2021论文目录 

 List of Publications

编（专）著Books / Chapters

  1. Chengqing Zong, Rui Xia and Jiajun, Text Data Mining, Springer, May 2021

国际刊物International Journals
计算机视觉Computer Vision

  1. Pengju Zhang, Bingxi Liu, Chaofan Zhang, and Yihong Wu. Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization. Pattern Recognition, Vol. 122, 2021.
  2. Hao Wei, Fulin Tang, Zewen Xu, Chaofan Zhang, Yihong Wu. A Point-Line VIO System with Novel Feature Hybrids and with Novel Line Predicting-Matching. IEEE Robotics and Automation Letters, pp. 8681-8688, 2021.
  3. Zewen Xu, Zheng Rong, Yihong Wu. A Survey: Which Features Are Required for Dynamic Visual SLAM? Visual Computing for Industry, Biomedicine, and Art, 4(20), 2021.
  4. B. Liu, L. Hu, Q. Dong*, and Z. Hu, An Iterative Co-Training Transductive Framework for Zero Shot Learning, IEEE Transactions on Image Processing, 30: 6943-6956, 2021.
  5. B. Liu, Q. Dong*, and Z. Hu, Semantic-diversity Transfer Network for Generalized Zero-Shot Learning via Inner Disagreement Based OOD Detector, Knowledge-Based Systems, 229: 107337, 2021.
  6. Jinxu Liu, Wei Gao, Zhanyi Hu, Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM, in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1670-1677, April 2021
  7. Jiali Han, Lingjie Zhu, Xiang Gao, Zhanyi Hu, Liyang Zhou, Hongmin Liu, Shuhan Shen. Urban Scene LOD Vectorized Modeling from Photogrammetry Meshes. IEEE Transactions on Image Processing, 30: 7458-7471, 2021.
  8. Jiali Han, Mengqi Rong, Hanqing Jiang, Hongmin Liu, Shuhan Shen. Vectorized Indoor Surface Reconstruction from 3D Point Cloud with Multistep 2D Optimization. ISPRS Journal of Photogrammetry and Remote Sensing, 177: 57-74, 2021. (Winner of CVPR 2021 International Scan-to-BIM Challenge)
  9. Xiang Gao, Lingjie Zhu, Zexiao Xie, Hongmin Liu, Shuhan Shen. Incremental Rotation Averaging. International Journal of Computer Vision, 129: 1202–1216, 2021.
  10. Hainan Cui, Tianxin Shi, Jun Zhang, Pengfei Xu, Yiping Meng, Shuhan Shen. View-graph Construction Framework for Robust and Efficient Structure-from-Motion. Pattern Recognition, 114: 107712, 2021.
  11. Xiang Gao, Lingjie Zhu, Hainan Cui, Zhanyi Hu, Hongmin Liu, Shuhan Shen. Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot. IEEE Sensors Journal, 21(10): 11858-11869, 2021.
  12. Xiangwei Dang#, Zheng Rong#, and Xingdong Liang. Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments. Sensors 2021, 21, 230. https://doi.org/10.3390/s21010230
  13. Yang Yang, Zichang Tan, Prayag Tiwari, Hari Mohan Pandey, Jun Wan, Zhen Lei, Guodong Guo, Stan Z. Li, "Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition", International Journal of Computer Vision (IJCV), 2021.
  14. Jun Wan, Sergio Escalera, Hugo Jair Escalante, Guodong Guo, Stan Z. Li, "Special Issue on Face Presentation Attack Detection", IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2021.
  15. Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao, "Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition", IEEE Transactions on Image Processing (TIP), 2021.
  16. Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z. Li, "Face Anti-spoofing via Adversarial Cross-modality Translation", IEEE Transactions on Information Forensics & Security (TIFS), 2021.
  17. Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao*, "NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-spoofing", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
  18. Jianzhu Guo*, Xiangyu Zhu*, Zhen Lei, Stan Z Li. Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition. IEEE Transactions on Information Forensics and Security (TIFS).
  19. Yang Yang*, Guan’an Wang*, Prayag Tiwari, Hari Mohan Pandey and Zhen Lei, Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
  20. Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models Mingyang Zhao, Xiaohong Jia, Lubin Fan, Yuan Liang, Dong-Ming Yan, IEEE Transactions on Image Processing, Vol. 30, 3828-3843, 2021
  21. Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud, Jianwei Guo, Xuejun Xing, Weize Quan, Dong-Ming Yan, Qingyi Gu, Yang Liu, Xiaopeng Zhang, IEEE Transactions on Image Processing, 2021
  22. An Occlusion-Resistant Circle Detector Using Inscribed Triangles Mingyang Zhao, Xiaohong Jia, Dong-Ming Yan, Pattern Recognition, Volume 109, January 2021, 107588
  23. Zhipeng Zhang, Yufan Liu, Bing Li, Weiming Hu, and Houwen Peng, “Towards accurate pixelwise object tracking via attention retrieval,” IEEE Transactions on Image Processing(TIP), vol. 30, pp. 8553-8566, 2021.
  24. Weiming Bai, Zhipeng Zhang; Bing Li, Pei Wang, Yangxi Li, Congxuan Zhang, and Weiming Hu, “Robust texture-aware computer-generated image forensic: benchmark and algorithm,” IEEE Transactions on Image Processing(TIP), vol. 30, pp. 8439-8453, 2021.
  25. Bo Wang, Chunfeng Yuan, Bing Li, Xinmiao Ding, Zeya Li, Ying Wu, and Weiming Hu, “Multi-scale low-discriminative feature reactivation for weakly supervised object localization,” IEEE Transactions on Image Processing(TIP), vol. 30, pp. 6050-6065, June 2021.
  26. Xiaofeng Ruan, Yufan Liu, Chunfeng Yuan, Bing Li, Weiming Hu, Yangxi Li, and Stephen Maybank, “EDP: An efficient decomposition and pruning scheme for convolutional neural network compression,” IEEE Transactions on Neural Networks and Learning Systems(TNNLS), vol. 32, no. 10, pp. 4499-4513, Oct. 2021.
  27. Xinmiao Ding, Bing Li, Yangxi Li, Wen Guo, Yao Liu, Weihua Xiong, and Weiming Hu, “Web objectionable video recognition based on deep multi-instance learning with representative prototypes selection,” IEEE Transactions on Circuits and Systems for Video Technology(CSVT), vol. 31, no. 3, pp. 1222-1233, 2021.
  28. Shuaiqi Liu, Siyu Miao, Jian Su, Bing Li, Weiming Hu, Yu-Dong Zhang, “UMAG-Net: A New Unsupervised Multiattention-Guided Network for Hyperspectral and Multispectral Image Fusion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.14, pp.7373-7385, 2021.
  29. Lu Zhou, Yingying Chen, Congqi Cao, Yakui Chu, Jinqiao Wang, Hanqing Lu: Macro-micro mutual learning inside compositional model for human pose estimation. Neurocomputing 449: 176-188 (2021)
  30. Lu Zhou, Yingying Chen, Congqi Cao, Jinqiao Wang, Hanqing Lu: STN-enhanced message passing guided by adversarial learning for human pose estimation. Neurocomputing 453: 60-72 (2021)
  31. Songyan Liu, Haiyun Guo, Kuan Zhu, Jinqiao Wang, Ming Tang: Unsupervised cycle-consistent person pose transfer. Neurocomputing 453: 502-511-72 (2021)
  32. Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He, “High-Fidelity Face Manipulation with Extreme Poses and Expressions,” IEEE Trans. on Information Forensics and Security, vol. 30, pp. 2218-2231, 2021.
  33. Yunfan Liu, Qi Li, Zhenan Sun, Tieniu Tan, “A (3) GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 2776-2790, 2021.
  34. Qiyao Deng, Qi Li, Jie Cao, Yunfan Liu, and Zhenan Sun, “Controllable Multi-Attribute Editing of High-Resolution Face Images,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 1410-1423, 2021.
  35. Mandi Luo, Jie Cao, Xin Ma, Xiaoyu Zhang, and Ran He, “FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 2341-2355, 2021.
  36. Mandi Luo, Xin Ma, Zhihang Li, Jie Cao, and Ran He, “Partial NIR-VIS Heterogeneous Face Recognition with Automatic Saliency Search,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 5003-5017, 2021.
  37. Jawad Muhammad, Yunlong Wang, Caiyong Wang, Kunbo Zhang, Zhenan Sun, “CASIA-Face-Africa: A Large-Scale African Face Image Database,” IEEE Trans. on Information Forensics and Security, vol. 16, pp. 3634-3646, 2021.
  38. Xuecai Hu, Zhang Zhang, Caifeng Shan, Zilei Wang, Liang Wang, Tieniu Tan, “Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters,” IEEE Trans. on Neural Networks and Learning Systems, vol. 16, no. 9, pp. 4151-4165, 2021.
  39. Zhihang Li, Teng Xi, Gang Zhang, Jingtuo Liu, Ran He*, “AutoDet: Pyramid Network Architecture Search for Object Detection,” International Journal of Computer Vision, vol. 18, no. 4, pp. 1087-1105, 2021.
  40. Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, RanHe, “LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition,” International Journal of Computer Vision, vol. 129, no. 5, pp. 1467-1483, 2021.
  41. Huaibo Huang, Aijing Yu, Zhenhua Chai, Ran He*, Tieniu Tan, “Selective Wavelet Attention Learning for Single Image Deraining,” International Journal of Computer Vision, vol. 129, no. 4, pp. 1282-1300, 2021.

图象/视频处理与分析Image/Video Processing and Analysis

  1. Zhengda Lu, Teng Wang, Jianwei Guo, Weiliang Meng, Ju Xiao, Xiaopeng Zhang. "Data-driven Floor Plan Understanding in Rural Residential Buildings via Deep Recognition." Information Sciences 567(2021): 58-74.
  2. Xuejun Xing, Jianwei Guo, Liangliang Nan, Qingyi Gu, Xiaopeng Zhang, Dong-Ming Yan. Efficient MSPSO Sampling for Object Detection and 6D Pose Estimation in 3D Scenes. IEEE Transactions on Industrial Electronics, to appear, 2021.
  3. Wei Wang, Junyu Gao, Xiaoshan Yang, Changsheng Xu: Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval. IEEE Transactions Multimedia. 23: 2386-2397 (2021)
  4. Junyu Gao, Xiaoshan Yang, Yingying Zhang, Changsheng Xu: Unsupervised Video Summarization via Relation-Aware Assignment Learning. IEEE Transactions Multimedia. 23: 3203-3214 (2021)
  5. Fan Qi, Xiaoshan Yang, Changsheng Xu: Emotion Knowledge Driven Video Highlight Detection. IEEE Transactions Multimedia. 23: 3999-4013 (2021)
  6. Yi Huang, Xiaoshan Yang, Junyu Gao, Jitao Sang, Changsheng Xu: Knowledge-driven Egocentric Multimodal Activity Recognition. ACM Transactions on Multimedia Computing, Communications, and Applications. 16(4): 133:1-133:133 (2021)
  7. Junyu Gao, Tianzhu Zhang, Changsheng Xu: Learning to Model Relationships for Zero-Shot Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3476-3491 (2021)
  8. Weifeng Liu, Jinfeng Li, Bao-Di Liu, Weili Guan, Yicong Zhou, Changsheng Xu: Unified Cross-domain Classification via Geometric and Statistical Adaptations. Pattern Recognit. 110: 107658 (2021)
  9. Fei Zhao, Ting Zhang, Yibing Song, Ming Tang, Xiaobo Wang, Jinqiao Wang: Siamese Regression Tracking with Reinforced Template Updating. IEEE Trans. Image Process. 30: 628-640 (2021)
  10. Yunze Gao, Yingying Chen, Jinqiao Wang, Hanqing Lu: Semi-Supervised Scene Text Recognition. IEEE Trans. Image Process. 30: 3005-3016 (2021)
  11. Ke Cheng, Yifan Zhang, Xiangyu He, Jian Cheng, Hanqing Lu: Extremely Lightweight Skeleton-Based Action Recognition with ShiftGCN++. IEEE Trans. Image Process. 30: 7333-7348 (2021)

人工智能Artificial Intelligence

  1. Zhiqiang Chen, Ting-Bing Xu, Weijian Liao, Zhengcheng Li, Jinpeng Li, Cheng-Lin Liu, Huiguang He. SNAP: Shaping Neural Architectures Progressively via Information Density Criterion. Pattern Recognition,116:107923,2021
  2. Yinqian Sun, Yi Zeng, Tielin Zhang. Quantum Superposition Inspired Spiking Neural Network. iScience, 24(8), 102880, 2021.
  3. Yuxuan Zhao, Yi Zeng, Guang Qiao. Brain-Inspired Classical Conditioning Model. iScience, 24(1), 101980, 2021.
  4. Tielin Zhang, Xiang Cheng, Shuncheng Jia, Mu-Ming Poo, Yi Zeng, Bo Xu. Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks. Science Advances, 7(43): eabh0146, 2021.
  5. Feifei Zhao, Yi Zeng, Jun Bai. Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Computation, 34 (1): 172–189, 2021.
  6. Qian Zhang, Yi Zeng, Tielin Zhang, Taoyi Yang. Comparison Between Human and Rodent Neurons for Persistent Activity Performance: A Biologically Plausible Computational Investigation. Frontiers in System Neuroscience, 15:628839,2021.
  7. Qian Liang, Yi Zeng. Stylistic Composition of Melodies based on a Brain-inspired Spiking Neural Network. Frontiers in Systems Neuroscience, 15:639484, 2021.
  8. Feifei Zhao, Yi Zeng. Dynamically Optimizing Network Structure Based on Synaptic Pruning in the Brain. Frontiers in Systems Neuroscience, 15:620558, 2021.
  9. Hongjian Fang, Yi Zeng, Feifei Zhao. Brain Inspired Sequences Production by Spiking Neural Networks with Reward-Modulated STDP. Frontiers in Computational Neuroscience, 15:612041, 2021.

模式识别Pattern Recognition

  1. Yixin Wang, Shuang Qiu, Xuelin Ma, Huiguang He, “A prototype-based SPD matrix network for domain adaptation EEG emotion recognition,” Pattern Recognition, vol.110, pp.107626,2021.
  2. Moein Radman, Ali Chaibakhsh, Nader Nariman-Zadeh, Huiguang He. Feature fusion for improving performance of motor imagery brain-computer interface system. Biomedical Signal Processing and Control,68:102763,2021
  3. Dan Li, Changde Du, Haibao Wang, Qiongyi Zhou, Huiguang He. Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding. IEEE Transactions on Multimedia,2021
  4. Yuhu Wang, Shen Fang, Chunxia Zhang, Shiming Xiang and Chunhong Pan, TVGCN: Time-Variant Graph Convolutional Network for Traffic Forecasting, Neurocomputing, accepted, 2021.
  5. Nuo Xu, Chunlei Huo, Xin Zhang, Yong Cao, Gaofeng Meng and Chunhong Pan, Dynamic camera configuration learning for high-confidence active object detection, Volume 466, pp 113-127, September 2021, Neurocomputing, accepted, 2021
  6. Xin Zhang, YiCheng Liu, Chunlei Huo, Nuo Xu, Lingfeng Wang, Chunhong Pan, PSNet: Perspective-Sensitive Convolutional Network for Object Detection. Neurocomputing, 2021
  7. Zhiqiang Chen, Ting-Bing Xu, Changde Du, Cheng-Lin Liu, Huiguang He, Dynamical channel pruning by conditional accuracy change for deep neural networks, IEEE Trans. Neural Networks and Learning Systems, vol. 32, no. 2, pp. 799-813, 2021.
  8. Cong Wang, Cheng-Lin Liu, Multi-branch guided attention network for irregular text recognition, Neurocomputing, vol. 425, pp. 278-289, 2021.
  9. Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu, Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks, Pattern Recognition, vol.114, pp. 107859, 2021.
  10. Wei Feng, Fei Yin, Xu-Yao Zhang, Wenhao He, Cheng-Lin Liu, Residual dual scale scene text spotting by fusing bottom-up and top-down processing, Int. J. Computer Vision, vol.129, pp. 619-637, 2021.
  11. Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu, BlockQNN: Efficient block-wise neural network architecture generation, IEEE Tran. Pattern Analysis and Machine Intelligence, vol.43, no. 7, pp. 2314-2328, 2021.
  12. Zhiqiang Chen, Ting-Bing Xu, Wenjian Liao, Zhengcheng Li, Cheng-Lin Liu, Huiguang He, SNAP: Shaping neural architectures progressively via information density criterion, Pattern Recognition, vol.116, pp. 107923, 2021.
  13. Tanmay Jain, Shivakumara Palaiahnakote, Umapada Pal, Cheng-Lin Liu, Deformable scene text detection using harmonic features and modified pixel aggregation network, Pattern Recognition Letters, vol.152, pp. 135-142, 2021.
  14. Li Liu, Linlin Huang, Fei Yin, Youbin Chen, Offline signature verification using a region based deep metric learning network, Pattern Recognition, vol.118, pp. 108009, 2021.
  15. Guo-Sen Xie, Xu-Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, Ling Shao. VMAN: A virtual mainstay alignment network for transductive zero-shot learning. IEEE Trans. Image Processing (TIP), vol. 30, pp. 4316-4329, 2021.
  16. Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao. Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue, Knowledge-Based Systems, Vol.227,1-12,2021
  17. Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao.A Unified Shared-Private Network with Denoising for Dialogue State Tracking, Journal of Computer Science & Technology, Vol.36,1407-1419,2021
  18. Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu.Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition, Data Intelligence, Vol.3,389–401,2021
  19. Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu: Scene Segmentation with Dual Relation-Aware Attention Network. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2547-2560 (2021)
  20. Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng: Unsupervised Network Quantization via Fixed-Point Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2706-2720 (2021)
  21. Fei Zhao, Ting Zhang, Yi Wu, Ming Tang, Jinqiao Wang: Antidecay LSTM for Siamese Tracking with Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4475-4489 (2021)
  22. Bin Yu, Ming Tang, Guibo Zhu, Jinqiao Wang and Hanqing Lu: Enhanced Bounding Box Estimation with Distribution Calibration for Visual Tracking. Sensors 21(23): 8100 (2021)
  23. Ke Han, Yan Huang, Chunfeng Song, Liang Wang, TieniuTan, “Adaptive super-resolution for person re-identification with low-resolution images,” Pattern Recognition, vol. 465, 2021.
  24. Hongyuan Yu, Yan Huang, Lihong Pi, Chengquan Zhang, Xuan Li, LiangWang, “End-to-end video text detection with online tracking,” Pattern Recognition, vol. 114, 2021.
  25. Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan, “GraphAIR: Graph representation learning with neighborhood aggregation and interaction,” Pattern Recognition, vol. 113, 2021.
  26. Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He*, “Learning Robust Feature Transformation for Domain Adaptation,” Pattern Recognition, vol. 112, 2021.
  27. Ran He, Yi Li, Xiang Wu, Lingxiao Song, Zhenhua Chai, Xiaolin Wei, “Coupled adversarial learning for semi-supervised heterogeneous face recognition,” Pattern Recognition, vol. 114, 2021.
  28. Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He, “Deep Audio-visual Learning: A Survey,” International Journal of Automation and Computing, vol. 51, no. 3, pp. 351-376, 2021.
  29. Gengyun Jia, Meisong Zheng, Chuanrui Hu, Xin Ma, Yuting Xu, Luoqi Liu, Yafeng Deng, Ran He, “Inconsistency-aware Wavelet Dual-branch Network for Face Forgery Detection,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 32, no. 3, pp. 308-319, 2021.

机器学习Machine learning

  1. Changde Du, Changying Du, Huiguang He, “Multimodal Deep Generative Adversarial Models for Scalable Doubly Semi-Supervised Learning,” Information Fusion, vol. 68, pp.118-130, 2021.
  2. Dan Li, Changde Du, Shengpei Wang, Haibao Wang, Huiguang He, “Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning,” Information Sciences, vol.547, no.8, pp.1025-1044,2021.
  3. Zhiqiang Chen, Ting-Bing Xu, Changde Du, ChengLin Liu, Huiguang He, “Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks,” IEEE Transactions on Neural Networks and Learning Systems,2021.
  4. Chuncheng Zhang, Shuang Qiu, Shengpei Wang, Huiguang He. Target Detection using Ternary-classification during a Rapid Serial Visual Presentation Task using Magnetoencephalography Data. Frontiers in Computational Neuroscience, 15:619508, 2021
  5. Qiang Yu, Xinyu Xiao, Chunxia Zhang, Lifei Song, Chunhong Pan. Extracting Effective Image Attributes with Refined Universal Detection. Sensors, 2021, 21(1): 95.
  6. Huaiyu Li, Weiming Dong, Bao-Gang Hu: Incremental Concept Learning via Online Generative Memory Recall. IEEE Transactions on Neural Networks and Learning Systems 32(7): 3206-3216 (2021)
  7. Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng: SpatialFlow: Bridging All Tasks for Panoptic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2288-2300 (2021)
  8. Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, “Disentangled Item Representation for Recommender Systems,” ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 30, no. 2, pp. 1-20, 2021.

计算机图形学Computer Graphics

  1. Combining Convex Hull and Directed Graph for Fast and Accurate Ellipse Detection, Zeyu Shen, Mingyang Zhao, Xiaohong Jia, Yuan Liang, Lubin Fan, Dong-Ming Yan, Graphical Models (Special Issue of CVM), 2021
  2. Extracting Cycle-aware Feature Curve Networks from 3D Models, Zhengda Lu, Jianwei Guo, Jun Xiao, Ying Wang, Xiaopeng Zhang, Dong-Ming Yan, Computer-Aided Design, Volume 131, February 2021
  3. Mengke Yuan, Bernard Ghanem, Dong-Ming Yan, Baoyuan Wu, Xiaopeng Zhang, Peter Wonka, Customized Summarizations of Visual Data Collections, Computer Graphics Forum, 2021
  4. Yanchao Liu, Jianwei Guo, Bedrich Benes, Oliver Deussen, Xiaopeng Zhang, Hui Huang. TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction. ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 40(6), Article 232, 2021.
  5. Zhihao Liu, Kai Wu, Jianwei Guo, Yunhai Wang, Oliver Deussen, Zhanglin Cheng. Single Image Tree Reconstruction via Adversarial Network. Graphical Models, 2021.
  6. Lan Chen, Juntao Ye, Xiaopeng Zhang, Multi-Feature Super-Resolution Network for Cloth Wrinkle Synthesis, Journal of Computer Science and Technology, volume 36, pp. 478-493, 2021.
  7. Xingjia Pan, Fan Tang, Weiming Dong, Chongyang Ma, Yiping Meng, Feiyue Huang, Tong-Yee Lee, Changsheng Xu: Content-Based Visual Summarization for Image Collections. IEEE Transactions on Visualization and Computer Graphics 27(4): 2298-2312, 2021

多媒体计算Multimedia Computing

  1. Zhongqi Wu, Chuanqing Zhuang, Jian Shi, Jianwei Guo, Jun Xiao, Xiaopeng Zhang, Dong-Ming Yan. Single-Image Specular Highlight Removal via Real-World Dataset Construction. IEEE Transactions on Multimedia, Early Access, 2021.
  2. Yingying Deng, Fan Tang, Weiming Dong, Chongyang Ma, Feiyue Huang, Oliver Deussen, Changsheng Xu: Exploring the Representativity of Art Paintings. IEEE Transactions on Multimedia, 23: 2794-2805, 2021
  3. Minxuan Lin, Fan Tang, Weiming Dong, Xiao Li, Changsheng Xu, Chongyang Ma: Distribution Aligned Multimodal and Multi-Domain Image Stylization. ACM Transactions on Multimedia Computing, Communications, and Applications 17(3): 96:1-96:17, 2021
  4. Yifan Jiao, Hantao Yao, Changsheng Xu: PEN: Pose-Embedding Network for Pedestrian Detection. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1150-1162, 2021
  5. Sisi You, Hantao Yao, Changsheng Xu: Multi-Target Multi-Camera Tracking with Optical-Based Pose Association. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3105-3117, 2021
  6. Yifan Jiao, Hantao Yao, Changsheng Xu: SAN: Selective Alignment Network for Cross-Domain Pedestrian Detection. IEEE Trans. Image Process. 30: 2155-2167, 2021
  7. Yukun Zuo, Hantao Yao, Changsheng Xu: Attention-Based Multi-Source Domain Adaptation. IEEE Trans. Image Process. 30: 3793-3803, 2021
  8. Yaoyu Li, Hantao Yao, Changsheng Xu: TEST: Triplet Ensemble Student-Teacher Model for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 30: 7952-7963, 2021
  9. Shaobo Min, Hantao Yao, Hongtao Xie, Zheng-Jun Zha, Yongdong Zhang: Domain-Oriented Semantic Embedding for Zero-Shot Learning. IEEE Trans. Multim. 23: 3919-3930, 2021
  10. Yaoyu Li, Hantao Yao, Tianzhu Zhang, Changsheng Xu: Part-based Structured Representation Learning for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 134:1-134:22, 2021
  11. Xiaoheng Jiang, Li Zhang, Tianzhu Zhang, Pei Lv, Bing Zhou, Yanwei Pang, Mingliang Xu, Changsheng Xu: Density-Aware Multi-Task Learning for Crowd Counting. IEEE Trans. Multim. 23: 443-453, 2021
  12. Yuqi Gao, Jitao Sang, Chengpeng Fu, Zhengjia Wang, Tongwei Ren, Changsheng Xu: Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search. IEEE Trans. Multim. 23: 510-523, 2021
  13. Zhaoquan Yuan, Siyuan Sun, Lixin Duan, Changsheng Li, Xiao Wu, Changsheng Xu: Adversarial Multimodal Network for Movie Story Question Answering. IEEE Trans. Multim. 23: 1744-1756, 2021
  14. Jun Hu, Shengsheng Qian, Quan Fang, Changsheng Xu: Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching. IEEE Trans. Multim. 23: 2321-2334, 2021
  15. Chaofan Chen, Shengsheng Qian, Quan Fang, Changsheng Xu: HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. IEEE Trans. Multim. 23: 2335-2346, 2021
  16. Yufan Hu, Junyu Gao, Changsheng Xu: Learning Dual-Pooling Graph Neural Networks for Few-Shot Video Classification. IEEE Trans. Multim. 23: 4285-4296, 2021
  17. Shengsheng Qian, Jun Hu, Quan Fang, Changsheng Xu: Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection. ACM Trans. Multim. Comput. Commun. Appl. 17(3): 98:1-98:23, 2021
  18. Fei Liu, Jing Liu, Zhiwei Fang, Richang Hong, Hanqing Lu: Visual Question Answering with Dense Inter- and Intra-Modality Interactions. IEEE Trans. Multim. 23: 3518-3529, 2021

医学图像分析Medical Image Analysis

  1. Bo Wang, Shengpei Wang, Shuang Qiu, Wei Wei, Haibao Wang, Huiguang He, “CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images,” IEEE Journal of Biomedical and Health Informatics, 2021
  2. Jinpeng Li, Gangming Zhao, Yaling Tao, Penghua Zhai, Hao Chen, Huiguang He, Ting Cai. Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19. Pattern Recognition, 114:107848, 2021
  3. Bo Wang, Wei Wei, Shuang Qiu, Shengpei Wang, Dan Li, Huiguang He. Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images. IEEE Journal of Biomedical and Health Informatics(JBHI), 25(8):3029-3040, 2021
  4. Zhou XA, Blackmore DG, Zhuo J, Nasrallah FA, To X, Kurniawan ND, Carlisle A, Vien KY, Chuang KH, Jiang T, Bartlett PF. Neurogenic-dependent changes in hippocampal circuitry underlie the procognitive effect of exercise in aging mice. iScience. 2021;24(12):103450
  5. Long H, Fan M, Yang X, Guan Q, Huang Y, Xu X, Xiao J, Jiang T. Sex-related Difference in Mental Rotation Performance is Mediated by the special Functional Connectivity Between the Default Mode and Salience Networks. Neuroscience. 2021; 478:65-74.
  6. Zhang B, Wang K, Jiang T. RF power design optimization in MRI system. Magnetic Resonance Letters. 2021;1(1):89-98
  7. Miller SR, Yu S, Pajevic S, Plenz D. Long-term stability of avalanche scaling and integrative network organization in prefrontal and premotor cortex. Network Neuroscience. 2021;5(2):505-26
  8. Hua J, Yang Z, Jiang T, Yu S. Pairwise interactions in gene expression determine a hierarchical transcriptional profile in the human brain. Science Bulletin, 2021;66(14): 1437-1447
  9. Cao D, Li Y, Tang Y, Functional specificity of the left ventrolateral prefrontal cortex in positive reappraisal: A single-pulse transcranial magnetic stimulation study. Cogn Affect Behav Neurosci. 2021;21(4):793-804
  10. Song P, Cao D, Li S, Wang R, Wang Y, Lin H, Effects of hyperventilation with face mask on brain network in patients with epilepsy. Epilepsy Res. 2021; 176:106741
  11. Li W, Li Y, Cao D, The effectiveness of emotion cognitive reappraisal as measured by self-reported response and its link to EEG alpha asymmetry. Behav Brain Res. 2021; 400:113042
  12. Wang X, Zhang Z, Li H, Chen Y, Mi Y, and Hu G, Exploring node interaction relationship in complex networks by using high-frequency signal injection, Phys. Rev. E, 2021;103(2):022317
  13. Fan L, Mapping the Human Brain: What is the Next Frontier? The Innovation: 2021;100073
  14. Cheng L, Zhang Y, Li G, Wang J, Sherwood C.C, Gong G, Fan L, Jiang T, Connectional Asymmetry of the Inferior Parietal Lobule Shapes Hemispheric Specialization in Humans, Chimpanzees, and Rhesus Macaques. eLife, 2021;10: e67600
  15. Wang H, Fan L, Song M, Liu B, Wu D, Jiang R, Li J, Li A, Banaschewski T, Bokde AL, Quinlan EB. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence. Cerebral Cortex. 2021;31(5):2686-700
  16. Friedrich P, Forkel SJ, Amiez C, Balsters JH, Coulon O, Fan L, Goulas A, Hadj-Bouziane F, Hecht EE, Heuer K, Jiang T. Imaging evolution of the primate brain: the next frontier? NeuroImage. 2021; 5:117685
  17. Zhong G., Yang Z., Jiang T., Precise Modulation Strategies for Transcranial Magnetic Stimulation: Advances and Future Directions. Neurosci Bull. 2021;37(12):1718-34
  18. Pang K, Jiang R, Zhang W, Yang Z, Li LL, Shimozawa M, Tambaro S, Mayer J, Zhang B, Li M, Wang J. An App knock-in rat model for Alzheimer’s disease exhibiting Aβ and tau pathologies, neuronal death and cognitive impairments. Cell Research. 2021; 17:1-9
  19. Ma L., Tian L., Hu T., Jiang T. and Zuo N., Development of Individual Variability in Brain Functional Connectivity and Capability across the Adult Lifespan, Cerebral Cortex, 2021;31:3925–3938
  20. Zhuo J, Zhang Y, Liu Y, Liu B, Zhou X, Bartlett PF, Jiang T, Alzheimer’s Disease Neuroimaging Initiative. New Trajectory of Clinical and Biomarker Changes in Sporadic Alzheimer’s Disease. Cerebral Cortex. 2021;31(7):3363-73
  21. Song M, He J, Yang Y, Jiang T. Combination of Biomedical Techniques and Paradigms to Improve Prognostications for Disorders of Consciousness. Neuroscience Bulletin. 2021; 15:1-3
  22. Shi W, Fan L, Jiang T. Developing Neuroimaging Biomarker for Brain Diseases with a Machine Learning Framework and the Brainnetome Atlas. Neuroscience Bulletin. 2021; 14:1-3
  23. He Y, Li K, Li J, Wang J, Cheng N, Xiao J, Jiang T. Cingulum White Matter Integrity as a Mediator Between Harm Avoidance and Hostility. Neuroscience. 2021; 461:36-43
  24. Qu Y, Wang P, Liu B, Song C, Wang D, Yang H, Zhang Z, Chen P, Kang X, Du K, Yao H, et al. AI4AD: artificial intelligence analysis for Alzheimer's disease classification based on a multisite DTI database. Brain Disorders. 2021; 1:100005
  25. Hu K, Wang M, Liu Y, Yan H, Song M, Chen J, Chen Y, Wang H, Guo H, Wan P, Lv L, et al. Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score. NeuroImage: Clinical. 2021; 32:102860
  26. Si J, Zhang X, Li M, Yu J, Zhang Z, He Q, Chen S, Zhu L, Jiang T. Wearable wireless real-time cerebral oximeter for measuring regional cerebral oxygen saturation. Science China Information Sciences. 2021;64(1)
  27. Zuo N, Hu T, Liu H, Sui J, Liu Y, Jiang T. Gray Matter-Based Age Prediction Characterizes Different Regional Patterns. Neuroscience Bulletin. 2021;37(1):94-98
  28. Yao D, Sui J, Wang M, Yang E, Jiaerken Y, Luo N, et al. A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. Ieee T Med Imaging. 2021;40(4):1279-89

生物图像分析Biology Image Analysis

  1. Zejin Wang, Jing Liu, Xi Chen, Guoqing Li, Hua Han. Sparse self-attention aggregation networks for neural sequence slice interpolation. BioData Mining, vol. 14, no. 1, pp. 1-19, 2021
  2. Fangxu Zhou, Lijun Shen, Bohao Chen, Xi Chen, Hua Han. Human Attention‐inspired Volume Reconstruction Method on Serial Section Electron Microscopy Images. Cytometry Part A, vol. 99, no. 6, pp. 575-585, 2021
  3. Yi Jiang, Linlin Li, Xi Chen, Jiazheng Liu, Jingbin Yuan, Qiwei Xie, Hua Han. Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum‒organelle interactions, Journal of Molecular Cell Biology, vol. 13, no. 9, pp. 636-645, 2021
  4. Jing Liu, Bei Hong, Xi Chen, Qiwei Xie, Yuanyan Tang, Hua Han. An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume. Biomedical Signal Processing and Control, 2021, vol. 69, pp. 102829, 2021
  5. Jing Liu, Shengxiong Wang, Yan Lu, Haoyu Wang, Fangfang Wang, Miaoxin Qiu, Qiwei Xie, Hua Han, Yunfeng Hua. Aligned Organization of Synapses and Mitochondria in Auditory Hair Cell. Neuroscience Bulletin, 2021
  6. Keliang Pang, Richeng Jiang, Wei Zhang, Zhengyi Yang, Lin-Lin Li, Makoto Shimozawa, Simone Tambaro, Johanna Mayer, Baogui Zhang, Man Li, Jiesi Wang, Hang Liu, Ailing Yang, Xi Chen, Jiazheng Liu, Bengt Winblad, Hua Han, Tianzi Jiang, Weiwen Wang, Per Nilsson, Wei Guo, Bai Lu. An App knock-in rat model for Alzheimer’s disease exhibiting Aβ and tau pathologies, neuronal death and cognitive impairments. Cell Research, 2021
  7. Shuang Qiu, Shengpei Wang, Weiwei Peng, Weibo Yi, Chuncheng Zhang, Jing Zhang, Huiguang He. Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects. Cognitive Neurodynamics, 2021

遥感Remote Sensing

  1. Jiazheng Liu, Weifu Li, Jiangtao Peng, Qiwei Xie, Hua Han, Peng Zhang, Lei Yang. Geolocation Error Estimation and Correction on Long-Term MWRI Data. IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 11, pp. 9448-9461, 2021

语音语言技术Speech and Language Technology

  1. Lu Xiang, Junnan Zhu, Yang Zhao, Yu Zhou, and Chengqing Zong. Robust Cross-lingual Task-oriented Dialogue. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 20, No. 6, Article 93, 24 pages, July 2021
  2. Fan Cunhang, Yi Jiangyan, Tao Jianhua, Tian Zhengkun, Liu Bin, Wen Zhengqi. Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition. IEEE/ACM Transactions On Audio, Speech, and Language Processing, Vol. 29, 98-209, January 2021
  3. Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Tong Liu, Self-supervised graph representation learning via bootstrapping. Neurocomputing, Vol. 456, 88-96, October 2021
  4. Mingyue Niu, Bin Liu, Jianhua Tao, Qifei Li, A time-frequency channel attention and vectorization network for automatic depression level prediction. Neurocomputing, Vol. 450, 208-218, August 2021
  5. Zheng Lian, Bin Liu, Jianhua Tao, DECN: Dialogical Emotion Correction Network for Conversational Emotion Recognition. Neurocomputing, Vol. 454, 483-495, September 2021
  6. Zheng Lian, Bin Liu, Jianhua Tao, CTNet: Conversational Transformer Network for Emotion Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), Vol.29, 985–1000,2021
  7. Yongwei Li, Jianhua Tao, Donna Erickson, Bin Liu, Masato Akagi, F0-Noise-Robust Glottal Source and Vocal Tract Analysis Based on ARX-LF Model. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.29, 3375-3383, 2021
  8. Feihu Che, Jianhua Tao, Guohua Yang, Tong Liu, Dawei Zhang, Multi-aspect self-supervised learning for heterogeneous information network. Knowledge-Based Systems, Vol.233, December 2021
  9. Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Zhengkun Tian, and Shuai Zhang, Integrating Knowledge into End-to-End Speech Recognition from External Text-Only Data. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.29, 1340-1351, 2021
  10. Ye Bai, Jiangyan Yi, Jianhua Tao, Zhengkun Tian, Zhengqi Wen and Shuai Zhang, Fast End-to-End Speech Recognition Via Non-Autoregressive Models and Cross-Modal Knowledge Transferring from BERT, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol.29, 1897-1911,2021
  11. Pengpeng Shao, Dawei Zhang, Guohua Yang, Jianhua Tao, Feihu Che, Tong Liu, Tucker Decomposition-based Temporal Knowledge Graph Completion. Knowledge-Based Systems, 2021
  12. Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Bjorn W. Schuller, Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition, Vol.141, 52–60, September 2021
  13. Shan Liang, Guanjun Li, Shuai Nie, Zhanlei Yang, Wenju Liu, and Jianhua Tao, Exploiting the directional coherence function for multichannel source extraction, Speech Communication, vol.128, pp. 1-14, 2021
  14. Guanjun Li, Shan Liang, Shuai Nie, Wenju Liu, Zhanlei Yang, Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition, Neural Networks, vol.141, pp. 225-237, 2021
  15. Xiao Sun, Zhengmeng Pei, Chen Zhang, Guoqiang Li, Jianhua Tao. Design and Analysis of a Human-Machine Interaction System for Reseraching Human's Dynamic Emotion, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol: 51, Issue: 10, 2021

国内刊物National Journals

  1. 龙霄潇，程新景，朱昊，张朋举，刘浩敏，李俊，郑林涛，胡庆拥，刘浩，曹汛，杨睿刚，吴毅红，章国锋，刘烨斌，徐凯，郭裕兰，陈宝权，三维视觉前沿进展,中国图象图形学报,26(6):1389-1428, 2021
  2. 王伟，于磊，任国恒，陈立勇，董秋雷，胡占义，城市建筑立面三维“线-面”结构快速重建，电子学报，49(8)：1551-1560，2021-08
  3. 赵耀，田永鸿，党建武，付树军，王恒友，万军，安高云，杜卓然，廖理心，韦世奎，面向智慧城市的交通视频结构化分析前沿进展，中国图象图形学报，26(6): 1227-1253, 2021
  4. Yang T., Luo Y., Ji W., and Yang G. Advancing biological super-resolution microscopy through deep learning: a brief review, Biophysics Reports, vol. 7, no. 4, pp. 253-266
  5. 向露，朱军楠，周玉，宗成庆，基于多粒度对抗训练的鲁棒跨语言对话系统，自动化学报，2021,47(8): 1855−1866
  6. 陈仲豪，朱军楠，向露，周玉，宗成庆，面向中文微博的情绪-原因对抽取数据集构建及分析研究，中文信息学报
  7. 刘一龙，孟维亮，张晓鹏，多目鱼眼相机系统的视觉里程计解决方案，中国体视学与图像分析，26（3）：278-291，2021
  8. 王超群，全卫泽，侯诗玉，张晓鹏，严冬明，结合门循环单元和生成对抗网络的图像文字去除，11，2021
  9. 张颐康，张恒，刘永革，刘成林：基于跨模态深度度量学习的甲骨文字识别，自动化学报，卷47 期4 页: 791-800, 2021-04
  10. 王丹力，郑楠，刘成林，综合集成研讨厅体系起源、发展现状与趋势，自动化学报，卷47 期 8 页: 1822-1839, 2021-08
  11. Kekai Sheng, Weiming Dong, Haibin Huang, Guohui Wang, Yong Zhang, Chongyang Ma, Bao-Gang Hu: Learning to Assess Visual Aesthetics of Food Images. Computational Visual Media, 7(1): 139-152, 2021
  12. Dong Chen, Fan Tang, Weiming Dong, Hanxing Yao, Changsheng Xu: SiamCPN: Visual Tracking with the Siamese Center-Prediction Network. Computational Visual Media, 7(2): 253-265, 2021
  13. 徐金才，任民，李琦，孙哲南，图象对抗样本的安全性研究概述，信息安全研究，vol. 7, no. 4, pp. 294-309, 2021
  14. 卞明运，彭勃，王伟，董晶，基于空洞卷积的低质量人脸深度伪造图片检测，现代电子技术，vol. 6, pp. 133-138, 2021
  15. 孙哲南，赫然，王亮，阚美娜，冯建江，郑方，郑伟诗，左旺孟，康文雄，邓伟洪，张杰，韩琥，山世光，王云龙，茹一伟，朱宇豪，刘云帆，何勇，生物特征识别学科发展报告，中国图象图形学报，vol. 26, no. 6, pp. 1254-1329, 2021.
  16. 王成龙，易江燕，陶建华，马浩鑫，田正坤，傅睿博，基于全局-时频注意力网络的语音伪造检测，计算机研究与发展，卷:58 期:7 页:1466-1475, 2021-07
  17. 佘文祥，刘斌，陶建华，张昊，吕钊，多通道运动特征融合的微表情识别方法，计算机辅助设计与图形学学报，卷:33 期:9 页:1457-1465, 2021-09
  18. 董永峰，苏海洋，刘斌，陶建华，基于多头注意力机制的模型层融合维度情感识别方法，信号处理，卷:37 期:5 页:885-892, 2021-05
  19. Ziping Zhao, Keru Wang, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Bjorn W. Schuller, Self-attention transfer networks for speech emotion recognition, Virtual Reality & Intelligent Hardware, 3(1):43-54, 2021-02
  20. Jian Huang, Bin Liu, Jianhua Tao.Learning long-term temporal contexts using skip RNN for continuous emotion recognition, Virtual Reality & Intelligent Hardware, 3(1):55-64, 2021-02

国际会议International Conferences
计算机视觉Computer Vision

  1. Hao Wei, Fulin Tang, Chaofan Zhang, Yihong Wu. Highly Efficient Line Segment Tracking with an IMU-KLT Prediction and a Convex Geometric Distance Minimization. ICRA, 2021
  2. Bingxi Liu, Yujie Fu, Fulin Tang, Yanqun Yang, Yihong Wu. A Flexible and Efficient Loop Closure Detection based on Motion Knowledge. ICRA, 2021
  3. Yujia Zhai, Fulin Tang, Weijun Li, Jian Xu, Yihong Wu. 3OFLR-SLAM: Visual SLAM with 3D-assisting Optical Flow and Local-RANSAC. ACPR, 2021
  4. Pengju Zhang, Chaofan Zhang, Zheng Rong, Yihong Wu. Learning to Decompose and Restore Low-light Images with Wavelet Transform. ACM MM Asia, 2021
  5. B. Liu, Q. Dong*, and Z. Hu, Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning, In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16499-16506, 2021
  6. S. Fan, Q. Dong*, F. Zhu, et al. SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation, In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 14504-14511, 2021
  7. S. Deng, B. Liu, Q. Dong*, and Z. Hu, Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation, In Proc. IEEE International Conference on Multimedia and Expo (ICME), 2021
  8. L. Niu, Q. Dong*, J. Ye, Z. Gu, Real-Time Localization and Matching of Corneal Reflections for Eye Gaze Estimation via a Lightweight Network, The Ninth International Symposium of Chinese CHI, 2021
  9. Heping Li, Changliang Xue, Feng Wen, Hongbo Zhang, Wei Gao, BSP-MonoLoc: Basic Semantic Primitives Based Monocular Localization on Roads, IROS 2021
  10. Jinxu Liu, Wei Gao, Zhanyi Hu, Optimization-Based Visual-Inertial SLAM Tightly Coupled with Raw GNSS Measurements, Xi’an International Convention and Exhibition Center, Xi'an, China, 5.30-6.5, ICRA 2021
  11. Zhuo Song, Chuting Wang, Yuqian Liu, Shuhan Shen. Recalling Direct 2D-3D Matches for Large-Scale Visual Localization. IROS 2021
  12. Mingzhe Lv, Diantao Tu, Xincheng Tang, Yuqian Liu, Shuhan Shen. Semantically Guided Multi-View Stereo for Dense 3D Road Mapping. ICRA 2021
  13. Benjia Zhou, Yunan Li, Jun Wan, "Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition", AAAI, 2021
  14. Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li, "CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing", WACV, 2021
  15. Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo "3D High-Fidelity Mask Face Presentation Attack Detection Challenge", ICCVW, 2021
  16. Zenghao Bao, Zichang Tan, Yu Zhu, Jun Wan, Xibo Ma, Zhen Lei, Guodong Guo, "LAE: Long-tailed Age Estimation", Computer Analysis of Images and Patterns(CAIP), 2021
  17. Xiangyu Zhu*, Hao Wang*, Hongyan Fei, Zhen Lei, Stan Z. Li. Face Forgery Detection by 3D Decomposition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  18. Zhiwei Liu*, Xiangyu Zhu*, et al. Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation. ACM International Conference on Multimedia (MM), 2021
  19. You B., and Yang G. (2021) Attention-based LSTM for motion switching detection of particles in living cells, 2021 International Joint Conference on Neural Networks, pp. 1-6, doi: 10.1109/IJCNN52387.2021.9533629. (oral presentation).
  20. Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong, Gaofeng Meng, Véronique Prinet and Lubin Weng, Enhanced Boundary Learning for Glass-like Object Segmentation, Proceedings of the IEEE/CVF International Conference on Computer Vision, pp 15859-15868, October, 2021.
  21. Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 7437-7446, 2021.
  22. Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang and Chunhong Pan. Knowledge Mining and Transferring for Domain Adaptive Object Detection. In Proceedings of the International Conference on Computer Vision, pp. 9133-9142
  23. Qiang Yu, Xianbing Pan, Shiming Xiang, Chunhong Pan. 3D-SceneCaptioner: Visual Scene Captioning Network for Three-Dimensional Point Clouds [C]. Chinese Conference on Pattern Recognition and Computer Vision, 2021
  24. Robust Ellipsoid-Specific Fitting via Expectation Maximization, Mingyang Zhao, Xiaohong Jia, Lei Ma, Xinling Qiu, Xin Jiang, Dong-Ming Yan, British Machine Vision Conference (BMVC), 2021
  25. Deep Video Decaptioning, Pengpeng Chu, Weize Quan, Tong Wang, Pan Wang, Peiran Ren, Dong-Ming Yan, British Machine Vision Conference (BMVC), 2021
  26. Text-Aware Single Image Specular Highlight Removal, Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan, 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021
  27. Robust Multi-View Registration of Point Sets with Laplacian Mixture Model, Jin Zhang, Mingyang Zhao, Xin Jiang, Dong-Ming Yan, 6th Asian Conference on Pattern Recognition (ACPR Oral), 2021
  28. Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, and Weiming Hu, “Learn to match: automatic matching network design for visual tracking,” IEEE International Conference on Computer Vision (ICCV), pp. 13339-13348, 2021
  29. Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, and Weiming Hu, “Channel-wise topology refinement graph convolution for skeleton-based action recognition,” IEEE International Conference on Computer Vision (ICCV), pp. 13359-13368, 2021
  30. Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, and Chunhong Pan, “Differentiable convolution search for point cloud processing,” IEEE International Conference on Computer Vision (ICCV), pp. 7437-7446, 2021
  31. Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Ying Deng, and Weiming Hu, “Open-book video captioning with retrieve-copy-generate network,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9837-9846, 2021
  32. Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, and Weiming Hu, “DPFPS: Dynamic and progressive filter pruning for compressing convolutional neural networks from scratch,” AAAI Conference on Artificial Intelligence (AAAI), pp. 2495-2503, 2021
  33. Xingjia Pan, Yingguo Gao, Zhiwen Lin, Fan Tang, Weiming Dong, Haolei Yuan, Feiyue Huang, Changsheng Xu: Unveiling the Potential of Structure-preserving for Weakly Supervised Object Localization. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021: 11642-11651
  34. Yu Zhu, Bosong Ding, Chenghua Li, Wanli Qian, Fangya Li, Yiheng Yao, Ruipeng Gang, Chunjie Zhang, Jian Cheng: LTNet: Light Transfer Network for Depth Guided Image Relighting. CVPR Workshops 2021: 243-251
  35. Linyu Zheng, Ming Tang, Yingying Chen, Guibo Zhu, Jinqiao Wang, Hanqing Lu: Improving Multiple Object Tracking with Single Object Tracking. CVPR 2021: 2453-2462
  36. Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng: Generative Zero-Shot Network Quantization. CVPR Workshops 2021: 3000-3011
  37. Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang: Adaptive Class Suppression Loss for Long-Tail Object Detection. CVPR 2021: 3103-3112
  38. Fei Liu, Jing Liu, Weining Wang, Hanqing Lu: HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering. ICCV 2021: 1698-1707
  39. Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu Jinqiao Wang, Hao Feng, Xuetao Feng, Hanqing Lu: High-Performance Discriminative Tracking with Transformers. ICCV 2021: 9856–9865
  40. Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang: Fast Kernelized Correlation Filter without Boundary Effect. WACV 2021: 2998-3007
  41. Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He, “CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification,” Proc. IEEE International Conference on Computer Vision, pp. 11823-11832, October 2021
  42. Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan, “Learning Instance-level Spatial-Temporal Patterns for Person Re-identification,” Proc. IEEE International Conference on Computer Vision, pp. 14930-14939, October 2021
  43. Yuxi Wang, Junran Peng, Zhaoxiang Zhang, “Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation,” Proc. IEEE International Conference on Computer Vision, pp. 9092-9101, October 2021
  44. Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, “RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection,” Proc. IEEE International Conference on Computer Vision, pp. 2918-2927, October 2021

模式识别Pattern Recognition

  1. Yukun Zhang, Shuang Qiu, Wei Wei, Xuelin Ma, Huiguang He. Filter Bank Adversarial Domain Adaptation For Motor Imagery Brain Computer Interface. 2021 International Joint Conference on Neural Networks (IJCNN), 2021
  2. Jiayu Mao, Shuang Qiu, Dan Li, Wei Wei, Huiguang He. A Cross-Modal Guiding and Fusion Method for Multi-Modal RSVP-based Image Retrieval. 2021 International Joint Conference on Neural Networks (IJCNN), 2021
  3. Kangning Wang, Shuang Qiu, Wei Wei, Chuncheng Zhang, Huiguang He, Minpeng Xu and Dong Ming. Vigilance Estimating in SSVEP-Based BCI Using Multimodal Signals. IEEE Engineering in Medicine & Biology Society (EMBC), 2021
  4. Xinyi Zhang, Shuang Qiu, Minghao Geng, Huiguang He. Enhancing Detection of SSVEPs for High-Speed Brain-Computer Interface with a Siamese Architecture. BIBM 2021: International Conference on Bioinformatics & Biomedicine, 2021
  5. Yuhang Chen, Bolin Ni, Gaofeng Meng, and Baoyin Sha, Joint Semantic Segmentation and Edge Detection for Waterline Extraction, In Proceedings of the 6th Asian Conference on Pattern Recognition. Jeju Island, South Korea, accepted, 2021.
  6. Bolin Ni, Gaofeng Meng, Shiming Xiang and Chunhong Pan. NASformer: Neural Architecture Search for Vision Transformer, Asian Conference of Pattern Recognition, 2021.
  7. Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu, Cross-lingual text image recognition via multi-task sequence to sequence learning, International Conference on Pattern Recognition (ICPR 2020), Milan, Italy (online), January 10-15, pp.3122-3129, 2021.
  8. Meng-Biao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Mutually guided dual-task network for scene text detection, International Conference on Pattern Recognition (ICPR 2020), Milan, Italy (online), January 10-15, pp. 6928-6934, 2021.
  9. Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, F-mixup: attack CNNs from Fourier perspective, International Conference on Pattern Recognition (ICPR 2020), Milan, Italy (online), January 10-15, pp.541-548. 2021
  10. Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu: Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition, the 35th AAAI cofference on Artificial Intelligence (AAAI 2021), online, pp. 2925-2933, 2021
  11. Hao-Ru Tan, Chuang Wang, Si-Tong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu, Proxy Graph Matching with Proximal Matching Networks, the 35th AAAI cofference on Artificial Intelligence (AAAI 2021), online, pp. 9808-9815, 2021
  12. Ying Liu, Heng Zhang, Xiaolong Yun, Junyu Ye, Cheng-Lin Liu, Table Detection and Cell Segmentation in Online Handwritten Documents with Graph Attention Networks, ACM MM Asia 2020, Singapore, Singapore (online), March 7-9, pp.1-6, 2021
  13. Wei Feng, Fei Yin, Xu-Yao Zhang and Cheng-Lin Liu, Semantic-Aware Video Text Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), USA(online), June 19-25, pp. 1695-1705, 2021
  14. Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu, Prototype Augmentation and Self-Supervision for Incremental Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), USA(online), June 19-25, pp. 5871-5880, 2021
  15. Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu, Calibration for Non-exemplar based Class-incremental Learning, IEEE International Conference on Multimedia and Expo (ICME 2021), online, July 5-9, 2021
  16. Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Class Forge: Boosting Feature Encoder for Few-shot Learning with Synthesized Classes, IEEE International Conference on Multimedia and Expo (ICME 2021), online, July 5-9, 2021
  17. Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu, GSS: Graph-based Subspace Learning with Shots Initialization for Few-shot Recognition, IEEE International Conference on Multimedia and Expo (ICME 2021), online, July 5-9, 2021
  18. Tie-Qiang Wang, Cheng-Lin Liu, Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search, IEEE International Conference on Multimedia and Expo (ICME 2021), online, July 5-9, 2021
  19. Likun Gao, Heng Zhang, Cheng-Lin Liu, Regularizing CTC in expectation-maximization framework with application to handwritten text recognition, International Joint Conference on Neural Networks (IJCNN 2021) (online), July 18-22, pp.1-7, 2021
  20. Xiao-Hui Li, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Adaptive Scaling for Archival Table Structure Recognition, International Conference on Document Analysis and Recognition (ICDAR 2021), Lausanne, Switzerland (online), September 5-10, pp.80-95, 2021
  21. Shi Yan, Jin-Wen Wu, Fei Yin, Cheng-Lin Liu, Recognizing Handwritten Chinese Texts with Insertion and Swapping Using A Structural Attention Network, International Conference on Document Analysis and Recognition (ICDAR 2021), Lausanne, Switzerland (online), September 5-10, pp. 557-571, 2021
  22. Likun Gao, Heng Zhang, Cheng-Lin Liu, Handwritten text recognition with convolutional prototype network and most aligned frame based CTC training, International Conference on Document Analysis and Recognition (ICDAR 2021), Lausanne, Switzerland (online), September 5-10, pp.205-220, 2021
  23. Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Document dewarping with control points, International Conference on Document Analysis and Recognition (ICDAR 2021), Lausanne, Switzerland (online), September 5-10, pp.466-480, 2021
  24. Deli Yu, Peipei Yang, Cheng-Lin Liu. Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compressoin. IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR 2021), Tokyo (online), September 8-10, pp. 42-48, 2021
  25. Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu. Learning to Understand Traffic Signs. In Proceedings of the 29th ACM International Conference on Multimedia, Chengdu, China, October 20-24, pp. 2076-2084, 2021
  26. Yuting Yang, Yanming Zhang, Xiaolong Yun, Fei Yin, Cheng-Lin Liu, CASIA-onDo: A New Database for Online Handwritten Document Analysis, Asian Conference on Patter Recognition (ACPR 2021), Jeju Island, South Korea (online), November 9-12, 2021
  27. Zhan Zhang, Yun-Tian Wang, Bang Li, An Guo, Cheng-Lin Liu, Deep Rejoining model for oracle bone fragment images, Asian Conference on Patter Recognition (ACPR 2021), Jeju Island, Korea (online), November 9-12, 2021
  28. Ayan Banerjee, Shivakumara Palaiahnakote, Soumyajit Pal, Umapada Pal, Cheng-Lin Liu, DCT-DFT-FFT based method for text detection in underwater images, Asian Conference on Patter Recognition (ACPR 2021), Jeju Island, Korea (online), November 9-12, 2021
  29. Jiaman Tang, Jinwen Wu, Fei Yin, Linlin Huang, Offline handwritten mathematical expression recognition via graph reasoning network, Asian Conference on Patter Recognition (ACPR 2021), Jeju Island, Korea (online), November 9-12, 2021
  30. Fei Zhu, Zhen Cheng, Cheng-Lin Liu, Class-Incremental Learning via Dual Augmentation, NeurIPS 2021, Sydney, Australia (online), December 6-14, 2021
  31. Yongyu Xiong, Peipei Yang, Cheng-Lin Liu, One-Stage Open Set Object Detection with Prototype Learning, the International Conference on Neural Information Processing (ICONIP 2021), BALI, Indonesia (online), December 8-12, pp. 279-291, 2021
  32. Jiangpeng Wan, Mengbiao Zhao, Fei Yin, Xu-Yao Zhang and LinLin Huang, “End-to-End Detection and Recognition of Arithmetic Expressions,” Proc. Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2021), Guangdong, China. December 19-21, vol.13019, pp.505-517, 2021
  33. Zhu H, Yu S. Intra-Class Uncertainty Loss Function for Classification. In 2021 IEEE International Conference on Multimedia and Expo (ICME) 2021 Jul 5, pp. 1-6
  34. Cui B, Hu G, Yu S. DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning. In Proceedings of the AAAI Conference on Artificial Intelligence 2021 May 18, Vol. 35, No. 2, pp. 1175-1183
  35. Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao, Knowledge Guided Metric Learning for Few-Shot Text Classification, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021),3266—3271, Mexico(online),6.6-6.11, 2021
  36. Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao and Kang Liu, Alignment Rationale for Natural Language Inference, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),5372–5387, Thailand(online), 8.1-.8.6, 2021
  37. Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen and Weihua Peng, Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks ,The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),4862–4872,Thailand(online), 8.1-.8.6, 2021
  38. Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen, LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),3558–3571, Thailand(online), 8.1-.8.6, 2021
  39. Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen, Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),2162–2172, Thailand(online), 8.1-.8.6, 2021
  40. Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu and Jun Zhao, Document-level Event Extraction via Parallel Prediction Networks , The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),6298–6308, Thailand(online), 8.1-.8.6, 2021
  41. Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao, A Large-Scale Chinese Multimodal NER Dataset with Speech Clues, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),2807–2818, Thailand(online), 8.1-.8.6, 2021
  42. Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie and Weijian Sun, Named Entity Recognition via Noise Aware Training Mechanism with Data Filter, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)-finding,4791–4803, Thailand(online), 8.1-.8.6, 2021
  43. Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue and Jun Zhao, CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)-demo,92–98, Thailand(online), 8.1-.8.6, 2021
  44. Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong and Shengping Liu , Automatic ICD Coding via Interactive Shared Representation Networks with Self-Distillation Mechanism, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021),5948–5957, Thailand(online), 8.1-.8.6, 2021
  45. Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li, What the role is vs. What plays the role: Semi-supervised Event Argument Extraction via Dual Question Answering, Thirty-Third Conference on Innovative Applications of Artificial Intelligence (AAAI 2021),14638-14646, Canada(online), 2.2-2021.2, 2021
  46. Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao, CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge, Thirty-Third Conference on Innovative Applications of Artificial Intelligence (AAAI 2021) Demonstration Program16114-16116, Canada(online), 2.2-2021.2, 2021
  47. Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao and Wei Bi, Set Generation Networks for End-to-End Knowledge Base Population, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021),9650–9660, Republica Dominica(online), 11.7-11.11, 2021
  48. Dianbo Sui, Yubo Chen, Kang Liu and Jun Zhao  Distantly Supervised Relation Extraction in Federated Settings, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) Findings,569-583, Republica Dominica(online), 11.7-11.11, 2021
  49. Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li and Jun Zhao, Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021),3641–3652, Republica Dominica(online), 11.7-11.11, 2021
  50. Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu and Jun Zhao, Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021),2636–2645, Republica Dominica(online), 11.7-11.11, 2021
  51. Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu, Biomedical Concept Normalization by Leveraging Hypernyms, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021),3512–3517, Republica Dominica(online), 11.7-11.11, 2021
  52. Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao, Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks, The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021),2301-2311, Republica Dominica(online), 11.7-11.11, 2021
  53. Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wang, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi  CroAno: A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset     , The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 275-282, Republica Dominica(online), 11.7-11.11, 2021
  54. Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao and Wei Bi , Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction, In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2900-2904, Australia(online), 11.1-11.5, 2021
  55. Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang , Multi-Sentence Argument Linking via an Event-Aware Hierarchical Encoder, In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021),3578–3582, Australia(online), 11.1-11.5, 2021
  56. Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li, Multi-Task Self-Supervised Learning for Script Event Prediction, In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021),3662-3666, Australia(online), 11.1-11.5, 2021
  57. Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang: MST: Masked Self-Supervised Transformer for Visual Representation. NeurIPS 2021
  58. Tianyi Yan, Haiyun Guo, Songyan Liu, Chaoyang Zhao, Ming Tang, Jinqiao Wang: Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-Similarity Clustering. ICPR Workshops 2021: 20-35
  59. Zejian Liu, Gang Li, Jian Cheng: Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. DATE 2021: 513-516
  60. Huaibo Huang, Aijing Yu, Ran He, “Memory Oriented Transfer Learning for Semi-Supervised Image Deraining,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7732-7741, June 2021, Nashville, United States
  61. Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He, “Pareidolia Face Reenactment,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2236-2245, June 2021, Nashville, United States.
  62. Gege Gao, Huaibo Huang, Chaoyou Fu, ZhaoYang Li, Ran He, “Information Bottleneck Disentanglement for Identity Swapping,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3404-3413, June 2021, Nashville, United States
  63. Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, and Ran He, “FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5089-5098, June 2021, Nashville, United States
  64. Zhengxiong Luo, Zhicheng Wang, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, and Erjin Zhou, “Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13264-13273, June 2021, Nashville, United States
  65. Yuhao Zhu, Qi Li, Jian Wang, Chengzhong Xu, Zhenan Sun, “One Shot Face Swapping on Megapixels,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 4834-4844, June 2021, Nashville, United States
  66. Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, and Zhenan Sun, “ReMix: Towards Image-to-Image Translation with Limited Data,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 15018-15027, June 2021, Nashville, United States
  67. Dongze Li, Wei Wang, Hongxing Fan, Jing Dong, “Exploring Adversarial Fake Images on Face Manifold,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5789-5798, June 2021, Nashville, United States
  68. Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan, “Locate then Segment: A Strong Pipeline for Referring Image Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9858-9867, June 2021, Nashville, United States
  69. Tianxiang Ma, Bo Peng, Wei Wang, Jing Dong, “MUST-GAN: Multi-level Statistics Transfer for Self-Driven Person Image Generation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13617-13626, June 2021, Nashville, United States
  70. Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang, “Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5299-5309, June 2021, Nashville, United States
  71. Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang*, “GAIA: A Transfer Learning System of Object Detection that Fits Your Needs,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 274-283, June 2021, Nashville, United States
  72. Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Zhaoxiang Zhang, Xin Liu, “Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1024-1033, June 2021, Nashville, United States
  73. Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu, RefineMask, “Towards High-Quality Instance Segmentation with Fine-Grained Features,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 6861-6869, June 2021, Nashville, United States
  74. Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu, “Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13926-13935, June 2021, Nashville, United States
  75. Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang, “Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 14676-14686, June 2021, Nashville, United States
  76. Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu, “Unsupervised Object Detection with LIDAR Clues,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5962-5972, June 2021, Nashville, United States
  77. Zongcai Sun, Chaoyou Fu, Mandi Luo, Ran He, “Self-Augmented Heterogeneous Face Recognition,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  78. Yuting Xu, Gengyun Jia, Huaibo Huang, Junxian Duan, Ran He, “Visual-semantic Transformer for Face Forgery Detection,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  79. Jianze Wei, Ran He, Zhenan Sun, “Contrastive Uncertainty Learning for Iris Recognition with Insufficient Labeled Samples,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  80. Yiwei Ru, Wanting Zhou, Yunfan Liu, Jianxin Sun, Qi Li, “Bita-Net: Bi-temporal Attention Network for Facial Video Forgery Detection,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  81. Qi Li, Xiaoxiao Dong, Weining Wang, Caifeng Shan, “CAS-AIR-3D Face: A Low-Quality, Multi-Modal and Multi-Pose 3D Face Database,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  82. Xingqun Qi, Muyi Sun, Weining Wang, Xiaoxiao Dong, Qi Li, Caifeng Shan, “Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  83. Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun et al, “DFGC 2021: A DeepFake Game Competition,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  84. Yu Tian, Kunbo Zhang, Leyuan Wang, and Chong Zhang, “Avoiding Spectacles Reflections on Iris Images Using a Ray-tracing Method,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  85. Caiyong Wang, Yunlong Wang, Kunbo Zhang, Jawad Muhammad, Tianhao Lu, Qi Zhang, Qichuan Tian et al, “NIR iris challenge evaluation in non-cooperative environments: Segmentation and localization,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  86. Leyuan Wang, Kunbo Zhang, Yunlong Wang, and Zhenan Sun, “An End-to-End Autofocus Camera for Iris on the Move,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  87. Junxing Hu, Leyuan Wang, Zhengquan Luo, Yunlong Wang, Zhenan Sun, “A Large-scale Database for Less Cooperative Iris Recognition,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China
  88. Shiqi Yu, Yongzhen Huang, Liang Wang et al, “Hid 2021: Competition on human identification at a distance 2021,” Proc. International Joint Conference on Biometrics, August 2021, Shenzhen, China

人工智能Artificial Intelligence

  1. Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu: Arbitrary Video Style Transfer via Multi-Channel Correlation. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021: 1210-1217
  2. Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu: Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. AAAI 2021: 2440-2448
  3. Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu: Consistent-Separable Feature Representation for Semantic Segmentation. AAAI 2021: 1531-1539
  4. Hongjian Fang, Yi Zeng. A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. Proc.  International Joint Conference on Neural Networks (IJCNN), pp. 1-5, July 2021, Shenzhen, China
  5. Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan, “Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images,” Proc. International Joint Conference on Artificial Intelligence, pp. 2271-2277, August 2021
  6. ufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang, “A Graph-based Relevance Matching Model for Ad-hoc Retrieval,” Proc. AAAI Conference on Artificial Intelligence, pp. 4688-4696, February 2021
  7. Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu, “Cold-start Sequential Recommendation via Meta Learner,” Proc. AAAI Conference on Artificial Intelligence, pp. 4706-4713, February 2021
  8. Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang, “CMF: Cascaded Multi-model Fusion for Referring Image Segmentation,” Proc. IEEE International Conference on Image Processing, pp. 2289-2293, September 2021

机器学习Machine learning

  1. LARNet: Lie Algebra Residual Network for Face Recognition, Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, Wei Liu, Proceedings of the 34th International Conference on Machine Learning (ICML) 2021
  2. Yunlong Wang, Kunbo Zhang, and Zhenan Sun. "A Novel Deep-learning Pipeline for Light Field Image Based Material Recognition." International Conference on Pattern Recognition (ICPR), pp. 2422-2429. IEEE, 2021
  3. Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, and Ran He., “P2Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation,” International Conference on Pattern Recognition (ICPR), 2021, pp. 9658–9665
  4. Haoxue Wu, Huaibo Huang, Aijing Yu, Jie Cao, Zhen Lei, and Ran He, “Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement,” International Conference on Pattern Recognition (ICPR), 2021, pp. 4206–4212
  5. Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, and Liang Wang, “Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision,” Proc. Conference on Neural Information Processing Systems, December 2021
  6. Yanqiao Zhu, Yichen Xu, Qiang Liu and Shu Wu, “An Empirical Study of Graph Contrastive Learning,” Proc. Conference on Neural Information Processing Systems, December 2021
  7. Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He, “Graph Information Bottleneck for Subgraph Recognition,” Proc. International Conference on Learning Representations, May 2021, Austria

神经网络Neural Network

  1. Zekun Li, Yufan Liu, Bing Li, Weiming Hu, Xue Zhou, “Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection,” IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2021

数据挖掘Data Mining

  1. Yingtao Luo, Qiang Liu and Zhaocheng Liu. "STAN: Spatio-Temporal Attention Network for Next Point-of-Interest Recommendation." The Web Conference, 2021
  2. Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu and Liang Wang, “Graph Contrastive Learning with Adaptive Augmentation,” Proc. the Web Conference, pp. 2069–2080, April 2021, Ljubljana, Slovenia
  3. Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang, “Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval,” Proc. the Web Conference, pp. 778–787, April 2021, Ljubljana, Slovenia

计算机图形学Computer Graphics

  1. Le Ma, Sen Lian, Shangdong Wang, Weiliang Meng, Jun Xiao, Xiaopeng Zhang. A practical framework of multi-person 3D human pose estimation with a single RGB camera. 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (IEEE VR 2021) Poster. Virtual, March 27-April 2, 2021
  2. Zhonghuan Li, Le Ma，Teng Wang，Chengcheng Ma，Weiliang Meng，Xiaopeng Zhang. Intelligent annotation for image sequences and videos. 2021 IEEE International Conference on Virtual Reality and Visualization (ICVRV) NanChang, China.October 17-20, 2021
  3. SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement, Youxin Pang, Mengke Yuan, Yuchun Chang, Dong-Ming Yan, Pacific Graphics Posters, 2021
  4. Key-Point Interpolation: A Sparse Data Interpolation Algorithm based on B-splines, Bolun Wang, Xin Jiang, Guanying Huo, Cheng Su, Dong-Ming Yan and Zhiming Zheng, 4th International Conference on Applied Mathematics, Modeling and Simulation (AMMS) 2021

多媒体计算Multimedia Computing

  1. Chengcheng Ma, Weiliang Meng，Baoyuan Wu，Shibiao Xu, Xiaopeng Zhang. Towards Effective Adversarial Attack on Point Cloud for 3D Classification. IEEE International Conference on Multimedia and Expo (ICME) 2021. Virtual. July 5-9, 2021 2021
  2. Zekun Li, Yufan Liu, Bing Li, Weiming Hu, “DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection,” IEEE International Conference on Multimedia and Expo (ICME), pp.1-6, 2021.
  3. Gao, Junyu, and Changsheng Xu. "Fast Video Moment Retrieval." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021.
  4. Ma, Xinhong, Junyu Gao, and Changsheng Xu. "Active Universal Domain Adaptation." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021.
  5. Wang, Wei, Junyu Gao, and Changsheng Xu. "Weakly-Supervised Video Object Grounding via Stable Context Learning." Proceedings of the 29th ACM International Conference on Multimedia. 2021.
  6. Tong Wang, Yousong Zhu, Chaoyang Zhao, Xu Zhao, Jinqiao Wang, Ming Tang: Attention-Guided Knowledge Distillation for Efficient Single-Stage Detector. ICME 2021: 1-6
  7. Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang: Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation. ACM Multimedia 2021: 1976-1984
  8. Zhiyang Chen, Yousong Zhu, Chaoyang Zhao, Guosheng Hu, Wei Zeng, Jinqiao Wang, Ming Tang: DPT: Deformable Patch-based Transformer for Visual Recognition. ACM Multimedia 2021: 2899-2907
  9. Sihan Chen, Xinxin Zhu, Dongze Hao, Wei Liu, Jiawei Liu, Zijia Zhao, Longteng Guo, Jing Liu: MM21 Pre-training for Video Understanding Challenge: Video Captioning with Pretraining Techniques. ACM Multimedia 2021: 4853-4857
  10. Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guanan Wang, Liang Wang, Yan Huang, ErJin Zhou, Tieniu Tan, Jian Sun, “Efficient Human Pose Estimation by Learning Deeply Aggregated Representations,” Proc. IEEE International Conference on Multimedia and Expo, July 2021.
  11. Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang and Liang Wang, “Mining Latent Structures for Multimedia Recommendation,” Proc. ACM International Conference on Multimedia, pp. 3872–3880, October 2021, Chengdu, China.
  12. Dong An, Yuankai Qi, Yan Huang*, Qi Wu, Liang Wang, and Tieniu Tan, “Neighbor-view Enhanced Model for Vision and Language Navigation,” Proc. ACM International Conference on Multimedia, pp. 5101-5109, October 2021, Chengdu, China.
  13. Wei Zhang, Lingxiao He, Peng Chen, Xingyu Liao, Wu Liu, Qi Li, Zhenan Sun, “Boosting End-to-End Multi-object Tracking and Person Search via Knowledge Distillation,” Proc. ACM International Conference on Multimedia, pp. 1192-1201, October 2021, Chengdu, China.
  14. Jianxin Sun, Qi Li, Weining Wang, Jian Zhao, Zhenan Sun, “Multi-caption Text-to-Face Synthesis: Dataset and Algorithm,” Proc. ACM International Conference on Multimedia, pp. 2290-2298, October 2021, Chengdu, China.

信号处理Signal Processing

  1. Xiyan Liu, Gaofeng Meng, Shiming Xiang and Chunhong Pan, Handwritten Text Generation via Disentangled Representations, IEEE Signal Processing Letters, vol. 28, pp. 1838-1842, 2021
  2. Binjie Mao, Lingfeng Wang, Shiming Xiang, Chunhong Pan, Ltaf-Net: Learning Task-Aware Adaptive Features and Refining Mask for Few-Shot Semantic Segmentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

遥感Remote Sensing

  1. Xin Zhang, Chunlei Huo, Nuo Xu, Hangzhi Jiang, Yong Cao, Lei Ni and Chunhong Pan, Multitask Learning for Ship Detection from Synthetic Aperture Radar Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 14, pp 8048-8062.

图象/视频处理与分析Image/Video Processing and Analysis

  1. Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma: ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. CVPR 2021: 6596-6605
  2. Yi Huang, Xiaoshan Yang, Changsheng Xu: Multimodal Global Relation Knowledge Distillation for Egocentric Action Anticipation. ACM Multimedia 2021: 245-254
  3. Fan Qi, Xiaoshan Yang, Changsheng Xu: Zero-shot Video Emotion Recognition via Multimodal Protagonist-aware Transformer Network. ACM Multimedia 2021: 1074-1083
  4. Jinxing Pan, Xiaoshan Yang, Yi Huang, Changsheng Xu. Few-shot Egocentric Multimodal Activity Recognition, ACM MM Asia 2021
  5. Zhaoquan Yuan, Xiao Peng, Xiao Wu, Changsheng Xu: Hierarchical Multi-Task Learning for Diagram Question Answering with Multi-Modal Transformer. ACM Multimedia 2021: 1313-1321
  6. Xi Zhang, Feifei Zhang, Changsheng Xu: Multi-Level Counterfactual Contrast for Visual Commonsense Reasoning. ACM Multimedia 2021: 1793-1802
  7. Jun Hu, Shengsheng Qian, Quan Fang, Youze Wang, Quan Zhao, Huaiwen Zhang, Changsheng Xu: Efficient Graph Deep Learning in TensorFlow with tf_geometric. ACM Multimedia 2021: 3775-3778
  8. Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu: Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. SIGIR 2021: 153-162
  9. Yuting Ma, Fan Tang, Weiming Dong, Changsheng Xu: Text Style Transfer with Decorative Elements. MIPR 2021: 330-336
  10. Jie Cao, Shengsheng Qian, Huaiwen Zhang, Quan Fang, Changsheng Xu: Global Relation-Aware Attention Network for Image-Text Retrieval. ICMR 2021: 19-28
  11. Hao Wang, Weining Wang. Jing Liu: Temporal Memory Attention for Video Semantic Segmentation. ICIP 2021 2254-2258
  12. Zhenmeng Zuo, Zhexin Li, Peisong Wang, Weihan Chen, Jian Cheng: Towards Binarized MobileNet via Structured Sparsity. ICIG (1) 2021: 688-699
  13. Hao Wang, Weining Wang. Jing Liu: Temporal Memory Attention for Video Semantic Segmentation. ICIP 2021 2254-2258

医学图象分析Medical Image Analysis

  1. Bohao Chen, Tong Xin, Hua Han, Xi Chen. Performance Analysis in Serial-section Electron Microscopy Image Registration of Neuronal Tissue. SPIE Medical Imaging, pp. 249-257, 2022
  2. Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang. DC-Net: Dual Context Network for 2D Medical Image Segmentation. the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), September 27-October 1, 2021
  3. Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu and Xiaopeng Zhang. Retinal Vessel Segmentation Via Context Guide Attention Net with Joint Hard Sample Mining Strategy. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
  4. Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu, Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2021), Strasbourg, Franch (online), September 27-October 1, pp.185-194, 2021

生物图象分析Biology Image Analysis

  1. Zhong L., Liu G., and Yang G. (2021) Blind denoising of fluorescence microscopy images using GAN-based global noise modeling, 2021 IEEE International Symposium on Biomedical Imaging (ISBI), pp.863-867. (oral presentation)
  2. Guodong Sun, Zejin Wang, Guoqing Li, Hua Han. Robust Frequency-Aware Instance Segmentation for Serial Tissue Sections. Asian Conference on Pattern Recognition. Springer, Cham, 2021
  3. Tong Xin, Bohao Chen, Xi Chen, Hua Han. UTR: Unsupervised Learning of Thickness-Insensitive Representations for Electron Microscope Image. 2021 IEEE International Conference on Image Processing (ICIP). IEEE, pp. 155-159, 2021
  4. Jun Jiang, Bo Wang, Bing Li; Weiming Hu, “Practical Face Swapping Detection based on Identity Spatial Constraints,” IEEE International Joint Conference on Biometrics (IJCB), pp.1-8, 2021
  5. Wang H, Jiang T. Gray Matter Volume Predicts Individual Body Mass Index and Its Development During Adolescence. In 2021 13th International Conference on Bioinformatics and Biomedical Technology 2021 May 21, pp. 203-208
  6. Ma L, Zhong G, Yang Z, Fan L, Jiang T. Multi-scale anatomical awareness improves the accuracy of the real-time electric field estimation. In 2021 International Joint Conference on Neural Networks (IJCNN) 2021 Jul 18, pp. 1-7
  7. Zhao, M., Yan, W., Xu, R., Zhi, D., Jiang, R., Jiang, T., Calhoun, V.D. and Sui, J., 2021, April. An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence and Dynamics for Discriminating Schizophrenia. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), pp. 118-121

语音语言技术Speech and Language Technology

  1. Lu, Yu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu, and Mu Li. Attention Calibration for Transformer in Neural Machine Translation. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJNLP), online, Aug, 2021, pp. 1288–1298
  2. Jinliang Lu and Jiajun Zhang. Exploiting Curriculum Learning in Unsupervised Neural Machine Translation. Findings of the Association for Computational Linguistics (EMNLP), Punta Cana, Dominican Republic, Nov. 7-11, 2021, pp. 924-934
  3. Xin Huang, Jiajun Zhang, Chengqing Zong. Entity-level Cross-modal Learning Improves Multi-modal Machine Translation. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic. Nov. 7-11, 2021, pages 1067–1080
  4. Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models, In Proc. Interspeech 2021, pages 4703-4707
  5. Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, and Chengqing Zong. 2021. CSDS: A fine-grained Chinese dataset for customer service dialogue summarization. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic. Nov. 7-11, 2021, pages 4436–4451
  6. Chunyu Qiang, Jianhua Tao, Ruibo Fu, Zhengqi Wen, Jiangyan Yi, Tao Wang, Shiming Wang. Text Enhancement for Paragraph Processing in End-to-End Code-switching TTS. 2021 12, The International Symposium on Chinese Spoken Language Processing (ISCSLP 2021), Hongkong, China, Jan 24-27, 2021
  7. Licai Sun, Bin Liu, Jianhua Tao, Zheng Lian. Multimodal cross- and self-attention network for speech emotion recognition. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021, pp. 4275-4279
  8. Cong Cai, Mingyue Niu, Bin Liu, Jianhua Tao, Xuefei Liu. TDCA-Net Time-Domain Channel Attention Network for Depression Detection. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021), Brno, Czech, August 30- September 3, 2021, pp. 721-725
  9. Mingyue Niu, Jianhua Tao, Bin Liu. Multi-Scale and Multi-Region Facial Discriminative Representation for Automatic Depression Level Prediction. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021, pp. 1325-1329
  10. Ruibo Fu, Jianhua Tao, Zhengqi Wen, Jiangyan Yi, Tao Wang. Bi-Level Style and Prosody Decoupling Modeling for Personalized End-To-End Speech Synthesis. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021, pp. 6568-6572
  11. Tao Wang, Ruibo Fu, Jiangyan Yi, Jianhua Tao, Zhengqi Wen, Chunyu Qiang, Shiming Wang. Prosody and Voice Factorization for Few-Shot Speaker Adaptation in The Challenge M2voc 2021. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021, pp. 8603-8607
  12. Zhengkun Tian, Jiangyan Yi, Ye Bai, Jianhua Tao, Shuai Zhang, Zhengqi Wen. FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021), Brno, Czech, August 30- September 3, 2021, pp. 2088-2092
  13. Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Ye Bai, Jianhua Tao, Xuefei Liu, Zhengqi Wen. End-to-End Spelling Correction Conditioned on Acoustic Feature for Code-switching Speech Recognition. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021), Brno, Czech, August 30- September 3, 2021, pp. 266-270
  14. Jiangyan Yi, Ye Bai, Jianhua Tao, Haoxin Ma, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu. Half-Truth: A Partially Fake Audio Detection Dataset. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021), Brno, Czech, August 30- September 3, 2021, pp. 2683-2687
  15. Haoxin Ma, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Chenglong Wang. Continual Learning for Fake Audio Detection. 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021), Brno, Czech, August 30- September 3, 2021, pp. 1748-1752
  16. Shuai Zhang, Jiangyan Yi, Zhengkun Tian, Ye Bai, Jianhua Tao, Zhengqi wen. Decoupling Pronunciation and Language for End-To-End Code-Switching Automatic Speech Recognition. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021, pp. 6249-6253
  17. Shuai Zhang, Jiangyan Yi, Zhengkun Tian,  Jianhua Tao，Ye Bai. Rnn-transducer with Language Bias for End-to-end Mandarin-English Code-switching Speech Recognition. International Symposium on Chinese Spoken Language Processing (ISCSLP 2021), Hongkong, China, Jan 24-27, 2021
  18. Shiyue Wang, Zhenhua Ling, Ruibo Fu, Jiangyan Yi, Jianhua Tao, Patnet: A Phoneme-Level Autoregressive Transformer Network for Speech Synthesis. 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021, pp. 5684–5688
  19. Cong Cai，Yu He,Licai Sun,Zheng Lian,Bin Liu,Jianhua Tao,Mingyu Xu,Kexin Wang. Multimodal Sentiment Analysis based on Recurrent Neural Network and Multimodal Attention. The 2nd Multimodal Sentiment Analysis Challenge (MuSe ’21), Chengdu, China, October 20, 2021, pp. 61-67
  20. Licai Sun, Mingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao, Meng Wang, Yuan Cheng. Multimodal Emotion Recognition and Sentiment Analysis via Attention Enhanced Recurrent Model. The 2nd Multimodal Sentiment Analysis Challenge (MuSe ’21), Chengdu, China, October 20, 2021, pp. 15-20
  21. Zhengkun Tian, Jiangyan Yi, Ye Bai, Jianhua Tao, Shuai Zhang, Zhengqi Wen. One in A Hundred: Selecting the Best Predicted Sequence from Numerous Candidates for Speech Recognition. 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA 2021), Tokyo, Japan, Dec 14-17, 2021, pp. 454-459
  22. XuefeiLiu, Jianhua Tao, Yurong Han, Chenglong Wang, Xueying Zheng, Zhengqi Wen. Which Phonemes Will Distinguish the Different Regions Within the Same Dialect? the International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (Ococosda 2021), Singapore, Nov 18-20, 2021
  23. Cunhang Fan, Bin Liu, Jianhua Tao, Jiangyan Yi, Zhengqi Wen, Leichao Song. Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning. International Symposium on Chinese Spoken Language Processing (ISCSLP 2021), Hongkong, China, Jan 24-27, 2021
  24. Hao Zhang, Bin Liu, Jianhua Tao, Zhao Lv. Facial Micro-Expression Recognition Based on Multi-Scale Temporal and Spatial Features. The 6th International Workshop on Affective Social Multimedia Computing (ASMMC 2021), Montreal, Canada, October 18-22, 2021
  25. Chenglong Wang, Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian. Hierarchically Attending Time-Frequency and Channel Features for Improving Speaker Verification. International Symposium on Chinese Spoken Language Processing (ISCSLP 2021), Hongkong, China, Jan 24-27, 2021

国内会议National Conferences

  1. Lu Xiang, Yang Zhao, Junnan Zhu, Yu Zhou, and Chengqing Zong. Zero-Shot Deployment for Cross-Lingual Dialogue System. In Proceedings of the 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2021), Qingdao, China, October 13-17, 2021.
  2. Tingting Liao*, Xiangyu Zhu*, et al. 3D Context-Aware PIFu for Clothed Human Reconstruction, Chinese Conference on Biometrics Recognition (CCBR), 2021.
  3. Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao.Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain, The Twentieth China National Conference on Computational Linguistics (CCL 2021), Hohhot, China, Dec.03,2021, pp.988-999
  4. Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao and Yongbin Zhou.Multi-Strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension, The Twentieth China National Conference on Computational Linguistics (CCL 2021) , Hohhot, China, Dec. 03,2021, pp.1024-1036
  5. Xiusheng Huang, Yubo Chen, Kang Liu, Yuantao Xie, Weijian Sun and Jun Zhao.NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning, China Conference on Knowledge Graph and Semantic Computing (CCKS 2021), Guangzhou, China, Dec.25,2021, pp.157-170
  6. Fei Xia, Shizhu He, Kang Liu, Shengping Liu and Jun Zhao.Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances, China Conference on Knowledge Graph and Semantic Computing (CCKS 2021), Guangzhou, China, Dec.25,2021,198-210
  7. 徐遥, 何世柱, 刘康, 张弛, 焦飞, 赵军.基于Beta分布和半监督学习的非确定性知识图谱嵌入模型, 中国知识图谱与语义计算会议(CCKS 2021) ,中国广州, 2021年12月25日
  8. Zhen Gan, Zhucong Li, Baoli Zhang, Jing Wan, Yubo Chen, Kang Liu, Jun Zhao, Yafei Shi and Shengping Liu.Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER, The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2021), Qingdao, China, Oct.13,2021, pp. 338-349
  9. 柳雪飞，娜日格乐，陶建华，温正棋，郑雪英. 一个面向语种识别的方言语料库. 第十六届全国人机语音通讯学术会议（NCMMSC 2021）. 中国徐州，2021年10月15日
  10. Zheng Lian, Bin Liu, Jianhua Tao. Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition. National Conference on Man-Machine Speech Communication (NCMMSC) 2021, Xuzhou, China, October 15, 2021
  11. Jianhua Yang, Yan Huang, Linjiang Huang, Yunbo Wang, Zhanyu Ma, Liang Wang, “Global Context Enhanced Multi-modal Fusion for Referring Image Segmentation,” Proc. Chinese Conference on Pattern Recognition and Computer Vision, pp. 434-446, October 2020, Nanjing, China.
  12. Zhengquan Luo, Haiqing Li, Yunlong Wang, Zilei Wang, Zhenan Sun, “Iris Normalization Beyond Appr-Circular Parameter Estimation,” Proc. Chinese Conference on Biometric Recognition, pp. 316-324, September 2021, Shanghai, China.
  13. Songlin Yang, Wei Wang, Yuehua Cheng, Jing Dong, “A Systematical Solution for Face De-identification,” Proc. Chinese Conference on Biometric Recognition, pp. 20-30, September 2021, Shanghai, China.
  14. Wenmei Xu, Hongyuan Yu, Wei Wang, Chenglong Li, Liang Wang, “Joint Learning Appearance and Motion Models for Visual Tracking,” Proc. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 416-428, December 2021, Zhuhai China.
  15. Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hanqing Lu: High-Performance Discriminative Tracking with Target-Aware Feature Embeddings. PRCV (1) 2021: 3-15

开放课题客座发表论文Publications of External Projects

国际刊物International Journals

  1. Zhong Zhang, Haijia Zhang, Shuang Liu*, Yuan Xie, Tariq S. Durrani, “Part-Guided Graph Convolution Networks for Person Re-identification,” Pattern Recognition (PR), vol. 120, 108155, 2021;
  2. Wenmin Huang, Shuang Liu*, Ruiling Luo, Tongzhen Si, Zhong Zhang, “Dynamically Occluded Samples via Adversarial Learning for Person Re-identification in Sensor Networks,” Ad Hoc Networks, vol. 110, 1012316, January 2021；
  3. Qing Tian, Chuang Ma, Feng-Yuan Zhang, Shun Peng, Hui Xue, Source-Free Unsupervised Domain Adaptation with Sample Transport Learning, Journal of Computer Science and Technology, 2021, 36(3): 606-616.
  4. Qing TIAN, Heyang SUN, Shun PENG, Tinghuai MA, Self-Adaptive Label Filtering Learning for Unsupervised Domain Adaptation, Frontiers of Computer Science, doi.org/10.1007/s11704-022-1283-6.
  5. Sichao Fu, Weifeng Liu*, Kai Zhang, Yicong Zhou and Dapeng Tao, Semi-supervised Classification by Graph p-Laplacian Convolutional Networks. Information Sciences, vol. 560, pp. 92-106, 2021
  6. Sichao Fu, Weifeng Liu*, Kai Zhang and Yicong Zhou, Example-Feature Graph Convolutional Networks for Semi-Supervised Classification. Neurocomputing, vol. 461, pp. 63-76, 2021
  7. Weifeng Liu*, Sichao Fu, Yicong Zhou, Zheng-Jun Zha and Liqiang Nie, Human Activity Recognition by Manifold Regularization Based Dynamic Graph Convolutional Networks. Neurocomputing, vol. 444, pp. 217-225, 2021
  8. Weifeng Liu*, Jinfeng Li, Baodi Liu, Weili Guan, Yicong Zhou and Changsheng Xu, Unified Cross-domain Classification via Geometrical and Statistical Adaptations. Pattern Recognition, vol. 110, pp. 107658, 2021
  9. Changtong Zan, Baodi Liu, Weili Guan, Kai Zhang and Weifeng Liu*. Learn from Object Counting: Crowd Counting with Meta‐learning[J]. IET Image Processing, vol. 15, pp. 3543-3550, 2021
  10. Sichao Fu, Weifeng Liu*, Weili Guan, Yicong Zhou, Dapeng Tao and Changsheng Xu, Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification. ACM Transactions on Multimedia Computing Communications and Applications, vol. 17, pp. 1-13, 2021
  11. Xinghao Yang, Weifeng Liu, Shengli Zhang*, Wei Liu* and Dacheng Tao, Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet of Things, vol. 8, no. 6, pp. 4980-4990, March 2021
  12. Xiang Gao, Lingjie Zhu, Hainan Cui, Zhanyi Hu, Hongmin Liu, Shuhan Shen, Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot, IEEE Sensors Journal, vol. 21, no. 10, pp. 11858-11869, 2021.
  13. Xiang Gao, Lingjie Zhu, Zexiao Xie, Hongming Liu, Shuhan Shen, Incremental Rotation Averaging, International Journal of Computer Vision, vol. 129, pp. 1202-1216, 2021
  14. Qinqin Zhou, Bineng Zhong*, Xin Liu, Rongrong Ji*. Attention-based Neural Architecture Search for Person Re- identification. IEEE Transactions on Neural Networks and Learning Systems, 2021, pp.1-13, 2021
  15. Wenfei Yang, Tianzhu Zhang, Zhendong Mao, Yongdong Zhang, Qi Tian and Feng Wu. Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection[J]. IEEE Transactions on Image Processing(TIP), 2021, 30: 5848-5861
  16. Jianfeng He, Tianzhu Zhang, Yuhui Zheng, Mingliang Xu, Yongdong Zhang and Feng Wu. Consistency Graph Modeling for Semantic Correspondence[J]. IEEE Transactions on Image Processing(TIP), 2021, 30: 4932-4946
  17. Wenfei Yang, Tianzhu Zhang, Yongdong Zhang and Feng Wu. Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding [J]. IEEE Transactions on Image Processing(TIP), 2021, 30: 3252-3262
  18. Xu, Di, Zhen Li, and Qi Cao. "Object-based illumination transferring and rendering for applications of mixed reality." The Visual Computer (2021): 1-15.
  19. Sun W, Lv Z, Wu M, et al, A Comparative Experimental Study Between Instantaneous and Convolutional BSS Models for Saccadic EOG Signal Separation, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021.
  20. Dianqing Liu, Lanqiu Zhang, Yanqiu Shao, Junzhao Sun, Leverage External Knowledge and Self-attention for Chinese Semantic Dependency Graph Parsing, Intelligent Automation & Soft Computing, vol. 28, no.2, pp. 447–458, 2021. 
  21. Yang X, Qi S, Wang M, Calhoun VD, Sui J, Li T, Ma X. Subtypes of depression characterized by different cognitive decline and brain activity alterations. Journal of psychiatric research. 2021; 138:413-9.
  22. Wei Gao*, Linjie Zhou, and Lvfang Tao, “A Fast View Synthesis Implementation Method for Light Field Applications,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 17, no. 134, pp. 1-20, November 2021.
  23. Wei Gao, Qiuping Jiang, Ronggang Wang, Siwei Ma, Ge Li, and Sam Kwong, "Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding," IEEE Transactions on Industrial Informatics (TII), 2021.
  24. Jianwei Li, Qingyue Hu, Tianxiao Guo, Siqi Wang, Yanfei Shen. What and How Well You Exercised? An Efficient Analysis Framework for Fitness Actions. Journal of Visual Communication and Image Representation. 2021. https://doi.org/10.1016/j.jvcir.2021.103304
  25. Andong Lu, Chenglong Li, Yuqing Yan, Jin Tang, Bin Luo, RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss, IEEE Transactions on Image Processing, vol. 30, pp5613 - 5625, 2021
  26. Yu Song, Fan Tang, Weiming Dong, Feiyue Huang, Tong-Yee Lee, Changsheng Xu, Balance-Aware Grid Collage for Small Image Collections, IEEE Transactions on Visualization and Computer Graphics, 2021.
  27. Guojun Fan, Zhibin Pan, Quan Zhou, Xinyi Gao, Xiaoran Zhang, Multiple histogram based adaptive pairwise prediction-error modification for efficient reversible image watermarking, Information Sciences, vol. 581, pp. 515-535, 2021
  28. Guojun Fan, Zhibin Pan, Quan Zhou, Xinyi Gao, Xiaoran Zhang, A comparative study between PVO-based framework and multi-predictor mechanism in reversible data hiding, Journal of Visual Communication and Image Representation, vol. 81, 103349. 2021

国内刊物National Journals

  1. Siyuan Cheng, Binfei Chu, Bineng Zhong*, Zikai Zhang, Xin Liu, Zhenjun Tang, Xianxian Li*. DRNet: Towards Fast, Accurate and Practical Dish Recognition. Science China Technological Sciences, 2021, 64, https://doi.org/10.1007/s11431-021-1903-4 (中国科学英文版)
  2. 佘文祥,刘斌,陶建华,张昊,吕钊.多通道运动特征融合的微表情识别方法[J].计算机辅助设计与图形学学报,2021,33(09):1457-1465

国际会议International Conferences

  1. Shuang Liu, Wenmin Huang and Zhong Zhang*. “Learning Hybrid Relationships for Person Re-identification,” AAAI Conference on Artificial Intelligence (AAAI) (2021), pp. 2172-2179, 2-9 February, 2021, Vancouver, British Columbia, Canada (A Virtual Conference);
  2. Zhong Zhang, Haijia Zhang and Shuang Liu*, “Person Re-identification using Heterogeneous Local Graph Attention Networks,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 12136-12145, 2021. 19-25 June, 2021. (A Virtual Conference)
  3. Xinghao Yang*, Weifeng Liu, James Bailey, Dacheng Tao and Wei Liu, Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 1, pp. 706-714, May 2021. Vancouver, Canada.
  4. Xuyang Peng, Weifeng Liu*, Baodi Liu, Kai Zhang, Xiaoping Lu and Yicong Zhou, Leveraging GANs via Non-local Features. International Conference on Artificial Neural Networks (ICANN 2021), vol. 12892, pp. 551-562, September 2021. The Hague, Netherlands.
  5. Siyuan Cheng, Bineng Zhong*, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li*, Jing Wang. Learning to Filter: Siamese Relation Network for Robust Tracking. 2021 IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR) (2021), pp:4421:4431, 2021, Virtual
  6. Zikai Zhang, Bineng Zhong*, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang. Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. 2021 IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR) (2021), pp:1024:1033, 2021, Virtual
  7. Jiamin Wu, Tianzhu Zhang, Yongdong Zhang, Feng Wu: Task-Aware Part Mining Network for Few-Shot Learning. IEEE International Conference on Computer Vision (ICCV), 8433-8442, 2021
  8. Meng Meng, Tianzhu Zhang, Qi Tian, Yongdong Zhang, Feng Wu: Foreground Activation Maps for Weakly Supervised Object Localization. IEEE International Conference on Computer Vision (ICCV), 3385-3395, 2021
  9. Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang: Action Unit Memory Network for Weakly Supervised Temporal Action Localization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9969--9979, 2021
  10. Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Tian Qi, Yongdong Zhang, Feng Wu: Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 53-63, 2021
  11. Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang: Lesion-Aware Transformers for Diabetic Retinopathy Grading. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 10938-10947, 2021
  12. Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu: Diverse Part Discovery: Occluded Person Re-Identification with Part-Aware Transformer. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2898-2907, 2021
  13. Hao Zhang, Bin Liu, Jianhua Tao, Zhao Lv. Facial Micro-Expression Recognition Based on Multi-Scale Temporal and Spatial Features[C]. The 6th International Workshop on Affective Social Multimedia Computing 2021 (ASMMC 2021). Montreal, Canada, 18 Oct, 2021
  14. Yuhang Zhao, Yi Li，Yanqiu Shao. Chinese Verb-Object Collocation Knowledge Graph Construction and Application. 7th International Conference on Artificial Intelligence and Security (ICAIS 2021), ISBN 978-3-030-78614-4, pp: 217-232, 2021,7.19-21, Dublin, Ireland.
  15. Yongkang Song, Yanqiu Shao. Improving Text Matching with Semantic Dependency Graph via Message Passing Neural Network. 7th International Conference on Artificial Intelligence and Security (ICAIS 2021), ISBN 978-3-030-78608-3, pp:395-406, 2021,7.19-21, Dublin, Ireland.
  16. Hang Yuan, Wei Gao*, Junle Wang, "Dynamic Computational Resource Allocation for Fast Inter Frame Coding in Video Conferencing Applications," IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, July 5-9, 2021.
  17. Zixuan Guo, Wei Gao*, Haiqiang Wang, Junle Wang, Songlin Fan, "No-Reference Deep Quality Assessment of Compressed Light Field Images," IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, July 5-9, 2021.
  18. Yuyang Wu, Zhiyang Qi, Huiming Zheng, Lvfang Tao, Wei Gao*, "Deep Image Compression with Latent Optimization and Piece-wise Quantization Approximation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 1926-1930, 2021.
  19. Zhanyuan Cai, Wei Gao*, "Efficient Fast Algorithm and Parallel Hardware Architecture for Intra Prediction of AVS3," IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021
  20. Jianwei Li, Haiqing Hu, Kaiyu Zhang. An Intelligent Analysis Method for Fitness Actions with a Mobile Camera. The 26th European College of Sport Science Congress, 2021.
  21. Hang Pan, Jianwei Li*, et al. Biomechanical analysis of shooting performance for basketball players based on Computer Vision.The 2th International Conference on Computer Vision and Data Mining (ICCVDM2021)
  22. Wenwen Chang, Wenqie Huang, Guanghui Yan, Yuchan Zhang. EEG based Graph Network Analysis for Motor Imagery Task: 2021 6th International Conference on Computational Intelligence and Applications (ICCIA) (2021), 11-13 Jun, Xiameng, China.
  23. Jiong Wang, Zhou Zhao, Weike Jin, Xinyu Duan, Zhen Lei, Baoxing Huai, Yiling Wu, Xiaofei He. VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation: Proceedings of the 29th ACM International Conference on Multimedi (ACM MM) (2021), ISBN: 978-1-4503-8651-7/21/10, pp: 1497–1506, 2021, Chengdu, China
  24. Liying Gao, Kai Niu#, Zehong Ma, Bingliang Jiao, Tonghao Tan, Peng Wang#. Text-Guided Visual Feature Refinement for Text-Based Person Search: 2021 ACM International Conference on Multimedia Retrieval (ICMR) (2021), ISBN: 978-1-4503-8463-6, pp: 118-126, 2021, Taipei Taiwan
  25. Shuai Wang, Kun Zhang*, Le Wu, Haiping Ma, Richang Hong, Meng Wang, Privileged Graph Distillation for Cold Start Recommendation, In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '21), 1187–1196.
  26. Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen*, DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis [C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 13960-13969.
  27. Hanna Lu. Decoding region-specific cortical complexity with multi-scale morphometric analysis. The 19th Asian Oceanian Congress of Radiology (AOCR), 2021, Kuala Lumpur, Malaysia.
  28. Hanna Lu. LANDSCAPE 2.0: An MRI-based Project for Personalized Brain Stimulation. BrainConnects2021, 2021, Hong Kong, HK SAR, China.
  29. HaoWei，Fulin Tang, Chaofan Zhang, Yihong Wu, Highly efficient line segment tracking with an imu-klt prediction and a convex geometric distance minimization 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 3999-4005, 2021, Xi’an, China.

国内会议National Conferences

  1. 毛达展，喻快，邵艳秋, 基于数据选择和局部伪标注的跨领域语义依存分析研究,第二十届中国计算语言学大会，2021,12.3-5
  2. Peipei Sun，Yanqiu Shao. Verification of Menzerath-Altmann's Law in Different Chinese Registers based on corpus. 2021 2nd International Conference on Artificial Intelligence and Education(ICAIE 2021), ISBN 978-6654-2492-9, pp: 34-39, 2021,1.18-20
  3. 孙珮珮，邵艳秋，张岚秋, 基于语义依存图语料库的中文省略句省略模式探析. 第二十二届汉语词汇语义学国际研讨会, 2021，5.15-16
  4. 张文敏，邵艳秋. 基于语义依存图的汉语复合名词短语语义关系语料库的构建与分析. 第二十二届汉语词汇语义学国际研讨会, 2021，5.15-16
  5. 王颖哲，邵艳秋，孙珮珮，基于语义依存图的流水句语料库构主语省略现象分析，第二十二届汉语词汇语义学国际研讨会, 2021，5.15-16
  6. Pengjie Li，Jianwei Li，Shouxin Zong, et al. Soccer Field Registration Based on Geometric Constraint and Deep Learning Method. The 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2021)
  7. Kun Zhang*, Guangyi Lv, Meng Wang, Enhong Chen, DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching, CAAI International Conference on Artificial Intelligence, June 5th - 6th, 2021, Hangzhou, China
  8. Mengfan Liu, Pengyang Shao, Kun Zhang*, Graph-Based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction, CAAI International Conference on Artificial Intelligence, June 5th - 6th, 2021, Hangzhou, China
  9. Gang Zhang, Chaofan Zhang*, Fulin Tang, Fan Wang, Yong Liu, Yihong Wu, Xuezhi Yang，High Power-efficient and Performance-density FPGA Accelerator for CNN-based Object Detection, 2021 PRCV, Springer, Cham, 2021: 117-128, 2021, Guangzhou, China
  10. Cuiyun Fang, Chaofan Zhang*, Fulin Tang, Fan Wang, Yihong Wu, Yong Liu, Pose-guided End-to-end Visual Navigation, Journal of Physics: Conference Series, IOP Publishing, 2021, 1873(1): 012011, 2021, Nanjing, China