[Home]
Edited book/chapter
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Jinjun Wang, Jian Cheng, and Shuqiang Jiang.
Computer
Vision for Multimedia Applications: Methods and Solutions
IGI Global Press 2011.
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Xiao Bai, Jian Cheng, and Edwin Hancock
Graph-Based
Methods in Computer Vision: Developments and Applications
IGI Global Press 2013
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Jian Cheng and Hanqing Lu
Local
Structure Preserving Based Subspace Analysis Methods and Applications
Book chapter (ed. by Y.-W. Chen and L.
C. Jain), Springer 2014
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Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch,
Jian Cheng
Graph-Based
Representations in Pattern Recognition
Proceedings of GbRPR
2015, Springer, 2015
Selected Articles:
2022
- Peisong
Wang, Weihan Chen, Xiangyu
He, Qiang Chen, Qingshan Liu,
Jian Cheng. Optimization-based
Post-training Quantization with Bit-split and Stitching.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
- Peisong
Wang, Fanrong Li, Gang Li, Jian Cheng. Extremely Sparse Networks via Binary Augmented
Pruning for Fast Image Classification. IEEE Transactions on Neural
Networks and Learning Systems (TNNLS), in press
- Gang Li, Zejian Liu, Fanrong Li, Jian
Cheng. Block Convolution: Towards
Memory-Efficient Inference of Large-Scale CNNs on FPGA. IEEE Transactions on
Computer-Aided Design of Integrated Circuits and Systems (TCAD). In press
- Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng,
Jian Cheng. ECBC: Efficient
Convolution via Blocked Columnizing. IEEE Transactions on Neural Networks and Learning Systems
(TNNLS), in press
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Guanan
Wang, Qinghao Hu, Yang Yang,
Jian Cheng, Zeng-Guang Hou. Adversarial Binary Mutual Learning for Semi-Supervised
Deep Hashing. IEEE Transactions on Neural
Networks and Learning Systems (TNNLS), in press
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Anda Cheng, Peisong Wang, Xi
Sheryl Zhang, Jian Cheng. Differentially
Private Federated Learning with Local Regularization and Sparsification. CVPR 2022.
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Qiang
Chen, Qiman Wu, Jian Wang, Qinghao
Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang. MixFormer: Mixing Features across Windows and Dimensions.
CVPR 2022.
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Jiahao
Lu, Xi Sheryl Zhang. Tianli Zhao, Xiangyu
He, Jian Cheng. APRIL: Finding
the Achilles' Heel on Privacy Leakage for Vision Transformers.
CVPR 2022.
- Anda
Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng. DPNAS: Neural Architecture Search for Deep Learning with
Differential Privacy. AAAI 2022.
- Weixiang
Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng. Towards Fully Sparse Training: Information Restoration
with Spatial Similarity. AAAI 2022.
2021
- Peisong
Wang, Xiangyu He, Qiang
Chen, Anda Cheng, Qingshan Liu, Jian Cheng. Unsupervised Network Quantization via
Fixed-point Factorization. IEEE Transactions on Neural
Networks and Learning Systems (TNNLS), Vol.32, No.6, pp.2706-2720, 2021.
- Ke Cheng, Yifan Zhang, Xiangyu He, Jian Cheng, Hanqing Lu. Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++. IEEE Transactions on Image Processing (TIP), Vol.30, pp. 7333-7348, 2021.
- Qiang
Chen, Anda Cheng, Xiangyu He, Peisong
wang, Jian Cheng. SpatialFlow: Bridging All Tasks for Panoptic Segmentation.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，Vol.31,
No.6, pp.2288-2300, 2021. [code]
- Fanrong
Li, Gang Li, Xiangyu He, Jian Cheng. Dynamic Dual Gating Neural Networks.
ICCV 2021.
- Weihan
Chen, Peisong Wang, Jian Cheng. Towards Mixed-Precision Quantization of Neural
Networks via Constrained Optimization. ICCV 2021.
- Lei
Shi, Yifan Zhang, Jian Cheng, Hanqing
Lu. AdaSGN: Adapting Joint Number and Model Size for
Efficient Skeleton-Based Action Recognition.
ICCV 2021.
- Zejian
Liu, Fanrong Li, Gang Li, Jian Cheng. EBERT: Efficient BERT Inference with Dynamic
Structured Pruning. Findings of ACL 2021.
- Zejian
Liu, Gang Li, Jian Cheng. Hardware
Acceleration of Fully Quantized BERT for Efficient Natural Language Processing.
DATE 2021 (Best paper candidate)
- Qiang
Chen, Yingming Wang, Tong Yang, Xiangyu
Zhang, Jian Cheng, Jian Sun. You
Only Look One-level Feature. CVPR 2021. [code]
2020
- Lei Shi, Yifan Zhang, Jian Cheng, Hanqing
Lu. Skeleton-Based Action
Recognition With Multi-Stream Adaptive Graph Convolutional Networks. IEEE
Transactions on Image Processing (TIP), Vol.29, pp.9532-9545, 2020.
- Fanrong
Li, Gang Li, Zitao Mo, Xiangyu
He, Jian Cheng.
FSA: A Fine-Grained Systolic
Accelerator for Sparse CNNS. IEEE Transactions on Computer-Aided Design of Integrated
Circuits and Systems (TCAD), Vol.39, No.11, pp.3589-3600, 2020.
- Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian
Cheng. Bayesian Automatic Model
Compression.
IEEE Journal of Selected Topics in Signal Processing, Vol.14, No.4, pp.727-736,
2020.
- Qiang
Chen, Peisong Wang, Anda Cheng, Wanguo
Wang, Yifan Zhang, Jian Cheng. Robust One-stage Object Detection with
Location-aware Classifiers. Pattern Recognition (PR),
Vol.105, September,107334, 2020.
- Lu Bai, Luca Rossi,
Lixin Cui, Jian Cheng, Edwin R.Hancock.
A Quantum-Inspired Similarity
Measure for the Analysis of Complete Weighted Graphs. IEEE Transactions on
Cybernetics (ToC), Vol.50, Issue 3, pp. 1264-1277,
2020.
- Chunjie
Zhang, Jian Cheng, Qi Tian. Multi-View
Image Classification with Visual, Semantic and View Consistency.
IEEE Transactions on Image Processing (TIP), Vol.29, pp.617-627, 2020.
- Jiaxing
Wang, Haoli Bai, Jiaxiang
Wu, Xupeng Shi, Junzhou
Huang, Irwin King, Michael Lyu, Jian Cheng. Revisiting Parameter Sharing for Automatic
Neural Channel Number Search. NeurIPS
2020.
- Peisong
Wang, Qiang Chen, Xiangyu
He, Jian Cheng. Towards Accurate
Post-training Network Quantization via Bit-Split and Stitching.
ICML 2020.[code]
- Xiangyu
He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian
Cheng. ProxyBNN: Learning Binarized Neural Networks via Proxy
Matrices. ECCV 2020.
- Guanan
Wang, Shaogang Gong, Jian Cheng, Zengguang
Hou. Fast Person
Re-Identification. ECCV 2020.
- Ke
Cheng, Yifan Zhang, Congqi
Cao, Lei Shi, Jian Cheng, Hanqing Lu. Decoupling GCN with DropGraph
Module for Skeleton-Based Action Recognition.
ECCV 2020. [code]
- Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng. Hardware Acceleration of CNN with One-Hot Quantization of Weights and
Activations. DATE
2020.
- Jiaxing
Wang, Jiaxiang Wu, Haoli
Bai, Jian Cheng. M-NAS: Meta
Neural Architecture Search. AAAI 2020.
- Peisong
Wang, Xiangyu He, Gang Li, Tianli
Zhao, Jian Cheng. Sparsity-Inducing
Binarized Neural Networks. AAAI 2020.
- Guanan
Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguan
Hou. Cross-Modality Paired-Images
Generation for RGB-Infrared Person Re-Identification.
AAAI 2020.
- Shuai
Zheng, Zhenfeng Zhu, Xingxing
Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao. Distribution-induced Bidirectional Generative
Adversarial Network for Graph Representation Learning.
CVPR 2020.
- Ke
Cheng, Yifan Zhang, Xiangyu
He, Weihan Chen, Jian Cheng, Hanqing
Lu. Skeleton-based Action
Recognition with Shift Graph Convolutional Network.
CVPR 2020. [code]
- Weixiang
Xu, Xiangyu He, Tianli
Zhao, Qinghao Hu, Peisong
Wang, Jian Cheng. Soft Threshold
Ternary Networks. IJCAI 2020.
2019
- Chunjie Zhang,
Jian Cheng, Qi Tian. Semantically
Modeling of Object and Context for Categorization. IEEE Transactions on
Neural Networks and Learning Systems (TNNLS), Vol.30, No.4, pp.1013-1024, 2019.
- Zhe Li, Peisong Wang, Hanqing Lu, Jian
Cheng. Reading Selectively via
Binary Input Gate Recurrent Unit. IJCAI 2019.
- Zhe Li, Jian Cheng. Training Binary-Valued Gates LSTM. ICDAR 2019.
- Guanan Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zengguang Hou. Color-Sensitive
Persong Re-Identification. IJCAI 2019.
- Guanan Wang, Tianzhu
Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou. RGB-Infrared
Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. ICCV 2019.
- Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng. A System-Level Solution for Low-Power Object Detection. ICCV 2019 Workshop on Low-Power Computer Vision.
- Xiangyu He, Peisong Wang, Jian Cheng. K-Nearest Neighbors Hashing. CVPR 2019. [code]
- Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu,
Mingyuan Yang, Jian Cheng. ODE-inspired Network Design for Single Image
Super-Resolution. CVPR 2019. [code]
- Lei Shi, Yifan Zhang, Jian Cheng, Hanqing
Lu. Skeleton-Based Action
Recognition with Directed Graph Neural Networks. CVPR 2019.
- Lei Shi, Yifan Zhang, Jian Cheng, Hanqing
Lu. Two-Stream Adaptive Graph
Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019.[code]
2018
- Jian Cheng, Peisong Wang, Gang Li, Qinghao
Hu, Hanqing Lu. Recent Advances in Efficient Computation of Deep
Convolutional Neural Networks. Frontiers of Information Technology & Electronic
Engineering (FITEE), Vol.19, No.1, pp.64-77, 2018. [arXiv]
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Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang
Zhao, Jian Cheng. DeepSearch: A Fast Image Search Framework for Mobile
Devices. ACM
Transactions on Multimedia Computing Communications and Applications (TOMM),
Vol.14(1), 2018.
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Yifan Zhang, Congqi Cao, Jian Cheng, Hanqing
Lu. EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture
Recognition.
IEEE Transactions on Multimedia (TMM), Vol.20, No.5, pp.1038-1050, 2018. [Project
link]
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Chunjie Zhang, Jian Cheng, Qi Tian. Multiview Label Sharing for Visual
Representations and Classification. IEEE Transactions on Multimedia (TMM), Vol.20, No.4,
pp.903-913, 2018.
- Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu. Quantized CNN: A Unified Approach to
Accelerate and Compress Convolutional Networks. IEEE Transactions
on Neural Networks and Learning Systems (TNNLS), Vol.29, No.10,
pp.4730-4743, 2018.
- Tianli Zhao, Xiangyu He, Jian Cheng. BitStream: Efficient Computing Architecture for Real-Time
Low-Power Inference of Binary Neural Networks on CPUs. ACM MM 2018.
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Xiangyu He, Jian Cheng. Learning Compression from Limited Unlabeled
Data.
ECCV 2018. [code]
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Guanan Wang, Qinghao Hu, Jian Cheng, Zengguang
Hou. Semi-Supervised Generative
Adversarial Hashing for Image Retrieval. ECCV 2018.
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Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian
Cheng. Training Binary Weight
Networks via Semi-Binary Decomposition. ECCV 2018.
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Qinghao Hu, Peisong Wang, Jian Cheng. From Hashing to CNNs: Training Binary Weight Networks via
Hashing. AAAI
2018.
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Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng. Block Convolution: Towards Memory-Efficient Inference of
Large-Scale CNNs on FPGA. DATE 2018.
- Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie
Zhang, Yang Liu, Jian Cheng. Two-Step
Quantization for Low-bit Neural Networks. CVPR 2018.[code]
2017
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Chunjie Zhang, Jian Cheng, Qi Tian. Incremental Codebook Adaptation for Visual
Representation and Categorization. IEEE Transactions on Cybernetics (ToC),
in press.
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Chunjie Zhang, Jian Cheng, Qi Tian. Structured Weak Semantic Space Construction
For Visual Categorization. IEEE Transactions on Neural
Networks and Learning Systems (TNNLS), in press.
- Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu. BundleNet: Learning with Noisy Label via Sample Correlations. IEEE Access, Vol.6, pp. 2367- 2377, 2017.
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Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang,
Jian Cheng. Fast K-Means for
Large Scale Clustering. ACM CIKM 2017.
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Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing
Lu. Pesudo Label based Unsupervised Deep Discriminative
Hashing for Image Retrieval. ACM MM 2017.
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Congqi Cao, Yifan Zhang, Yi Wu, Hanqing Lu,
Jian Cheng. Egocentric Gesture
Recognition Using Recurrent 3D Convolutional Neural Networks with
Spatiotemporal Transformer Modules. ICCV 2017. [Project
link]
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Peisong Wang, Jian
Cheng. Fixed-point Factorized
Networks.
CVPR 2017. [code]
2016
- Zhenfeng Zhu, Jian Cheng,
Yao Zhao, Jieping Ye. LSSLP-Local Structure Sensitive Label Propagation. Information
Sciences, Vol.332, pp.19-32, 2016.
- Peisong Wang, Qiang Song, Hua Han, Jian Cheng. Sequentially Supervised Long Short-Term Memory for
Gesture Recognition.
Cognitive Computation 2016
- Peisong Wang, Jian
Cheng. Accelerating Convolutional
Neural Networks for Mobile Applications. ACM MM 2016.
- Zeyu Qiu, Deqiang Kong, Zhenfeng Zhu, Hanqing Lu, Jian
Cheng. Heterogenous Graph Mining
for Measuring the Impact of Research Institutions. KDD 2016 KDD Cup workshop.
(Ranked the 1st place on phase 2)
- Chenghua Li, Qi Kang, Guojing Ge, Qiang Song, Hanqing Lu, Jian Cheng. DeepBE: Learning Deep Binary Encoding for Multi-Label
Classification.
CVPR 2016 workshop. (Ranked the 2nd
places on track 2 and track 3 of ChaLearn 2016)
- Chenghua Li, Qiang Song, Yuhang Wang, Hang
Song, Qi Kang, Jian Cheng, Hanqing Lu. Learning to Recognition from Bing Clickture Data. ICME 2016 workshop. (Successfully
defended the 1st place on MSR Image Recognition Challenge)
- Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng. Quantized Convolutional Neural Networks
for Mobile Devices. CVPR 2016. [code]
- Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian
Cheng. Shoot to Know What: An
Application of Deep Networks on Mobile Devices. AAAI 2016 (Demo track).
2015
- Chunjie Zhang,
Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang,
Qi Tian. Beyond Explicit Codebook
Generation: Visual Representation Using Implicitly Transferred Codebooks. IEEE
Transactions on Image Processing (TIP), Vol. 24, No. 12, pp.5777-5788, 2015.
- Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian
Cheng. Learning Deep Features for
MSR-Bing Information Retrieval Challenge. ACM Multimedia 2015. (Ranked the 1st place on Visual Recognition
task and 3rd place on Image Retrieval task)
- Qiang Song, Jian
Cheng, Ting Yuan, Hanqing Lu. Personalized Recommendation Meets Your Next
Favorite.
CIKM 2015.
- Qiang Song, Jian
Cheng, Hanqing Lu. Incremental Matrix Factorization via Feature Space
Re-learning for Recommender System. ACM RecSys 2015.
- Cong Leng, Jiaxiang Wu, Jian Cheng, Xi
Zhang, Hanqing Lu. Hashing for Distributed Data. ICML 2015.
- Xi Zhang, Jian
Cheng, Shuang Qiu, Zhenfeng
Zhu, Hanqing Lu. When Personalization meets Conformity: Collective
Similarity based Multi-Domain Recommendation. SIGIR 2015.
- Cong Leng, Jian Cheng. Consensus Hashing. Machine Learning, Vol.100 (2), pp.379-398, 2015.
- Cong Leng, Jiaxiang Wu, Jian Cheng,
Xiao Bai, Hanqing Lu. Online Sketching Hashing. CVPR 2015.[code]
- Shuang Qiu, Jian Cheng, Xi Zhang, Hanqing
Lu. Exploring Heterogeneity for
Multi-Domain Recommendation with Decisive Factors Selection. WWW 2015
(Companion Volume).
- Xi Zhang, Jian Cheng, Shuang Qiu, Guibo Zhu, Hanqing Lu. DualDS: A Dual Discriminative Rating Elicitation Framework for
Cold Start Recommendation. Knowledge-Based Systems, Vol.73, pp.161-172,
2015.
2014
- Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng. Data-Dependent Hashing Based on p-Stable
Distribution.
IEEE Transactions on Image Processing (TIP), Vol.23, No.12, pp.5033-5046, 2014.
- Cong Leng, Jian Cheng, Jiaxiang Wu, Xi
Zhang, Hanqing Lu. Supervised Hashing with Soft Constraints. CIKM 2014.
- Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing
Lu. Learning binary codes with
bagging PCA.
ECML 2014. [code]
- Jiaxiang Wu, Jian Cheng. Bayesian Co-Boosting for Multi-modal Gesture
Recognition. Journal of Machine Learning Research (JMLR),
15(Oct):3013−3036, 2014.
- Cong Leng, Jian Cheng, Hanqing Lu. Random Subspace for Binary Codes Learning in
Large Scale Image Retrieval. SIGIR 2014.
- Jian Cheng, Ting
Yuan, Jinqiao Wang, Hanqing
Lu. Group Latent Factor Model for
Recommendation with Multiple User Behaviors. SIGIR
2014.
- Shuang Qiu, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu. Item Group Based Pairwise Preference Learning for
Personalized Ranking. SIGIR 2014.
- Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu. Fast and
Accurate Image Matching with Cascade Hashing for 3D Reconstruction. CVPR 2014. (Oral, acceptance rate=5.75%) [code][indexed
by openMVG][indexed by Theia]
- Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng. Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR 2014.
- Ting Yuan, Jian Cheng, Xi Zhang, Shuang Qiu and Hanqing Lu. Recommendation by Mining Multiple User Behaviors with Group Sparsity. AAAI 2014.
- Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu. Semi-Supervised Multi-Graph Hashing for Scalable Similarity Search. Computer Vision and Image Understanding (CVIU), Vol.124, pp.12-21, 2014.
- Huiguang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao. Object Detection via Structural Feature Selection and Shape Model. IEEE Transaction on Image Processing (TIP), Vol.22, No.12, pp.4984-4995, 2013.
- Biao Niu, Jian Cheng, Xiao Bai, Hanqing Lu. Asymmetric Propagation based Batch Mode Active Learning for Image Retrieval. Signal Processing. Vol.93, pp. 1639-1650, 2013
- Peng Li, Jian Cheng, Hanqing Lu. Dual Locality Sensitive Hashing with Discriminative Projections Selection. Signal Processing, Vol.93, No.8, pp.2256-2264, 2013
- Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng, Hanqing Lu. Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy. IEEE Geoscience and Remote Sensing Letters, Vol.10, No.2, pp.396-400, 2013
- Chao Liang, Changsheng Xu, Jian Cheng, Weiqing Min, Hanqing Lu. Script-to-Movie: A Computational Framework for Story Movie Composition. IEEE Transactions on Multimedia (TMM). Vol.15, No.2, pp.401-414, 2013
- Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, Hanqing Lu. Spectral Hashing with Semantically Consistent Graph for Image Indexing. IEEE Transactions on Multimedia (TMM), Vol.15, No.1, pp.141-152, 2013. (Prize paper award honorable mention 2016)
- Biao Niu, Bin Li, Peng Li, Xi Zhang, Jian Cheng, Hanqing Lu. Attribute Expansion with Sequential Learning for Object Classification. ICME 2013. (Best paper candidate)
- Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu, Hanqing Lu. Semi-Supervised Discriminative Preference Elicitation for Cold-Start Recommendation. CIKM 2013.
- Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu, Hanqing Lu. TopRec: Domain-Specific Recommendation through Community Topic Mining in Social Network. WWW 2013.
- Jiaxiang Wu, Jian Cheng, Chaoyang Zhao, Hanqing Lu. Fusing multi-modal features for gesture recognition. ICMI 2013. (Won 1st award on ChaLearn Challenge 2013)
- Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu, Jun Wang, Haibin Ling, Erik Blasch, Li Bai. Real-time probabilistic covariance tracking with efficient model update. IEEE Transactions on Image Processing (TIP), Vol.21, No.5, pp.2824-2837, 2012
- Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Jian Cheng, Changsheng Xu. Dimensionality Reduction by Mixed Kernel Canonical Correlation Analysis. Pattern Recognition, Vol.45, No.8, pp.3003-3016, 2012
- Biao Niu, Jian Cheng, Hanqing Lu. Improving Relevance Feedback for Image Retrieval with Asymmetric Sampling. ICME 2012
- Peng Li, Jian Cheng, Hanqing Lu. Modeling Hidden Topics with Dual Local Consistency for Image Analysis. ACCV 2012
- Chao Liang, Changsheng Xu, Jian Cheng, Hanqing Lu. TVParser: An automatic TV video parsing method. CVPR 2011
- Yang Liu, Jian Cheng, Changsheng Xu, Hanqing Lu. Building topographic subspace model with transfer learning for sparse representation. Neurocomputing, 73(10-12), 2010
- Changsheng Xu, Jian Cheng, Yi Zhang, Yifan Zhang, and Hanqing Lu. Sports video analysis: semantics extraction, editorial content creation and adaptation. Journal of Multimedia, Vol.4, No.2, pp.69-79, 2009
- Xiaoyu Zhang, Changsheng Xu, Jian Cheng, Hanqing Lu, and Songde Ma. Effective Annotation and Search for Video Blogs with Integration of Context and Content Analysis. IEEE Transactions on Multimedia (TMM), Vol.11, No.2, pp.272-285, 2009.
- Yikai Fang, Jian Cheng, Hanqing Lu. A hand gesture recognition method with fast scale-space feature detection. Journal of Image and Graphics, Vol.14, No.2, 2009. (In Chinese)
- Rong Liu, Jian Cheng, Hanqing Lu. A Robust Boosting Tracker with Minimum Error Bound in a Co-training Framework. ICCV 2009
- Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu. Real-time Visual Tracking via Incremental Covariance Tensor Learning. ICCV 2009
- Yu Fu, Jian Cheng, Zhenglong Li and Hanqing Lu. Saliency Cuts: an automatic approach to object segmentation. ICPR 2008
- Yikai Fang, Kongqiao Wang, Jian Cheng, and Hanqing Lu. A Real-time hand gesture recognition method. ICME 2007
- Yikai Fang, Jian Cheng, Kongqiao Wang, and Hanqing Lu. Hand gesture recognition using fast multi-scale analysis. ICIG 2007
- Zhenglong Li, Jian Cheng, Qingshan Liu, and Hanqing Lu. Image Segmentation using Co-EM strategy. ACCV 2007
- Xiaoyu Zhang, Jian Cheng, Hanqing Lu, and Songde Ma. Weighted Co-SVM for image retrieval with MVB strategy. ICIP 2007
- Jian Cheng and Kongqiao Wang. Active learning for image retrieval with Co-SVM. Pattern Recognition, Vol.40, pp.330-334, 2007.
- Jian Cheng, Qingshan Liu, Hanqing Lu, and Yen-Wei Chen. Ensemble learning for independent component analysis. Pattern Recognition, Vol.39, pp.81-88, 2006.
- Jian Cheng, Qingshan Liu, Hanqing Lu, and Yen-Wei Chen. Supervised kernel locality preserving projections for face recognition. Neurocomputing, vol.67, pp.443-449, 2005.
- Jian Cheng, Yen-Wei Chen, Hanqing Lu and Xiang-Yan Zeng. A spatial weighted color histogram for image retrieval. IEICE Transaction on Information and System, Vol.E87-D, No.1, pp.246-249, 2004.