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  Chengqing Zong,   Research Fellow (Professor)

  National Laboratory of Pattern Recognition

  Institute of Automation, Chinese Academy of Sciences

  No.95, Zhong Guan Cun East Road

  Beijing 100190, China

  E-mail: cqzong(at)nlpr.ia.ac.cn

  Tel. +86-10-8254 4688 

  Fax +86-10-6264 7517

Bio

Chengqing Zong received his Ph.D. from the Institute of Computing Technology, Chinese Academy of Sciences (CAS), in March 1998. From May 1998 to April 2000, he worked as a postdoctoral research fellow at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, CAS. After completing his postdoctoral program, he has continued his work at NLPR to the present. He is currently a professor at the Institute of Automation, CAS. He is an IEEE Fellow, a foreign member of the Academia Europaea, an ACL Fellow, a CAAI Fellow, and a CCF Fellow.

His research interests include fundamental research and development in natural language processing and cognitive language computing. As a principal investigator, he has led more than 10 projects supported by the Natural Science Foundation of China, the National Key Research and Development Program of China, and others. He has authored or co-authored six books and more than 200 journal and conference papers. In 2025, he is serving as the President of the Association for Computational Linguistics. He previously served as the President of the Asian Federation of Natural Language Processing from 2019 to 2021. He also served as Program Committee Co-Chair for top-tier international conferences such as ACL 2015 and COLING 2020, and as General Conference Chair for ACL 2021. He has received numerous awards, including the Second Prize of the National Scientific and Technological Progress Award of China in 2015, one of the country's most prestigious and influential honors.

  1. Education

  2. Professional Experience

  3. Selected Publications

  4. Professional Activities

  5. Awards and Honours

  6. Invited Presentations

  7. Teaching Courses

　

  Education

 　

  • March, 1995 – March, 1998:  Ph.D. in Computer Science and Application, Institute of Computing Technology, Chinese Academy of Sciences.

  • September, 1987 – July, 1990:  M.S. in Computer Engineering, Department of Computer Engineering, Shandong University of Technology

  • September, 1983 – July, 1987:  B.Sc. in Computer Engineering, Department of Computer Engineering, Shandong University of Technology

　

  Professional Experience

 　

  • April, 2000 – present: Researcher, National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences

          ◊  Research Fellow (Professor),  June, 2004 to present

          ◊  Deputy Director of NLPR, October, 2006 – January, 2014

          ◊  October, 2004 – January, 2005: Visiting Scholar, GETA, CLIPS-IMAG, France
          ◊  April, 2001 – September, 2001: Guest Researcher, SLT-ATR, Japan
          ◊  May, 1999 – August, 1999: Guest Researcher, SLT-ATR, Japan

  • May, 1998 – April, 2000: Post-Doctoral Research Fellow, NLPR, Institute of Automation, Chinese Academy of Sciences

  • July, 1990 – March, 1995: Teacher, Department of Computer Engineering, Shandong University of Technology 

<<<  Top

　

  Selected Publications

  

◆ Books

  • Chengqing Zong, Yang Zhao and Baidu Feijiang, Foundations of Natural Language Processing and Large Models - Cases and Practice (in Chinese) (in Chinese), Tsinghua University Press, January 2024. ISBN 978-7-302-65155-0

  • Chengqing Zong, Rui Xia, Jiajun Zhang. Text Data Mining(in English), Tsinghua University Press and Springer, 2021. ISBN 978-981-16-0100-2【 https://www.springer.com/gp/book/9789811600999】

  • Chengqing Zong, Rui Xia and Jiajun Zhang, Text Data Mining (in Chinese), Tsinghua University Press, December 2022 (2nd Edition)

  • Chengqing Zong, Rui Xia and Jiajun Zhang, Text Data Mining (in Chinese), Tsinghua University Press, May 2019

  • Chengqing Zong. Statistical Natural Language Processing (in Chinese), Tsinghua University Press, August 2013 (2nd Edition) (The 1st edition was printed in May 2008).  [Outline of the 2nd edition] 

    (The second edition has been printed for seventeen times.)

◆ International Journal Papers

  1. Zhiyang Zhang, Yaping Zhang, Yupu Liang, Cong Ma, Lu Xiang, Yang Zhao, Yu Zhou, and Chengqing Zong. Understand Layout and Translate Text: Unified Feature-Conductive End-to-End Document Image Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Accepted. https://doi.org/10.1109/TPAMI.2025.3530998

  2. Xiangyu Wang and Chengqing Zong. Learning Emotion Category Representation to Detect Emotion Relations across Languages. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). https://doi.org/10.1109/TPAMI.2025.3545447

  3. Zhiyang Zhang, Yaping Zhang, Yupu Liang, Cong Ma, Lu Xiang, Yang Zhao, Yu Zhou, and Chengqing Zong, Fellow, IEEE. Reading when Translating: Multi-Modal Document Image Machine Translation with Reading Flow Prediction. IEEE Transactions on Audio, Speech and Language Processing (TASLP). https://doi.org/10.1109/TASLPRO.2025.3578754

  4. Yunhao Zhang, Shaonan Wang, Nan Lin, Lingzhong Fan, Chengqing Zong. A simple clustering approach to map the human brain's cortical semantic network organization during task. NeuroImage, Feb. 2025. https://doi.org/10.1016/j.neuroimage.2025.121096

  5. Yunhao Zhang, Xiaohan Zhang, Chong Li, Shaonan Wang, Chengqing Zong. MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models. Language Resource and Evaluation (LRE), accepted.

  6. Zirui Zhang, Yaping Zhang, Lu Xiang, Yang Zhao, Feifei Zhai, Yu Zhou, and Chengqing Zong, Fellow, IEEE. PromptDLA: A Domain-aware Prompt Document Layout Analysis Framework with Descriptive Knowledge as a Cue. IEEE Transactions on Multimedia (TMM), accepted.

  7. Lu Xiang, Yang Zhao, Yaping Zhang, Chengqing Zong. A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities. Studies in Informatics and Control, ISSN 1220-1766, vol. 34(1), pp. 5-24, 2025. https://doi.org/10.24846/v34i1y202501

  8. Cong Ma, Xu Han, Linghui Wu, Yaping Zhang, Yang Zhao, Yu Zhou, and Chengqing Zong. Modal Contrastive Learning based End-to-End Text Image Machine Translation. IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), vol. 32, pp. 2153-2165, 2024, https://doi.org/10.1109/TASLP.2023.3324540.

  9. Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, and Chengqing Zong. Topic-Oriented Dialogue Summarization. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), vol. 31, pp. 1797-1810, https://doi.org/10.1109/TASLP.2023.3271118.

  10. Shaonan Wang, Yunhao Zhang, Weiting Shi, Guangyao Zhang, Jiajun Zhang, Nan Lin, and Chengqing Zong. A large dataset of semantic ratings and its computational extension. Scientific Data, (2023) 10: 106,https://doi.org/10.1038/s41597-023-01995-6.

  11. Xiangyu Wang, Chengqing Zong. Learning Category Distribution for Text Classification. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 22(4), 1-13, https://doi.acm.org?doi=3585279.

  12. Feihu Jin, Jinliang Lu, Jiajun Zhang, Chengqing Zong. Instance-aware Prompt Learning for Language Understanding and Generation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 22(7), 1–18.

  13. Jinghui Yan, Chengqing Zong, Jinan Xu. Combination of Loss-Based Active Learning and Semi-Supervised learning for Recognizing Entities in Chinese Electronic Medical Records. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 22(5), 1-19, https://doi.acm.org?doi=3588314

  14. Yang Zhao, Jiajun Zhang, Chengqing Zong. Transformer: A General Framework from Machine Translation to Others. Machine Intelligence Research, pp.1-25, http://doi.org/10.1007/s11633-022-1393-5

  15. Shaonan Wang, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, and Chengqing Zong. An fMRI Dataset for Concept Representation with Semantic Feature Annotations. Nature- Scientific Data, (2022) 9: 721, https://doi.org/10.1038/s41597-022-01840-2

  16. Shaonan Wang, Xiaohan Zhang, Jiajun Zhang, and Chengqing Zong. A synchronized multimodal neuroimaging dataset for studying brain language processing. Scientific Data, (2022) 9: 590.

  17. Qian Wang, Jiajun Zhang, Chengqing Zong. Synchronous Inference for Multilingual Neural Machine Translation[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, 30:1827-1839

  18. Yu Lu, Jiajun Zhang, Jiali Zeng, Shuangzhi Wu and Chengqing Zong. Attention Analysis and Calibration for Transformer in Natural Language Generation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, 30:1927-1938.

  19. Lu Xiang, Yang Zhao, Junnan Zhu, Yu Zhou, Chengqing Zong. Zero-Shot Language Extension for Dialogue State Tracking via Pre-Trained Models and Multi-Auxiliary-Tasks Fine-tuning. Knowledge-Based Systems, 259 (2023) 110015 (https://doi.org/10.1016/j.knosys.2022.110015)

  20. Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou. Multi-source domain adaptation method for textual emotion classification using deep and broad learning. Knowledge-Based Systems, 6 December 2022, https://doi.org/10.1016/j.knosys.2022.110173

  21. Rong Zeng, Hongzhan Liu, Sancheng Peng, Lihong Cao, Aimin Yang, Chengqing Zong, Guodong Zhou. CNN-Based Broad Learning for Cross-Domain Emotion Classification. TSINGHUA SCIENCE AND TECHNOLOGY, 12/15, 2022, pp360–369.https://doi.org/10.26599/TST.2022.9010007.

  22. Xiaomian Kang, Yang Zhao, Jiajun Zhang, Chengqing Zong. Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.21, No.3, Article 59, pp 1–21, May 2022.

  23. Mei Li, Lu Xiang, Jiajun Zhang and Chengqing Zong. Dual-View Conditional Variational Auto-Encoder for Emotional Dialogue Generation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.21, No.3, Article 46, pp 1–18, May 2022.

  24. Jian Sun, Yu Zhou, Chengqing Zong. One-shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.21, No.3, Article 52, pp 1–19, May 2022.

  25. Mei Li, Lu Xiang, Xiaomian Kang, Yang Zhao, Yu Zhou and Chengqing Zong. Medical Term and Status Generation From Chinese Clinical Dialogue With Multi-Granularity Transformer. IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 3362-3374, 2021, https://doi.org/10.1109/TASLP.2021.3122301.

  26. 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.

  27. Jingyuan Sun, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Neural Encoding and Decoding with Distributed Sentence Representations, IEEE Transactions on Neural Networks and Learning Systems, Vol.32, No.2, pp.589-603, 2020.

  28. Jiajun Zhang, Long Zhou, Yang Zhao and Chengqing Zong. Synchronous bidirectional inference for neural sequence generation. Artificial Intelligence, 281(2020)103234, pp.1-19

  29. Kexin Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, and Chengqing Zong. Structurally-Comparative Hinge Loss for Dependency-based Neural Text Representation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 19, No. 4, Article 58, May 2020.

  30. Shaonan Wang, Jiajun Zhang, Haiyan Wang, Nan Lin and Chengqing Zong. Fine-grained Neural Decoding with Distributed Word Representations. Information Sciences, 507 (2020) 256–272

  31. Long Zhou, Jiajun Zhang, Chengqing Zong.Synchronous Bidirectional Neural Machine Translation, Transactions of Association for Computational Linguistics (TACL), Vol. 7, pp. 91-105, 2019.

  32. Jiajun Zhang, Yang Zhao, Haoran Li and Chengqing Zong. Attention with Sparsity Regularization for Neural Machine Translation and Summarization. IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 27, No.3, pp. 507-518, 2019.

  33. Yang Liu, Kun Wang, Chengqing Zong, Keh-Yih Su, A unified framework and models for integrating translation memory into phrase-based statistical machine translation, Computer Speech & Language, Volume 54, 2019, Pages 176-206.

  34. Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang and Chengqing Zong. Read, Watch, Listen and Summarize: Multi-modal Summarization for Asynchronous Text, Image, Audio and Video. Transactions on Knowledge and Data Engineering (TKDE), Vol. 31, No. 5, May 2019, Pages 996-1009.  Print ISSN: 1041-4347, Online ISSN: 1041-4347, Digital Object Identifier:   10.1109/TKDE.2018.2848260

  35. Junjie Li, Haoran Li, Xiaomian Kang, Haitong Yang and Chengqing Zong. Incorporating Multi-level User Preference into Document-level Sentiment Classification. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 18, No. 1, Article 7, 17 pages, November 2018

  36. Guoping Huang, Jiajun Zhang, Yu Zhou and Chengqing Zong. Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 18, No. 1, Article 4, 22 pages,  January 2019

  37. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Empirical Exploring Word-Character Relationship for Chinese Sentence Representation. ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 17, No. 3, Article 14, 18 pages, January 2018.

  38. Haoran Li, Jiajun Zhang and Chengqing Zong. Implicit Discourse Relation Recognition for English and Chinese with Multiview Modeling and Effective Representation Learning. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.16, No. 3, Article 19, 21 pages, March 2017.

  39. Shaonan Wang and Chengqing Zong.  Comparison Study on Critical Components in Composition Model for Phrase Representation, ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 16, No. 3, Article 16, 25 pages, January 2017.
     Please see the source code and data from the website:https://github.com/wangshaonan/Phrase-representation/ or directly download the source code and data here. In case there is any problem, please feel free to contact Ms. Shaonan Wang by using her e-mail account: shaonan.wang@nlpr.ia.ac.cn.

  40. Jiajun Zhang, Yu Zhou and Chengqing Zong. Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2016, 24(10): 1842-1853

  41. Haitong Yang and Chengqing Zong. Learning Generalized Features for Semantic Role Labeling. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.15, No.4, Article 28, April 2016

  42. Haitong Yang, Yu Zhou and Chengqing Zong. Bilingual Semantic Role Labeling Inference via Dual Decomposition. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 15, No. 3, Article 15, December, 2015, 21 pages

  43. Mei Tu, Yu Zhou and Chengqing Zong. Exploring Diverse Features for Statistical Machine Translation Model Filtering. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Vol.23, No.11, Nov. 2015, pp.1847-1857

  44. Jiajun Zhang and Chengqing Zong. Deep Neural Networks in Machine Translation: An Overview. IEEE Intelligent Systems, Sept./Oct., 2015, 30(5), pp. 16-25

  45. Rui Xia, Feng Xu, Chengqing Zong, Qianmu Li, Yong Qi, and Tao Li. Dual Sentiment Analysis: Considering Two Sides of One Review. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 8, August, 2015, pp. 2120-2133

  46. Haitong Yang, Tao Zhuang and Chengqing Zong. Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks. Transactions of Association for Computational Linguistics (TACL), Vol. 3, pp. 271-282, 2015

  47. Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong.  Towards Machine Translation in Semantic Vector Space, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 14, No. 2 (March, 2015), Article 9, 26 pages

  48. Xiaoqing Li, Chengqing Zong and Keh-Yih Su. A Unified Model for Solving the OOV Problems of Chinese Word Segmentation, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 14, No. 3 (June, 2015), Article 12, 29 pages

  49. Rui Xia, Chengqing Zong, Xuelei Hu, and Erik Cambria. Feature Ensemble plus Sample Selection: Domain Adaptation for Sentiment Classification. IEEE Intelligent Systems, May/June, 2013, pages 10-18

  50. Jiajun Zhang, Feifei Zhai, and Chengqing Zong. Syntax-Based Translation with Bilingually Lexicalized Synchronous Tree Substitution Grammars. IEEE Transactions on Audio, Speech and Language Processing (TASLP), Vol.21, No.8, 2013, pages 1586-1597

  51. Zhiguo Wang and Chengqing Zong. Large-scale Word Alignment Using Soft Dependency Cohesion Constraints. Transactions of Association for Computational Linguistics (TACL), 1(2013): 291-300

  52. Feifei Zhai, Jiajun Zhang, Yu Zhou, and Chengqing Zong. Unsupervised Tree Induction for Tree-based Translation. Transactions of Association for Computational Linguistics (TACL), 1(2013): 243-254

  53. Yufeng Chen, Chengqing Zong and Keh-Yih Su. A Joint Model to Simultaneously Identify and Align Bilingual Named Entities. Computational Linguistics, 39(2):229-266

  54. Jiajun Zhang and Chengqing Zong. A Unified Approach for Effectively Integrating Source-side Syntactic Reordering Rules into Phrase-based Translation. Language Resources and Evaluation (LRE), 10 February, 2013, 26 pages

  55. Jiajun Zhang, Feifei Zhai and Chengqing Zong. A Substitution-Translation-Restoration Framework for Handling Unknown Words in Statistical Machine Translation. Journal of Computer Science and Technology (JCST), 28(5):907-918. Sept., 2013

  56. Kun Wang, Chengqing Zong and Keh-Yih Su. Integrating Generative and Discriminative Character-Based Models for Chinese Word Segmentation. ACM Transactions on Asian Language Information Processing (TALIP), Vol.11, No.2 (June, 2012), Article 7, 41 pages

  57. Rui Xia, Chengqing Zong, and Shoushan Li. Ensemble of feature sets and classification algorithms for sentiment classification. Information Sciences, 181(2011): 1138–1152

  58. Shoushan Li, Chu-Ren Huang, and Chengqing Zong. Multi-Domain Sentiment Classification with Classier Combination. Journal of Computer Science and Technology (JCST), 26(1): 25-33 Jan. 2011

  59. Chengqing Zong and Qingshi Gao. Chinese R&D in Natural Language Technology. IEEE Intelligent Systems, Vol.23, No. 6, 2008. Pages 42-48

  60. Yufeng Chen and Chengqing Zong. A Structure-based Model for Chinese Organization Name Translation. ACM Transactions on Asian Language Information Processing (TALIP), Vol. 7, No.1(Mach 2008), Article 1, 30 pages

  61. Rile Hu, Chengqing Zong, and Bo Xu. An Approach to Automatic Acquisition of Translation Templates Based on Phrase Structure Extraction and Alignment. IEEE Transactions on Audio, Speech, and Language Processing (TASLP). Vol. 14, No.5, September, 2006

  62. Chengqing Zong and Mark Seligman. Toward Practical Spoken Language Translation. Machine Translation, 19(2): 113-137. June, 2005

 ◆ International Conference Papers

  1. Donglei Yu, Yang Zhao, Yangyifan Xu, Yu Zhou, Chengqing Zong. SimulPL: Aligning Human Preferences in Simultaneous Machine Translation. To appear in the International Conference on Learning Representations (ICLR).

  2. Wen Yang, Junhong Wu, Cheng Wang, Chengqing Zong, Jiajun Zong. Language Imbalance Driven Rewarding for Multilingual Self-improving. To appear in the International Conference on Learning Representations (ICLR).

  3. Junnan Zhu, Min Xiao, Yining Wang, Feifei Zhai, Yu Zhou, Chengqing Zong. TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 11755–11771.

  4. Chong Li, Jiajun Zhang, Chengqing Zong. TokAlign: Efficient Vocabulary Adaptation via Token Alignment. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 4109–4126.

  5. Yupu Liang, Yaping Zhang, Zhiyang Zhang, Yang Zhao, Lu Xiang, Chengqing Zong, Yu Zhou. Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 12391–12408.

  6. Yupu Liang, Yaping Zhang, Zhiyang Zhang, Zhiyuan Chen, Yang Zhao, Lu Xiang, Chengqing Zong, Yu Zhou. Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 23659–23678.

  7. Chong Li, Yingzhuo Deng, Jiajun Zhang, Chengqing Zong. Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model. In Findings of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 1730–1754.

  8. Wen Yang, Junhong Wu, Chen Wang, Chengqing Zong, Jiajun Zhang. Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment. In Findings of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 21125–21147.

  9. Junhong Wu, Yang Zhao, Yangyifan Xu, Bing Liu, Chengqing Zong. Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation. In Findings of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 12217–12236.

  10. Zhiyang Zhang, Yaping Zhang, Yupu Liang, Zhiyuan Chen, Lu Xiang, Yang Zhao, Yu Zhou, Chengqing Zong. A Query-Response Framework for Whole-Page Complex-Layout Document Image Translation with Relevant Regional Concentration. In Findings of the Association for Computational Linguistics (ACL), July 27–August 1, 2025, Vienna, Austria, pp. 7138–7149.

  11. Yunhao Zhang, Nan Lin, Chengqing Zong, Shaonan Wang. Discovering Semantic Subdimensions through Disentangled Conceptual Representations. In Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 5–9, 2025, Suzhou, China.

  12. Jing Ye, Lu Xiang, Yaping Zhang, Chengqing Zong. From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment. In Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 5–9, 2025, Suzhou, China.

  13. Yaping Zhang, Yupu Liang, Zhiyang Zhang, Zhiyuan Chen, Lu Xiang, Yang Zhao, Yu Zhou, Chengqing Zong. ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts. In Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), Sept. 17, 2025, Wuhan, China.

  14. Shubei Tang, Lu Xiang, Yaping Zhang, Chengqing Zong. EmoDial-Reason: Unveiling Affective Reasoning in Speech-Emotion Dialogue. In Proceedings of the 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2025), Shanghai, October 15–18, 2025.

  15. Zhiyuan Chen, Yaping Zhang, Zhiyang Zhang, Yupu Liang , Yue Xu, Yunfei Lu, Dandan Tu, Chengqing Zong and Yu Zhou. Boosting Document Image Translation via Layout-aware Semantic Paragraph Clustering. In Proceedings of the 8th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2025), Shanghai, October 15–18, 2025.

  16. Boyu Guan, Yining Zhang, Yang Zhao, Chengqing Zong. TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags. In Proceedings of the 31st International Conference on Computational Linguistics(COLING-2025). Abu Dhabi, UAE. pages 8215–8231.

  17. Jing Ye, Lu Xiang, Yaping Zhang, Chengqing Zong. SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support Agent. In Proceedings of the 31st International Conference on Computational Linguistics(COLING-2025). Abu Dhabi, UAE. pages 4646–4669.

  18. Zhiyang Zhang, Yaping Zhang, Yupu Liang, Lu Xiang, Yang Zhao, Yu Zhou, Chengqing Zong. From Chaotic OCR Words to Coherent Document: A Fine-to-Coarse Zoom-Out Network for Complex-Layout Document Image Translation. In Proceedings of the 31st International Conference on Computational Linguistics(COLING-2025). Abu Dhabi, UAE. pages 10877–10890.

  19. Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong. Self-Modifying State Modeling for Simultaneous Machine Translation., In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL-2024). Bangkok, Thailand. pages 9781-9795.

  20. Chong Li, Wen Yang, Jiajun Zhang, Jinliang Lu, Shaonan Wang, Chengqing Zong. X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions., In Findings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL-2024, Findings). Bangkok, Thailand. pages 546-566.

  21. Chong Li, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment., In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT-2024). Mexico City, Mexico. pages 8058-8076.

  22. Yupu Liang, Yaping Zhang, Cong Ma, Zhiyang Zhang, Yang Zhao, Lu Xiang, Chengqing Zong, Yu Zhou. Document Image Machine Translation with Dynamic Multi-pre-trained Models Assembling., In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT-2024). Mexico City, Mexico. pages 7084-7095.

  23. Junhong Wu, Yuchen Liu, Chengqing Zong. F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation., In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT-2024). Mexico City, Mexico. pages 7180–7192.

  24. Xinpei Zhao, Jingyuan Sun, Shaonan Wang, Jing Ye, Xiaohan Zhang, and Chengqing Zong. MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities., In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT). Mexico City, Mexico. pages 3822–3832.

  25. Cong Ma, Yaping Zhang, Zhiyang Zhang, Yupu Liang, Yang Zhao, Yu Zhou, Chengqing Zong. Born a BabNet with Hierarchical Parental Supervision for End-to-End Text Image Machine Translation., In The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Torino ,Italia. pages 2468-2479.

  26. Cong Ma, Yaping Zhang, Yang Zhao, Yu Zhou, Chengqing Zong. Vector Quantization Knowledge Transfer for End-to-End Text Image Machine Translation., In The 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024). Banff, Alberta, Canada. pages 12471-12475.

  27. Rongchuan Tang, Yang Zhao, Chengqing Zong and Yu Zhou. Multilingual Knowledge Graph Completion with Language-Sensitive Multi-Graph Attention, In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 9-14, 2023, pages 10508–10519.

  28. Min Xiao, Junnan Zhu, Haitao Lin, Chengqing Zong and Yu Zhou. CFSum：A Coarse-to-Fine Contributions Network for Multimodal Summarization, In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 9-14, 2023, pages 8538–855.

  29. Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, Chengqing Zong. Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning., In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 6-10, 2023, Singapore, pages 16460–16476.

  30. Feihu Jin, Jiajun Zhang, and Chengqing Zong. Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients., TIn Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 6-10, 2023, Singapore, pages 321–330.

  31. Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong. CCIM: Cross-modal Cross- lingual Interactive Image Translation., In Findings of the Association for Computational Linguistics (EMNLP), Dec. 6-10, 2023, Singapore, pages 4959–4965.

  32. Zixuan Ren, YangZhao and Chengqing Zong. Towards Informative Open-ended Text Generation with Dynamic Knowledge Triples., In Findings of the Association for Computational Linguistics (EMNLP), Dec. 6-10, 2023, Singapore, pages 3189–3203.

  33. Zhiyang Zhang, Yaping Zhang, Yupu Liang, Lu Xiang, Yang Zhao, Yu Zhou, and Chengqing Zong. LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder., In Findings of the Association for Computational Linguistics (EMNLP), Dec. 6-10, 2023, Singapore, pages 10043–10053.

  34. Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong. E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation., In Proceedings of the 17th International Conference on Document Analysis and Recognition (ICDAR), August 21-26, 2023, California, USA, pages 70–88.

  35. Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong. Multi-teacher Knowledge Distillation for End-to-End Text Image Machine Translation., In Proceedings of the 17th International Conference on Document Analysis and Recognition (ICDAR), August 21-26, 2023, California, USA, pages 484–501.

  36. Xiaohan Zhang, Shaonan Wang, Nan Lin and Chengqing Zong. Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English. Conference on Empirical Methods in Natural Language Processing (EMNLP), December 7–11, 2022, Abu Dhabi. accepted

  37. Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang and Chengqing Zong. Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation. Conference on Empirical Methods in Natural Language Processing (EMNLP), December 7–11, 2022, Abu Dhabi. accepted

  38. Xiaohan Zhang, Shaonan Wang, and Chengqing Zong. How Does the Experimental Setting Affect the Conclusions of Neural Encoding Models? Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 6397–6404, Marseille, 20-25 June 2022.

  39. Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang, Chengqing Zong. Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. In Proceedings of the 2022 AAAI Conference on Artificial Intelligence, Virtual Conference. Feb. 22-Mar. 1, 2022(online).

  40. Jian Sun, Yu Zhou, Chengqing Zong. Learning to Select the Next Reasonable Mention for Entity Linking. AAAI Workshop on Knowledge Discovery from Unstructured Data in Financial Services 2022, Vancouver, Canada, February 22-March1, 2022(online).

  41. Shuxian Zou, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding. Findings of the Association for Computational Linguistics: ACL 2022, pages 648 - 657, May 22-27, 2022.

  42. Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)

  43. Xin Huang, Jiajun Zhang and Chengqing Zong. Entity-level Cross-modal Learning Improves Multi-modal Machine Translation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing(EMNLP), Punta Cana, Dominican Republic. Nov. 7-11, 2021, pages 1067–1080

  44. Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou,Jiajun Zhang, and Chengqing Zong. 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

  45. 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

  46. Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang and Chengqing Zong. Synchronous Interactive Decoding for Multilingual Neural Machine Translation. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), February 2-9, 2021, 35(14): 12981-12988.

  47. Xiangyu Wang and Chengqing Zong. Distributed Representations of Emotion Categories in Emotion Space. In Proceedings of 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), Bangkok, Thailand. August 1-6, 2021 (online), pp.2364--2375

  48. Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. INTERSPEECH 2021, Brno, Czechia. 30 August - 3 September 2021 (online), pp.4703-4707

  49. Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong and Xiaodong He. Keywords-Guided Abstractive Sentence Summarization. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA,  Feb. 7-12, 2020, pp. 8196-8203

  50. Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang and Chengqing Zong. Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA,  Feb. 7-12, 2020, pp. 8417-8424

  51. Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA, Feb. 7-12, 2020, pp. 9201-9208

  52. Yang Zhao, Jiajun Zhang, Yu Zhou and Chengqing Zong. Knowledge Graphs Enhanced Neural Machine Translation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, July 11-17, 2020, pp. 4039-4045

  53. Junnan Zhu, Yu Zhou, Jiajun Zhang, and Chengqing Zong. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), Online, July 5-July 10, 2020, pp. 1309-1321.

  54. Xiaomian Kang, Yang Zhao, Jiajun Zhang and Chengqing Zong. Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 16th – 20th, 2020, pp. 2242-2254

  55. Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou and Chengqing Zong, A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 16th – 20th, 2020,pp. 1-11, pp. 1490-1499

  56. Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou and Chengqing Zong. Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), December 8-13, 2020, pp. 4495–4505.

  57. Jian Sun, Yu Zhou, chengqing Zong. Dual Attention Network for Cross-lingual Entity Alignment. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), December 8-13, 2020, pp. 3190-3201

  58. Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. Distill and Replay for Continual Language Learning.In Proceedings of the 28th International Conference on Computational Linguistics(COLING 2020), Online, December 8-13, 2020, pp. 3569-3579

  59. Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He and Chengqing Zong. Multimodal Sentence Summarization via Multimodal Selective Encoding. In Proceedings of the 28th International Conference on Computational Linguistics(COLING 2020), Online, December 8-13, 2020, pp. 5655-5667

  60. Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, and Hua Wu. Addressing the Under-translation Problem from the Entropy Perspective. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27-February 1, 2019, pp.451-458

  61. Junjie Li, Haoran Li and Chengqing Zong. 2019. Towards Personalized Review Summarization via User-aware Sequence Network. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27th – February 1st, 2019,Vol. 33,  pp. 6690-6697

  62. Jingyuan Sun, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Towards Sentence-Level Brain Decoding with Distributed Representations. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27th – February 1st, 2019,Vol. 33,  pp. 7047-7054

  63. Long Zhou, Jiajun Zhang, Chengqing Zong, and Heng Yu. Sequence Generation: from Both Sides to the Middle. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019, pp.5471-5477

  64. Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li. Incremental Learning from Scratch for Task-Oriented Dialogue Systems. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28-August 2, 2019, pp.3710-3720

  65. Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong. A Compact and Language-Sensitive Multilingual Translation Method. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28th-August 2nd, 2019, pp.1213-1223

  66. He Bai, Yu Zhou, Jiajun Zhang and Chengqing Zong. Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28 - August 2, 2019, pp.5448-5453

  67. Junjie Li, Xuepeng Wang, Dawei Yin and Chengqing Zong. Attribute-aware Sequence Network for Review Summarization. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.2991-3001

  68. Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong and Zhifei Li. Are You for Real? Detecting Identity Fraud via Dialogue Interactions. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.1762-1771

  69. Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu and Chengqing Zong. Synchronously Generating Two Languages with Interactive Decoding. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.3341-3346

  70. Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, and Chengqing Zong. NCLS: Neural Cross-Lingual Summarization. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.3045-3055

  71. Yuchen Liu, Hao Xiong, Jiajun Zhang, Zhongjun He, Hua Wu, Haifeng Wang and Chengqing Zong. End-to-End Speech Translation with Knowledge Distillation. In Proceedings of the 20th Annual Conference of the International Speech Communication Association (Interspeech), Graz, Austria, September 15-19, 2019, pp.1128-1132

  72. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Associative Multichannel Autoencoder for Multimodal Word Representation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 116-124

  73. Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang and Chengqing Zong. MSMO: Multimodal Summarization with Multimodal Output. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 4154-4164

  74. Yining Wang, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong. Three Strategies to Improve One-to-Many Multilingual Translation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP), Brussels, Belgium, October 31st–November 4th, 2018,pp. 2955-2960

  75. Jingyuan Sun, Shaonan Wang and Chengqing Zong. Memory, Show the Way: Memory Based Few Shot Word Representation Learning. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 1435-1444

  76. Weikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li. A Teacher-Student Framework for Maintainable Dialog Manager. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 3803-3812

  77. Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong, and Hua Wu. Addressing troublesome words in neural machine translation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018,pp. 391-400

  78. Haoran Li, Jiajun Zhang and Chengqing Zong. Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.1430-1441

  79. Junjie Li, Haitong Yang and Chengqing Zong. Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp. 925-936

  80. Qianlong Du, Keh-Yih Su and Chengqing Zong. Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.414-425

  81. He Bai, Jiajun Zhang, Yu Zhou, Liang Zhao, Mei-Yuh Hwang and Chengqing Zong. Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.3597-3607

  82. Yang Zhao, Yining Wang, Jiajun Zhang and Chengqing Zong. Phrase Table as Recommendation Memory for Neural Machine Translation. In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)，Stockholm, Sweden, July 13-19, 2018,  pp. 4610-4615

  83. Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, and Chengqing Zong. Multi-modal Sentence Summarization with Modality Attention and Image Filtering. In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)，Stockholm, Sweden, July 13-19, 2018, pp. 4152-4158

  84. Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5964-5972

  85. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Multimodal Word Representation via Dynamic Fusion Methods. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5973-5980

  86. Long Zhou, Jiajun Zhang and Chengqing Zong. Look-ahead Attention for Generation in Neural Machine Translation. In Proceedings of the Sixth Conference On Natural Language Processing and Chinese Computing (NLPCC-2017)，Dalian, China, November, 8-12, 2017. (Best Paper Award)

  87. Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang and Chengqing Zong. Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-17), Copenhagen, Denmark. September 9-11, 2017, pp. 1103--1113

  88. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Exploiting Word Internal Structures for Generic Chinese Sentence Representation. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 9-11, 2017, pp. 298-303

  89. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Sentence Representation with Guidance of Human Attention. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 19-25, 2017 , pp. 4137-4143

  90. Long Zhou, Wenpeng Hu, Jiajun Zhang and Chengqing Zong. Neural System Combination for Machine Translation. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL2017),Vancouver, Canada, July 30-August 4, 2017, pp. 378-384.

  91. Huijia Wu, Jiajun Zhang and Chengqing Zong, A Dynamic Window Network for CCG Supertagging,  In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), California, USA, February 4–9, 2017, pages 3337-3343

  92. Yining Wang, Yang Zhao，Jiajun Zhang and Chengqing Zong. Towards Neural Machine Translation with Partially Aligned Corpora. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), Taipei, Taiwan, November 27 - December 1, 2017, pp. 384-393

  93. Huijia Wu, Jiajun Zhang and Chengqing Zong. An Empirical Exploration of Skip Connections for Sequential Tagging, In Proceedings of 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, December 11-16, 2016, pp.203-212

  94. Xiaoqing Li, Jiajun Zhang and Chengqing Zong. Towards Zero Unknown Word in Neural Machine Translation. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), New York, USA, July 12-15, 2016,  pp. 2852-2858

  95. Jiajun Zhang and Chengqing Zong. Exploiting Source-side Monolingual Data in Neural Machine Translation. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1535–1545, Austin, Texas, USA, November 1-5, 2016

  96. Yang Liu, Jiajun Zhang, Chengqing Zong, Yating Yang, and Xi Zhou. A Bilingual Discourse Corpus and Its Applications. In Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC), Portorož, Slovenia, 23-28 May 2016, pp. 1002-1007

  97. Xiaomian Kang, Haoran Li, Long Zhou, Jiajun Zhang and Chengqing Zong. An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition. In Proceedings of the Twentieth Conference on Computational Natural Language Learning: Shared Task (CoNLL). Berlin, Germany, August 11-12, 2016, pages 27-32

  98. Chuanhai Dong, Jiajun Zhang, Chengqing Zong, Masanori Hattori and Hui Di. Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition.. In Proceedings of The Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages(NLPCC-ICCPOL).December 2-6, 2016, Kunming, China，pp. 239–250, pages 27-32

  99. Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly. In Proceedings of  the 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 25 July - 1 August 2015. Pages 1163-1169

  100. Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), July 27-31, 2014, Quebec City, Canada. Pages 1657-1663

  101. Mei Tu, Yu Zhou and Chengqing Zong. Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), June 23 - 25, 2014, Baltimore, USA. Pages 850-860

  102. Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Bilingually-constrained Phrase Embeddings for Machine Translation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), June 23 - 25, 2014, Baltimore, USA. Pages 111-121

  103. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Derivation Structure Prediction for SMT. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL) (Short paper), June 23 - 25, 2014, Baltimore, USA. Pages 779-784

  104. Kun Wang, Chengqing Zong and Keh-Yih Su. Dynamically Integrating Cross-Domain Translation Memory into Phrase-Based Machine Translation during Decoding. In Proceedings of the 25th International Conference on Computational Linguistics (COLING), 23-29 August 2014, Dublin, Ireland. Pages 398-408

  105. Haitong Yang and Chengqing Zong. Multi-Predicate Semantic Role Labeling. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), October 25-29, 2014, Doha, Qatar. Pages 363-373

  106. Rui Xia, Xuelei Hu, Jianfeng Lu, Jian Yang, and Chengqing Zong. Instance Selection and Instance Weighting for Cross-domain Sentiment Classification via PU Learning. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), August 3-9, 2013, Beijing, China. Pages 2176-2182

  107. Jiajun Zhang and Chengqing Zong. Learning a Phrase-based Translation Model from Monolingual Data with Application to Domain Adaptation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August 4-9, 2013. Pages 1425-1436

  108. Kun Wang, Chengqing Zong and Keh-Yih Su. Integrating Translation Memory into Phrase-Based Machine Translation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August 4-9, 2013. Pages 11-21

  109. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Handling Ambiguities of Bilingual Predicate-Argument Structures for SMT. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August 4-9, 2013. Pages 1127-1136

    110.

  110. Mei Tu, Yu Zhou and Chengqing Zong. A Novel Translation Framework Based on Rhetorical Structure Theory. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL)(short paper), Sofia, Bulgaria, August 4-9, 2013. Pages 370-374

  111. Zhiguo Wang, Chengqing Zong and Nianwen Xue. A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL)(short paper), Sofia, Bulgaria, August 4-9, 2013. Pages 623-627

  112. Rui Xia, Tao Wang, Xuelei Hu, Shoushan Li and Chengqing Zong. Dual Training and Dual Prediction for Polarity Classification. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL) (short paper), Sofia, Bulgaria, August 4-9, 2013. Pages 521-525

  113. Xiaoqing Li, Kun Wang, Chengqing Zong and Keh-Yih Su. Integrating Surface and Abstract Features for Robust Cross-Domain Chinese Word Segmentation. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 8-15 December 2012. Pages 1653-1669

  114. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Machine Translation by Modeling Predicate Argument Structure Transformation. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 8-15 December 2012. Pages 3019-3036

  115. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Treebased Translation without Using Parse Trees. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 8-15 December 2012. Pages 3037-3054

  116. Jiajun Zhang, Feifei Zhai and Chengqing Zong. Handling Unknown Words in Statistical Machine Translation from a New Perspective. In Proceedings of the 1st Conference on Natural Language Processing and Chinese Computing (NLP&CC), Beijing, China. October 31-November 5, 2012. Pages 176-187 【Best Paper Award】

  117. Maoxi Li, Chengqing Zong and Hwee Tou Ng. Automatic Evaluation of Chinese Translation Output: Word-Level or Character-Level? In Proceedings of ACL-HLT (short paper), June 18-21, 2011. Oregon, USA

  118. Jiajun Zhang, Feifei Zhai and Chengqing Zong. Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), July 27-29, 2011, Edinburgh, UK

  119. Rui Xia and Chengqing Zong. A POS-based Ensemble Model for Cross-domain Sentiment Classification. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Shangri-La Hotel, Chiang Mai, Thailand, November 8-13, 2011

  120. Yufeng Chen and Chengqing Zong. A Semantic-Specific Model for Chinese Named Entity Translation. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Shangri-La Hotel, Chiang Mai, Thailand, November 8-13, 2011

  121. Zhiguo Wang and Chengqing Zong. Parse Reranking Based on Higher-Order Lexical Dependencies. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Shangri-La Hotel, Chiang Mai, Thailand, November 8-13, 2011

  122. Feifei Zhai, Jiajun Zhang and Chengqing Zong. Simple but Effective Approaches to Improving Tree-to-Tree Model. In Proceedings of the Machine Translation Summit XIII (MT Summit), Xiamen, China, September 19-23, 2011

  123. Yufeng Chen, Chengqing Zong and Keh-Yih Su. On Jointly Recognizing and Aligning Bilingual Named Entities. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL), Uppsala, Sweden, July 11–16, 2010. Pages 631-639

  124. Zhiguo Wang and Chengqing Zong. Phrase Structure Parsing with Dependency Structure. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), Beijing, China, August 23-27, 2010. Pages 1292 -1300

  125. Rui Xia and Chengqing Zong. Exploring the Use of Word Relation Features for Sentiment Classification. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), Beijing, China, August 23-27, 2010. Pages 1336 -1344

  126. Kun Wang, Chengqing Zong, and Keh-Yih Su. A Character-Based Joint Model for Chinese Word Segmentation. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), Beijing, China, August 23-27, 2010. Pages 1173-1181

  127. Yanqing He, Yu Zhou, Chengqing Zong and Huilin Wang. A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation.  In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), Beijing, China, August 23-27, 2010. Pages 447-455

  128. Tao Zhuang and Chengqing Zong. Joint Inference for Bilingual Semantic Role Labeling. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), MIT, Massachusetts, USA, October 9-11, 2010. Pages 304-314

  129. Keyan Zhou, Aijun Li, Zhigang Yin and Chengqing Zong. CASIA-CASSIL: a Chinese Telephone Conversation Corpus in Real Scenarios with Multi-leveled Annotation. In Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC), Malta, May 19-21, 2010. Pages 2407-2413

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  Professional Activities

  

◆ Official Positions in Scientific Associations/Universities

  • President of the Association for Computational Linguistics (ACL), 2025 (https://www.aclweb.org/portal/about)

  • Vice President of the Association for Computational Linguistics (ACL), 2024 (https://www.aclweb.org/portal/about)

  • Vice President-elect of the Association for Computational Linguistics (ACL), 2023 (https://www.aclweb.org/portal/about)

  • Member of International Committee on Computational Linguistics (ICCL: https://ufal.mff.cuni.cz/iccl/), January, 2013 - present

  • Chair, SIGHAN , January, 2014 - December, 2015

  • Vice-Chair/ Chair-Elect, SIGHAN , December, 2011 - December, 2013

  • Information Officer, SIGHAN, August, 2009 - December, 2011

  • President, Asian Federation of Natural Language Processing (AFNLP) (http://www.afnlp.org/), 2019 - 2021

  • Vice President, Asian Federation of Natural Language Processing (AFNLP) (http://www.afnlp.org/), January 2017 - December 2018

  • Secretary General, Asian Federation of Natural Language Processing (AFNLP) (http://www.afnlp.org/), January 2015 - December 2016

  • Executive Member, Asian Federation of Natural Language Processing (AFNLP), January, 2008 - December, 2012

  • Member of Technical Committee of Human-Computer Interaction (TC-13), International Federation for Information Processing (IFIP: http://www.ifip.org/), August, 2005 - August, 2007

  • Adjunct Professor at the Chinese University of Hong Kong (Shenzhen), August 9, 2021 – present

  • Adjunct Professor at the University of Chinese Academy of Sciences, July 2014 - present

◆ Editorial Services

◆ Leadership Positions in International Conferences and Workshops

  • General Chair of the joint conference of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP), Bangkok, Thailand, August 1-6, 2021

  • Program Committee Co-Chair of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, 13-19 September 2020

  • Area chair of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA， Feb 7-12, 2020

  • Area chair of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, January 27 – February 1, 2019

  • General Co-Chair, The Seventh CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), Hohhot, China, August 26-30, 2018

  • Area Chair of the 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence (ECAI),Stockholm, Sweden, July 13-19, 2018

  • Area Chair of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 19-25, 2017

  • Conference Chair of the 8th International Joint Conference on Natural Language Processing (IJCNLP), Taipei, Nov.27-Dec.1, 2017

  • Sponsorship Co-Chair of the 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, December 11-16, 2016

  • Program Committee Co-chair of the 53rd ACL and the 7th IJCNLP, Beijing, China, July 26 - 31, 2015

  • Scientific Advisory Board Member, The 25th International Conference on Computational Linguistics (COLING), Dublin, Ireland, August 23 - 29, 2014

  • Program Committee Chair, The 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), Shenzhen, China, December 5 - 9, 2014

  • General Chair, The 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP-2014), Wuhan, China, October 20 - 21, 2014

  • Publicity Co-Chair for IJCNLP’2013, Nagoya, Japan, October 14 - 19, 2013

  • Steering Committee Member of the 7th SIGHAN Workshop on Chinese Language Processing (SIGHAN-7) at IJCNLP’2013,  Nagoya, Japan, October 14th, 2013

  • Technical Program Co-Chair of IWSLT, Hong Kong, December 6 - 7, 2012

  • Technical Program Co-Chair of the 3rd Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (APSIPA ASC 2011), Xi'an, China, October 19 - 21, 2011

  • General Co-Chair of the 2nd IEEE International Workshop on Web Information Processing (IWWIP’2011),  Guilin, China, July 11 - 12, 2011

  • Organization Committee Co-Chair, The 23rd International Conference on Computational Linguistics (COLING), Beijing, China, August 23 - 27, 2010

  • Steering Committee Co-Chair, The 1st International Conference on Web Information Processing (ICWIP 2010), Tsing Tao, China, July 12 - 13, 2010

  • Tutorial Co-Chair of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), and the International Joint Conference on Natural Language Processing (IJCNLP), Singapore, August 2 - 7, 2009

  • Program Committee Co-Chair of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, October 19 - 22, 2008

  • Program Committee Co-Chair of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, August 30 - September 1, 2007

  • Program Committee Co-Chair of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Wuhan, China, October 30 - November 1, 2005

  • Speech Area Co-Chair of the First International Joint Conference on Natural Language Processing (IJCNLP), Sanya, China, March 22 - 24, 2004

  • Program Committee Co-Chair of 2003 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, October 26 - 29, 2003

◆ Conference Program Committee Member / Reviewer

  • ACL 2008, 2012, 2014. 2017, 2018, 2019, 2022

  • COLING 2008, 2012, 2016, 2018, 2019, 2022

  • EMNLP 2010, 2012, 2013, 2014, 2016, 2017, 2018, 2019

  • IJCAI 2013(SPC), 2015(SPC)

  • AAAI 2017(SPC), 2018(SPC)

  • LREC 2010, 2012, 2014, 2016, 2018

  • ICML 2019

  • CoNLL 2019

  • WWW 2015, 2016, 2018, 2019

  • CIKM 2016

  • EACL 2014

  • IJCNLP 2011, 2019

  • NAACL 2010, 2012, 2013, 2015(-HLT), 2016(-HLT), 2018(-HLT)

  • MT Summit 2011

  • NLP-KE 2009, 2011, 2012

  • PACLIC 2009, 2010, 2011, 2012, 2013, 2014

  • IWSLT 2005, 2006, 2008, 2009, 2010

  • IALP 2009, 2010, 2011, 2012

  • CLP (CIPS-SIGHAN Joint Conference on Chinese Language Processing) 2010

  • PRICAI (Pacific Rim International Conference on Artificial Intelligence) 2008, 2010

  • IWP (International Workshop of Paraphrasing) 2003, 2005

  • CLIA (Computational Linguistics and the Information Need of Multilingual Societies) 2010, 2011

  • ICCC (the International Conference on Chinese Computing) 2005, 2007

  • WCICA (World Congress on Intelligent Control and Automation) 2008
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  Awards and Honours

  

  • Foreign Member of Academia Europaea, 2025

  • IEEE Fellow, 2022

  • The Asia-Pacific Artificial Intelligence Association (AAIA) Fellow, 2022

  • Fellow of the Association for Computational Linguistics (ACL Fellow), 2021

  • The First Prize of Beijing Science and Technology Award, 2021

  • Fellow of the China Computer Federation (CCF), 2020

  • Fellow of the Chinese Association for Artificial Intelligence (CAAI), 2019

  • The outstanding supervisor prize of the Chinese Academy of Sciences, 2018

  • The honorary title of outstanding teacher, awarded by the Beijing Municipal Government, 2017

  • Best Paper Award for the paper titled “Look-ahead Attention for Generation in Neural Machine Translation” at the Sixth Conference on Natural Language Processing and Chinese Computing (NLPCC), Dalian, China, November 8-12, 2017

  • The Second Prize of the State Scientific and Technological Progress Award of China, 2015

  • Qian Wei-Chang Prize for the Science and Technology of Chinese Information Processing, awarded by the Chinese Information Processing Society of China, 2014

  • Science and Technology Progress Award of the Chinese Institute of Electronics of China, 2014

  • Special allowance awarded by the State Council of China, 2012

  • Best Paper Award for the paper titled “Handling Unknown Words in Statistical Machine Translation from a New Perspective” at the First CCF Conference on Natural Language Processing and Chinese Computing (NLP&CC), Beijing, China, November 4, 2012 (Only this paper won this award at this conference.)

  • Zhuli Yuehua Outstanding Teacher Award, Chinese Academy of Sciences, 2010

  • Best Paper Award for the paper titled “A Framework for Effectively Integrating Hard and Soft Syntactic Rules into Phrase-Based Translation” at the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC 23), Hong Kong, 3-5 December 2009 (Only two papers were honored at this conference.)

  • Award of Outstanding Contribution to Teaching Courses, Graduate University, Chinese Academy of Sciences, 2008

  • K. C. Wong Post-doctoral Research Award Fund, Chinese Academy of Sciences, 1998

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  Invited Presentations

  

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  Teaching Courses

  

  • Natural Language Processing, for undergraduates majoring in artificial intelligence in the University of Chinese Academy of Sciences, every autumn semester from 2023 to present

  • Natural Language Processing, for undergraduates majoring in computer science in the University of Chinese Academy of Sciences, every spring semester from 2017 to present

  • Natural Language Processing, for postgraduates majoring in artificial intelligence in the University of Chinese Academy of Sciences, every autumn semester from 2020 to present

  • Text Data Mining, for graduate students in the University of Chinese Academy of Sciences. Every spring semester from 2016 to July 2021

  • Natural Language Understanding, for graduate students in the University of Chinese Academy of Sciences, every spring semester from 2004 to 2019.

  • Principles and Techniques of Computer Compilation, for undergraduate students at the Department of Computer Engineering, Shandong University of Technology, Autumn semester, 1992,  Autumn semester, 1993, Autumn semester, 1994

  • Discrete Mathematics, for undergraduate students at the Department of Computer Engineering, Shandong University of Technology, Spring semester, 1992

  • C Language Programming, for undergraduate students at the Department of Computer Engineering, Shandong University of Technology, Autumn semester, 1991

  • Principles of Database System, for undergraduate students at the Department of Computer Engineering, Shandong University of Technology, Autumn semester, 1990

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If you have any suggestion, please contact zlu@nlpr.ia.ac.cn