◆ 专著、译著

1. Chengqing Zong, Rui Xia, Jiajun Zhang. Text Data Mining. Springer Singapore, 2021. ISBN 978-981-16-0100-2 【https://www.springer.com/gp/book/9789811600999】

2. 宗成庆，夏睿，张家俊，文本数据挖掘(第2版)，清华大学出版社, 2022.12 [封面]

3. 宗成庆，夏睿，张家俊，文本数据挖掘，清华大学出版社，2019.5 [简介] 【第1次印刷的勘误表】

4. 宗成庆，统计自然语言处理(第2版)，清华大学出版社, 2013.8 [内容简介](已被17次印刷)

5. 宗成庆，统计自然语言处理(第1版)，清华大学出版社, 2008.5 [内容简介](共4次印刷，累计发行5700册)

6. 张家俊，赵阳，宗成庆(译)，神经机器翻译，(原著：Philipp Koehn, Neural Machine Translation), 机械工业出版社, 2022.3 [封面]

7. 宗成庆、张霄军(译)，统计机器翻译 (原著：Philipp Koehn, Statistical Machine Translation), 电子工业出版社, 2012.9 [封面 ]

    ◆ 论文

1. 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, https://doi.org/10.1038/s41597-022-01840-2

2. 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

3. 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.

4. 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)

5. 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

6. 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. DOI: 10.26599/TST.2022.9010007

7. 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.

8. 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

9. 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

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

11. 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.

12. 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.

13. 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.

14. 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).

15. 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).

16. 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.

17. 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)

18. 王少楠，丁鼐，林楠，张家俊，宗成庆, 语言认知与语言计算–人与机器的语言理解, 中国科学: 信息科学, 2022, 52(10): 1748-1774

19. 刘宇宸，宗成庆, 跨模态信息融合的端到端语音翻译, 软件学报 (DOI：10.13328/j.cnki.jos.006413)

20. 亢晓勉, 宗成庆, 基于篇章结构多任务学习的神经机器翻译, 软件学报, 2022, 33(10): 3806-3818

21. 黄鑫，张家俊，宗成庆, 基于跨模态实体信息融合的神经机器翻译方法, 自动化学报，2023, 49(1): 1−11 doi: 10.16383/j.aas.c220230

22. 向露, 周玉, 宗成庆. 基于中英文单语术语库的双语术语对齐方法[J]. 中国科技术语, 2022, 24(1):12，pp.14-25.

1. Mei Li, Lu Xiang, Xiaomian Kang, Yang Zhao, Yu Zhou and Cchengqing 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, doi: 10.1109/TASLP.2021.3122301.

2. 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.

3. 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.

4. Xiangyu Wang and Chengqing Zong. Distributed Representations of Emotion Categories in Emotion Space. 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

5. 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

6. 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

7. 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

8. 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

9. Shuxian Zou, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Towards Brain-to-Text Generation: Neural Decoding with Pre-trained Encoder-Decoder Models. NeurIPS 2021 AI for Science Workshop. December 6 - 14, 2021(online).

10. 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.

11. 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, 已录用.

1. 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.

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

3. 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

4. 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.

5. 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

6. 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

7. 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

8. Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong and Changliang Li. Multimodal Summarization with Guidance of Multimodal Reference. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA,  Feb. 7-12, 2020, pp. 9749-9756

9. 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

10. 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.

11. 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

12. 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

13. 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.

14. 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

15. 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

16. 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

17. Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang and Chengqing Zong, Touch Editing: A Flexible One-Time Interaction Approach for Translation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP), December 4–7, 2020,  pp. 1-11

18. 宗成庆， 人类语言技术展望， 中国人工智能学会通讯，2020年第10卷第1期，第1-5页

19. 杜倩龙，宗成庆，苏克毅， 利用上下文相似度增强词对齐效果的自然语言推理方法， 智能科学与技术学报，2020, 2(1): 26-35

20. 亢晓勉，宗成庆，融合篇章结构位置编码的神经机器翻译， 智能科学与技术学报，2020, 2(2): 144-152

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

2. 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.

3. 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

4. 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, 22pages, January2019

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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.

1. 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.

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. Yang Zhao, Yining Wang, Jiajun Zhang and Chengqing Zong. Phrase Table as Recommendation Memory for Neural Machine Translation, 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

14. 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

15. 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

16. 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

17. Yuchen Liu, Long Zhou, Yining Wang, Yang Zhao, Jiajun Zhang and Chengqing Zong. A Comparable Study on Model Averaging, Ensembling and Reranking in NMT. In Proceedings of the Seventh Conference On Natural Language Processing and Chinese Computing (NLPCC-2018)，Hohhot, China, August, 26-30, 2018, pp. 299-308

18. Jinghui Yan, Jiajun Zhang, Jinan Xu and Chengqing Zong, The Impact of Named Entity Translation for Neural Machine Translation, In Proceedings of China Workshop on Machine Translation CWMT. 2018, October 25-26, 2018, Wuyishan, China

19. Xiaoqing Li, Jinghui Yan, Jiajun Zhang and Chengqing Zong, Neural Name Translation Improves Neural Machine Translation, In Proceedings of China Workshop on Machine Translation CWMT 2018, October 25-26, 2018, Wuyishan, China

20. 李俊杰，宗成庆.融合用户信息和评价对象信息的文本情感分类. 厦门大学学报（自然科学版），2018，57(6)：876-883.

21. 刘宇宸，闫璟辉，张家俊，宗成庆. 第十四届机器翻译研讨会中科院自动化所技术报告. 2018. 第十四届全国机器翻译研讨会论文集.

1. 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.

2. 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.

3. 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

4. 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

5. 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

6. 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

7. 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.

8. 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)

9. Junnan Zhu, Long Zhou, Haoran Li, Jiajun Zhang, Yu Zhou and Chengqing Zong. Augmenting Neural Sentence Summarization through Extractive Summarization. In Proceedings of the 6th Conference on Natural Language Processing and Chinese Computing (NLPCC-2017), Dalian, China, November 8-12, 2017.

10. 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

11. Yang Zhao, Yining Wang, Jiajun Zhang and Chengqing Zong. Cost-aware Learning Rate for Neural Machine Translation. In Proceedings of the Sixteenth China National Conference on Computational Linguistics, (CCL 2017), Nanjing, China, October 13-15, 2017

12. Chuanhai Dong, Huijia Wu, Jiajun Zhang and Chengqing Zong.Multichannel LSTM-CRF for Named Entity Recognition in Chinese Social Media.In Proceedings of the Sixteenth China National Conference on Computational Linguistics, (CCL 2017), Nanjing, China, October 13-15, 2017, pp.197-208

13. Yang Liu, Jiajun Zhang and Chengqing Zong. Memory Augmented Attention Model for Chinese Implicit Discourse Relation Recognition. In Proceedings of the Sixteenth China National Conference on Computational Linguistics, (CCL 2017), Nanjing, China, October 13-15, 2017, pp. 411-423

14. 周龙，王亦宁，赵阳，张家俊，宗成庆. 第十三届机器翻译研讨会中科院自动化所技术报告. 2017. 第十三届全国机器翻译研讨会论文集.

1. 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, 2016, 24(10): 1842-1853

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

3. 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

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

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

6. 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 (CoNLL): Shared Task. Berlin, Germany, August 11-12, 2016, pages 27-32

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

8. Qianlong Du, Chengqing Zong and Keh-Yih Su. Intergrating Structural Context and Local Context for Disambiguating Word Senses. 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 2016)，Kunming, China, December 2-6, 2016, pp. 3-15

9. 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

10. Junjie Li, Haitong Yang and Chengqing Zong. Sentiment Classification of Social Media Text Considering User Attributes. In Priceedings of the Fifth Conference On Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference On Computer Processing of Oriental Languages(NLPCC-ICCPOL 2016)，Kunming, China, December 2-6, 2016,pp.583-594

11. Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT. 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 2016).pp.103-115

12. Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. MinKSR: Learning from User Feedback for Machine Translation in Real-Time. 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 2016), pp.595-607

13. Haoran Li, Jiajun Zhang, Yu Zhou and Chengqing Zong. GuideRank: A Guided Ranking Graph Model for Multilingual Multi-document Summarization. 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 2016), Kunming, China, December 2-6, 2016, pp. 608-620

14. Haoran Li, Jiajun Zhang, Yu Zhou and Chengqing Zong. Predicting Implicit Discourse Relation with Multi-view Modeling and Effective Representation Learning. 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 2016), Kunming, China, December 2-6, 2016, pp.374-386

15. 宗成庆，中文信息处理研究现状分析，语言战略研究，2016年第6期，第19-26页

16. 王少楠，宗成庆. 一种基于双通道LDA模型的汉语词义表示与归纳方法. 计算机学报，2016年8月，第39卷，第8期，第1652-1666页

17. 吴惠甲，张家俊，宗成庆. 基于神经语言模型的范畴标注方法. 软件学报，2016年11月，第27卷，第11期，第2691-2700页

1. 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

2. 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 (ASLP), Vol. 23, No.11, November 2015, pp.1847-1857

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

4. 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

5. 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

6. 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

7. 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

8. 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, pp. 1163-1169

9. Haoran Li, Jiajun Zhang, and Chengqing Zong. Predicting Implicit Discourse Relations with Purely Distributed Representations. In Proceedings of the joint conference of the Fourteenth China National Conference on Computational Linguistics (CCL) and the Third International Symposium on Natural Language Processing based on Naturally Annotated Big Data (NLP-NABD), Guangzhou, China, Nov. 13-14, 2015, pp.293-305

10. 汪昆，宗成庆，苏克毅，统计机器翻译和翻译记忆的动态融合方法研究，中文信息学报，2015年3月，第29卷，第2期，第87-94页

11. 张志琳，宗成庆，基于多样化特征的中文微博情感分类方法研究，中文信息学报，2015年7月，第29卷，第4期，第134-143页

1. 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

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

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

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

5. 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 25^th International Conference on Computational Linguistics (COLING), 23-29 August 2014, Dublin, Ireland. Pages 398-408

6. 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

7. Haitong Yang and Chengqing Zong. A Global Generative Model for Chinese Semantic Role Labeling. In Proceedings of the 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), December 8-9, 2014, Shenzhen, China, Pages 1-12

8. Junjie Li and Chengqing Zong. Sentiment Classification of Chinese Contrast Sentences. In Proceedings of the 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), December 8-9, 2014, Shenzhen, China, Pages 205-216

1. 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

2. 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

3. 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

4. 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

5. 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

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

7. 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

8. 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

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

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

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

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

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

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

15. Zhiguo Wang and Chengqing Zong. Bidirectional Sequence Labeling via Dual Decomposition. In Proceedings of the 12th China National Conference on Computational Linguistics(CNCCL), 10-12 October 2013, SuZhou, China. Pages 325–332.

16. Xiaoqing Li, Chengqing Zong and Keh-Yih Su. A Study of the Effectiveness of Suffixes for Chinese Word Segmentation. In Proceedings of the 27^th Pacific Asia Conference on Language, Information, and Computation (PACLIC 27), November 22-24, 2013, Taipei, China. Pages 118-125

17. Lu Xiang, Yu Zhou and Chengqing Zong. An Efficient Framework to Extract Parallel Units from Comparable Data. In Proceedings of CCF Conference on Natural Language Processing & Chinese Computing, Nov.15-19,2013, Chongqing, China. Pages 151–163

18. 杜金华，张萌，宗成庆，孙乐，中国机器翻译研究的机遇与挑战－第八届全国机器翻译研讨会总结与展望，2013年7月，第27卷第4期，第1－8页

19. 涂眉，周玉，宗成庆. 基于最大熵的汉语篇章结构自动分析方法，自然语言处理与中文计算会议(NLP&CC), 重庆, 2013年11月11－19日

    & 2012年

1. 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, pages 7:1-7:41

2. 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

3. 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

4. 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

5. Jiajun Zhang and Chengqing Zong. A Comparative Study on Discontinuous Phrase Translation. In Proceedings of the 1st Conference on Natural Language Processing and Chinese Computing(NLP&CC), Beijing, China. October 31-November 5, 2012. Pages 164-175

6. 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】

7. Mei Tu, Yu Zhou and Chengqing Zong. A Universal Approach to Translating Numerical and Time Expressions. In Proceedings of International Workshop on Spoken Language Translation (IWSLT), 6-7 December 2012, Hong Kong. Pages 209-216

8. 王志国，宗成庆， 一个基于高阶词汇依存特征的短语结构分析树重排序模型， 软件学报，23(10):2628−2642，2012

    & 2011年

1. Rui Xia, Chengqing Zong, and Shoushan Li. Ensemble of feature sets and classification algorithms for sentiment classification. Information Sciences, 181(6): 1138-1152

2. Yu Zhou, Peng Liu and Chengqing Zong. Approaches to Improving Corpus Quality for Statistical Machine Translation. International Journal of Computer Processing of Oriental Languages (IJCPOL), Vol. 23, No. 4 (2011) 327–348

3. Yu Zhou, Feifei Zhai, Peng Liu and Chengqing Zong. A New Framework to Deal With OOV Words in SLT System. International Journal of Advanced Intelligence(IJAI), Volume 3, Number 2, July 2011. Pages 269-285

4. 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

5. 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. Pages 159-164

6. 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, Pages 204-215

7. 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, pages 614–622

8. 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, pages 138–146

9. 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, Pages 1251-1259

10. Feifei Zhai, Jiajun Zhang and Chengqing Zong. Simple but Effective Approaches to Improving Tree-to-Tree Model. Machine Translation Summit XIII, Xiamen, China, September 19-23, 2011. Pages 261-268

11. 陈钰枫，宗成庆，苏克毅， 汉英双语命名实体识别与对齐的交互式方法， 计算机学报，2011年9月，第34卷第9期，第1688－1696页

12. 夏睿，宗成庆， 情感文本分类混合模型及特征扩展策略， 智能系统学报，2011年12月，第6卷第6期，第483－488页

13. 翟飞飞，宗成庆， 口语对话中冗余词汇识别方法研究， 中文信息学报，2011年第25卷第3期，第104－111页

14. 周玉，翟飞飞，张家俊，涂眉，陈钰枫，宗成庆， 多语言文本机器翻译系统－中科院自动化所CWMT2011评测技术报告， 见：全国第七届机器翻译评测研讨会论文集，2011年9月23－24日，厦门

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    ²  2022年12月当选亚太人工智能学会会士（The Asia-Pacific Artificial Intelligence Association (AAIA) fellow）

    ²  2022年11月当选电气与电子工程师协会会士（IEEE Fellow）

    ²  2022年4月发明专利“一种汉英词语自动对齐方法”（授权专利号：ZL200810055783.8）荣获第23届中国专利优秀奖

    ²  2022年1月荣获中国科学院大学李佩教学名师奖

    ²  2022年1月当选国际计算语言学学会会士(ACL Fellow)

    ²  2021年11月荣获中国发明协会发明创业奖创新奖一等奖

    ²  2021年9月荣获北京市科学技术奖一等奖

    ²  2021年1月当选中国计算机学会会士（CCF Fellow）

    ²  2020年9月荣获中国科学院大学“领雁奖章-振翅奖”（银奖）

    ²  2019年11月荣获宝钢优秀教师奖

    ²  2019年10月当选中国人工智能学会会士（CAAI Fellow）

    ²  2019年9月荣获中国科学院优秀导师奖

    ²  2018年7月荣获中国科学院优秀导师奖

    ²  2017年9月被授予北京市优秀教师荣誉称号

    ²  2016年12月荣获中国科学院教育教学成果奖二等奖（独立获奖人）

    ²  2015年获国家科技进步奖二等奖（第三获奖人）

    ²  2014年12月荣获中国中文信息学会"钱伟长中文信息处理科学技术奖"一等奖（第一获奖人）

    ²  2014年12月荣获中国电子学会科技进步奖一等奖（第4获奖人，共15人）

    ²  2012年荣获国务院颁发的政府特殊津贴

    ²  2010年12月荣获中国科学院"朱李月华优秀教师"奖

    ²  2009年12月荣获第23届亚太地区语言、信息与计算国际会议(PACLIC)最佳论文奖

    ²  2008年5月荣获中国科学院研究生院集中教学突出贡献奖

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  ◆目前在读研究生

  ◆已经毕业的研究生（以毕业时间为序）:

    李    梅，博士，论文题目：《面向医疗场景的对话理解与生成方法研究》，2022.5

    孙    建，博士，论文题目：《知识图谱扩充方法研究》，2022.5

    向    露，博士，论文题目：《跨语言任务型对话系统构建方法研究》，2022.5

    王世宁，硕士，论文题目：《鲁棒的口语翻译方法研究》，2022.11

    刘思凯，硕士，论文题目：《面向口语理解的数据增强方法研究及实现》，2022.5

    江洲钰，硕士，论文题目：《面向中文社交媒体的命名实体识别方法研究》，2022.8

    杜倩龙，博士，论文题目：《融合多层次语言信息的文本蕴涵识别方法研究》，2020.11

    亢晓勉，博士，论文题目：《融合篇章信息的神经机器翻译方法》，2021.1

    刘宇宸，博士，论文题目：《跨模态信息融合的语音翻译方法研究》，2021.6

    孙静远，博士，论文题目：《基于分布式文本表示的神经编解码方法研究》，2021.6

    陈    思，硕士，论文题目：《中文电子病历命名实体识别方法研究和实现》，2021.6

       $ 2020年毕业生

    王唯康，博士，论文题目：《任务型对话系统中对话管理方法研究》，2020.6

    王亦宁，博士，论文题目：《 融合多语言信息的神经机器翻译方法研究》，2020.6

    周   龙，博士，论文题目：《 融合多源信息的神经机器翻译方法研究》，2020.6

    朱军楠，博士，论文题目：《 多源信息融合的自动摘要方法研究》，2020.6

    董传海，硕士，论文题目：《 基于神经网络的中文命名实体识别方法研究与实现》，2020.6

       $ 2019年毕业生

    赵    阳，博士，论文题目：《增强译文忠实度的神经机器翻译方法研究》，2019.6

    刘    洋，博士，论文题目：《篇章关系识别方法研究与应用》，2019.6

       $ 2018年毕业生

    王少楠，博士，论文题目：《文本向量表示方法研究》，2018.6

    李俊杰，博士，论文题目：《融合用户信息的文本情感分析方法研究》，2018.12

    李浩然，博士，论文题目：《基于多源信息的自动摘要方法研究》，2018.12

       $ 2017年毕业生

    黄国平，博士，论文题目：《人机交互式机器翻译方法研究与实现》，2017.6

    吴惠甲，博士，论文题目：《序列标注中的神经网络方法研究》，2017.6

       $ 2016年毕业生

    李小青，博士，论文题目：《神经网络机器翻译中的数据优化方法研究》，2016.12

    杨海彤，博士，论文题目：《融合多种谓词信息的语义角色标注方法研究》，2016.6

       $ 2015年毕业生

    涂    眉，博士，论文题目：《基于篇章分析的统计机器翻译方法研究》，2015.6

       $ 2014年毕业生

    翟飞飞，博士，论文题目：《基于语言结构知识的统计机器翻译方法研究》，2014.6

    向    露，硕士，论文题目：《基于网络的翻译知识自动获取方法研究与实现》，2014.6

    张志琳，硕士，论文题目：《汉语微博情感分析方法研究与实现》，2014.6

      $ 2013年毕业生

    汪    昆，博士，论文题目：《融合翻译记忆的统计机器翻译方法研究》，2013.6

    王志国，博士，论文题目：《基于依存关系的短语结构句法分析与词对齐方法研究及实现》，2013.6

       $ 2012年毕业生

    庄    涛，博士，论文题目：《鲁棒的语义角色标注方法研究》，2012.6

       $  2011年毕业生

    李茂西，博士，论文题目：《机器翻译系统融合方法研究与实现》，2011.6 

    夏    睿，博士，论文题目：《基于语言知识和集成学习的情感文本分类方法研究》，2011.6

    张家俊，博士，论文题目：《融合源语言句法知识的统计机器翻译方法研究》，2011.6

       $ 2010年毕业生

    吴晓锋，博士，论文题目：《文本自动摘要方法研究》，2010.11

    刘    鹏，博士，论文题目：《交互式口语翻译方法及相关问题研究》，2010.11

    鉴    萍，博士，论文题目：《依存句法分析方法研究与系统实现》，2010.6

    周可艳，博士，论文题目：《对话行为理解与口语翻译方法研究》，2010.6

       $ 2009年毕业生

    曹文洁，博士，论文题目：《融合语用、句法和韵律信息的自然语言生成建模研究及原型系统》，2009.9

    何彦青，博士，论文题目：《基于短语的统计翻译中短语对抽取方法和调序模型研究》，2009. 6

       $ 2008年毕业生

    陈钰枫，博士，论文题目：《汉英命名实体翻译及对齐方法研究》，2008. 6

    李寿山，博士，论文题目：《情感文本分类方法研究》，2008. 6

    方李成，硕士，论文题目：《基于层次短语的统计翻译引擎的设计与实现》，2008. 6

    周    玉，博士，论文题目：《面向统计机器翻译的双语对齐方法研究》，2008. 1

       $ 2007年毕业生

    柴春光，硕士，论文题目：《统计机器翻译解码器的设计与实现》，2007. 6

    徐    昉，硕士，论文题目：《基本名词短语识别的关键技术研究》，2007. 6

       $ 2005年毕业生

    胡日勒，博士，论文题目：《口语翻译知识自动获取方法研究》，2005. 7

    李    幸，硕士，论文题目：《汉语句法分析方法研究》，2005. 7

    左云存，硕士，论文题目：《口语解析与短语翻译对自动抽取方法研究》，2005. 7

       $ 2004年毕业生

    解国栋，博士，论文题目：《统计口语解析方法研究》，2004. 7

    陈克利，硕士，论文题目：《大规模平衡语料库的收集、分析及文本分类方法研究》，2004. 7

    刘    丁，硕士，论文题目：《汉语词与句子切分技术及机器翻译评估方法研究》，2004. 7

       $ 2003年毕业生

    张    艳，博士，论文题目：《汉语句法分析的理论、方法的研究及其应用》，2003. 7

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