个人信息

【教育及工作经历】1972年10月出生。教授，博士生导师，兼任工信部语言工程和认知计算重点实验室副主任。 2000年7月毕业于香港中文大学系统工程与工程管理系，获博士学位；2000年9月至2005年7月任澳大利亚分布式系统技术研究中心高级科学家；2005年9月至2008年10月任英国开放大学知识媒体研究所高级讲师，兼任科研副所长；2008年11月至2012年2月任英国罗伯特戈登大学威尼斯87978797讲席教授，兼任大学创新科技和可持续发展研究中心管委会委员；2012年3月至2018年2月任天津大学威尼斯87978797“天津市千人计划”特聘教授。2018年3月加入威尼斯87978797。

【教学科研工作】长期从事信息检索、自然语言处理及人工智能领域的研究工作，旨在构建符合人类信息推理和认知特点的多模态信息获取、交互和知识发掘理论与方法，特别是近年来，倡导和推动国际新兴的基于量子力学理论的探索式信息检索与交互模型研究。在英国全职任教期间，作为负责人主持英国国家工程及物理科学基金（EPSRC）、英国皇家学会、英国国家信息系统委员会（JISC）、 欧盟第六、第七框架和地平线2020项目12项。2012年回国后，主持国家自然科学基金重点和面上项目各1项，重点研发项目课题1项，参与国家973项目2项。已发表学术论文220余篇，其中包括ACM TOIS、IEEE TKDE、IEEE TNNLS、ACM TIST、JASIST等高水平SCI期刊论文以及AAAI、ACL、IJCAI、SIGIR、WWW等顶级国际会议论文100余篇。在国际评测会议TREC 2006的专家搜索任务中，其领导团队研发的专家搜索系统在大多数性能指标上均取得第一名。获得欧洲信息检索会议（ECIR2011）和国际信息检索理论会议（ICTIR2011）最佳论文奖，于2006年和2007年两次获得IBM创新成就奖。

科研方向

信息检索、自然语言处理、知识获取、人工智能、量子交互与认知

代表性学术成果

1. Zhuorui Liu, Chen Zhang, Dawei Song (2024). How Speculative Can Speculative Decoding Be? The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 20-25 May, 2024. In press. CCF B类

2. Chen Zhang, Yang Yang, Qiuchi Li, Jingang Wang, Dawei Song (2024). Task-agnostic Distillation of Encoder-Decoder Language Models. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 20-25 May, 2024. In press. CCF B类

3. Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Jing Qin, Qiuchi Li (2023). CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations. The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Datasets and Benchmarks Track. CCF A类, Link: https://papers.nips.cc/paper_files/paper/2023/hash/3be60b4a739b95a07a944a1a2c41e05e-Abstract-Datasets_and_Benchmarks.html

4. Zhang, Hanqing; Song, Haolin; Li, Shaoyu, Zhou, Ming; Song, Dawei (2023). A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models.  ACM Computing Surveys. Early Access (August 2023). JCR一区, DOI: https://doi.org/10.1145/3617680

5. Liu, Yaochen; Li, Qiuchi; Wang, Benyou; Zhang, Yazhou; Song, Dawei. (2023). A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models.  ACM Computing Surveys. 56(1), Article 15, pp. 1-37. JCR一区, DOI: https://doi.org/10.1145/3604550

6. Liu, Yaochen; Zhang, Yazhou; Song, Dawei (2023). A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis.  IEEE Transactions on Affective Computing. Early access (May 2023). JCR一区, DOI: https://doi.org/10.1109/TAFFC.2023.3279145

7. Zhang, Chen; Yang Yang; Liu, Jiahao; Wang, Jingang; Xian, Yunsen; Wang, Benyou; Song, Dawei (2023) Lifting the Curse of Capacity Gap in Distilling Language Models.  The 61st Annual Meeting of the Association for Computational Linguistics (ACL2023).  pp. 4535-4553. Toronto, Canada, July 2023. CCF A类, DOI: https://aclanthology.org/2023.acl-long.249

8. Zhang, Yazhou; Wang, Jinglin; Liu, Yaochen; Rong, Lu; Zheng, Qian; Song, Dawei; Tiwari, Prayag; Qin, Jing (2023). A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations.  Information Fusion , Vol. 93, pp. 282-301 (May 2023). JCR一区，DOI: https://doi.org/10.1016/j.inffus.2023.01.005

9. Zhang, Yazhou; Jia, Ao; Wang, Bo; Zhang, Peng; Zhao, Dongming; Li, Pu; Hou, Yuexian; Jin, Xiaojia; Song, Dawei; Qin, Jing (2023). M3GAT: A Multi-Modal Multi-Task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition.  ACM Transactions on Information Systems. Vol. 42(1), Article 13, pp. 1-32, August 2023. CCF A类, DOI: https://doi.org/10.1145/3593583

10. Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., et al. (2022). EEG based Emotion Recognition: A Tutorial and Review.  ACM Computing Surveys. Vol. 55(4), Article 79, pp. 1-51, April 2023. JCR一区, DOI: https://doi.org/10.1145/3524499

11. Zhang, H., Song, D. (2022). Towards Contrastive Context-Aware Conversational Emotion Recognition.  IEEE Transactions on Affective Computing. 13(4), 1879-1891, October 2022. JCR一区, DOI: https://doi.org/10.1109/TAFFC.2022.3212994

12. Zhang, P., Gao, H., Hu, Z., Yang, M., Song, D., Hou, Y., Hu, B. (2022). A bias–variance evaluation framework for information retrieval systems.  Information Processing and Management.  Vol 59(1), January 2022, 102747. JCR一区, DOI: https://doi.org/10.1016/j.ipm.2021.102747

13. Zhang, Peng; Hui, Wenjie; Wang, Benyou; Zhao, Donghao; Song, Dawei; Lioma, Christina; Simonsen, Jakob Grue (2022). Complex-valued Neural Network-based Quantum Language Models.  ACM Transactions on Information Systems. Vol. 40(4), pp. 84:1-84:31. March 2022. CCF A类, DOI: https://doi.org/10.1145/3505138

14. Zhang, B., Zhang, C., Song, D. (2022). Adaptable Text Matching via Meta-Weight Regulator. The 45th International  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022), pp. 870-879. 11-15 July 2022, Madrid, Spain. CCF A类, DOI: https://dl.acm.org/doi/10.1145/3477495.3531932

15. Chen Zhang, Lei Ren, Jingang Wang, Wei Wu and Dawei Song (2022). Making Pre-trained Language Models Good Long-tailed Learners.  The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022) , pp. 3298-3312. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.217

16. Yi Yang, Chen Zhang and Dawei Song (2022). Sparse Teachers Can Be Dense with Knowledge.  The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022) , pp. 3904-3915. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.258

17. Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan and Dawei Song (2022). XPrompt: Exploring the Extreme of Prompt Tuning.  The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022) , pp. 11033-11047. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.758

18. Hanqing Zhang and Dawei Song (2022). Controlled Text Generation via Discriminator Cooperative Unlikelihood Prompt Tuning.  The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022) , pp. 3392-3406. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.223

19. Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu and Dawei Song. Structural Bias for Aspect Sentiment Triplet Extraction.  The 2022 International Conference on Computational Linguistics (COLING2022) , pp. 6736-6745. Gyeongju, Republic of Korea, October 12-17, 2022. CCF B类, Link: https://aclanthology.org/2022.coling-1.585

20. Ao Jia, Yu He, Yazhou Zhang, Sagar Uprety, Dawei Song, Christina Lioma (2022). Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding.  The 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL2022) , pp. 1512-1522. Seattle, WA, United States, July 10-15, 2022. CCF B类, Link: https://aclanthology.org/2022.naacl-main.108

21. Zhang, Y., Liu, Y., Li, Q., Tiwari, P., Wang, B., Li, Y., Pandey, H.M., Zhang, P., Song, D., (2021) CFN: A Complex-valued Fuzzy Network for Sarcasm Detection in Conversations.  IEEE Transactions on Fuzzy Systems. Vol 29(12), pp. 3696-3710. December 2021. JCR一区，DOI: https://doi.org/10.1109/TFUZZ.2021.3072492

22. Zhang, Y., Song, D., Pandey, H. et al. (2021). Learning Interaction Dynamics with an Interactive-LSTM for Conversational Sentiment Analysis.  Neural Networks. Vol. 133, January 2021, pp. 40-56. JCR一区， DOI: https://doi.org/10.1016/j.neunet.2020.10.001

23. Gkoumas, D., Li, Q., Melucci, M., Yu, Y., Song, D. (2021). A Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis.  The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021) , Virtual Event, Feb 2-9, 2021. CCF A类, Link: https://arxiv.org/abs/2101.04406

24. Ma, F., Zhang, C., Song, D. (2021). Exploiting Position Bias for Robust Aspect Sentiment Classification.  Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL2021) , pp. 1352-1358. Bangkok, Thailand, August 1-6, 2021. Link: https://aclanthology.org/2021.findings-acl.116

25. Zhang, C, Li, Q., Hua, L., Song, D. (2021). How does Attention Affect the Model?  Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL2021) , pp. 256-268. Bangkok, Thailand, August 1-6, 2021. Link: https://aclanthology.org/2021.findings-acl.22

26. Liu, Y., Zhang, Y., Li, Q., Wang, B., Song, D. (2021). What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability.  Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021), pp. 871-880. 7-11 November 2021, Punta Cana, Dominican Republic. Link: https://aclanthology.org/2021.findings-emnlp.74

27. Zhang, Y., Song, D., Li, X., Zhang, P., Wang, P. Rong, L., Yu, G., Wang, B. (2020). A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis.  Information Fusion . Vol. 61, pp. 14-31, Oct. 2020. JCR一区，DOI: https://doi.org/10.1016/j.inffus.2020.04.003

28. Uprety, S, Gkoumas, D., Song, D. (2020). A Survey of Quantum Theory Inspired Approaches to Information Retrieval.  ACM Computing Surveys  . Vol 53(5), Article 98, September 2020. JCR一区，DOI: https://dl.acm.org/doi/10.1145/3402179

29. Gkoumas, D., Li, Q., Lioma, C., Yu, Y., Song, D. (2020). What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis.  Information Fusion,  Volume 66, 2021, pp. 184-197. JCR一区，DOI: https://doi.org/10.1016/j.inffus.2020.09.005

30. Li, X., Zhao, Z., Song, D., Zhang, Y., Pan, J., Wu, L., Huo, J., Niu, C. and Wang, D. (2020). Latent Factor Decoding of Multi-Channel EEG for Emotion Recognition Through Autoencoder-Like Neural Networks.  Frontiers in Neuroscience , Vol 14, Article 87, March 2020. JCR二区，DOI: https://doi.org/10.3389/fnins.2020.00087

31. Jiang, Y., Zhang, P., Gao, H., Song, D. (2020). A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. T he 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2020),  pp. 19-28. Virtual Event, China, July 25-30, 2020. CCF A类

32. Zhang, C., Li, Q., Hua, L., Song, D. (2020). Assessing the Memory Ability of Recurrent Neural Networks.  The 24th European Conference on Artificial Intelligence (ECAI2020) . pp. 1658-1665. 10-12 June 2020. Santiago de Compostela, Spain. CCF B类

33. Zhang, C., Li, Q., Song, D. (2019). Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks.  The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019) , pp. 4567-4577. 3-7 November 2019, Hong Kong, China. CCF B类

34. Zhang, Y., Li, Q., Song, D., Zhang, P., Wang, P. (2019). Quantum-inspired Interactive Networks for Conversational Sentiment Analysis.  The 28th International Joint Conference on Artificial Intelligence (IJCAI2019) , pp. 5436-5442. 10-16 August 2019, Macau, China. CCF A类

35. Ma, X., Zhang, P., Zhang, S., Duan, N., Zhou, M., Song, D. (2019). A Tensorized Transformer for Language Modeling.  Annual Conference on Neural Information Processing Systems 2019 (NeurIPS 2019) , pp. 2229-2239. 8-14 December 2019, Vancouver, BC, Canada. CCF A类

36. Zhang, L., Zhang, P., Ma, X., Gu, S., Su, Z., Song, D. (2019). A Generalized Language Model in Tensor Space.  The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) , pp. 7450-7458. January 27 – February 1, 2019, Honolulu, Hawaii, USA. CCF A类

37. Zhang, Y., Song, D., Zhang, P., Wang, P., Li, J., Wang, B. (2018). A Quantum-Inspired Multimodal Sentiment Analysis Framework.  Theoretical Computer Science . 752, pp. 21-40. CCF B类，DOI: https://doi.org/10.1016/j.tcs.2018.04.029

38. Zhang, P., Niu, J., Su, Z., Wang, B., Song, D. (2018). End-to-End Quantum-like Language Models with Application to Question Answering.  The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018) , pp. 5666-5673. 2-7 February 2018, New Orleans, USA. CCF A类

39. Zhang, P., Su, Z., Zhang, L., Wang, B., Song, D. (2018). A Quantum Many-body Wave Function Inspired Language Modeling Approach.  The 27^th ACM International Conference on Information and Knowledge Management (CIKM 2018) , pp. 1303-1312. 22-26 October 2018, Torino, Italy. CCF B类

40. Zhao, X., Hou, Y., Song, D., and Li, W. (2018) A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines.  IEEE Transactions on Neural Networks and Learning Systems (TNNLS).  29(5):1608-1621. JCR一区

41. Li, X., Song, D., Zhang, P., Zhang, Y., Hou, Y., Hu, B. (2018). Exploring EEG Features in Cross-subject Emotion Recognition.  Frontiers in Neuroscience. 12, article no. 162. SCI二区

42. Li, J., Wu, Y., Zhang, P., Song, D., and Wang, B. (2017). Learning to Diversify Web Search Results with a Document Repulsion Model.  Information Sciences. Vol. 411, pp. 136-150. JCR二区

43. Li, J., Zhang, P., Song, D., and Wu, Y. (2017). Understanding an Enriched Multidimensional User Relevance Model by Analyzing Query Logs.  Journal of the Association for Information Science and Technology (JASIST) . 68(12):2743–2754. CCF B类

44. Zhang, P., Yu, Q., Hou, Y., Song, D., Li, J., and Hu, B. (2017). A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval.  ACM Transactions on Intelligent Systems and Technology (TIST) . 8(3), article 46. JCR二区

45. Zhang, P., Li, J., Wang, B., Zhao, X., Song, D., Hou, Y., and Melucci, M. (2016). A Quantum Query Expansion Approach for Session Search.  Entropy , 18(4), article 146. JCR二区

46. Wang, B., Zhang, P., Li, J., Song, D., Hou, Y., and Shang, Z. (2016). Exploration of Quantum Interference in Document Relevance Judgment Discrepancy.  Entropy , 18(4), article 144. JCR二区

47. Li, J., Zhang, P., Song, D., and Hou, Y. (2016). An Adaptive Contextual Quantum Language Model.  Physica A: Statistical Mechanics and its Applications. Vol. 456, pp. 51-67. JCR二区

48. Zhang, P., Song, D., Wang, J. and Hou, Y. (2014). Bias-variance analysis in estimating true query model for information retrieval.  Information Processing & Management . 50(1), pp. 199–217. CCF B类

49. Clark, M., Ruthven, I., Holt, P., Song, D., and Watt, S. (2014). You Have E-Mail, What Happens Next? Tracking the Eyes for Genre.  Information Processing & Management . 50(1), pp. 175–198. CCF B类

50. Hou, Y., Zhao, X., Song, D., Li, W. (2013). Mining Pure High-order Word Associations via Information Geometry for Information Retrieval.  ACM Transactions on Information Systems (TOIS) . 31(3), pp. 12:1-12:32. CCF A类

51. Kruchwitz, U., Lungley, D., Albakour, M-D. and Song, D. (2013). Deriving query suggestions for site search.  Journal of American Society for Information Science and Technology (JASIST) . 64(10), pp. 1975–1994. CCF B类

52. Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, D., Dignum, S., Cervino Beresi, U., Fasli, M. and De Roeck, A. (2012). Automatically Structuring Domain Knowledge from Text: a review of current research.  Information Processing and Management (IP&M) . Vol. 48(3), pp. 552-568. CCF B类

53. Adeyanju, I., Song, D., De Roeck, A., Albakour, M-D., Kruschwitz, U. and Fasli, M. (2012). Adaptation of the Concept Hierarchy Model with Search Logs for Query Recommendation on Intranets. The 35th Annual International  ACM SIGIR Conference on Research and Development in Information Retrieval  (SIGIR2012) , pp. 5-14.12-16 August 2012, Portland, Oregon, USA. CCF A类

54. Wang, L., Song, D. and Elyan, E. (2012). Improving Bag-of-visual-Words model with spatial-temporal correlation for video retrieval. The 21st  ACM Conference on Information and Knowledge Management (CIKM2012) , pp. 1303-1312. 30 October - 1 November 2012, Hawaii, USA. CCF B类

55. Yan, X., Lau, R.Y.K, Song, D., Li, X. and Ma, J. (2011). Towards a Semantic Granularity Model for Domain Specific Information Retrieval.  ACM Transactions on Information Systems (TOIS) . Vol. 29 (3), pp. 15:1-15:46. CCF A类

56. Hou, Y., Zhang, P., Yan, T., Li, W. and Song, D. (2010). Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection.  IEEE Transactions on Knowledge and Data Engineering (TKDE). Vol. 22(3), pp. 348-364. CCF A类

57. Zhu, J., Huang, X., Song, D. and Rueger, S. (2010). Integrating Multiple Document Features in Language Models for Expert Finding.  Knowledge and Information Systems (KAIS). Vol. 23(1), pp. 29-54. CCF B类

58. Zhu, J., Song, D. and Rueger, S. (2009). Integrating Multiple Windows and Document Features for Expert Search.  Journal of American Society for Information Science and Technology (JASIST). Vol. 60(4), pp. 694-715. CCF B类

59. Zhang, P., Hou, Y. and Song, D. (2009). Approximating True Relevance Distribution from a Mixture Model Based on Irrelevance Data. The 32nd Annual International  ACM SIGIR Conference on Research and Development in Information Retrieval  (SIGIR2009) , pp. 107-114. 19-23 July 2009, Boston, USA. CCF A类

60. Lau, R.Y.K, Song, D., Li, Y., Cheung, T. and Hao, J. (2009). Towards A Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning.  IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 21(6), pp. 800-813. CCF A类

61. Lau, R.Y.K., Bruza, P.D. and Song, D. (2008). Towards a Belief Revision Based Adaptive and Context Sensitive Information Retrieval System.  ACM Transactions on Information Systems (TOIS). Vol. 26 (6), pp. 8:1-8:38. CCF A类

62. Yan, X., Song, D., and Li, X. (2006). Concept-based Document Readability in Domain Specific Information Retrieval. In Proceedings of  the ACM Fifteenth Conference on Information and Knowledge Management (CIKM2006) , pp. 540-549. 6-11 November 2006, Arlington, VA, USA. CCF B类

63. Bai, J., Song, D., Bruza, P.D., Nie, J.Y. and Cao, G. (2005). Query Expansion Using Term Relationships in Language Models for Information Retrieval. In Proceedings of the  14th International ACM Conference on Information and Knowledge Management (CIKM2005) , pp. 688-695. 31 October - 05 November, 2005, Bremen, Germany. CCF B类

64. Lau, R., Bruza, P.D. and Song, D. (2004). Belief Revision for Adaptive Information Retrieval. In Proceedings of the  27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (  SIGIR2004) , pp. 130-137. 25-29 July, 2004, Sheffield, United Kingdom. CCF A类

65. Song, D. and Bruza, P.D. (2003). Towards Context-sensitive Information Inference.  Journal of the American Society for Information Science and Technology (JASIST), Vol. 54(4), February 2003, pp. 321-334. CCF B类

66. Song, D. Bruza P.D. (2001). Discovering Information Flow Using a High Dimensional Conceptual Space. The 24th Annual International  ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR  2001) , pp. 327-333. 9-13 September 2001, New Orleans, Louisiana, USA. CCF A类

67. Wong, K.F., Song, D., Bruza, P.D. and Cheng, C.H. (2001). Application of Aboutness to Functional Benchmarking in Information Retrieval.  ACM Transactions on Information Systems (TOIS) , Vol. 19(4), October 2001, pp. 337-370. CCF A类

68. Bruza, P.D., Song, D. and Wong, K.F. (2000). Aboutness from a Commonsense Perspective.  Journal of the American Society for Information Science and Technology (JASIST),  Vol. 51(12), October 2000, pp. 1090-1105. CCF B类

承担科研情况

1. 国家自然科学基金面上项目：”面向社交媒体情感分析的多模态多属性交互建模及其在预训练模型下的融合方法研究“，62376027，负责人，2024-2027

2. 北京市自然科学基金“量子认知启发的上下文信息交互与决策模型及应用研究”，IS23061，负责人，2023-2025

3. 北京市自然科学基金“面向多模态情感分析的用户多元认知状态表示学习和决策融合理论与应用研究”，4222036，负责人，2022-2024

4. 华为终端有限公司“搜索场景下的自然语言处理技术研究”，负责人，2021-2022

5. 国家重点研发计划“智能司法公开关键技术研究”课题：基于司法公开信息资源有效融合的探索式搜索技术研究，2018YFC0831704，负责人，2019-2021

6. 国家自然科学基金通用技术基础联合基金重点项目：大数据和社会场景下的互动语言意图深度理解基础理论和关键技术研究，U1636203，负责人，2017-2020

7. 国家自然科学基金面上项目：融合用户、上下文和系统：基于量子理论的信息检索模型研究， 61272265，负责人，2013-2016

8. 973项目：基于生物、心理多模态信息的潜在抑郁风险预警理论与生物传感关键技术的研究，2014CB744604，子课题负责人，2014-2018

9. 973项目：互联网环境中文言语信息处理与深度计算的基础理论和方法，2013CB329304，子课题负责人，2013-2017

10. 欧盟地平线2020，玛丽居里创新研究网络项目：Quantum Information Access and Retrieval Theory (QUARTZ), 721321, 346万欧元，共同负责人，2017-2020.

11. 欧盟第7框架，玛丽居里国际合作项目: Quantum Contextual Information Access and Retrieval (QONTEXT)， PIRSES-GA-2009-247590，20万欧元，共同负责人，2010-2013

12. 英国国家工程和物理科学研究基金项目: Automatic Adaptation of Knowledge Structures for Assisted Information Seeking（AutoAdapt），EP/F035705/1，32.7万英镑，负责人，2008-2012

13. 英国国家工程和物理科学研究基金项目: Towards Context-Sensitive Information Retrieval Based on Quantum Theory: With Applications to Cross-media Search and Structured Document Access （Renaissance）, EP/F014708/1, EP/F014708/2, 32.3万英镑，负责人，2008-2011

14. 英国信息系统委员会（JISC）项目：Metadata-based Dynamic Query Interface for Cross-Searching Content Resources (DYNIQX)，8.9万英镑，负责人，2008.

15. 英国国家工程和物理科学研究基金-雅虎巴塞罗那研究院联合资助项目：Learning User Preferences from Collective User Behaviour in Content-based Image Search. CASE/CAN/07/55，8.3万英镑，负责人，2007-2011.

16. 欧盟第六框架，集成项目: Platform for Search of Audio-visual Resources across Online Spaces (PHAROS)， IST-2006-045035，负责人，30.9万英镑（项目总额800万欧元），2007-2009

17. 英国国家工程和物理科学研究基金（EPSRC）项目: Operationalizing the Logical Uncertainty Principle in a Language Modelling Framework for Context-based Information Retrieval (LUPMIR)，EP/E002145/1，16.3万英镑，负责人，2006-2008

18. 澳大利亚研究基金委员会Discovery项目：Conceptual Learning and Structure Formation for Document Navigation，DP0343042，21.1万澳元，共同负责人，2003-2005

所获奖励

1. CCF自然语言处理与中文计算国际会议（NLPCC2022）最佳论文奖

2. 国际信息检索理论会议（ICTIR’2019）最佳论文提名奖

3. 国际信息检索理论会议（ICTIR’2011）最佳论文奖

4. 欧洲信息检索会议（ECIR2011）最佳短论文奖

5. 第二批天津市千人计划入选者（2010）

6. IBM 创新成就奖（2006，2007）

社会兼职

【学术组织任职】

1. 2021- 中文信息学会情感计算专委会副主任

2. 2015- 中文信息学会信息检索专委会委员

3. 2018- ACM SIGIR国际信息检索理论会议（ICTIR），Steering Committee委员

4. 2013 亚洲信息检索学会会议（Asian Information Retrieval Societies – AIRS)，Steering Committee主席

5. 2008-2011 英国计算机学会（British Computer Society）信息检索专委会（Information Retrieval Specialists Group）秘书长

【国际际学术活动主要组织者】

1. 2018 ACM 国际信息检索理论会议（ICTIR2018），大会主席

2. 2017 欧洲信息检索会议（ECIR2017），程序委员会（短论文）主席

3. 2015 38th ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2015)，信息检索模型领域主席；

4. 2014 37th ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2014)，信息检索模型领域主席

5. 2011 5th International Symposium on Quantum Interaction (QI'2011)，大会主席

6. 2010 33rd ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2010)，Sponsorship主席

7. 2009 2nd International Conference on the Theory of Information Retrieval（ICTIR2009)，程序委员会主席

8. 2009 5th Asian Information Retrieval Symposium，程序委员会主席

9. 2008 British Computer Society Workshop on Corpus Profiling for IR and NLP，大会主席

10. 2008 UK Workshop on Multimedia Knowledge Management，大会主席

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