宋大為(北京理工大學教授)

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宋大為，男，博士，北京理工大學教授，博士生導師。

基本介紹

  • 中文名：宋大為
  • 學位/學歷：博士
  • 職業：教師
  • 專業方向：信息檢索、自然語言處理、知識獲取、人工智慧、量子互動與認知
  • 任職院校：北京理工大學
個人經歷,科研方向,學術成果,榮譽獎項,社會兼職,

個人經歷

1972年10月出生。2000年7月畢業於香港中文大學系統工程與工程管理系，獲博士學位；2000年9月至2005年7月任澳大利亞分散式系統技術研究中心高級背慨頁科學家；2005年9月至2008年10月任英國開放大學知識媒體研究所高級講師，兼任科研副所長；2008年11月至2012年2月任英國羅伯特戈登大學計算機學院講席教授，兼任大學創新科技和可持續發展研究中心管委會委員；2012年3月至2018年2月任天津大學計算機學院特聘教授。轎全槓2018年3月加入北京理工大學計算機學院。

科研方向

長期從事信息檢索、自然語言處理及人工智慧領域的研究工作，旨在構建符合人類信息推理和認知特點的多模態信息獲取、互動和知識發掘理論與方法，特別是近年來，倡導和推動國際新興的基於量子力學理論的探索式信息檢索與互動模型研究。
信息檢索、自然語言處理、知識獲取、人工智慧、量子互動與認知

學術成果

在英國全職任教期間，作為遷辨漏負責人主持英國國家工程及物理科學基金（EPSRC）、英國皇家學會、英國國鍵灶家信息系統委員會（JISC）、 歐盟第六、第七框架和地平線2020項目12項。2012年回國後，主持國家自然科學基金重點和面上艱蒸奔項目各1項，重點研發項目課題1項，參與國家973項目2項。已發表學術論文200餘篇循犁拒少，其中包括ACM TOIS、IEEE TKDE、IEEE TNNLS、ACM TIST、JASIST等SCI二區以上或CCF A類期刊，以及ACM SIGIR、白漿婆應ACL、IJCAI、等CCF A類國際會議論文50餘篇。
1. 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). 3-7 November 2019, Hong Kong, China.
2. 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. 543605442. 10-16 August 2019, Macau, China.
3. Zhang, Y., Song, D., Zhang, P., Li, Xiang, Wang, P. (2019). A Quantum-inspired Sentiment Representation Model for Twitter Sentiment Analysis. Applied Intelligence. 49(8): 3093-3108.
4. 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.
5. 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.
6. Zhang, P., Su, Z., Zhang, L., Wang, B., Song, D. (2018). A Quantum Many-body Wave Function Inspired Language Modeling Approach. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), pp. 1303-1312. 22-26 October 2018, Torino, Italy.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29.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.
30. 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 (SIGIR2001), pp. 327-333. 9-13 September 2001, New Orleans, Louisiana, USA.
31. 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.
32. 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.
承擔科研情況
1. 國家重點研發計畫“智慧型司法公開關鍵技術研究”課題：基於司法公開信息資源有效融合的探索式搜尋技術研究，2018YFC0831704，負責人，2019-2021
2. 國家自然科學基金通用技術基礎聯合基金重點項目：大數據和社會場景下的互動語言意圖深度理解基礎理論和關鍵技術研究，U1636203，負責人，2017-2020
3. 國家自然科學基金面上項目：融合用戶、上下文和系統：基於量子理論的信息檢索模型研究， 61272265，負責人，2013-2016
4. 973項目：基於生物、心理多模態信息的潛在抑鬱風險預警理論與生物感測關鍵技術的研究，2014CB744604，子課題負責人，2014-2018
5. 973項目：網際網路環境中文言語信息處理與深度計算的基礎理論和方法，2013CB329304，子課題負責人，2013-2017
6. 歐盟第7框架，瑪麗居里國際合作項目: Quantum Contextual Information Access and Retrieval (QONTEXT)， PIRSES-GA-2009-247590，20萬歐元，共同負責人，2010-2013
7. 英國國家工程和物理科學研究基金項目: Automatic Adaptation of Knowledge Structures for Assisted Information Seeking（AutoAdapt），EP/F035705/1，32.7萬英鎊，負責人，2008-2012
8. 英國國家工程和物理科學研究基金項目: 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, 32.3萬英鎊，負責人，2008-2011
9. 歐盟第六框架，集成項目: Platform for Search of Audio-visual Resources across Online Spaces (PHAROS)， IST-2006-045035，負責人，30.9萬英鎊，2007-2009
10. 英國國家工程和物理科學研究基金項目: Operationalizing the Logical Uncertainty Principle in a Language Modelling Framework for Context-based Information Retrieval (LUPMIR)，EP/E002145/1，16.3萬英鎊，負責人，2006-2008
11. 澳大利亞研究基金委員會Discovery項目：Conceptual Learning and Structure Formation for Document Navigation，DP0343042，21.1萬澳元，共同負責人，2003-2005

榮譽獎項

在國際評測會議TREC 2006的專家搜尋任務中，其領導團隊研發的專家搜尋系統在大多數性能指標上均取得第一名。獲得歐洲信息檢索會議（ECIR2011）和國際信息檢索理論會議（ICTIR2011）最佳論文獎，於2006年和2007年兩次獲得IBM創新成就獎。
1. IBM 創新成就獎（2006，2007）
2. 國際信息檢索理論會議（ICTIR’2011）最佳論文獎
3. 歐洲信息檢索會議（ECIR2011）最佳短論文獎
4. 指導研究生獲得英國皇家學會牛頓國際研究獎學金（2015）、百度研究獎學金（2014）、全國信息檢索學術會議（CCIR’2015）優秀學生論文獎、ACM SIGIR’2017最佳論文獎提名

社會兼職

【學術組織任職】
1. 2015- 中文信息學會信息檢索專委會委員
2. 2018- ACM SIGIR國際信息檢索理論會議（ICTIR），Steering Committee委員
3. 2013 亞洲信息檢索學會會議（Asian Information Retrieval Societies – AIRS），Steering Committee主席
4. 2008-2011 英國計算機學會（British Computer Society）信息檢索專委會（Information Retrieval Specialists Group）秘書長
【國際際學術活動主要組織者】
1. 2018 ACM 國際信息檢索理論會議（ICTIR2018），大會主席
2. 2017 歐洲信息檢索會議（ECIR2017），程式委員會（短論文）主席
3. 2015 38th ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2015)，信息檢索模型領域主席；
4. 2014 37th ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2014)，信息檢索模型領域主席
5. 2011 5th International Symposium on Quantum Interaction (QI'2011)，大會主席
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），程式委員會主席
8. 2009 5th Asian Information Retrieval Symposium，程式委員會主席
9. 2008 British Computer Society Workshop on Corpus Profiling for IR and NLP，大會主席
10. 2008 UK Workshop on Multimedia Knowledge Management，大會主席
4. 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.
5. 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.
6. Zhang, P., Su, Z., Zhang, L., Wang, B., Song, D. (2018). A Quantum Many-body Wave Function Inspired Language Modeling Approach. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), pp. 1303-1312. 22-26 October 2018, Torino, Italy.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29.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.
30. 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 (SIGIR2001), pp. 327-333. 9-13 September 2001, New Orleans, Louisiana, USA.
31. 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.
32. 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.
承擔科研情況
1. 國家重點研發計畫“智慧型司法公開關鍵技術研究”課題：基於司法公開信息資源有效融合的探索式搜尋技術研究，2018YFC0831704，負責人，2019-2021
2. 國家自然科學基金通用技術基礎聯合基金重點項目：大數據和社會場景下的互動語言意圖深度理解基礎理論和關鍵技術研究，U1636203，負責人，2017-2020
3. 國家自然科學基金面上項目：融合用戶、上下文和系統：基於量子理論的信息檢索模型研究， 61272265，負責人，2013-2016
4. 973項目：基於生物、心理多模態信息的潛在抑鬱風險預警理論與生物感測關鍵技術的研究，2014CB744604，子課題負責人，2014-2018
5. 973項目：網際網路環境中文言語信息處理與深度計算的基礎理論和方法，2013CB329304，子課題負責人，2013-2017
6. 歐盟第7框架，瑪麗居里國際合作項目: Quantum Contextual Information Access and Retrieval (QONTEXT)， PIRSES-GA-2009-247590，20萬歐元，共同負責人，2010-2013
7. 英國國家工程和物理科學研究基金項目: Automatic Adaptation of Knowledge Structures for Assisted Information Seeking（AutoAdapt），EP/F035705/1，32.7萬英鎊，負責人，2008-2012
8. 英國國家工程和物理科學研究基金項目: 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, 32.3萬英鎊，負責人，2008-2011
9. 歐盟第六框架，集成項目: Platform for Search of Audio-visual Resources across Online Spaces (PHAROS)， IST-2006-045035，負責人，30.9萬英鎊，2007-2009
10. 英國國家工程和物理科學研究基金項目: Operationalizing the Logical Uncertainty Principle in a Language Modelling Framework for Context-based Information Retrieval (LUPMIR)，EP/E002145/1，16.3萬英鎊，負責人，2006-2008
11. 澳大利亞研究基金委員會Discovery項目：Conceptual Learning and Structure Formation for Document Navigation，DP0343042，21.1萬澳元，共同負責人，2003-2005

榮譽獎項

在國際評測會議TREC 2006的專家搜尋任務中，其領導團隊研發的專家搜尋系統在大多數性能指標上均取得第一名。獲得歐洲信息檢索會議（ECIR2011）和國際信息檢索理論會議（ICTIR2011）最佳論文獎，於2006年和2007年兩次獲得IBM創新成就獎。
1. IBM 創新成就獎（2006，2007）
2. 國際信息檢索理論會議（ICTIR’2011）最佳論文獎
3. 歐洲信息檢索會議（ECIR2011）最佳短論文獎
4. 指導研究生獲得英國皇家學會牛頓國際研究獎學金（2015）、百度研究獎學金（2014）、全國信息檢索學術會議（CCIR’2015）優秀學生論文獎、ACM SIGIR’2017最佳論文獎提名

社會兼職

【學術組織任職】
1. 2015- 中文信息學會信息檢索專委會委員
2. 2018- ACM SIGIR國際信息檢索理論會議（ICTIR），Steering Committee委員
3. 2013 亞洲信息檢索學會會議（Asian Information Retrieval Societies – AIRS），Steering Committee主席
4. 2008-2011 英國計算機學會（British Computer Society）信息檢索專委會（Information Retrieval Specialists Group）秘書長
【國際際學術活動主要組織者】
1. 2018 ACM 國際信息檢索理論會議（ICTIR2018），大會主席
2. 2017 歐洲信息檢索會議（ECIR2017），程式委員會（短論文）主席
3. 2015 38th ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2015)，信息檢索模型領域主席；
4. 2014 37th ACM SIGIR Annual Conference on Research and Development in Information Retrieval (SIGIR’2014)，信息檢索模型領域主席
5. 2011 5th International Symposium on Quantum Interaction (QI'2011)，大會主席
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），程式委員會主席
8. 2009 5th Asian Information Retrieval Symposium，程式委員會主席
9. 2008 British Computer Society Workshop on Corpus Profiling for IR and NLP，大會主席
10. 2008 UK Workshop on Multimedia Knowledge Management，大會主席

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