导师团队
量子智能与语言理解
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  • 所属院系:智能与计算学部
  • 所属专业: 计算机科学与技术
  • 邮箱 : pzhang@tju.edu.cn
  • 工作电话 : -

团队简介

Team Introduction

量子智能与语言理解团队致力于以信息原则解释和重构量子力学,澄清量子力学的认知意义。在此基础上,以量子方法(量子力学、量子概率和量子逻辑)及其扩展形式化为核心理论工具,发展通用人工智能的理论基础、算法模型和应用系统,推进对人工智能研究瓶颈的突破。这里的瓶颈问题包括但不限于:自然语言深度理解和生成的困难、因果关系发现的困难、高计算复杂性、高样本复杂性和高通信复杂性的困难,以及认知与社会交互行为量化建模的困难等。

团队在高维信息的特征抽象、神经网络的可解释性、量子神经网络等的研究成果获得CCF A类会议SIGIR 2017最佳论文奖提名奖,ICTIR 2011最佳论文奖、ECIR 2011最佳短论文奖、CCIR 2014优秀学生论文奖。论文发表在国际著名期刊IEEE TNNLS、IEEE TKDE、ACM TOIS,ACM TIST、JASIST、Physical Review A、Information Science,及国际顶级会议SIGIR、ACL、WWW、IJCAI、AAAI、CIKM、EMNLP。团队承担1项国家重点研发计划项目、1项国家自然科学基金重点项目、2项973子课题,1项863子课题以及10余项国家自然科学基金面上或青年项目。同时,团队参与2020地平线计划、欧盟第7框架玛丽居里等国际重大项目。


  • 研究方向Research Directions
自然语言处理,量子语言模型,量子认知,量子通信与量子计算,个性化推荐,信息检索
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
团队展示

导师介绍

侯越先,研究方向为机器学习、量子人工智能、信息检索和自然语言处理。个人主页

张鹏,研究方向为信息检索、自然语言处理、深度学习、量子认知方面的理论研究,以及在搜索引擎、问答系统、知识图谱中的应用研究。个人主页

曲日,研究方向为量子通信与量子计算。个人主页

王博,研究方向为心理计算与智能对话、个性化推荐、自然语言处理。个人主页

国际合作团队

1. 香港中文大学黄锦辉教授 (Prof. Kam Fai, Wong), 香港理工大学李文捷教授(Prof. Wenjie Li). 在自然语言处理领域合作论文十余篇.

2. 伦敦大学学院汪军教授 (Prof. Jun Wang), 在机器学习和信息检索领域长期合作, 并完成顶级会议论文SIGIR 2017最佳论文奖.

3. MSRA自然语言计算组. 作为微软亚洲研究员访问学者, 访问, 在智能问答、对话、机器翻译、跨语言模型领域展开深入合作!

4. 南洋理工大学孙爱欣教授 (Prof. Aixin Sun). 联合组织亚洲信息检索国际会议AIRS 2015!

团队参赛情况

1. 张鹏老师带领组队 FunNLP,获得SMP首届机器人群聊比赛第一名。

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团队公众号

公众号名称为天大量子智能与语言理解,主要介绍实验室的代表性及最新的科研成果,欢迎大家交流与关注!

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科研项目

1. 国家自然科学基金面上项目(Natural Science Foundation of China),61772363,面向互动语言场景的类量子语言模型关键理论和技术研究(Research on quantum-like language modeling in the interactive language scenario), 2018/01-2021/12。

2. 国家自然科学基金青年基金项目(Natural Science Foundation of China),61402324,基于参数估计理论的信息检索风险研究(Research on Information Retrieval Risk based on Parameter Estimation Theory), 2015/01-2017/12。

3.教育部博士点基金新教师类项目(Research Fund for Doctoral Program of Higher Education of china),20130032120044,探索式搜索:动态相关性建模研究(Exploratory Search: Dynamic Relevance Modeling ),2014/01-2016/12。

4. 教育部留学回国人员科研启动基金项目( Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry),2015D4-0020,信息检索模型复杂性及自适应算法研究(Research on IR Model Complexity and Adaptive Algorithms),2015/06-2017/05。

5. 天津市应用基础和前沿研究计划青年项目(Tianjin Natural Science Foundation),15JCQNJC41700,信息检索模型复杂性与评价方法研究(Research on IR Model Complexity and Evaluation Methods),2015/04-2018/03。

6. 2018-2021  重点人员监控和特殊人群监测预警,  国家科技重大专项(子课题), 45万

7. 2019-2021  智能客服系统核心算法(国家电网、中国电信等),企业合作

8. 2018-2020  基于互动语言的在线社会关系语义化动态画像研究,  国家自然科学基金, 71万


研究成果

近期期刊论文

1. Zhang, Song, Zhang*, Wang, Li, Li, Wang:A quantum-inspired multimodal sentiment analysis framework. Theoretical Computer Science (2018) [CCF-B]

2. Li, Zhao, Zhang*, Song:Modeling multiple interactions with a Markov random field in query expansion for session search. Computational Intelligence 34(1) (2018) [SCI四区]

3. Li, Song, Zhang*, Zhang, Hou, Hu:Exploring EEG Features in Cross-Subject Emotion Recognition. The Center for Clinical Imaging Research 12 (2018) [SCI二区]

4. Panpan Wang, Yuexian Hou, Jingfei Li, Yazhou Zhang, Dawei Song, Wenjie Li: A quasi-current representation for information needs inspired by Two-State Vector Formalism. Physica A: Statistical Mechanics and its Applications 482 (2017): 627-637.

5. Xiaozhao Zhao, Yuexian Hou, Dawei Song, Wenjie Li., A Confident Information First Principle for Parameter Reduction and Model Selection of Boltzmann Machines, IEEE Transactions on Neural Networks and Learning Systems (SCI-Q1), accepted, online available.

6. Li, Song, Zhang*, Hou, Hu:Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring. International Journal of Data Mining and Bioinformatics 18(1) (2017) [SCI四区]

7. Zhang, Yu, Hou, Song, Jingfei Li, Bin Hu: A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval,ACM Transactions on Intelligent Systems and Technology, 8(3), article no. 46. Volume 8 Issue 3, April 2017.(ACM TIST)[SCI一区]

8. Li, Wu, Zhang, Song, Wang: Learning to diversify web search results with a Document Repulsion Model.Information Sciences, 2017, 411: 136-150 [CCF-B]

9. Li, Zhang, Song, Wu: Understanding an Enriched Multidimensional User Relevance Model by Analyzing Query Logs. Journal of the Association for Information Science and Technology, 2017, 68(12): 2743-2754 [SCI二区]

10. Zhang, Yu, Hou, Song, Li, Hu:Generalized Analysis of a Distribution Separation Method. Entropy 18(4) (2016) [SCI三区]

11. Zhang, Li, Wang, Zhao, Song, Hou, Massimo Melucci:A Quantum Query Expansion Approach for Session Search. Entropy 18(4) (2016) [SCI三区]

12. Li, Zhang*, Song , Hou:An Adaptive Contextual Quantum Language Model, Physica A: Statistical Mechanics and its Applications, Volume 456, Pages 51–67.[SCI三区]

13. Wang, Zhang, Li, Song, Hou, Shang:Exploration of Quantum Interference in Document Relevance Judgement Discrepancy. Entropy 18(4) (2016) [SCI三区]

14. Yuexian Hou, Xiaozhao Zhao, Dawei Song and Wenjie Li, Mining Pure High-Order Word Associations via Information Geometry for Information Retrieval, ACM Transactions on Information System (CCF Tier-A Journal), vol.31, no.3, 2013.

15. Yuexian Hou, Bo Wang, Dawei Song, Xiaochun Cao, Wenjie Li, Quadratic Tsallis Entropy Bias and Generalized Maximum Entropy Models, Accepted for Publication by Computational Intelligence (CCF Tier-B Journal), Volume 30, Number 2, p 233–262, 2014.

16. Zhang, Song, Wang,and Hou, (2014). Bias-variance analysis in estimating true query model for information retrieval.Information Processing & Management (IP&M). 50(1), pp. 199-217, 2011.[SCI三区][CCF-B]

17. Song, Shi, Zhang, Huang, Udo Kruschwitz, Yuexian Hou, Bo Wang:Incorporating Intra-Query Term Dependencies in an Aspect Query Language Model. Computational Intelligence 31(4): 699-720,2015.[SCI四区][CCF-C]

18. Zhang, Li, Hou, Song. Developing Position Structure based Framework for Chinese Entity Relation Extraction. ACM Transactions on Asian Language Information Processing (TALIP), vol. 10, no. 3, article 14, pp. 1-22, 2011.[CCF-C]

19. Diederik Aerts, Peter Bruza, Yuexian Hou, Joemon M. Jose, Massimo Melucci, Jian-Yun Nie, Dawei Song: Quantum Theory-Inspired Search, Procedia Computer Science 7, pp. 278-280, 2011.

 

近期会议论文

1. Jiang, Zhang, Gao, Song, A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. Accepted by SIGIR 2020.[CCF-A]

2. Wang, Zhao, Chirstina Lioma, Li, Zhang*, Jakob Grue Simonsen, Encoding word order in complex embeddings. Accepted by ICLR 2020.[CCF-A]

3. Ma, Zhang*, Zhang, Duan, Hou, Song, Zhou, A Tensorized Transformer for Language Modeling. Accepted by NeurIPS 2019.[CCF-A]

4. Wang, Zhang, Zhang, Song, SCSS-LIE: A Novel Synchronous Collaborative Search System with a Live Interactive Engine. Accepted by SIGIR2019.[CCF-A]

5. Zhang, Song, Zhang, Li, Wang, A quantum-inspired sentiment representation model for twitter sentiment analysis. Accepted by IJCAI2019.[CCF-A]

6. Zhang, Zhang*, Ma, Gu, Su, Song, A Generalized Language Model in Tensor Space. Accepted by AAAI2019.[CCF-A]

7. Luo, Huang, Hu, Li, Zhang, AccuAir: Winning Solution to Air Quality Prediction for KDD Cup 2018. Accepted by KDD2019.[CCF-A]

8. Zhang, Su, Zhang, Wang, Song, A Quantum Many-body Wave Function Inspired Language Modeling Approach. In: Proceedings of 27th ACM International Conference on Information and Knowledge Management(CIKM-2018), 2018:1303-1312.[CCF-B]

9. Yang, Zhang, Song:A Study of Per-Topic Variance on System Comparison,Accepted by SIGIR2018.[CCF-A]

10. Zhang, Niu, Su, Wang, Ma, Song,End-to-End Quantum-like Language Models with Application to Question Answering, In: 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2-7 February 2018, New Orleans, Louisiana, USA.[CCF-A]

11. Tianshu Wang, Yuexian Hou, Panpan Wang and Xiaolei Niu, Exploring Relevance, Judgement Inspired by Quantum Weak Measurement, AAAI 2018 (CCF-A类).

12. Panpan Wang, Yazhou Zhang, Xiang Li, Yuexian Hou, Dawei Song:
Does tang poetry affect human emotional state? A pilot study by EEG. BIBM 2017 (CCF-B类): 2044-2047.

13. Gong Chen, Yan Liu, Jiannong Cao, Sheng-hua Zhong, Yang Liu, Yuexian Hou, Peng Zhang:
Learning Music Emotions via Quantum Convolutional Neural Network. Brain Informatics 2017: 49-58.

14. Xiaolei Niu, Yuexian Hou, Panpan Wang:
Bi-Directional LSTM with Quantum Attention Mechanism for Sentence Modeling. ICONIP 2017 (CCF-C类): 178-188.

15. Bo Wang, Yingjun Sun, Bo Han, Yuexian Hou, Dawei Song:
Extending the Balance Theory by Measuring Bidirectional Opinions with Interactive Language. WWW 2017 (CCF-A类), 849-850.

16. Wang, Yu, Zhang, Gong, Xu, Wang, Zhang, Zhang, IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval. ACM, 2017: 515-524.[CCF-A]

17. Zhang, Zhang, Li, Song:SECC: A Novel Search Engine Interface with Live Chat Channel. SIGIR 2016: 1137-1140 [CCF-A]

18.Wang, Yu, Zhang:Investigation of the Subjective Asymmetry of Social Interrelationship with Interactive Language. WWW (Companion Volume) 2016: 121-122 [CCF-A]

19. Xing, Hou, Zhang, Li, Song:Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification. EMNLP 2015: 2551-2556 [CCF-B]

20. Xie, Hou*, Zhang*, Li, Li, Song, Modeling Quantum Entanglements in Quantum Language Models, IJCAI 2015 (Note: We have corrected Algorithm 1 in the updated version provided in the above link!) [CCF-A]

21. Li, Li, Zhang, Song, Modeling multi-query retrieval tasks using density matrix transformation. SIGIR 2015: 871–874 [CCF-A]

22. Chen, Zhang, Song, Wang: A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling. CIKM 2015: 1719–1722 [CCF-B]

23. Yu, Zhang*, Hou, Song, Wang: Document Boltzmann Machines for Information Retrieval, ECIR 2015: 666-671 [CCF-C]

24. Chengyao Chen, Dehong Gao, Wenjie Li, Yuexian Hou: Inferring topic-dependent influence roles of Twitter users. SIGIR 2014: 1203-1206 (SIGIR 2014, CCF Tier-A Conference).

 

25. Zhang, Hao, Song, Wang, Hou, Hu: Generalized Bias-Variance Evaluation of TREC Participated Systems. CIKM 2014: 1911-1914, 2014. [CCF-B]

26. Zhang, Song, Wang, Hou: Bias-variance decomposition of ir evaluation. SIGIR 2013: 1021-1024, 2013 [CCF-A]

27. Fanqi Meng, Dehong Gao, Wenjie Li, Xu Sun, Yuexian Hou: A unified graph model for personalized query-oriented reference paper recommendation. CIKM 2013: 1509-1512.

28. Teng Ma, Yuexian Hou, Xiaozhao Zhao and Dawei Song, A global constrained optimization method for designing road networks with small Diameters, The 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013, CCF Tier-A Conference), pp., 2869-2876.

29. Dehong Gao, Renxian Zhang, Wenjie Li, Yuexian Hou, Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering (poster), in Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM2012, CCF Tier-B Conference), pp., 2535-2538.

30. Yong Liu, Shizhong Liao and Yuexian Hou, Learning Kernels with Upper Bounds of Leave-One-Out Error (poster),in Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM2011, CCF Tier-B Conference), pp. 2205-2208.

31. Yuexian Hou, Liang He, Xiaochao Zhao, Dawei Song, High-order Pure Word Dependence Mining via Information Geometry (full paper), in Proceedings of the 3rd International Conference on the Theory of Information Retrieval (ICTIR2011), pp. 64-76, Best Paper Award. 


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