蔡毅

发布时间:2018-06-15 浏览次数:28611

基本信息

姓名:蔡毅

办公室:B7-302

E-mail: ycai@scut.edu.cn

所在团队:智能软件与机器人团队

个人主页:https://www2.scut.edu.cn/sse/2018/0615/c16788a270751/page.htm

个人简介

蔡毅,男,教授,博导,大数据与智能机器人教育部重点实验室主任、大数据与机器人智能粤港澳联合实验室主任、华工-金山办公软件联合实验室主任、香港裘搓基金访问学者。香港中文大学博士,香港城市大学博士后。现为中国计算机学会杰出会员、中文信息技术专委会委员、数据库专委会委员;中国中文信息学会语言与知识计算专委会委员、社会媒体计算专委会委员;广东省大数据专委会副主任、数字经济专委会副主任;广东省数据库专家委员会理事,标准规范知识图谱联盟成员,广东省“千百十工程”培养对象,广东省特支计划青年拔尖人才,广东省优秀青年创新人才人选;在 包括IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Visualization and Computer Graphics、Transactions on Affective Computing、IEEE/ACM Transactions on Audio, Speech, and Language Processing、IEEE Transactions on Multimedia、AAAI、ACL、ACM MM、EMNLP、COLING、AAMAS、CIKM 等的多个国际期刊和会议上发表论文 150余篇。出版英文学术专著 2 本,担任WWWJ、WI、DSE等3个国际期刊客座主编,参与《人工智能从业人员能力要求》标准制订,申请发明专利受理 26 项,获批13 项发明专利,软件著作权 49项。主持3个国家级项目,10个省部级项目,重大企事业委托项目1个;参与国家级项目3个、省部级项目3个,4个海外研究项目。任 30 多个知名国际学术会议的主席和程序委员会委员。蔡教授获得多个学术奖项,包括2019广东省科技进步二等奖, 2018 年 CCF 科学技术奖技术进步二等奖,FSDM 2018 best oral presentation,第47届日内瓦发明展银奖等。

学历

1999-09-2003-07  四川大学

2003-09-2005-07  四川大学

2005-11-2009-08  香港中文大学

2009-09-2011-04  香港城市大学

教学经历

从事过数据仓库与数据挖掘、信息检索、高级语言程序设计、IT前沿技术等课程的教学和建设.

工作经历

2009-09-2011-04  香港城市大学 Senior Research

2011-05-2012-08  华南理工大学  教师  讲师

2012-09-2014-08  华南理工大学  教师  副教授

2014-09-至今    华南理工大学  教师  教授

社会兼职

2021.09-至今  中国计算机学会  杰出会员

2013.10-至今  中国计算机学会数据库专委会  委员

2016.12-至今  中国计算机学会大数据专委会  委员

2017.08-至今  中国计算机学会中文信息技术专委会  委员

2016.08-至今  中国中文信息学会社会媒体处理专委会  委员

2018.08-至今  中国中文信息学会语言与知识技术专委会  委员

2021.04-至今  中国中文信息学会情感计算专委会  执委

2018.10-至今  广东省计算机学会大数据专委会  副主任委员

2013.01-至今  广东省计算机学会数据库专委会  理事

2013.01-至今  广东省机器人学会学术委员会  委员

2018.01-2018.12     APWEB-WAIM2018  PC Co-Chair

2018.12         中国中文信息学会语言与知识计算专委会学术研讨会  主席

2020.01-2020.12   CCKS 2020 Industry Track Chair

2021.01-2021.12   ICEBE 2021 Program Chairs

2021.01-2021.12   ICME 2021 Sepical Session Chair

2021.01-2021.12   APWEB-WAIM2021  General  Co-Chair    

2022.01-2022.12    ICME 2022 Sepical Session Chair

研究方向

人工智能与大数据、自然语言处理、数据挖掘、推荐系统、信息检索与智能搜索引擎、对话系统、知识图谱、多模态等。

获奖情况

2021.08         APWeb-WAIM 2021 Best Student Paper Award  

2020.02       2019年广东省科技进步奖             二等奖

2018.10.26    中国计算机协会    2018年科学技术奖    数据库系统中的个性化服务    二等奖

2018.11    FSDM2018大会委员会   Best Oral Presentation Award     一等奖    

2019.4.12   SALON INTERNATIONAL DES INVENTIONS DE GENÈVE组委会  第47届日内瓦发明展发明奖   Fuzzy Talent Assessment System Based on Educational Big Data    银奖   

2015. 09 华南理工大学第七届“我最喜爱的导师”

2015.4   2015 SeCop会议组委会 Best Student Paper Award  Entity Relation Mining in Large-Scale Data  一等奖    

2010.7    The 11th International Conference on Web-Age Information Management    Best Student    Paper Award    Context-Aware Basic Level Concepts Detection in Folksonomies    一等奖  

2015.1    中国计算机学会    CCF全国大数据创新大赛    中文句式的句法精准分析    一等奖   

2017.12中国计算机学会    2017年ccf大数据与计算智能大赛    基于主题的文本情感分析    一等奖  

2017.12    中国计算机学会    2017年ccf大数据与计算智能大赛    小超市供销存管理优化    三等奖   

2017.12    中国计算机学会    2017年ccf大数据与计算智能大赛    城市自行车的出行行为分析及效率优化    二等奖

2017.12    中国计算机学会    2017年ccf大数据与计算智能大赛  基于机构实体的智能摘要和风险等级识别    二等奖   

2018.12    中国计算机学会   2018年ccf大数据与计算智能大赛    供应链需求预测    二等奖   

2018.12    中国计算机学会   2018年ccf大数据与计算智能大赛    视频中人体姿态识别    二等奖    

2018.12    中国计算机学会    2018年ccf大数据与计算智能大赛   汽车行业用户观点主题及情感识别   二等奖   

2018.12    中国计算机学会    2018年ccf大数据与计算智能大赛   互联网金融平台用户评价观点提取   三等奖              


部分科研项目      

1.电子信息领域标准大数据公共服务平台子项目,2021年国家工信部产业技术基础公共服务平台项目

2.面向小样本数据的知识图谱构建关键技术研究, 2020年国家自然科学基金面上项目

3.面向疫情防控和复工复产的标准知识图谱智能服务平台研发和应用,2020国家重点研发计划“科技助力经济2020”专项

4.面向金融智能服务风控的技术研究,2020广东省重点领域研发计划项目

5.面向人工智能操作系统领域的开源测评公共服务平台,2020 国家工信部项目

6.基于自然语言语义分析和深度学习的智能在线教学实训平台关键技术研究及应用,2019 年广州市产业技术重大攻关计划(现代产业技术专题)

7.基于多元异构数据融合的海岸船舶智能监控和风险防控,2018 年广州市产业技术重大攻关计划(现代产业技术专题)

8.电商大数据中的评论智能分析技术研究及其示范应用,2017 年广州市科技计划产学研协同创新重大专项对外科技合作专题

9.基于教育大数据的模糊人才评测技术及其应用,2017 广东省前沿与关键技术创新专项资金项目(粤港联合创新领域)

10.金山办公软件与华南理工大学委托科研项目,企事业委托项目

发表文章

部分代表性文章

1.H Ren, Y Cai*, RYK Lau, H Leung, Q Li. Granularity-aware Area Prototypical Network with Bimargin Loss for Few Shot Relation Classification. IEEE Transactions on Knowledge and Data Engineering, 2022, to appear

2.J Lin, Y Cai*, X Wu, J Lu. Graph-Based Information Block Detection in Infographic with Gestalt Organization Principles. IEEE Transactions on Visualization and Computer Graphics, 2022, to appear

3.XF Chen, GH Wang, HP Ran, Y Cai*, HF Leung, T Wang. Task-adaptive Feature Fusion for Generalized Few-shot Relation Classification in an Open World Environment, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, to appear

4.HK Zhang, Y Cai*, HP Ran, Q Li. Multimodal Topic Modeling by Exploring Characteristics of Short Text Social Media. IEEE Transactions on Multimedia, to appear

5.Y Liu, Q Huang, J Li, L Mo, Y Cai*, Q Li. SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, to appear

6.Jiayuan Xie, Ningxin Peng, Yi Cai*, Tao Wang, Qingbao Huang: Diverse Distractor Generation for Constructing High-Quality Multiple Choice Questions. IEEE ACM Trans. Audio Speech Lang. Process. 30: 280-291 (2022)

7.W Li, F Ge, Y Cai*, D Ren. A conversational model for eliciting new chatting topics in open-domain conversation. Neural Networks 144, 540-552, 2021

8.Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai*, Shengyu Zhang: Fast Extraction of Word Embedding from Q-contexts. CIKM 2021: 873-882

9.Jiayuan Xie,Yi Cai*,Qingbao Huang,Tao Wang. Multiple Objects-Aware Visual Question Generation. The 29th ACM International Conference on Multimedia (ACM MM 2021).

10.Liuwu Li, Yuqi Bu, Yi Cai*. Bottom-Up and Bidirectional Alignment for Referring Expression Comprehension. The 29th ACM International Conference on Multimedia (ACM MM 2021).

11.Changmeng Zheng, Junhao Feng, Ze Fu, Yi Cai*, Qing Li, Tao Wang. Multimodal Relation Extraction with Efficient Graph Alignment. The 29th ACM International Conference on Multimedia (ACM MM 2021).

12.Zeming Liao, Qingbao Huang, Yu Liang, Mingyi Fu, Yi Cai*, Qing Li .Scene Graph with 3D Information for Change Captioning. The 29th ACM International Conference on Multimedia (ACM MM 2021).

13.Qingbao Huang, Chuan Huang, Linzhang Mo, Jielong Wei, Yi Cai*, Ho-fung Leung and Qing Li. IgSEG: Image-guided Story Ending Generation. Findings of ACL 2021.

14.Ninglin Ouyang, Qingbao Huang, Pijian Li, Cai Yi, Bin Liu, Ho-fung Leung and Qing Li. Suppressing Biased Samples for Robust VQA. IEEE Transactions on Multimedia. 2021

15.Ke Xu, Junwen Mo, Yi Cai*, Huaqing Min: Enhancing Recommender Systems With a Stimulus-Evoked Curiosity Mechanism. IEEE Trans. Knowl. Data Eng. 33(6): 2437-2451 (2021).

16.Canguang Li, Guohua Wang, Jin Cao, Yi Cai*: A Multi-Agent Communication Based Model for Nested Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2123-2136 (2021)

17.Zhang, Xing; Xu, Jingyun; Cai, Yi; Tan, Xingwei; Zhu, Changxi. Detecting dependency-related Sentiment Features for aspect-level Sentiment Classification. IEEE Transactions on Affective Computing, 2021.

18.Changmeng Zheng, Zhiwei Wu, Tao Wang, Cai Yi. Object-aware Multimodal Named Entity Recognition in Social Media Posts with Adversarial Learning. IEEE Transactions on Multimedia, 2021.

19.HUANG, Q. B., LIANG, Y., WEI, J. L., CAI, Y., LIANG, H. Y., LEUNG, H. F. and LI, Q., 2021. Image Difference Captioning with Instance-Level Fine-Grained Feature Representation. IEEE Trans. Multimedia. 2021.

20. ZHU, C. X., LEUNG, H. F., HU, S. Y. and CAI, Y., 2021. A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint. ACM Transactions on Autonomous and Adaptive Systems (TAAS) 15 (2), 1-28.

21.Qi Peng, Changmeng Zheng, Yi Cai*, Tao Wang, Haoran Xie, Qing Li: Unsupervised cross-domain named entity recognition using entity-aware adversarial training. Neural Networks 138: 68-77 (2021).

22.Deng Jiang Haopeng Ren Yi Cai*, Jingyun Xu Yanxia Liu Ho-fung Leung. Candidate Region Aware Nested Named Entity Recognition Learning Systems. Neural Networks, 2021.

23.HUANG, Q. B., FU, M. Y., MO, L. Z, CAI, Y., XU, J. Y., LI, P. J., LI, Q. and LEUNG, H. F., 2021. Guided Question Generation with Contextual Structure and Sequence Information Capturing. In: Proceedings of the AAAI Conference on Artificial Intelligence, 35. 2–9 February 2021. AAAI Press.

24.HUANG, Q. B., MO, L. Z, LI, P. J., CAI, Y., LIU, Q. G., WEI, J. L., LI, Q. and LEUNG, H. F., 2021. Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Tree. In: Proceedings of the AAAI Conference on Artificial Intelligence, 35. 2–9 February 2021. AAAI Press.

25.Zhiwei Wu, Changmeng Zheng, Yi Cai*, Junying Chen, Ho-fung Leung, Qing Li: Multimodal Representation with Embedded Visual Guiding Objects for Named Entity Recognition in Social Media Posts. ACM Multimedia 2020: 1038-1046

26.HUANG, Q. B., WEI, J. L., CAI, Y., ZHENG, C. M., CHEN, J. Y., LEUNG, H. F. and LI, Q., 2020. Aligned Dual Channel Graph Convolutional Network for Visual Question Answering. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020. Seattle, USA, 5–10 July 2020. ACL, 7166–7176.

27.Haopeng Ren, Yi Cai*, Xiaofeng Chen, Guohua Wang, Qing Li: A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification. COLING 2020: 1618-1629.

28.Changmeng Zheng, Yi Cai*, Guanjie Zhang, Qing Li: Controllable Abstractive Sentence Summarization with Guiding Entities. COLING 2020: 5668-5678

29.Xin Wu, Yi Cai*, Kai Yang, Tao Wang, Qing Li: Task-oriented Domain-specific Meta-Embedding for Text Classification. EMNLP 2020: 3508-3513.

30.Junsheng Kong, Zhicheng Zhong, Yi Cai*, Xin Wu, Da Ren: TSDG: Content-aware Neural Response Generation with Two-stage Decoding Process. EMNLP (Findings) 2020: 2121-2126

31.WU, X., CAI, Y., LI, Q., XU, J. Y. and LEUNG, H. F., 2020. Combining Weighted Category-Aware Contextual Information in Convolutional Neural Networks for Text Classification. World Wide Web. Springer. 

32.ZHU, C. X., CAI, Y., LEUNG, H. F. and HU, S. Y., 2020. Learning by Reusing Previous Advice in Teacher-Student Paradigm. In: AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, Auckland, New Zealand, 11–13 May 2020. IFAAMS, 1674–1682.

33.ZHENG, C. M., CAI, Y., XU, J. Y., LEUNG, H. F. and XU, G. D., 2019. A Boundary-Aware Neural Model for Nested Named Entity Recognition. In: Proceedings of the 2019 EMNLP-IJCNLP, Hong Kong, China, 3–7 November 2019. Association for Computational Linguistics, 357–366.

34.Xingwei Tan, Yi Cai*, Changxi Zhu: Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks. EMNLP/IJCNLP  2019: 3424-3429

35.Jingyun Xu, Yi Cai*: Incorporating Context-Relevant Knowledge into Convolutional Neural Networks for Short Text Classification. AAAI 2019

36.Changxi Zhu, Ho-fung Leung, Shuyue Hu, Yi Cai*: A Q-values Sharing Framework for Multiple Independent Q-learners. AAMAS 2019: 2324-2326

37.Yi Cai*, Haoran Xie, Raymond Y. K. Lau, Qing Li, Tak-Lam Wong, Fu Lee Wang: Temporal event searches based on event maps and relationships. Appl. Soft Comput. 85 (2019)

38.Kai Yang, Yi Cai*, Zhenhong Chen, Ho-fung Leung, Raymond Y. K. Lau: Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation. COLING 2016: 2238-2247

39.Yi Cai*, Qing Li, Haoran Xie, Huaqing Min: Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy. Neural Networks 58: 98-110 (2014)

40.Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai*, Yanghui Rao: Community-aware user profile enrichment in folksonomy. Neural Networks 58: 111-121 (2014)

41.Yi Cai*, Ho-fung Leung, Qing Li, Huaqing Min, Jie Tang, Juanzi Li: Typicality-Based Collaborative Filtering Recommendation. IEEE Trans. Knowl. Data Eng. 26(3): 766-779 (2014)



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