个人信息

施重阳，男，1980年8月出生，博士，副教授，悉尼科技大学访问学者。2002年获东北师范大学计算机本科学位，2004年获威尼斯87978797软件硕士学位，2011年于威尼斯87978797获得计算机博士学位，目前是威尼斯87978797软件智能与软件工程研究所智能信息检索方向负责人。一直从事人工智能、自然语言处理、深度学习、智能信息检索、个性化推荐、意见与情感挖掘等方向的研究工作，在这些方向有丰富的研究经验，主持国家自然科学基金、国家重点研发计划子课题、北理工-台北科技大学合作专项、中国科学院自动化所国家重点实验室开放课题及威尼斯87978797基础研究基金等多个纵向课题，同时也参与了多项国家自然科学基金项目及教育部新世纪人才资助项目等课题，主持多项横向课题，在TKDE、AAAI、WWW、SIGIR等国际高水平期刊及会议上发表论文30余篇。获软件著作权一项，国家专利13项。

科研方向

人工智能、自然语言处理、深度学习、数据挖掘、个性化推荐等。

具体包括：

智能信息检索与知识获取（找到事实的“真相”和“关联”）

个性化预测与推荐（例如：预测你想看的新闻，推荐你想买的衣服等）

社交网络情感与意见挖掘（例如：豆瓣评价、谣言和虚假新闻检测等）

智能生成（例如：新闻生成，故事结局生成，论文综述生成等）

等等

代表性学术成果

[1]Q. Zhang, L. Cao, C. Shi* and Z. Niu, "Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2021. 3069058.中科院SCI 大类1区期刊

[2]An Lao,  Chongyang Shi*, Yayi Yang, Rumor Detection with Field of Linear and Non-Linear Propagation, n Proceedings of the Web Conference 2021 (WWW '21). New York, NY, USA, 3178–3187. CCF A类会议

[3]Qi Zhang, Longbing Cao,  Chongyang Shi*, Liang Hu, Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data, AAAI 2021,  4671-4678 ,CCF A类会议

[4]Xueliang Guo, Chongyang Shi*,Chuanming Liu, Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation, International World Wide Web Conference(WWW), Taipei, China, 2020, 1127-1137,CCF A类会议

[5]Guangyi Hu, Chongyang Shi*, Shufeng Hao,Yu Bai, Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR),Xi’an China,2020,1725-1728,CCF A类会议

[6]Qi Zhang, Chongyang Shi*,Zhendong Niu,Longbing Cao, HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering[J],  IEEE Transactions on Knowledge and Data Engineering(TKDE), 31(1):p152-165, 2019,CCF A类期刊

[7]Chaoqun Feng, Chongyang Shi*, Chuanming Liu, Qi Zhang, Shufeng Hao, Xinyu Jiang,Context-aware item attraction model for session-based recommendation,Expert Systems with Applications,Volume 176,2021,114834，中科院SCI小类1区期刊，TOP期刊

[8]Hufsa Mohsin, Chongyang Shi*: SPBC: A self-paced learning model for bug classification from historical repositories of open-source software. Expert Syst. Appl. 167: 113808 (2021)，中科院SCI小类1区期刊，TOP期刊

[9]Lingkang Meng, Chongyang Shi*, Shufeng Hao, Xiangrui Su: DCAN: Deep Co-Attention Network by Modeling User Preference and News Lifecycle for News Recommendation. DASFAA (3) 2021: 100-114，CCF B类会议

[10]Xu Cao, Deyi Xiong, Chongyang Shi*, Chao Wang, Yao Meng, Changjian Hu: Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling. COLING 2020: 4926-4936，CCF B类会议

[11]Shufeng Hao, Chongyang Shi*, Zhendong Niu, Longbing Cao: Modeling positive and negative feedback for improving document retrieval,Expert Systems with Applications (ESWA). 120:p253-261, 2019, 中科院SCI小类1区期刊，TOP期刊

[12]Shufeng Hao, Chongyang Shi*, Zhendong Niu, Longbing Cao, Concept coupling learning for improving concept lattice-based document retrieval, Engineering Applications of Artificial Intelligence(EAAI), v 69, p 65-75, 2018, 中科院SCI 2区期刊

[13]Qi Zhang, Chongyang Shi*, Ping Sun, Zhendong Niu, Case-Based Classification on Hierarchical Structure of Formal Concept Analysis, ECAI 2016 22nd European Conference on Artificial Intelligence,v 285, p 1758-1759, 2016，CCF B类会议

[14]Qingxuan Zhang, Chongyang Shi*, Exploiting BERT with Global-Local Context and Label Dependency for Aspect Term Extraction, International Conference on Data Science and Advanced Analytics(DSAA).2020,354-362, CCF C类会议

[15]Qingxuan Zhang, Chongyang Shi*, An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification, Asian Conference on Machine Learning(ACML). v101:p425-440,2019,CCF C类会议

[16]Yu, Haibin, Shi, Chongyang*, Zhang, Chunxia, Hearne, Ryan, Yu, Bai, Query Expansion Based on Formal Concept Analysis From Retrieved Documents, Journal of Internet Technology, 20(2): p409-421, 2019, SCIE

[17]Yu, Haibin, Shi, Chongyang*, Zhang, Chunxia, Hearne, Ryan, Yu, Bai, A New Digital Paper Search Paradigm Based on FCA, Journal of Internet Technology, 19(4)：p1099-1110, 2018,SCIE

[18]Shi, Chongyang*, Yu, Bai, Niu, Zhendong, Qi, Zhang, Case retrieval based on formal concept analysis, Journal of Computational and Theoretical Nanoscience, v13,n7:p 4211-4222, 2016

[19]Chongyang Shi，Linjing Lai，Similarity Model Based on CBR and FCA，17th IEEE/ACIS International Conference on Software Engineering, 2016 IEEE/ACIS 17th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2016:p597-603, July, 2016

[20]李维银，石玉龙，陈杰，施重阳*，基于分类模型的查询扩展方法，计算机科学，42(6): p18-22, 2015

[21]Xiangyu Zhao, Zhendong Niu, Wei Chen, Chongyang Shi,  Ke Niu, Donglei Liu, A hybrid approach of topic model and matrix factorization based on two-step recommendation framework, Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies, v44, n3:p335-53, 2015

[22]Sheng Huang，Zhendong Niu，Chongyang Shi，Automatic construction of domain-specific sentiment lexicon based on constrained label propagation，Knowledge-Based Systems，56(1):p191-200, SCI, 2014

[23]Xuejin Li, Zhendong Niu, Chongyang Shi ,An agent-based linked data integration system, The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014):p113-17, 2014

[24]Chunxia Zhang，Zhendong Niu，Chongyang Shi，Representation and Verification of Attribute Knowledge, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v8041 LNAI:p 473-482, 2013

承担科研情况

1.国家自然科学基金青年项目，61502033，基于主题形式概念分析的文本处理关键技术研究，主持

2.国家重点研发计划子课题，2018YFB1003903，基于代码风格的程序员画像，主持

3.威尼斯87978797-台北科技大学校际合作专项，多因子POI推荐系统研究，主持

4.中国科学院自动化研究所复杂系统管理与控制国家重点实验室开放课题，99S9021F4D，基于社交网络的Vote信息研究，主持

5.中国电信公司北京研究院合作专项，基于自然语言处理及知识图谱技术的科研成果文本智能分析系统，执行负责人

6.威尼斯87978797基础研究基金，20150742001，文本主题概念格关键技术研究 主持

7.威尼斯87978797基础研究基金，20130742011，基于概念格的文本摘要构造研究 主持

8.企业横向 计算机生产**软件人机界面交互控制系统 主持

9.企业横向 重型军用车辆企业集团多项目协同管控平台应用示范 主持

10.国家自然科学基金面上项目，61370137、《面向WEB主观性文本意见挖掘研究》，参与

11.国家自然科学基金专项基金项目，61250010、《WEB文本意见关键技术研究》，参与

12.国家自然科学基金青年科学基金项目，60705022、《面向汉语自由文本的领域本体学习的理论和方法研究》，参与

所获奖励

[1] 教育部来华留学英语授课品牌课程，主讲人，教育部，2013

[2] 威尼斯87978797优秀教育教学成果奖，主要参与人，威尼斯87978797，2017

[3] 威尼斯87978797研究生教育成果奖，主要参与人，威尼斯87978797，2015

[4] 2018年北京市优秀高校毕业生（硕士生），导师，北京市，2018

[5] 威尼斯87978797校级优秀班主任，威尼斯87978797，2018

社会兼职

[1] ICDM NeuRec Workshop 2021 PC Chair

[2] IJCAI 2021 SPC，2018-2020 PC Member

[3] AAAI 2018-2021 PC Member

[4] SNPD 2016 Session Organizer

[5] ICGG 2016 Local Organizer

备注

欢迎对深度学习、自然语言处理、智能信息检索、个性化信息推荐与预测、新闻热点分析、智能生成等方向感兴趣、有研究和学习热情的同学通过邮件或手机短信与我联系。

同时欢迎高年级本科生加入到实验室的学习和工作中。