Name: Shi Chongyang
Discipline: Computer Science and Technology
Title: Associate Professor
Contact number:
E-mail: cy_shi@bit.edu.cn
Address: Beijing Institute of Technology Computing Center 411 Personal Information
Shi Chongyang, male, born in August 1980, PhD, Associate Professor, Visiting Scholar at the University of Technology Sydney. He received a bachelor's degree in computer science from Northeast Normal University in 2002, a master's degree in software science from Beijing Institute of Technology in 2004, and a Doctor's degree in computer science from Beijing Institute of Technology in 2011. He is currently the director of the Intelligent Information Retrieval direction of the Institute of Software Intelligence and Software Engineering, School of Computer Science, Beijing Institute of Technology. He has been engaged in research work in artificial intelligence, natural language processing, deep learning, intelligent information retrieval, personalized recommendation, opinion and emotion mining, and has rich research experience in these fields. He has presided over a number of vertical projects such as National Natural Science Foundation, National Key Research and Development Program sub-projects, Bei-Taipei University of Science and Technology cooperation Project, State Key Laboratory open project of Institute of Automation of Chinese Academy of Sciences and Basic Research Fund of Beijing Institute of Technology, and participated in a number of projects such as National Natural Science Foundation projects and New century talent funding projects of the Ministry of Education. He has presided over a number of cross-cutting projects and published more than 30 papers in international high-level journals and conferences such as TKDE, AAAI, WWW, and SIGIR. He has obtained one software copyright and 13 national patents.

Research Direction
Artificial intelligence, natural language processing, deep learning, data mining, personalized recommendation, etc.
The details include:
Intelligent information retrieval and knowledge acquisition (finding the "truth" and "connection" of facts)
Personalized predictions and recommendations (e.g., predicting the news you want to read, recommending the clothes you want to buy, etc.)
Social network emotion and opinion mining (such as Douban evaluation, rumor and false news detection, etc.)
Intelligent generation (e.g. news generation, story ending generation, paper review generation, etc.)
Etc.

Personal Information
Shi Chongyang, male, born in August 1980, PhD, Associate Professor, Visiting Scholar at the University of Technology Sydney. He received a bachelor's degree in computer science from Northeast Normal University in 2002, a master's degree in software science from Beijing Institute of Technology in 2004, and a Doctor's degree in computer science from Beijing Institute of Technology in 2011. He is currently the director of the Intelligent Information Retrieval direction of the Institute of Software Intelligence and Software Engineering, School of Computer Science, Beijing Institute of Technology. He has been engaged in research work in artificial intelligence, natural language processing, deep learning, intelligent information retrieval, personalized recommendation, opinion and emotion mining, and has rich research experience in these fields. He has presided over a number of vertical projects such as National Natural Science Foundation, National Key Research and Development Program sub-projects, Bei-Taipei University of Science and Technology cooperation Project, State Key Laboratory open project of Institute of Automation of Chinese Academy of Sciences and Basic Research Fund of Beijing Institute of Technology, and participated in a number of projects such as National Natural Science Foundation projects and New century talent funding projects of the Ministry of Education. He has presided over a number of cross-cutting projects and published more than 30 papers in international high-level journals and conferences such as TKDE, AAAI, WWW, and SIGIR. He has obtained one software copyright and 13 national patents.

Personal Information
Shi Chongyang, male, born in August 1980, PhD, Associate Professor, Visiting Scholar at the University of Technology Sydney. He received a bachelor's degree in computer science from Northeast Normal University in 2002, a master's degree in software science from Beijing Institute of Technology in 2004, and a Doctor's degree in computer science from Beijing Institute of Technology in 2011. He is currently the director of the Intelligent Information Retrieval direction of the Institute of Software Intelligence and Software Engineering, School of Computer Science, Beijing Institute of Technology. He has been engaged in research work in artificial intelligence, natural language processing, deep learning, intelligent information retrieval, personalized recommendation, opinion and emotion mining, and has rich research experience in these fields. He has presided over a number of vertical projects such as National Natural Science Foundation, National Key Research and Development Program sub-projects, Bei-Taipei University of Science and Technology cooperation Project, State Key Laboratory open project of Institute of Automation of Chinese Academy of Sciences and Basic Research Fund of Beijing Institute of Technology, and participated in a number of projects such as National Natural Science Foundation projects and New century talent funding projects of the Ministry of Education. He has presided over a number of cross-cutting projects and published more than 30 papers in international high-level journals and conferences such as TKDE, AAAI, WWW, and SIGIR. He has obtained one software copyright and 13 national patents.

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
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] 北京理工大学优秀教育教学成果奖，主要参与人，北京理工大学，2017
[3] 北京理工大学研究生教育成果奖，主要参与人，北京理工大学，2015
[4] 2018年北京市优秀高校毕业生（硕士生），导师，北京市，2018
[5] 北京理工大学校级优秀班主任，北京理工大学，2018