• Jianyong WANG
• Professor
• Department of Computer Science and Technology
• Joined Department: 2005
• Email: jianyong@tsinghua.edu.cn
• URL: http://dbgroup.cs.tsinghua.edu.cn/wangjy
• Phone: +86-10-62789150
Education background
Bachelor of Computer Science, Lanzhou University, Lanzhou, China, 1991;
Master of Computer Science, Beijing University of Technology, Beijing, China, 1996;
Ph.D. in Computer Science, Chinese Academy of Sciences, Beijing, China, 1999.
Social services
Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, deputy director of academic committee (2018-2020)
Beijing Academy of Artificial Intelligence (BAAI), principal investigator (2019-2021)
IEEE Transactions on Knowledge and Data Engineering, associate editor (2011-2016)
ACM Trans. on Knowledge Discovery from Data, associate editor (2016-2024)
Journal of Alzheimer's Disease, associate editor (2023)
Journal of Personalized Medicine, Editorial Board Member (2023-2024)
Journal of Software, Editorial Board Member (since 2011)
Program co-chair of IEEE ICDM’19, WISE’15, BioMedCom’14, WAIM’13, ADMA’11, and NDBC’10
Areas of Research Interests
Data mining, Machine learning, AI in health and medicine
Research Status
My research focuses on various data mining algorithms and their novel applications, and is partially supported by National Natural Science Foundation of China, National Key Research and Development Program of China, National Basic Research Program of China (i.e., 973 program), State Education Ministry of China, Microsoft Research, Google Inc., HP Labs Innovation Research Program, the Okawa Foundation Research Grant (Japan), Samsung Inc. (Korea), Huawei Technologies Co., Ltd, and Sohu Inc. (Sogou Inc.). Some data mining algorithms and machine learning models proposed by my research group have become the state-of-the-art approaches, typical examples include the BIDE closed sequential pattern mining algorithm, the GSDMM topic model for short text clustering, and the RRL neuro-symbolic classifier which achieves both high classification performance and good interpretability.
Honors and Awards
KDD China 2024 “Test of Time Award”
IEEE Fellow, for development of efficient data mining algorithms, since 2017.01.01
Fellow of Chinese Association for Artificial Intelligence (CAAI), since 2017.01.01
HP Labs Innovation Research awards (twice in both years 2009 and 2010)
Okawa Foundation Research Grant, 2009
Best posters award, the WWW 2008 conference (a.k.a. the Web Conference)
Recipient of New Century Excellent Talents Program, Ministry of Education of China, 2007
Academic Achievement
[1] Jianyong Wang, Jiawei Han. BIDE: Efficient Mining of Frequent Closed Sequences. IEEE ICDE’04. (Most cited paper in ICDE 2004 )
[2] Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. A Framework for Clustering Evolving Data Streams. VLDB’03. (Most cited paper in VLDB 2003)
[3] Jianyong Wang, Jiawei Han, Jian Pei. CLOSET+: searching for the best strategies for mining frequent closed itemsets. ACM SIGKDD’03
[4] Jianyong Wang, George Karypis. On Mining Instance-Centric Classification Rules. IEEE TKDE 2006.
[5] Jianyong Wang, Zhiping Zeng, Lizhu Zhou. CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases. IEEE ICDE’06
[6] Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis.Out-of-core coherent closed quasi-clique mining from large dense graph databases. ACM TODS 2007
[7] Jianhua Yin, Jianyong Wang. A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering. ACM SIGKDD’14. (One of the most cited papers in KDD 2014)
[8] Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS’21
[9] Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. Learning Interpretable Rules for Scalable Data Representation and Classification. IEEE TPAMI 2024
[10] Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei. You Only Cache Once: Decoder-Decoder Architectures for Language Models. NeurIPS 2024 (Oral).
