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Research
My research group focuses on some fundamental problems in data mining, machine learning,
and artificial intelligence in health and medicine, 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, Sohu Inc. (Sogou Inc.), and ByteDance. 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.
·
Publications
o From
DBLP or Google Scholar Citations
o Selected publications
·
Research group
Teaching
 Software
Engineering (Under-Graduate
course, Tsinghua University)
· Autumn
2020-
Data
Mining: Principles and Algorithms (Graduate course, Tsinghua University)
· Spring
2006, Spring 2007, Autumn 2007-
Computer
Networks and Distributed Systems (Graduate
course, Peking University)
· Autumn
1999, Autumn 2000
Academic service & Membership
Useful
Links
Journals: TKDE, TKDD, TODS, VLDB J., DMKD, TPAMI, JMLR,
ML, Bioinformatics, SIGIR, TOIS, TNNLS
TWEB,
JDIQ, KAIS , DKE
Conferences: SIGKDD, WWW, SIGMOD,
VLDB,
ICDE,
NeurIPS, ICML, ICLR, IJCAI, AAAI, SIGIR, ACL
ICDM, SIAM-SDM, WSDM, ECML/PKDD,
EDBT,
CIKM,
ICDT, EMNLP
PAKDD, DEXA, DASFAA, DaWak, APWeb, WAIM
Most cited papers published in SIGMOD, VLDB, and
ICDE
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