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Pengfei Wang

Full Professor

Computer Network Information Center, Chinese Academy of Sciences

Email:

pfwang[AT] cnic[DOT]cn;

wpf2106[AT]gmail[DOT]com

Google Scholar

Short Biography

Dr. Pengfei Wang received his B.S. degree from Jilin University and received his Ph.D. degree from the Chinese Academy of Sciences. He has published over 50 papers in renowned international conferences and journals in the fields of data mining and artificial intelligence, including Cell Research, ACM SIGKDD, IJCAI, WWW, IEEE ICDM, AIJ, IEEE TKDE, and ACM TWEB. He is a PC member for some top academic conferences such as KDD, NeurIPS, ICLR, WWW, IJCAI, and AAAI.

Research Interests

Dr. Pengfei Wang has broad interests in data mining and machine learning, especially in Spatial-Temporal Graph Data Mining, Reinforcement Learning, Large Language Models (LLM), and AI for Science (AI4S). Most of the methods are motivated by real-world applications, such as flow predictions and behavior analysis.

Inter

The research group works closely with esteemed professors from both domestic and international institutions, such as Arizona State University, the University of Wisconsin-Madison, Portland State University, the University of Kansas, the University of Macau, Tsinghua University, and the Hong Kong University of Science and Technology (Guangzhou). Students can be recommended for advanced studies.
The group maintains strong collaborations with research teams from leading internet companies, including Alibaba, Tencent, ByteDance, and Meituan, offering recommendations for outstanding individuals seeking internships or full-time positions.

News

04/2025 One paper on AI-ready dataset is accepted by Advanced Science.
12/2024 One paper on Drug-drug interaction is accepted by AAAI'25.
09/2024 One paper on Semi-supervised Multi-label Learning is accepted by NeurIPS'24.
09/2024 One paper on single-cell foundation model is accepted by Cell Research (cover story).
09/2024 One paper on efficient university courses is accepted by ICDM'24.
07/2024 Two papers are accepted by CIKM'24. One is on multi-modal learning (regular), and the other is on drug-drug interaction (short).
07/2024 One paper on gene regulatory networks is accepted by Briefings In Bioinformatics.
04/2024 Three papers are accepted by IJCAI'24.
03/2024 Two papers are accepted by DASFAA'24.
01/2024 One paper on temporal knowledge reasoning is accepted by Artificial Intelligence (AIJ).
01/2024 One paper on spatial-temporal delay effects is accepted by WWW'24.