People

Dr. Fei Wang is currently a Professor at Institute of Computing Technology, Chinese Academy of Sciences (CAS). He belongs to Research Center for Intelligent Equipment Systems and State Key Laboratory of AI Safety. He is working on the research, development, and application of spatio-temporal data mining, timeseries forecasting and AI4Science. Prior to that, he obtained his PhD degree at ICT, CAS under the supervision of Prof. Yongjun Xu. He is now also supervised by Prof. Xueqi Cheng. He published 50+ papers in journals (e.g., The Innovation, TKDE, TVT) and conferences (such as KDD, CIKM, ICDE, VLDB, ICML, AAAI, MM and ACL). His publications collectively gathered 5,300+ citations on Google Scholar, with h-index of 24. Among them, one paper was awarded as Best Paper by the world class journal The Innovation, one paper was awarded as Best Student Paper by DASFAA 2022, several papers (STEP, STID, DSFormer) were selected as the most influential papers ranked by PaperDigest, one paper entered ESI (Essential Science Indicators) Highly Cited Papers. He has served as the Youth Editor of The Innovation (IF=25.7, the 4th among Multidisciplinary Journals over the world; CiteScore=53.4, the 2nd among Multidisciplinary Journals over the world), and PC for prestigious conferences, including KDD, NeurIPS, IJCAI, AAAI, MM and so on.

Our lab are actively seeking highly motivated and self-driven students (RA/Master/PhD). If you are interested, feel free to reach out!

Current researcher members include: Zezhishao, Tangwen Qian, Tao Sun, Chengqing Yu.

Dr. Zezhi Shao is currently an Assistant Professor at the Institute of Computing Technology, Chinese Academy of Sciences (CAS), where he is affiliated with the Research Center for Intelligent Equipment Systems and the State Key Laboratory of AI Safety. His research interests include time series analysis, spatial-temporal data mining, and AI4Science. Prior to that, he earned his Ph.D. at the Institute of Computing Technology, CAS, under the supervision of Prof. Yongjun Xu, with additional co-supervision by Prof. Fei Wang and Prof. Wei Wei. He has published over 20 papers in top-tier journals (e.g., The Innovation, TKDE) and conferences (e.g., KDD, VLDB, CIKM). His work has been cited more than 2000 times according to Google Scholar. Notably, four of his papers—STEP, GinAR, STID, and DSFormer—were recognized as the most influential papers by PaperDigest, and two of his papers have been featured as Highly Cited Papers in ESI. He has served as a Program Committee (PC) member and reviewer for prestigious conferences and journals, including TPAMI, KDD, TKDE, NeurIPS, ICML, ICLR, IJCAI, MM, AAAI, and others. In addition to his academic contributions, he is passionate about open-source software. He has received over 2.7K stars on GitHub and is the maintainer of the popular time series project BasicTS.

Chengqing Yu is currently a PhD student at the Institute of Computing Technology, Chinese Academy of Sciences (CAS), where he is affiliated with the Research Center for Intelligent Equipment Systems and the State Key Laboratory of AI Safety, under the supervision of Prof. Yongjun Xu, with additional co-supervision by Prof. Fei Wang. His research interests include incomplete time series modeling, spatial-temporal data mining, and AI4Science. He has published over 30 papers in top-tier journals (e.g., The Innovation, TKDE, Information Fusion) and conferences (e.g., NeurIPS, KDD, AAAI, CIKM). His work has been cited more than 2000 times according to Google Scholar. Notably, two of his papers—GinAR and DSFormer—were recognized as the most influential papers by PaperDigest, and one of his paper has been featured as Highly Cited Papers in ESI. He has served as a Program Committee (PC) member and reviewer for prestigious conferences and journals, including NeurIPS, ICML, ICLR, KDD, TKDE, TITS, IJCAI, MM, AAAI, and others. In addition to his academic contributions, he is a contributor to the popular time-series analysis project BasicTS, which has attracted over 1,500 stars on GitHub.

Dr. Yujie Li is a doctoral candidate at the Institute of Computing Technology, Chinese Academy of Sciences (CAS), affiliated with the Research Center for Intelligent Equipment Systems. His research interests include multivariate time series forecasting, foundation models for time series, and AI4Science. He is pursuing his Ph.D. under the supervision of Prof. Yongjun Xu and Prof. Fei Wang. He has published several papers in leading journals and conferences such as KDD, AAAI, CIKM, and Pattern Recognition. As an early-stage researcher in data mining, he has already received multiple student honors, including the National Scholarship and annual corporate-sponsored scholarships. His independent research has accumulated nearly 50 citations on Google Scholar. In addition, he has served as a reviewer for many venues including KDD, NeurIPS, ICLR, AAAI, CIKM, Neural Networks, and Knowledge-Based Systems.