Fei Wang

Fei Wang

Associate Researcher, Institute of Computing Technology, Chinese Academy of Sciences

Fei Wang 王飞

I am now an associate researcher at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). Before that, I received my PhD degree from the ICT，CAS under the supervision of Prof. Yongjun Xu in July 2017.

My major research interests are in Spatio-temporal Data Mining, Time Series Analysis, and AI for Science. My current research focus is on scale-adaptive unsupervised spatio-temporal data (ST data) learning, with a primary emphasis on cross-domain distribution characteristic analysis of ST data, representative ST data synthesis, fair and scalable benchmark for ST models, architectural innovation of high-efficiency ST models, ST foundational models, and the application of related foundational theories to technological and systemic innovations in diverse scientific and industrial fields.

News

  • 2025/02/26 Dr. Fei Wang is selected as Youth Editor of The Innovation!
  • 2025/01/19 One amazing review about MetaCity is accepted by The Innovation, congrats to all!
  • 2024/12/26 One commentary about AI in autonomous vehicles is accepted by The Innovation, congrats to all!
  • 2024/12/12 One commentary about Spatial-Temporal Large Models for Science is accepted by The Innovation, congrats to Zezhi!
  • 2024/12/10 Two papers are accepted by AAAI, congrats to all!
  • 2024/11/04 One editoral about AI impact on world is published on The Innovation, congrats to all!
  • 2024/10/16 One paper about BasicTS+ is accepted by TKDE，congrats to Zezhi’s longtime effort!
  • 2024/08/22 One high-quality review of “AI for Geoscience,” with Dr. Fei Wang as a co-first author, is published by The Innovation, congrats to all!
  • 2024/07/28 One paper about Multi-Granularity Spatiotemporal Fusion Transformer is accepted by Information Fusion, congrats to Chengqing!
  • 2024/07/05 Dr. Fei Wang is awarded the Best Paper Award by The Innovation!
  • 2024/05/17 One paper about MTS Forecasting suitable for Variable Missing is accpeted by KDD, congrats to Chengqing！
  • 2024/02/20 One paper about Self-Improvement Programming for TKGQA is accepted by LREC-COLING, congrats to Zhuo！
  • 2023/12/15 One paper about Dynamic Frequency Domain Graph Convolutional Network is accepted by ICASSP, congrats to Yujie!
  • 2023/12/01 One paper about Trajectory Domain Generalization is accepted by ICDE, congrats to Tangwen!

Hornors and Awards

  • 2024, The Innovation Best Paper Award
  • 2024, Most Liked Poster Award, Research Summit of Urban Sciences and Human Dynamics
  • 2024, Most Influential CIKM 2022 Papers #1 (2024-09 ranked by PaperDigest)
  • 2024, Most Influential CIKM 2023 Papers #5 (2024-09 ranked by PaperDigest)
  • 2024, Most Influential KDD 2022 Papers #4 (2024-09 ranked by PaperDigest)
  • 2022, Youth Innovation Promotion Association of CAS
  • 2022, DASFAA Best Student Paper (DASFAA 2022)

Academic Services

  • Publicity Chair: WebST 2025
  • PC Member: IJCAI 2025, KDD 2025, KDD 2024, AAAI 2022, AAAI 2023, AAAI 2024
  • Reviewer：IEEE TPAMI, IEEE TKDD, IEEE TKDE, IEEE TVT, The Innovation, Information Fusion, Pattern Recognition, ESWA, Knowledge-Based Systems, Neural Networks



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