L O T V S

Jianwu Fang     Jianwu Fang received a Ph.D. degree in SIP (signal and information processing) from the University of Chinese Academy of Sciences, China in 2015. He is currently an Associate Professor and was selected as a member of “Young Talent Support Plan” at the Institute of Artificial Intelligence and Robotics in Xian Jiaotong University, Xian, China. He was a visiting scholar at the NExT++ Research Centre in the School of Computing, National University of Singapore (NUS), Singapore. He has published many papers in top-ranked journals and conferences, such as IEEE-TITS, IEEE-TPAMI, IEEE-TCYB, IEEE-TCSVT, AAAI, ICRA, ITSC, etc. He is the chair of the special sessions of “Parallel Vision for Intelligent Vehicles" (ITSC 2022) and “Safe-Critical Scenario Understanding in Intelligent Transportation Systems" (ITSC 2023). He received the Best Paper Nominees Award in ITSC 2023. His research interests include computer vision, multimedia analysis, and their applications in intelligent transportation. [CV] [中文主页]

Academic
  • IEEE Member, CAA Member, CCF Member, CAAI Member
  • Vice Secretary-General: Hybrid Intelligence Committee in Chinese Association of Automation.
  • Vice Secretary-General: Xi’an Artificial Intelligence Innovation and Development Alliance.
  • Youth Editorial Board Member: Journal of Unmanned System Technology (Chinese Version).
  • Co-chair: 2018 IEEE Intelligent Vehicles Symposium (IV’18) workshop on “Traffic Scene Understanding of Automated Vehicles”.
  • Journal Reviewers: IEEE Transactions on Intelligent Transportation Systems (reviewed over 40 papers from 2017 to now), IEEE Transactions on Cybernetics, IEEE Transactions on Circuit Systems for Video Technology, IEEE Transactions on Industrial Informatics, etc.
  • Conference PC Member or Reviewers: Over 100 times of conference reviewing, e.g., IJCAI-PRICAI, ICRA, ITSC, ICPR, ACMMM, BMVC, etc
Services
  • As a faculty at CHD:
    • 1/2017-12/2019, ’Anomaly detection for multiple heterogeneous videos via constructively high-order context learning’, National Natural Foundation of China. Grant-61603057, RMB 220,000. role: PI
    • 1/2017-12/2018, ’Vehicle Re-identification in Tunnels Scenes with Group-wise Structure Modeling and Learning’, Natural Science Foundation of Shaanxi Province, Grant-2017JQ6041, RMB 30,000. role: PI
    • 1/2020-12/2021, ’Driving Anomaly Prediction Guided by Driver Attention’, The Fundamental Research Funds for the Central Universities, Grant, RMB 150,000. role: PI
  • As a Post Doctoral Researcher at XJTU:
    • 01/2017-12/2018, ’Intention Prediction of Traffic Participants by Modeling the Context Evolution of Multi-source Vision Information’, Chinese Postdoctoral Science Foundation. Grant-2017M613152, RMB 50,000. role: PI
    • 06/2016-06/2020, ’Deep Perception of Big Vision Data’, National Key Research and Development Project. RMB 14.46 million, role: Key PP
    • 01/2018-12/2020, ’Human-like Understanding and Autonomous Driving in Complex Scenes’, National Natural Key Foundation of China. RMB 2.2 million, role: Key PP

© 2020 Chang ' an university · Xi'an, China