Ji Xiaoqiang

Ji Xiaoqiang

Ph.D. (Columbia University, New York, US)

jixiaoqiang@cuhk.edu.cn | Google Scholar

Tin Lun LAM

Assistant Professor and Ph.D. supervisor, The Chinese University of Hong Kong, Shenzhen

Deputy Director, the Guangdong Engineering Research Center for Embodied-AI Robotics

Expert Committee Member, the China Simulation Federation Intelligent IOT Systems

Principal Scientist, the ASEAN - China Artificial Intelligence Laboratory

个人简介

冀晓强教授在美国哥伦比亚大学获得博士学位，现任香港中文大学（深圳）理工学院助理教授、博士生导师，广东省具身智能机器人工程技术研究中心副主任，中国仿真学会智能物联专委会委员，东盟 - 中国人工智能实验室首席科学家。 他的研究主要集中在智能控制系统，主持多项科研及人才项目，包括国家自然科学基金数据科学与人工智能前沿探索课题、深圳市重大专项、广东省面上等。至今在IEEE Transactions on Automatic Control (TAC)、Automatica、Journal of Field Robotics (JFR)、IEEE/ASME T-Mech、T-ASE、RA-L、CDC、ICRA等顶尖国际期刊及会议发表论文五十余篇。特别是在非最小相位系统方面，是该领域全球范围内学习控制设计的推动者之一。他担任包括IEEE-TAC在内的多个顶级期刊及会议的审稿人、MECC副编辑、Robot Learning青年编委、IROS、RCAR等国际会议领域主席，并于近期获得CINT优秀论文奖、ISUI最佳论文奖等。 冀教授带领的人工智能控制与决策实验室，是一个学科交叉平台，需要深度融合控制论、人工智能、机器人学、高性能计算、大数据等基础科学，致力于开展人工智能与智能系统领域的基础理论与原创性研究。

项目

代表著作

Journals:(*Corresponding author)
  1. S. Zhu, Xiaoqiang Ji*, R. Longman, and Y. Xu. Presicion tracking for non-minimum phase LPTV systems via a lifted time stable inversion. IEEE Transactions on Automatic Control (TAC), 10.1109, pp. 1-8, 2025.
  2. Xiaoqiang Ji*, S. Zhu, Y. Xu, and R. Longman. Lifted time stable inversion based feedforward control for linear non-minimum phase systems, Automatica, vol. 171, pp. 111979, 2025.
  3. H.Wan, Y.Zhang, J.Wang, D.Wu, M.Li, X.Chen, Y.Deng, Y.Huang, Z.Sun, L. Zhang and Xiaoqiang Ji*. Toward universal embodied planning in scalable heterogeneous collaboration and control, Journal of Field Robotics (JFR), 1556-4959, 2025.
  4. H.Wan, J.Cheng, Y.Deng, D.Wu, Y.Chen, Z.Lin, J.Liu, J.Yu and Xiaoqiang Ji*. Towards physics aware embodied control with graph based object-centric learning. ACM Transactions on Cyber-Physical Systems (T-CPS), Just Accepted, doi.org/10.1145/3765628, 2025.
  5. H.Wan, Y.Chen, Y.Deng, Z.Wei, D.Li, Z.Lin, D.Wu, J.Cheng, and Xiaoqiang Ji*. EmbodiedAgent: A scalable hierarchical approach to overcome practical challenge in multi-robot control, 2025 IEEE/RSJ Internaitonal Conference on Intelligent Robots and Systems (IROS), accepted, 2025.
  6. S.Zhu, Xiaoqiang Ji*, R. Longman, and Y. Xu. Lifted time stable inversion based high precision feedforward control for non-minimum phase systems, IEEE 63rd Conference on Decision and Control (CDC), December 16-19, 2024.
  7. Xiaoqiang Ji, X.Zhang, S.Zhu, F.Deng and B.Zhu. Data-driven adaptive consensus control for heterogeneous nonlinear multi-agent systems using online reinforcement learning, Neurocomputing, Vol. 596, 127818, 2024.
  8. J.Li, C.Zhao, Xiaoqiang Ji*, M.Li, G.Lu, Y.Xu, and D.Zhang. Multi-view instance attention fusion network for classification, Information Fusion, Vol. 101, 101974, 2024.
  9. K.Xue, Xiaoqiang Ji*, D.Qu, Y.Peng and H.Qian*. Oboat: An agile omnidirectional robotic platform for unmanned surface vehicle tasks, IEEE/ASME Transactions on Mechatronics (T-Mech), vol.28, no.5, pp.2413-2424, Oct. 2023.
  10. S. Zhu, Y. Wang, B. Zhu, and Xiaoqiang Ji*. Tracking error boundary of novel stable inversion based feedforward control for a class of non-minimum phase systems, CINT, vol 1714, Springer, 2023. [Excellent Paper Award]
  11. K.Xue, C.Ren, Xiaoqiang Ji*, and H. Qian*. Design, modeling and implementation of a projectile-based mechanism for USVs charging tacks, IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 1, pp. 360-367, Jan. 2023.
  12. Xiaoqiang Ji, and R. Longman. Two new stable inverses of discrete time systems, Astrodynamics Specialist Conference, AAS/American Institute of Aeronautics and Astronautics (AIAA), vol. 171(1), 2020, pp. 4137-4143.