About Me

Research Interests

My current research interests include motion planning, trajectory prediction, car-following model, lane-change model, and intelligent transportation systems.

News

The paper "Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X)" is recently accepted by 2023 IEEE 98th Vehicular Technology Conference.

The paper "TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving" is recently accepted by IEEE Transactions on Intelligent Vehicles.

Research and Education

I am a Postdoc Research Fellow at the Institute for Transport Planning and Systems of ETH Zürich. My major research interests lie in autonomous driving, motion planning, car-following model, lane-change model, and intelligent transportation systems. I completed my doctoral degree under the supervision of Prof. Jianping Wang at City University of Hong Kong in Summer 2022. My doctoral thesis focuses on Human Driving Behavior Modeling and Applications in Autonomous Driving.

I obtained my M.Eng. degree and B.Sc. degree from ENSIIE, France (2014-2017) and Xidian University, China (2011-2015), respectively.

Publications

  1. [VTC 2023 Fall] Yang Lu, Yifan Zhang, Tuo Shi, Jianping Wang, Jen-Ming Wu, Bingyi Liu.
    "Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X)".In 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Hong Kong, October 2023.
    [Paper]
  2. [TIV 2023] Zihao Wen*, Yifan Zhang*, Xinhong Chen, Jianping Wang, Yung-Hui Li, Yu-Kai Huang.
    "TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving".In IEEE Transactions on Intelligent Vehicles, Volume 9, No. 1, pp. 2850-2863, January 2024.
    * I am the co-first author of this paper.
    [Paper]
  3. [ICRA 2023] Zihao Wen*, Yifan Zhang*, Xinhong Chen, Jianping Wang.
    "TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving".In 2023 IEEE International Conference on Robotics and Automation (ICRA), London, UK, June 2023.
    * I am the co-first author of this paper.
    [Paper]
  4. [TITS 2023] Yifan Zhang, Qian Xu, Jianping Wang, Zuduo Zheng, Kejie Lu.
    "A Learning-Based Discretionary Lane-Change Decision-Making Model With Driving Style Awareness".In IEEE Transactions on Intelligent Transportation Systems, Volume 24, No. 1, pp. 68-78, January 2023.
    [Paper]
  5. [TRPC 2022] Yifan Zhang, Xinhong Chen, Jianping Wang, Zuduo Zheng, Kui Wu.
    "A Generative Car-following Model Conditioned on Driving Styles".In Transportation Research Part C: Emerging Technologies, Volume 145, 2022, 103926, ISSN 0968-090X.
    [Paper][Project]
  6. [TIST 2021] Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, Jeff Hong.
    " Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving.".In ACM Transactions on Intelligent Systems and Technology, 13, 3, Article 39, June 2022.
    [Paper][Project]
  7. [AAAI 2020] Yifan Zhang, Jinghuai Zhang, Jindi Zhang, Jianping Wang, Kejie Lu, Jeff Hong.
    "A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving".In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), New York, USA, pp. 1202-1209, April 2020.
    [Paper][Project]
  8. [IoT 2021] Jindi Zhang, Yifan Zhang, Kejie Lu, Jianping Wang, Kui Wu, Xiaohua Jia, Bin Liu.
    "Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems".In IEEE Internet of Things Journal, Volume 8, No. 2, pp. 1140-1153, 15 January, 2021.
    [Paper]
  9. [MASS 2019] Qian Xu, Yifan Zhang, Jianping Wang, Kejie Lu.
    "Evaluating and Boosting Reinforcement Learning for Intra-domain Routing". In IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Montery, CA, USA, pp. 265-273, November 2019.
    [Paper]

Honors and Awards

  1. Postgraduate Studentship (CityU, 2018-2021)
  2. Hong Kong Computer Society Student Sponsorship 2020

Academic Services

Reviewer of IROS 2024, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Parallel and Distributed Systems, Journal of Advanced Transportation, etc.

ICRMS 2022 Session Chair

Teaching Experiences

    At CityU:
  1. Tutor for CS3201 Computer Networks. (2018-2021)
  2. Tutor for CS3103 Operating Systems. (2018-2021)

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