About Me


I am constantly looking for self-motivated RAs to start and build our team together!

Research Interests

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

News

The paper "Are State-of-the-Art Deep Learning Traffic Prediction Models Truly Effective?" is accepted by and will be presented at TRB 2025. See you in DC!

The paper "Scenario-driven Algorithm Selection for Transportation Planning Problem" is presented at the 33rd European Conference on Operational Research.

The paper "The Fragile Nature of Road Transportation Systems" is accepted by hEART 2024 and presented with poster.

The paper "A time-varying shockwave speed model for reconstructing trajectories on freeways using Lagrangian and Eulerian observations" is published in the journal Expert Systems With Applications.

Research and Education

Before joining CityU-DG, I was 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. [ESWA 2024] Yifan Zhang, Anastasios Kouvelas, Michail Makridis.
    "A Time-varying Shockwave Speed Model for Trajectory Reconstruction using Lagrangian and Eulerian Observations". In Expert Systems With Applications, 2024, 124298, ISSN 0957-4174.
    [Paper][Project]
  2. [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]
  3. [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]
  4. [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]
  5. [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][Project]
  6. [TR-Part C 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]
  7. [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]
  8. [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]
  9. [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]
  10. [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]
  11. [TR-Part B 2024] Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail Makridis.
    "The Fragile Nature of Road Transportation Systems". Under review of Transportation Research Part B: Methodological.
    [Paper]
  12. [TR-Part C 2024] Qishen Zhou, Yifan Zhang, Anastasios Kouvelas, Michail Makridis, Yibing Wang, Simon Hu.
    "MoGERNN: An Inductive Traffic Predictor for Unobserved Locations in Dynamic Sensing Networks". Under review of Transportation Research Part C: Emerging Technologies.

Conferences and Presentations

  1. [hEART 2024] Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail Makridis.
    "The Fragile Nature of Road Transportation Systems". In 12th Symposium of the European Association for Research in Transportation, Helsinki, Finland, June 2024.
    [Paper]
  2. [EURO 2024] Jiarui Zhang, Xiaojie Luan, Haiying Li, Yifan Zhang.
    "Scenario-driven Algorithm Selection for Transportation Planning Problem".In 33rd European Conference on Operational Research, Copenhagen, Denmark, June 2024.
    [Abstract]
  3. [STRC 2024] Yifan Zhang, Anastasios Kouvelas, Michail Makridis.
    "A Time-varying Shockwave Speed Model for Trajectory Reconstruction using Lagrangian and Eulerian Observations". In 24th Swiss Transport Research Conference, Ascona, Switzerland, May 2024.
    [Paper][Project]

Honors and Awards

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

Academic Services

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

ICRMS 2022 Session Chair

NSL Newletter "Drive Forward: Revolutionizing Traffic with Advanced Vehicle Trajectory Reconstruction".

Teaching Experiences

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

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