Shiyao Zhang

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Shiyao Zhang

Assistant Professor (研究员,博士生导师)
School of Advanced Engineering
Great Bay University

Email:      zhangshiyao@gbu.edu.cn
Address:  School of Advanced Engineering
Great Bay University, Dongguan City, China

Google Scholar | ResearchGate

I am an Assitant Professor in the School of Engineering, Great Bay University. Previously, I was a Research Assistant Professor in the Research Institute for Trustworthy Autonomous Systems and Department of Computer Science and Engineering at the Southern University of Science and Technology. Before that, I was a Postdoctoral research fellow at the Southern University of Science and Technology, working with Dr. James J. Q. Yu. I received my Ph.D. degree in Electrical and Electronic Engineering from the University of Hong Kong, where Prof. Lawrence K. Yeung was my primary supervisor and Dr. Ka-Cheong Leung was my co-supervisor. I received my M.S. degree in Electrical Engineering from University of Southern California, Los Angeles, CA, USA. I received my B.S. degree in Electrical and Computer Engineering from the Purdue University, West Lafayette, IN, USA (Graduate with Distinction).

Group Information

    Our group has Postdoctoral Research Fellow and Research Assistant openings. If you are interested, please send me your CV through email.

Research Interest

  • Intelligent Transportation Systems

  • Autonomous Driving

  • Embodied AI

  • Transportation Electrification

News & Updates:

    2025:

  • [January 2025] Our work entitled "CLEAR: Spatial-temporal Traffic Data Representation Learning for Traffic Prediction," has been accepted for publication in IEEE Transactions on Knowledge and Data Engineering!

  • [January 2025] I joined Great Bay University as an Assistant Professor on January 02, 2025!

  • 2024:

  • [December 2024] Our work entitled "Efficient Federated Connected Electric Vehicle Scheduling System: A Noncooperative Online Incentive Approach," has been accepted for publication in IEEE Transactions on Intelligent Transportation Systems!

  • [December 2024] Our work entitled "Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space," has been accepted for publication in the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025)!

  • [October 2024] Our work entitled "Transformer-Empowered Predictive Beamforming for Rate-Splitting Multiple Access in Non-Terrestrial Networks," has been accepted for publication in IEEE Transactions on Wireless Communications!

  • [October 2024] Our work entitled "Map-Informed Trajectory Recovery with Adaptive Spatio-Temporal Autoencoder," has been accepted for publication in IEEE Transactions on Intelligent Transportation Systems!

  • [September 2024] Our work entitled "Seeing is NOT Always Believing! Unveiling the True Symmetric Moral Consistency of Large Language Models," has been accepted for publication in the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)!

  • [August 2024] The special issue on “Graph-Based Learning Methods in Intelligent Transportation Systems” in Electronics is announced. I am invited as one of the Guest Editors. Paper Submission Deadline: July 31, 2025. Looking forward to receiving your submission to this SI!

  • [June 2024] Our work entitled "Uncertainty-Aware Lidar-based Autonomous Cooperative Platooning," has been accepted for IROS 2024!

  • [June 2024] Our work entitled "Non-Cooperative Coupled Microgrid-Transportation Coordination System: A Deep Deterministic Policy Gradient-Based Approach," has been accepted for publication in International Journal of Electrical Power and Energy Systems!

  • [June 2024] Our work entitled "GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation," has been accepted for publication in IEEE Internet of Things Journal!

  • [April 2024] Our work entitled "Transformer-based Channel Prediction for Rate-Splitting Multiple Access-enabled Vehicle-to-Everything Communication," has been accepted for publication in IEEE Transactions on Wireless Communications!

  • [April 2024] Our work entitled "ST-AGNet: Dynamic Power System State Prediction with Spatial-Temporal Attention Graph-Based Network," has been accepted for publication in Applied Energy!

  • 2023:

  • [December 2023] Our work entitled "A Generalized Feature Projection Scheme for Multi-Step Traffic Forecasting," has been accepted for publication in Expert Systems with Applications!

  • [September 2023] Our work entitled "DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model," has been accepted for publication in the Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023)!

  • [August 2023] Our work entitled "Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm," has been accepted for publication in IEEE Transactions on Vehicular Technology!

  • [July 2023] Our work entitled "SAM: Query-Efficient Adversarial Attacks Against Graph Neural Networks," has been accepted for publication in ACM Transactions on Privacy and Security!

  • [May 2023] Our work entitled "Online Joint Ride-Sharing and Dynamic Vehicle-to-Grid Coordination for Connected Electric Vehicle System," has been accepted for publication in IEEE Transactions on Transportation Electrification!

  • [April 2023] Our work entitled "Traffic Prediction with Transfer Learning: A Mutual Information-based Approach," has been accepted for publication in IEEE Transactions on Intelligent Transportation Systems!

  • [February 2023] Our work entitled "Non-Cooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms," has been accepted for publication in IEEE Internet of Things Journal!

  • [January 2023] Our work entitled "Rate Splitting Multiple Access-based Satellite-Vehicular Communication System: A Non-cooperative Game Theoretical Approach," has been accepted for publication in IEEE Open Journal of Communications Society!

  • 2022:

  • [December 2022] Our work entitled "Traffic Prediction with Missing Data: A Multi-task Learning Approach," has been accepted for publication in IEEE Transactions on Intelligent Transportation Systems!

  • [December 2022] Our work entitled "Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization," has been accepted for publication in IEEE Journal on Selected Areas in Communications!

  • [October 2022] Our work entitled "Attention-Driven Recurrent Imputation for Traffic Speed," has been accepted for publication in IEEE Open Journal of Intelligent Transportation Systems!

  • [August 2022] The special issue on “Intelligent Transportation System in the New Normal Era” in Sustainability is announced. I am invited as one of the Guest Editors. Paper Submission Deadline: July 31, 2023. Looking forward to receiving your submission to this SI!

  • [August 2022] I joined Southern University of Science and Technology as a Research Assistant Professor on August 01, 2022!