Yihang Tao
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Yihang Tao (陶祎航) |
About Me
Yihang Tao received the B.S. degree from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2021 and received his M.S. degree from the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2024. Currently, he is pursuing his PhD degree in the Department of Computer Science at City University of Hong Kong (Advisor: Prof. Yuguang “Michael” Fang). His current research interests include collaborative perception, decentralized multi-agent communication, driving digital twin and world model. He serves as the program committee member for ICLR 2025, AAAI 2025, IEEE GLOBECOM 2023-2024, and the reviewer for IEEE TITS, EAAI, Pattern Recognition, etc.
Research Interests
Collaborative perception
Decentralized multi-agent communication
Driving digital twin and world model
News
October 2024: Our paper entitled “R-ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications” was submitted.
September 2024: Our paper entitled “Direct-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention” was submitted.
August 2024: Our paper entitled “Adversarial Agent Detection in Collaborative Bird's Eye View Perception” was submitted.
July 2024: Our paper entitled “O-RAN-Based Digital Twin Function Virtualization for Sustainable IoV Service Response: An Asynchronous Hierarchical Reinforcement Learning Approach” was accepted by IEEE TGCN!
May 2024: I was nominated as the Outstanding Graduate by Shanghai Jiao Tong University!
December 2023: I was nominated as the session chair for IEEE GLOBECOM 2023!
October 2023: I was awarded the WEICHAI POWER Scholarship by Shanghai Jiao Tong University!
August 2023: Our paper entitled “Digital Twin and DRL-Driven Semantic Dissemination for 6G Autonomous Driving Service” was accepted by IEEE GLOBECOM 2023!
Feburary 2023: Our paper entitled DRL-Driven Digital Twin Function Virtualization for Adaptive Service Response in 6G Networks was accepted by IEEE Networking Letters!
Academic Background
City University of Hong Kong, Hong Kong SAR (2024-now)
PhD student, Computer Science
Advisor: Prof. Yuguang “Michael” FangShanghai Jiao Tong University, Shanghai, China (2021-2024)
Master of Engineering, Electronic Information
Southeast University, Nanjing, China (2017-2021)
Bachelor of Engineering, Information Engineering