- 2025.01: I’m happy to share that I’m starting a new position as UESTC100 Young Professor! My team (Trustworthy Intelligence and Mobility SystEms Group, TIME) is currently recruiting postdoctoral fellows, doctoral students, master’s students, interns, joint training students, researchers, and engineers. I warmly welcome students with strong programming skills, a solid foundation in mathematics, and a passion for scientific research to join us. Together, let us forge ahead and explore the frontiers of knowledge and innovation. For details on the specific benefits and compensation for certain positions, please click here.
- 2024.07: Our Special Issue on Advanced Autonomous Mobility toward Low-Altitude Economy and Three-Dimensional Transportation Systems has been accepted by Drones (IF: 4.4; WOS-JIF: Q1; CAS-JCR: Q2)!
- 2024.05: Our research on Robust Multi-Objective Reinforcement Learning (Robust Multi-Objective Reinforcement Learning Considering Environmental Uncertainties) has been accepted by IEEE Transactions on Neural Networks and Learning Systems!
- 2024.04: Our research on Trustworthy Autonomous Driving (Trustworthy Autonomous Driving via Defense-Aware Robust Reinforcement Learning against Worst-Case Observational Perturbations) has been accepted by Transportation Research Part C: Emerging Technologies!
- 2024.04: Our ITSC 2024 Invited Session-Enhancing Trustworthiness and Resilience of Connected and Autonomous Vehicles in Adversarial Environments has been accepted! Welcome to choose our session! Submission Code: 24gfd
- 2024.01: Our research on Safe Autonomous Driving (Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles) has been accepted by IEEE/ASME Transactions on Mechatronics!
- 2024.01: Our research on Trustworthy Brain-Like Machine Intelligence (Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving) has been featured by Official Media of Nanyang Technological University.
- 2023.12: Our research on Trustworthy Brain-Like Machine Intelligence (Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving) has been featured by IEEE Spectrum Magazine: Neural Reactions to Fear Make AI Drive More Safely.
- 2023.10: Our research on Brain-Like Machine Intelligence (Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving) has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence!
- 2023.10: Our research on Personalized Robotic Control (Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning) has been accepted by Neurocomputing!
- 2023.10: Our research on Trustworthy Autonomous Driving (Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees) has been accepted by Engineering!
- 2023.09: Our research on Multi-Objective Decision Making (Toward personalized decision making for autonomous vehicles: A constrained multi-objective reinforcement learning technique) has been accepted by Transportation Research Part C: Emerging Technologies!
- 2023.09: Our research on Sampling Efficient Reinforcement Learning (Sampling efficient deep reinforcement learning through preference-guided stochastic exploration) has been accepted by IEEE Transactions on Neural Networks and Learning Systems!
- 2023.09: Our research on Transformer-Enabled Reinforcement Learning for Autonomous Navigation (Goal-guided transformer-enabled reinforcement learning for efficient autonomous navigation) has been accepted by IEEE Transactions on Intelligent Transportation Systems!
- 2023.07: Our research on Energy-Aware Cooperative Driving (Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving With Deep Multiagent Reinforcement Learning) has been accepted by IEEE Vehicular Technology Magazine!
- 2023.05: Our research on Energy-Efficient Autonomous Driving (Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach) has been accepted by IEEE/CAA Journal of Automatica Sinica!
- 2023.01: Our research on Robust Goal-Conditioned Robotic Control (Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach) has been accepted by IEEE Transactions on Artificial Intelligence!
