- 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!