I am an Associate professor in the School of Cyber Science and Technology at Beijing Jiaotong University, as well as founder and director of the Reinforced Artificial Intelligence Laboratory (RAIL). In my research, I focus on how to enable autonomous agents to acquire complex behaviors that are both safe and effective through learning. Thus, my research interests include artificial intelligence security, reinforcement learning, multiagent systems, and automated negotiation. If you are seeking any form of academic cooperation, please feel free to email me at edtong@bjtu.edu.cn.
π₯ News
- 2024.06: Β π Shiyao Chen has been awarded the Outstanding Masterβs Thesis at Beijing Jiaotong University.
- 2024.06: Β π Yalun Wu receives support for graduate innovation project from Beijing Jiaotong University.
- 2024.01: Β π The first gift exchange event has been a complete success.video
- 2023.04: Β π Our paper is accepted by IJCAI 2023.
- 2022.08: Β π We receive the second place in the AutoDriving CTF at DEFCON 30.
- 2021.12: Β π We receive the APPT 2021 Innovation Award - Honorable Mention.
- 2021.08: Β π We are the Runner up Winners of the AutoDriving CTF at DEFCON 29.
π Publications
For more papers, please refer to DBLP or Google Scholar.
- Improving the Robustness of Pedestrian Detection in Autonomous Driving with Generative Data Augmentation, IEEE Network 2024
- Toward Learning Model-Agnostic Explanations for Deep Learning-Based Signal Modulation Classifiers, IEEE Transactions on Reliability 2024
- Robust Reinforcement Learning via Progressive Task Sequence, IJCAI 2023
- A Missing QoS Prediction Approach via Time-aware Collaborative Filtering, IEEE Transactions on Services Computing 2022
- Multi-Agent Reinforcement Learning-based Signal Planning for Resisting Congestion Attack in Green Transportation, IEEE Transactions on Green Communications and Networking 2022
- A Mutual Information-based Assessment of Reverse Engineering on Rewards of Reinforcement Learning, IEEE Transactions on Artificial Intelligence 2022
- A Hierarchical Energy-Efficient Service Selection Approach With QoS Constraints for Internet of Things, IEEE Transactions on Green Communications and Networking 2021
- Adversarial retraining attack of asynchronous advantage actor-critic based pathfinding, International Journal of Intelligent System 2021
- Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory, SRDS 2021
- Robustness Assessment of Asynchronous Advantage Actor-Critic Based on Dynamic Skewness and Sparseness Computation: A Parallel Computing View, Journal of Computer Science and Technology 2021
- Energy-aware service selection and adaptation in wireless sensor networks with QoS guarantee, IEEE Transactions on Services Computing 2020
π Honors and Awards
- Outstanding Ph.D. Graduates of the University of Chinese Academy of Sciences, and Beijing.
- Woqi Excellent Young Teacher Award.
- APPT 2021 Innovation Award - Honorable Mention.
- Runner up Winner of the AutoDriving CTF at DEFCON 29.