Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Y Sun, R Zheng, Y Liang, F Huang
The 10th International Conference on Learning Representations (ICLR 2022), 2022
78 2022 Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Y Sun, D Huo, F Huang
9th International Conference on Learning Representations (ICLR 2021)., 2021
58 2021 Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Y Liang, Y Sun, R Zheng, F Huang
The 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022
57 2022 SMART: Self-supervised Multi-task pretrAining with contRol Transformers Y Sun, S Ma, R Madaan, R Bonatti, F Huang, A Kapoor
International Conference on Learning Representations (ICLR) 2023, 2023
49 2023 R Zheng, X Wang, Y Sun, S Ma, J Zhao, H Xu, H Daumé III, F Huang
Advances in Neural Information Processing Systems 36, 2024
43 2024 Exploring and exploiting decision boundary dynamics for adversarial robustness Y Xu, Y Sun, M Goldblum, T Goldstein, F Huang
arXiv preprint arXiv:2302.03015, 2023
36 2023 Understanding generalization in deep learning via tensor methods J Li, Y Sun, J Su, T Suzuki, F Huang
International Conference on Artificial Intelligence and Statistics, 504-515, 2020
34 2020 Temple: Learning template of transitions for sample efficient multi-task RL Y Sun, X Yin, F Huang
35th AAAI Conference on Artificial Intelligence (AAAI 2021)., 2021
24 2021 Transfer RL across Observation Feature Spaces via Model-Based Regularization Y Sun, R Zheng, X Wang, A Cohen, F Huang
The 10th International Conference on Learning Representations (ICLR 2022), 2022
21 2022 Certifiably robust policy learning against adversarial multi-agent communication Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
The Eleventh International Conference on Learning Representations, 2023
19 2023 Is imitation all you need? generalized decision-making with dual-phase training Y Wei, Y Sun, R Zheng, S Vemprala, R Bonatti, S Chen, R Madaan, Z Ba, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
18 2023 Instructed diffuser with temporal condition guidance for offline reinforcement learning J Hu, Y Sun, S Huang, SY Guo, H Chen, L Shen, L Sun, Y Chang, D Tao
arXiv preprint arXiv:2306.04875, 2023
12 2023 Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Y Sun, R Zheng, P Hassanzadeh, Y Liang, S Feizi, S Ganesh, F Huang
International Conference on Learning Representations (ICLR) 2023, 2023
12 2023 Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning J Hu, Y Sun, H Chen, S Huang, Y Chang, L Sun
Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022
10 2022 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach K Yang, Y Sun, J Su, F He, X Tian, F Huang, T Zhou, D Tao
Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022
9 2022 Collaborative inference of coexisting information diffusions Y Sun, C Qian, N Yang, SY Philip
2017 IEEE International Conference on Data Mining (ICDM), 1093-1098, 2017
8 2017 Learning generalizable agents via saliency-guided features decorrelation S Huang, Y Sun, J Hu, S Guo, H Chen, Y Chang, L Sun, B Yang
Advances in Neural Information Processing Systems 36, 2024
7 2024 A simple unified uncertainty-guided framework for offline-to-online reinforcement learning S Guo, Y Sun, J Hu, S Huang, H Chen, H Piao, L Sun, Y Chang
arXiv preprint arXiv:2306.07541, 2023
7 2023 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL X Wang, R Zheng, Y Sun, R Jia, W Wongkamjan, H Xu, F Huang
arXiv preprint arXiv:2310.07220, 2023
6 2023 Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning Y Sun, F Huang
Proceedings of the International Conference on Autonomous Agents and …, 2020
6 2020 
Furong HuangAssociate Professor of Computer Science, University of MarylandGeverifieerd e-mailadres voor umd.edu