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Yongyuan Liang
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2020 – today
- 2024
- [c9]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer:
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR 2024 - [c8]Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang:
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. ICLR 2024 - [c7]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR 2024 - [c6]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML 2024 - [c5]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. ICML 2024 - [i14]Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang:
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR abs/2402.06187 (2024) - [i13]Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang:
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies. CoRR abs/2402.12673 (2024) - [i12]Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu:
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR abs/2402.14528 (2024) - [i11]Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang:
Is poisoning a real threat to LLM alignment? Maybe more so than you think. CoRR abs/2406.12091 (2024) - [i10]Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu:
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. CoRR abs/2407.10973 (2024) - [i9]Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang, Huazhe Xu:
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets. CoRR abs/2410.22325 (2024) - 2023
- [c4]Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang:
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR 2023 - [i8]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer:
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR abs/2307.12062 (2023) - [i7]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR abs/2310.19668 (2023) - 2022
- [c3]Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang:
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. ICLR 2022 - [c2]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang:
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. NeurIPS 2022 - [i6]Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang:
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR abs/2206.10158 (2022) - [i5]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang:
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. CoRR abs/2210.05927 (2022) - 2021
- [c1]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. DAC 2021: 757-762 - [i4]Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin:
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. CoRR abs/2104.10853 (2021) - [i3]Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang:
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. CoRR abs/2106.05087 (2021) - 2020
- [i2]Yongyuan Liang, Bangwei Li:
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning. CoRR abs/2003.13085 (2020) - [i1]Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan, Lei Cheng:
FDNAS: Improving Data Privacy and Model Diversity in AutoML. CoRR abs/2011.03372 (2020)
2010 – 2019
- 2019
- [j1]Yongyuan Liang, Mingsheng Ma
, Faqiang Zhang, Feng Liu, Zhifu Liu, Dong Wang, Yongxiang Li:
An LC Wireless Microfluidic Sensor Based on Low Temperature Co-Fired Ceramic (LTCC) Technology. Sensors 19(5): 1189 (2019)
Coauthor Index
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