Liang, Yongyuan

19 publications

AAAI 2025 Is Poisoning a Real Threat to DPO? Maybe More so than You Think Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

CVPR 2025 Magma: A Foundation Model for Multimodal AI Agents Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Jianfeng Gao

ICLR 2025 Robots Pre-Train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets Guangqi Jiang, Yifei Sun, Tao Huang, Huanyu Li, Yongyuan Liang, Huazhe Xu

ICLR 2025 TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé Iii, Andrey Kolobov, Furong Huang, Jianwei Yang

NeurIPS 2025 ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Xiyao Wang, Zhengyuan Yang, Chao Feng, Yuhang Zhou, Xiaoyu Liu, Yongyuan Liang, Ming Li, Ziyi Zang, Linjie Li, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang

ICML 2024 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

ICLR 2024 Beyond Worst-Case Attacks: Robust RL with Adaptive Defense via Non-Dominated Policies Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

ICLR 2024 DrM: Mastering Visual Reinforcement Learning Through Dormant Ratio Minimization 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

ICLR 2024 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer

ICMLW 2024 Is Poisoning a Real Threat to LLM Alignment? Maybe More so than You Think Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang

NeurIPS 2024 Make-an-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu

ICML 2024 Premier-TACO Is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang

NeurIPSW 2023 $\texttt{PREMIER-TACO}$ Is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé Iii, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Basu, Furong Huang

NeurIPSW 2023 Beyond Worst-Case Attacks: Robust RL with Adaptive Defense via Non-Dominated Policies Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

ICLR 2023 Certifiably Robust Policy Learning Against Adversarial Multi-Agent Communication Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

ICMLW 2023 Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer

NeurIPS 2022 Efficient Adversarial Training Without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang

ICLR 2022 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang

NeurIPSW 2021 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang