Ruijie Zheng - RankMe

44 papers A* 18Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos. CoRR Shenyuan Gao, William Liang, Kaiyuan Zheng, Ayaan Malik, Seonghyeon Ye, Sihyun Yu, Wei-Cheng Tseng, Yuzhu Dong, Kaichun Mo, Chen-Hsuan Lin, Qianli Ma, Seungjun Nah, Loic Magne, Jiannan Xiang, Yuqi Xie, Ruijie Zheng, Dantong Niu, You Liang Tan, K. R. Zentner, George Kurian, Suneel Indupuru, Pooya Jannaty, Jinwei Gu, Jun Zhang, Jitendra Malik, Pieter Abbeel, Ming-Yu Liu, Yuke Zhu, Joel Jang, Linxi "Jim" Fan
2026	J	`jnl`	EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data. CoRR Ruijie Zheng, Dantong Niu, Yuqi Xie, Jing Wang, Mengda Xu, Yunfan Jiang, Fernando Castañeda, Fengyuan Hu, You Liang Tan, Letian Fu, Trevor Darrell, Furong Huang, Yuke Zhu, Danfei Xu, Linxi Fan
2026	J	`jnl`	World Action Models are Zero-shot Policies. CoRR Seonghyeon Ye, Yunhao Ge, Kaiyuan Zheng, Shenyuan Gao, Sihyun Yu, George Kurian, Suneel Indupuru, You Liang Tan, Chuning Zhu, Jiannan Xiang, Ayaan Malik, Kyungmin Lee, William Liang, Nadun Ranawaka, Jiasheng Gu, Yinzhen Xu, Guanzhi Wang, Fengyuan Hu, Avnish Narayan, Johan Bjorck, Jing Wang, Gwanghyun Kim, Dantong Niu, Ruijie Zheng, Yuqi Xie, Jimmy Wu, Qi Wang, Ryan Julian, Danfei Xu, Yilun Du, Yevgen Chebotar, Scott Reed, Jan Kautz, Yuke Zhu, Linxi "Jim" Fan, Joel Jang
2025	A*	`conf`	A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control. ICML Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu
2025	J	`jnl`	A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control. CoRR Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu
2025	J	`jnl`	DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. CoRR Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loic Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan
2025	J	`jnl`	FLARE: Robot Learning with Implicit World Modeling. CoRR Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loic Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan
2025	J	`jnl`	GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. CoRR Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, Linxi Fan, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, Joel Jang, Zhenyu Jiang, Jan Kautz, Kaushil Kundalia, Lawrence Lao, Zhiqi Li, Zongyu Lin, Kevin Lin, Guilin Liu, Edith LLontop, Loic Magne, Ajay Mandlekar, Avnish Narayan, Soroush Nasiriany, Scott Reed, You Liang Tan, Guanzhi Wang, Zu Wang, Jing Wang, Qi Wang, Jiannan Xiang, Yuqi Xie, Yinzhen Xu, Zhenjia Xu, Seonghyeon Ye, Zhiding Yu, Ao Zhang, Hao Zhang, Yizhou Zhao, Ruijie Zheng, Yuke Zhu
2025	A*	`conf`	Magma: A Foundation Model for Multimodal AI Agents. CVPR Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Jianfeng Gao
2025	J	`jnl`	Magma: A Foundation Model for Multimodal AI Agents. CoRR Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao
2025	J	`jnl`	Provably Learning from Language Feedback. CoRR Wanqiao Xu, Allen Nie, Ruijie Zheng, Aditya Modi, Adith Swaminathan, Ching-An Cheng
2025	A*	`conf`	TREND: Tri-Teaching for Robust Preference-based Reinforcement Learning with Demonstrations. ICRA Shuaiyi Huang, Mara Levy, Anubhav Gupta, Daniel Ekpo, Ruijie Zheng, Abhinav Shrivastava
2025	J	`jnl`	TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations. CoRR Shuaiyi Huang, Mara Levy, Anubhav Gupta, Daniel Ekpo, Ruijie Zheng, Abhinav Shrivastava
2025	A*	`conf`	TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. ICLR Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang
2024	J	`jnl`	ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. CoRR Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024	A*	`conf`	ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization. ICML Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu
2024	A*	`conf`	Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. ICML Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
2024	A*	`conf`	COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. ICLR Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
2024	A*	`conf`	DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR 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
2024	A*	`conf`	Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. ICLR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
2024	A*	`conf`	PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. ICML Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
2024	J	`jnl`	PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem. CoRR Ruijie Zheng, Ching-An Cheng, Hal Daumé III, Furong Huang, Andrey Kolobov
2024	A*	`conf`	Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. ICML Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2024	J	`jnl`	Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss. CoRR Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
2024	J	`jnl`	TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. CoRR Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang
2023	J	`jnl`	COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. CoRR Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
2023	A*	`conf`	Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication. ICLR Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2023	J	`jnl`	DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR 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
2023	J	`jnl`	Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
2023	J	`jnl`	Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer
2023	A*	`conf`	Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. ICCV Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
2023	J	`jnl`	Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. CoRR Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma
2023	A*	`conf`	Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. ICLR Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
2023	J	`jnl`	Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. CoRR Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
2023	J	`jnl`	Progressively Efficient Learning. CoRR Ruijie Zheng, Khanh Nguyen, Hal Daumé III, Furong Huang, Karthik Narasimhan
2023	A*	`conf`	TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
2023	J	`jnl`	TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
2022	J	`jnl`	Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. CoRR Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
2022	A*	`conf`	Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. NeurIPS Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
2022	J	`jnl`	Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. CoRR Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Furong Huang
2022	A*	`conf`	Transfer RL across Observation Feature Spaces via Model-Based Regularization. ICLR Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang
2022	J	`jnl`	Transfer RL across Observation Feature Spaces via Model-Based Regularization. CoRR Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang
2022	A*	`conf`	Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. ICLR Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
2021	J	`jnl`	Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. CoRR Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang