Mu, Yao

38 publications

TMLR 2025 Autoregressive Models in Vision: A Survey Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong

CVPR 2025 DexHandDiff: Interaction-Aware Diffusion Planning for Adaptive Dexterous Manipulation Zhixuan Liang, Yao Mu, Yixiao Wang, Tianxing Chen, Wenqi Shao, Wei Zhan, Masayoshi Tomizuka, Ping Luo, Mingyu Ding

ICLR 2025 EMOS: Embodiment-Aware Heterogeneous Multi-Robot Operating System with LLM Agents Junting Chen, Checheng Yu, Xunzhe Zhou, Tianqi Xu, Yao Mu, Mengkang Hu, Wenqi Shao, Yikai Wang, Guohao Li, Lin Shao

CVPR 2025 G3Flow: Generative 3D Semantic Flow for Pose-Aware and Generalizable Object Manipulation Tianxing Chen, Yao Mu, Zhixuan Liang, Zanxin Chen, Shijia Peng, Qiangyu Chen, Mingkun Xu, Ruizhen Hu, Hongyuan Zhang, Xuelong Li, Ping Luo

CVPR 2025 GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning Guangyan Chen, Te Cui, Meiling Wang, Chengcai Yang, Mengxiao Hu, Haoyang Lu, Yao Mu, Zicai Peng, Tianxing Zhou, Xinran Jiang, Yi Yang, Yufeng Yue

ICLR 2025 M^3PC: Test-Time Model Predictive Control Using Pretrained Masked Trajectory Model Kehan Wen, Yutong Hu, Yao Mu, Lei Ke

NeurIPS 2025 OWMM-Agent: Open World Mobile Manipulation with Multi-Modal Agentic Data Synthesis Junting Chen, Haotian Liang, Lingxiao Du, Weiyun Wang, Mengkang Hu, Yao Mu, Wenhai Wang, Jifeng Dai, Ping Luo, Wenqi Shao, Lin Shao

ICCV 2025 PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation Zhihao Zhu, Yifan Zheng, Siyu Pan, Yaohui Jin, Yao Mu

CVPR 2025 RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete Yuheng Ji, Huajie Tan, Jiayu Shi, Xiaoshuai Hao, Yuan Zhang, Hengyuan Zhang, Pengwei Wang, Mengdi Zhao, Yao Mu, Pengju An, Xinda Xue, Qinghang Su, Huaihai Lyu, Xiaolong Zheng, Jiaming Liu, Zhongyuan Wang, Shanghang Zhang

CVPR 2025 RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins Yao Mu, Tianxing Chen, Zanxin Chen, Shijia Peng, Zhiqian Lan, Zeyu Gao, Zhixuan Liang, Qiaojun Yu, Yude Zou, Mingkun Xu, Lunkai Lin, Zhiqiang Xie, Mingyu Ding, Ping Luo

CVPRW 2025 SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu

ICLRW 2025 Text2World: Benchmarking Large Language Models for Symbolic World Model Generation Mengkang Hu, Tianxing Chen, Yude Zou, Yuheng Lei, Qiguang Chen, Ming Li, Qiwei Liang, Yao Mu, Hongyuan Zhang, Wenqi Shao, Ping Luo

ICLR 2024 AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu

ICML 2024 Feasible Reachable Policy Iteration Shentao Qin, Yujie Yang, Yao Mu, Jie Li, Wenjun Zou, Jingliang Duan, Shengbo Eben Li

NeurIPSW 2024 Interactive Navigation of Quadruped Robots in Challenging Environments Using Large Language Models Kangjie Zhou, Yao Mu, Pengying Wu, Han Gao, Chang Liu

ICML 2024 Learning Reward for Robot Skills Using Large Language Models via Self-Alignment Yuwei Zeng, Yao Mu, Lin Shao

ICML 2024 RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis Yao Mu, Junting Chen, Qing-Long Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo

ECCVW 2024 RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (Early Version) Yao Mu, Tianxing Chen, Shijia Peng, Zanxin Chen, Zeyu Gao, Yude Zou, Lunkai Lin, Zhiqiang Xie, Ping Luo

ICLR 2024 SEPT: Towards Efficient Scene Representation Learning for Motion Prediction Zhiqian Lan, Yuxuan Jiang, Yao Mu, Chen Chen, Shengbo Eben Li

CVPR 2024 SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo

ICLR 2024 Tree-Planner: Efficient Close-Loop Task Planning with Large Language Models Mengkang Hu, Yao Mu, Xinmiao Chelsey Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo

NeurIPS 2024 VLMimic: Vision Language Models Are Visual Imitation Learner for Fine-Grained Actions Guangyan Chen, Meiling Wang, Te Cui, Yao Mu, Haoyang Lu, Tianxing Zhou, Zicai Peng, Mengxiao Hu, Haizhou Li, Li Yuan, Yi Yang, Yufeng Yue

ICML 2024 VoroNav: Voronoi-Based Zero-Shot Object Navigation with Large Language Model Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu

ICML 2023 AdaptDiffuser: Diffusion Models as Adaptive Self-Evolving Planners Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo

ICLR 2023 CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo

CVPR 2023 EC2: Emergent Communication for Embodied Control Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan

ICLR 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

NeurIPS 2023 EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo

ICML 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

ICLRW 2023 Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout Yao Mu, Zhiqian Lan, Chang Liu, Ping Luo, Shengbo Eben Li

ICLRW 2023 Prototypical Context-Aware Dynamics Generalization for High-Dimensional Model-Based Reinforcement Learning Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

NeurIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

IJCAI 2022 Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu

NeurIPSW 2022 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

NeurIPS 2022 MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning Yao Lai, Yao Mu, Ping Luo

NeurIPSW 2022 SEM2: Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu

CVPR 2022 Scale-Equivalent Distillation for Semi-Supervised Object Detection Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo

NeurIPS 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao