Minghuan Liu

According to our database, Minghuan Liu authored at least 38 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations.

Jingxiao Chen, Xinyao Li, Jiahang Cao, Zhengbang Zhu, Wentao Dong, Minghuan Liu, Ying Wen, Yong Yu, Liqing Zhang, Weinan Zhang

CoRR, February, 2025

Re³Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation.

Xiaoshen Han, Minghuan Liu, Yilun Chen, Junqiu Yu, Xiaoyang Lyu, Yang Tian, Bolun Wang, Weinan Zhang, Jiangmiao Pang

CoRR, February, 2025

A Unified and General Humanoid Whole-Body Controller for Fine-Grained Locomotion.

Yufei Xue, Wentao Dong, Minghuan Liu, Weinan Zhang, Jiangmiao Pang

CoRR, February, 2025

Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation.

Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models.

Xinghang Li, Peiyan Li, Minghuan Liu, Dong Wang, Jirong Liu, Bingyi Kang, Xiao Ma, Tao Kong, Hanbo Zhang, Huaping Liu

CoRR, 2024

WildLMa: Long Horizon Loco-Manipulation in the Wild.

Ri-Zhao Qiu, Yuchen Song, Xuanbin Peng, Sai Aneesh Suryadevara, Ge Yang, Minghuan Liu, Mazeyu Ji, Chengzhe Jia, Ruihan Yang, Xueyan Zou, Xiaolong Wang

CoRR, 2024

D4W: Dependable Data-Driven Dynamics for Wheeled Robots.

Yunfeng Lin, Minghuan Liu, Yong Yu

CoRR, 2024

ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation.

Shiqi Yang, Minghuan Liu, Yuzhe Qin, Runyu Ding, Jialong Li, Xuxin Cheng, Ruihan Yang, Sha Yi, Xiaolong Wang

CoRR, 2024

Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning.

Hanye Zhao, Xiaoshen Han, Zhengbang Zhu, Minghuan Liu, Yong Yu, Weinan Zhang

CoRR, 2024

Visual Whole-Body Control for Legged Loco-Manipulation.

Minghuan Liu, Zixuan Chen, Xuxin Cheng, Yandong Ji, Ruihan Yang, Xiaolong Wang

CoRR, 2024

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem.

Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang

CoRR, 2024

MADiff: Offline Multi-agent Learning with Diffusion Models.

Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vision-Language Foundation Models as Effective Robot Imitators.

Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ACE: A Cross-platform and visual-Exoskeletons System for Low-Cost Dexterous Teleoperation.

Shiqi Yang, Minghuan Liu, Yuzhe Qin, Runyu Ding, Jialong Li, Xuxin Cheng, Ruihan Yang, Sha Yi, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Visual Whole-Body Control for Legged Loco-Manipulation.

Minghuan Liu, Zixuan Chen, Xuxin Cheng, Yandong Ji, Ri-Zhao Qiu, Ruihan Yang, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs.

Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Adaptation Augmented Model-based Policy Optimization.

Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang

J. Mach. Learn. Res., 2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?

Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li

CoRR, 2023

Visual Imitation Learning with Patch Rewards.

Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

D4W: Dependable Data-Driven Dynamics for Wheeled Robots.

Yunfeng Lin, Minghuan Liu, Yong Yu

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents.

Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

CoRR, 2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

CoRR, 2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation.

Yang Guan, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin

CoRR, 2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation.

Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning with Automated Auxiliary Loss Search.

Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.

Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Goal-Conditioned Reinforcement Learning: Problems and Solutions.

Minghuan Liu, Menghui Zhu, Weinan Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.

Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Curriculum Offline Imitation Learning.

Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

CoRR, 2021

Learning to Build High-Fidelity and Robust Environment Models.

Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Curriculum Offline Imitating Learning.

Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks.

Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Energy-Based Imitation Learning.

Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Multi-Agent Interactions Modeling with Correlated Policies.

Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks.

Qiufeng Wang, Minghuan Liu, Weijia Zhang, Yuhang Guo, Tianrui Li

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Generative adversarial exploration for reinforcement learning.

Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019