Mingqi Yuan - RankMe

32 papers A* 2B 2Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Behavior Foundation Model: Next-Generation Whole-Body Control System of Humanoid Robots. IEEE Trans. Pattern Anal. Mach. Intell. Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Bo Li, Wei Zhang, Wenjun Zeng, Hua Chen, Xin Jin
2026	J	`jnl`	AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World Models. CoRR Xiaoquan sun, Zetian Xu, Chen Cao, Zonghe Liu, Yihan Sun, Jingrui Pang, Ruijian Zhang, Zhen Yang, Kang Pang, Dingxin He, Mingqi Yuan, Jiayu Chen
2026	J	`jnl`	Continual Policy Distillation from Distributed Reinforcement Learning Teachers. CoRR Yuxuan Li, Qijun He, Mingqi Yuan, Wen-Tse Chen, Jeff Schneider, Jiayu Chen
2026	J	`jnl`	Gait-Adaptive Perceptive Humanoid Locomotion With Real-Time Under-Base Terrain Reconstruction. IEEE Robotics Autom. Lett. Haolin Song, Hongbo Zhu, Tao Yu, Yan Liu, Mingqi Yuan, Wengang Zhou, Hua Chen, Houqiang Li
2026	J	`jnl`	Vision Transformers that Never Stop Learning. CoRR Caihao Sun, Mingqi Yuan, Shiyuan Wang, Jiayu Chen
2025	J	`jnl`	Adaptive Data Exploitation in Deep Reinforcement Learning. CoRR Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2025	J	`jnl`	Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots. CoRR Mingqi Yuan, Tao Yu, Wenqi Ge, Xiuyong Yao, Dapeng Li, Huijiang Wang, Jiayu Chen, Xin Jin, Bo Li, Hua Chen, Wei Zhang, Wenjun Zeng
2025	J	`jnl`	Deep Reinforcement Learning with Hybrid Intrinsic Reward Model. CoRR Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2025	J	`jnl`	Gait-Adaptive Perceptive Humanoid Locomotion with Real-Time Under-Base Terrain Reconstruction. CoRR Haolin Song, Hongbo Zhu, Tao Yu, Yan Liu, Mingqi Yuan, Wengang Zhou, Hua Chen, Houqiang Li
2025	J	`jnl`	Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning. CoRR Qi Wang, Mian Wu, Yuyang Zhang, Mingqi Yuan, Wenyao Zhang, Haoxiang You, Yunbo Wang, Xin Jin, Xiaokang Yang, Wenjun Zeng
2025	B	`conf`	Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction. SMC Mingqi Yuan, Huijiang Wang, Kai-Fung Chu, Fumiya Iida, Bo Li, Wenjun Zeng
2025	J	`jnl`	Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning. CoRR Mingqi Yuan, Qi Wang, Guozheng Ma, Bo Li, Xin Jin, Yunbo Wang, Xiaokang Yang, Wenjun Zeng, Dacheng Tao
2025	J	`jnl`	PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations. CoRR Mingqi Yuan, Tao Yu, Haolin Song, Bo Li, Xin Jin, Hua Chen, Wenjun Zeng
2025	A*	`conf`	RLLTE: Long-Term Evolution Project of Reinforcement Learning. AAAI Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng
2025	J	`jnl`	RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. Trans. Mach. Learn. Res. Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Wenjun Zeng, Glen Berseth
2025	J	`jnl`	ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning. CoRR Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2024	J	`jnl`	RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. CoRR Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Glen Berseth, Wenjun Zeng
2024	J	`jnl`	Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives. CoRR Mingqi Yuan, Huijiang Wang, Kai-Fung Chu, Fumiya Iida, Bo Li, Wenjun Zeng
2023	A*	`conf`	Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning. ICML Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2023	J	`jnl`	Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning. CoRR Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2023	J	`jnl`	RLLTE: Long-Term Evolution Project of Reinforcement Learning. CoRR Mingqi Yuan, Zequn Zhang, Yang Xu, Shihao Luo, Bo Li, Xin Jin, Wenjun Zeng
2023	J	`jnl`	Rényi State Entropy Maximization for Exploration Acceleration in Reinforcement Learning. IEEE Trans. Artif. Intell. Mingqi Yuan, Man-On Pun, Dong Wang
2022	—	`conf`	Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation. SSCI Mingqi Yuan, Man-On Pun
2022	J	`jnl`	Intrinsically-Motivated Reinforcement Learning: A Brief Introduction. CoRR Mingqi Yuan
2022	J	`jnl`	Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning. CoRR Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng
2022	J	`jnl`	Rényi State Entropy for Exploration Acceleration in Reinforcement Learning. CoRR Mingqi Yuan, Man-On Pun, Dong Wang
2022	J	`jnl`	Tackling Visual Control via Multi-View Exploration Maximization. CoRR Mingqi Yuan, Xin Jin, Bo Li, Wenjun Zeng
2021	J	`jnl`	Hybrid Adversarial Inverse Reinforcement Learning. CoRR Mingqi Yuan, Man-On Pun, Yi Chen, Qi Cao
2021	B	`conf`	Multi-Agent Reinforcement Learning-Based Fairness-Aware Scheduling for Bursty Traffic. GLOBECOM Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen
2021	J	`jnl`	Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning. CoRR Mingqi Yuan, Mon-On Pun, Yi Chen, Dong Wang, Haojun Li
2021	—	`conf`	Transformer Empowered CSI Feedback for Massive MIMO Systems. WOCC Yang Xu, Mingqi Yuan, Man-On Pun
2020	J	`jnl`	Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning. CoRR Mingqi Yuan, Qi Cao, Man-On Pun, Yi Chen