Lei Han - RankMe

79 papers A* 29A 6Journal 41Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cooperative-Competitive Team Play of Real-World Craft Robots. CoRR Rui Zhao, Xihui Li, Yizheng Zhang, Yuzhen Liu, Zhong Zhang, Yufeng Zhang, Cheng Zhou, Zhengyou Zhang, Lei Han
2026	J	`jnl`	ShapeAfford: Reconstructing 3D Shape With Manipulation Affordance via Geometry-Affordance Synergy. IEEE Robotics Autom. Lett. Gaolin Zhao, Shuo Yang, Jinqiu Fan, Ran Song, Qi Jiang, Lei Han, Wei Zhang
2025	A	`conf`	ALVO: Adaptive Learning with Velocity Obstacles for UGV Navigation in Dynamic Scenes. IROS Yinduo Xie, Yuenan Zhao, Ran Song, Zhiheng Li, Lei Han, Wei Zhang
2025	J	`jnl`	AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation. CoRR Yizheng Zhang, Zhenjun Yu, Jiaxin Lai, Cewu Lu, Lei Han
2025	A*	`conf`	Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling. ICLR Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han
2025	J	`jnl`	Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. CoRR Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2025	A	`conf`	VCADNet: Vision-based Circular Accessible Depth Prediction for UGV Perception. IROS Tao Zhang, Yuenan Zhao, Xiaoyu Xu, Ran Song, Lei Han, Wei Zhang
2025	J	`jnl`	VLM-TDP: VLM-guided Trajectory-conditioned Diffusion Policy for Robust Long-Horizon Manipulation. CoRR Kefeng Huang, Tingguang Li, Yuzhen Liu, Zhe Zhang, Jiankun Wang, Lei Han
2024	A*	`conf`	An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement. ICRA Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
2024	J	`jnl`	An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement. CoRR Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
2024	A	`conf`	Automatic Curriculum for Unsupervised Reinforcement Learning. AAMAS Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy
2024	A*	`conf`	HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid. NeurIPS Xinyu Xu, Yizheng Zhang, Yonglu Li, Lei Han, Cewu Lu
2024	J	`jnl`	HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid. CoRR Xinyu Xu, Yizheng Zhang, Yong-Lu Li, Lei Han, Cewu Lu
2024	J	`jnl`	HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments. CoRR Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo
2024	A*	`conf`	Learning Highly Dynamic Behaviors for Quadrupedal Robots. ICRA Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han
2024	J	`jnl`	Learning Highly Dynamic Behaviors for Quadrupedal Robots. CoRR Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han
2024	J	`jnl`	Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models. Nat. Mac. Intell. Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang
2024	A*	`conf`	Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent. ICML Yingru Li, Jiawei Xu, Lei Han, Zhi-Quan Luo
2024	A*	`conf`	Relative Policy-Transition Optimization for Fast Policy Transfer. AAAI Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han
2024	J	`jnl`	Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling. CoRR Jiawei Xu, Rui Yang, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han
2024	A*	`conf`	Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. ICRA Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Mingguo Zhao, Xiu Li, Xuelong Li
2024	A*	`conf`	Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. ICLR Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2024	J	`jnl`	The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition. IEEE Trans. Games Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han
2024	A*	`conf`	Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. ICLR Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
2023	A	`conf`	CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning. AAMAS Rui Zhao, Xu Liu, Yizheng Zhang, Minghao Li, Cheng Zhou, Shuai Li, Lei Han
2023	J	`jnl`	Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization. J. Artif. Intell. Res. Jiawei Xu, Shuxing Li, Rui Yang, Chun Yuan, Lei Han
2023	A	`conf`	Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals. IROS Tingguang Li, Yizheng Zhang, Chong Zhang, Qingxu Zhu, Jiapeng Sheng, Wanchao Chi, Cheng Zhou, Lei Han
2023	J	`jnl`	Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals. CoRR Tingguang Li, Yizheng Zhang, Chong Zhang, Qingxu Zhu, Jiapeng Sheng, Wanchao Chi, Cheng Zhou, Lei Han
2023	J	`jnl`	Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models. CoRR Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang
2023	A*	`conf`	MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy. NeurIPS Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J. Maddison, Lei Han
2023	J	`jnl`	Neural Categorical Priors for Physics-Based Character Control. CoRR Qingxu Zhu, He Zhang, Mengting Lan, Lei Han
2023	J	`jnl`	Neural Categorical Priors for Physics-Based Character Control. ACM Trans. Graph. Qingxu Zhu, He Zhang, Mengting Lan, Lei Han
2023	J	`jnl`	Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. CoRR Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Xiu Li, Xuelong Li
2023	J	`jnl`	Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning. CoRR Haojie Shi, Qingxu Zhu, Lei Han, Wanchao Chi, Tingguang Li, Max Q.-H. Meng
2023	J	`jnl`	Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. CoRR Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
2023	J	`jnl`	Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
2022	A*	`conf`	Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping. NeurIPS Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou
2022	J	`jnl`	Exploiting Reward Shifting in Value-Based Deep RL. CoRR Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou
2022	A	`conf`	RECCraft System: Towards Reliable and Efficient Collective Robotic Construction. IROS Qiwei Xu, Yizheng Zhang, Shenghao Zhang, Rui Zhao, Zhuoxing Wu, Dongsheng Zhang, Cheng Zhou, Xiong Li, Jiahong Chen, Zengjun Zhao, Luyang Tang, Zhengyou Zhang, Lei Han
2022	A*	`conf`	RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022	J	`jnl`	RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022	J	`jnl`	Relative Policy-Transition Optimization for Fast Policy Transfer. CoRR Lei Han, Jiawei Xu, Cheng Zhou, Yizheng Zhang, Zhengyou Zhang
2022	A*	`conf`	Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. ICLR Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022	J	`jnl`	Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. CoRR Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2021	A*	`conf`	Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
2021	J	`jnl`	MHER: Model-based Hindsight Experience Replay. CoRR Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li
2021	A*	`conf`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2021	J	`jnl`	Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
2020	J	`jnl`	Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin. BMC Bioinform. Lei Li, Deborah Chang, Lei Han, Xiaojian Zhang, Joseph Zaia, Xiu-Feng Wan
2020	J	`jnl`	TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning. CoRR Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang
2020	J	`jnl`	TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game. CoRR Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang
2019	J	`jnl`	Arena: a toolkit for Multi-Agent Reinforcement Learning. CoRR Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang
2019	A*	`conf`	Curriculum-guided Hindsight Experience Replay. NeurIPS Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang
2019	J	`jnl`	Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus. Bioinform. Lei Han, Lei Li, Feng Wen, Lei Zhong, Tong Zhang, Xiu-Feng Wan
2019	A*	`conf`	Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI. ICML Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang
2019	A*	`conf`	LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. NeurIPS Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao
2018	J	`jnl`	Bayesian Model Averaging With Exponentiated Least Squares Loss. IEEE Trans. Inf. Theory Dong Dai, Lei Han, Ting Yang, Tong Zhang
2018	A*	`conf`	Candidates vs. Noises Estimation for Large Multi-Class Classification Problem. ICML Lei Han, Yiheng Huang, Tong Zhang
2018	A*	`conf`	Exponentially Weighted Imitation Learning for Batched Historical Data. NeurIPS Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang
2018	J	`jnl`	Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. CoRR Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu
2018	J	`jnl`	TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. CoRR Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang
2018	J	`jnl`	Temporal Causal Inference with Time Lag. Neural Comput. Sizhen Du, Guojie Song, Lei Han, Haikun Hong
2017	J	`jnl`	Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem. CoRR Lei Han, Tong Zhang
2016	A*	`conf`	Fast Component Pursuit for Large-Scale Inverse Covariance Estimation. KDD Lei Han, Yu Zhang, Tong Zhang
2016	A*	`conf`	Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. KDD Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang
2016	J	`jnl`	Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression. CoRR Lei Han, Ting Yang, Tong Zhang
2016	A*	`conf`	Multi-Stage Multi-Task Learning with Reduced Rank. AAAI Lei Han, Yu Zhang
2016	A*	`conf`	Reduction Techniques for Graph-Based Convex Clustering. AAAI Lei Han, Yu Zhang
2016	J	`jnl`	Structure Feature Learning Method for Incomplete Data. Int. J. Pattern Recognit. Artif. Intell. Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie
2015	A*	`conf`	Discriminative Feature Grouping. AAAI Lei Han, Yu Zhang
2015	—	`conf`	Incorporating temporal smoothness and group structure in learning with incomplete data. FSKD Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie
2015	A*	`conf`	Learning Multi-Level Task Groups in Multi-Task Learning. AAAI Lei Han, Yu Zhang
2015	A*	`conf`	Learning Tree Structure in Multi-Task Learning. KDD Lei Han, Yu Zhang
2015	J	`jnl`	Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. Guojie Song, Lei Han, Kunqing Xie
2014	A*	`conf`	Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI Lei Han, Yu Zhang, Guojie Song, Kunqing Xie
2012	A*	`conf`	Overlapping decomposition for causal graphical modeling. KDD Lei Han, Guojie Song, Gao Cong, Kunqing Xie
2010	—	`conf`	Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning. ISNN (2) Lei Han, Kun-Qing Xie, Guo-Jie Song
2010	—	`conf`	Locally kernel regression adapting with data distribution in prediction of traffic flow. Geoinformatics Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma