Locally kernel regression adapting with data distribution in prediction of traffic flow. - Lei Han 001; Meng Shuai; Kunqing Xie; Guojie Song; Xiujun Ma (Geoinformatics, 2010)

Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning. - Lei Han 001; Kun-Qing Xie; Guo-Jie Song (ISNN (2), 2010)

Overlapping decomposition for causal graphical modeling. - Lei Han 001; Guojie Song; Gao Cong; Kunqing Xie (KDD, 2012)

Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. - Lei Han 001; Yu Zhang 006; Guojie Song; Kunqing Xie (AAAI, 2014)

Discriminative Feature Grouping. - Lei Han 001; Yu Zhang 006 (AAAI, 2015)

Learning Multi-Level Task Groups in Multi-Task Learning. - Lei Han 001; Yu Zhang 006 (AAAI, 2015)

Incorporating temporal smoothness and group structure in learning with incomplete data. - Xiabing Zhou; Lei Han 001; Xingxing Xing; Haikun Hong; Wenhao Huang 001; Kaigui Bian; Kunqing Xie (FSKD, 2015)

Learning Tree Structure in Multi-Task Learning. - Lei Han 001; Yu Zhang 006 (KDD, 2015)

Overlapping Decomposition for Gaussian Graphical Modeling. - Guojie Song; Lei Han 001; Kunqing Xie (IEEE Trans. Knowl. Data Eng., 2015)

Multi-Stage Multi-Task Learning with Reduced Rank. - Lei Han 001; Yu Zhang 006 (AAAI, 2016)

Reduction Techniques for Graph-Based Convex Clustering. - Lei Han 001; Yu Zhang 006 (AAAI, 2016)

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. - Lei Han 001; Yu Zhang 006; Xiu-Feng Wan; Tong Zhang 001 (KDD, 2016)

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation. - Lei Han 001; Yu Zhang 006; Tong Zhang 001 (KDD, 2016)

Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression. - Lei Han 001; Ting Yang; Tong Zhang 001 (CoRR, 2016)

Structure Feature Learning Method for Incomplete Data. - Xiabing Zhou; Xingxing Xing; Lei Han 001; Haikun Hong; Kaigui Bian; Kunqing Xie (Int. J. Pattern Recognit. Artif. Intell., 2016)

Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem. - Lei Han 001; Tong Zhang 001 (CoRR, 2017)

Candidates vs. Noises Estimation for Large Multi-Class Classification Problem. - Lei Han 001; Yiheng Huang; Tong Zhang 001 (ICML, 2018)

Exponentially Weighted Imitation Learning for Batched Historical Data. - Qing Wang; Jiechao Xiong; Lei Han 001; Peng Sun 011; Han Liu 001; Tong Zhang 001 (NeurIPS, 2018)

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game. - Peng Sun 011; Xinghai Sun; Lei Han 001; Jiechao Xiong; Qing Wang; Bo Li 064; Yang Zheng; Ji Liu 001; Yongsheng Liu; Han Liu 001; Tong Zhang 001 (CoRR, 2018)

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space. - Jiechao Xiong; Qing Wang; Zhuoran Yang; Peng Sun 011; Lei Han 001; Yang Zheng; Haobo Fu; Tong Zhang 001; Ji Liu 001; Han Liu 001 (CoRR, 2018)

Temporal Causal Inference with Time Lag. - Sizhen Du; Guojie Song; Lei Han 001; Haikun Hong (Neural Comput., 2018)

Bayesian Model Averaging With Exponentiated Least Squares Loss. - Dong Dai 004; Lei Han 001; Ting Yang; Tong Zhang 001 (IEEE Trans. Inf. Theory, 2018)

Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI. - Lei Han 001; Peng Sun 011; Yali Du 001; Jiechao Xiong; Qing Wang; Xinghai Sun; Han Liu 001; Tong Zhang 001 (ICML, 2019)

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. - Yali Du 001; Lei Han 001; Meng Fang; Ji Liu 002; Tianhong Dai; Dacheng Tao (NeurIPS, 2019)

Curriculum-guided Hindsight Experience Replay. - Meng Fang; Tianyi Zhou 001; Yali Du 001; Lei Han 001; Zhengyou Zhang (NeurIPS, 2019)

Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus. - Lei Han 001; Lei Li; Feng Wen; Lei Zhong; Tong Zhang 001; Xiu-Feng Wan (Bioinform., 2019)

Arena: a toolkit for Multi-Agent Reinforcement Learning. - Qing Wang; Jiechao Xiong; Lei Han 001; Meng Fang; Xinghai Sun; Zhuobin Zheng; Peng Sun 011; Zhengyou Zhang (CoRR, 2019)

Multi-task learning sparse group lasso: a method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin. - Lei Li; Deborah Chang; Lei Han 001; Xiaojian Zhang; Joseph Zaia; Xiu-Feng Wan (BMC Bioinform., 2020)

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning. - Peng Sun 011; Jiechao Xiong; Lei Han 001; Xinghai Sun; Shuxing Li; Jiawei Xu; Meng Fang; Zhengyou Zhang (CoRR, 2020)

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game. - Lei Han 001; Jiechao Xiong; Peng Sun 011; Xinghai Sun; Meng Fang; Qingwei Guo; Qiaobo Chen; Tengfei Shi; Hongsheng Yu; Zhengyou Zhang (CoRR, 2020)

Principled Exploration via Optimistic Bootstrapping and Backward Induction. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Jianye Hao; Animesh Garg; Peng Liu 008; Zhaoran Wang 001 (ICML, 2021)

Dynamic Bottleneck for Robust Self-Supervised Exploration. - Chenjia Bai; Lingxiao Wang 003; Lei Han 001; Animesh Garg; Jianye Hao; Peng Liu 008; Zhaoran Wang 001 (NeurIPS, 2021)

MHER: Model-based Hindsight Experience Replay. - Rui Yang 010; Meng Fang; Lei Han 001; Yali Du 001; Feng Luo; Xiu Li 001 (CoRR, 2021)

Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. - Rui Yang 010; Yiming Lu; Wenzhe Li; Hao Sun; Meng Fang; Yali Du 001; Xiu Li 001; Lei Han 001; Chongjie Zhang (ICLR, 2022)

RECCraft System: Towards Reliable and Efficient Collective Robotic Construction. - Qiwei Xu; Yizheng Zhang; Shenghao Zhang; Rui Zhao; Zhuoxing Wu; Dongsheng Zhang; Cheng Zhou; Xiong Li 001; Jiahong Chen; Zengjun Zhao; Luyang Tang; Zhengyou Zhang; et al. (IROS, 2022)

Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping. - Hao Sun; Lei Han 001; Rui Yang 010; Xiaoteng Ma; Jian Guo; Bolei Zhou (NeurIPS, 2022)

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. - Rui Yang 010; Chenjia Bai; Xiaoteng Ma; Zhaoran Wang 001; Chongjie Zhang; Lei Han 001 (NeurIPS, 2022)

Relative Policy-Transition Optimization for Fast Policy Transfer. - Lei Han 001; Jiawei Xu; Cheng Zhou; Yizheng Zhang; Zhengyou Zhang (CoRR, 2022)

Exploiting Reward Shifting in Value-Based Deep RL. - Hao Sun; Lei Han 001; Rui Yang 010; Xiaoteng Ma; Jian Guo; Bolei Zhou (CoRR, 2022)

CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning. - Rui Zhao; Xu Liu; Yizheng Zhang; Minghao Li; Cheng Zhou; Shuai Li; Lei Han 001 (AAMAS, 2023)

Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals. - Tingguang Li; Yizheng Zhang; Chong Zhang; Qingxu Zhu 001; Jiapeng Sheng; Wanchao Chi; Cheng Zhou; Lei Han 001 (IROS, 2023)

MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy. - Honghua Dong; Jiawei Xu; Yu Yang 015; Rui Zhao; Shiwen Wu; Chun Yuan; Xiu Li 001; Chris J. Maddison; Lei Han 001 (NeurIPS, 2023)

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. - Jiyuan Shi; Chenjia Bai; Haoran He; Lei Han 001; Dong Wang 028; Bin Zhao 001; Xiu Li 001; Xuelong Li 001 (CoRR, 2023)

Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning. - Haojie Shi; Qingxu Zhu 001; Lei Han 001; Wanchao Chi; Tingguang Li; Max Q.-H. Meng (CoRR, 2023)

Efficient Multi-Goal Reinforcement Learning via Value Consistency Prioritization. - Jiawei Xu; Shuxing Li; Rui Yang 010; Chun Yuan; Lei Han 001 (J. Artif. Intell. Res., 2023)

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. - Chenjia Bai; Peng Liu 008; Kaiyu Liu; Lingxiao Wang 003; Yingnan Zhao 002; Lei Han 001; Zhaoran Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural Categorical Priors for Physics-Based Character Control. - Qingxu Zhu 001; He Zhang; Mengting Lan; Lei Han 001 (ACM Trans. Graph., 2023)

Relative Policy-Transition Optimization for Fast Policy Transfer. - Jiawei Xu; Cheng Zhou; Yizheng Zhang; Baoxiang Wang 001; Lei Han 001 (AAAI, 2024)

Automatic Curriculum for Unsupervised Reinforcement Learning. - Yucheng Yang; Tianyi Zhou 001; Lei Han 001; Meng Fang; Mykola Pechenizkiy (AAMAS, 2024)

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. - Rui Yang 010; Han Zhong 001; Jiawei Xu; Amy Zhang 001; Chongjie Zhang; Lei Han 001; Tong Zhang 001 (ICLR, 2024)

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. - Yucheng Yang; Tianyi Zhou 001; Qiang He; Lei Han 001; Mykola Pechenizkiy; Meng Fang (ICLR, 2024)

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent. - Yingru Li; Jiawei Xu; Lei Han 001; Zhi-Quan Luo (ICML, 2024)

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning. - Jiyuan Shi; Chenjia Bai; Haoran He; Lei Han 001; Dong Wang 008; Bin Zhao 001; Mingguo Zhao; Xiu Li 001; Xuelong Li 001 (ICRA, 2024)

An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement. - Haojie Shi; Tingguang Li; Qingxu Zhu 001; Jiapeng Sheng; Lei Han 001; Max Q.-H. Meng (ICRA, 2024)

Learning Highly Dynamic Behaviors for Quadrupedal Robots. - Chong Zhang; Jiapeng Sheng; Tingguang Li; He Zhang; Cheng Zhou; Qingxu Zhu 001; Rui Zhao; Yizheng Zhang; Lei Han 001 (ICRA, 2024)

HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid. - Xinyu Xu; Yizheng Zhang; Yonglu Li 001; Lei Han 001; Cewu Lu (NeurIPS, 2024)

HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments. - Yingru Li; Jiawei Xu; Lei Han 001; Zhi-Quan Luo (CoRR, 2024)

Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling. - Jiawei Xu; Rui Yang 010; Feng Luo; Meng Fang; Baoxiang Wang 001; Lei Han 001 (CoRR, 2024)

Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models. - Lei Han 001; Qingxu Zhu 001; Jiapeng Sheng; Chong Zhang; Tingguang Li; Yizheng Zhang; He Zhang; Yuzhen Liu; Cheng Zhou; Rui Zhao; Jie Li; Yufeng Zhang; et al. (Nat. Mac. Intell., 2024)

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition. - Shuxing Li; Jiawei Xu; Honghua Dong; Yu Yang 015; Chun Yuan; Peng Sun 011; Lei Han 001 (IEEE Trans. Games, 2024)

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling. - Jiawei Xu; Rui Yang 010; Shuang Qiu; Feng Luo; Meng Fang; Baoxiang Wang 001; Lei Han 001 (ICLR, 2025)

VLM-TDP: VLM-guided Trajectory-conditioned Diffusion Policy for Robust Long-Horizon Manipulation. - Kefeng Huang; Tingguang Li; Yuzhen Liu; Zhe Zhang; Jiankun Wang 001; Lei Han 001 (CoRR, 2025)

AgentWorld: An Interactive Simulation Platform for Scene Construction and Mobile Robotic Manipulation. - Yizheng Zhang; Zhenjun Yu; Jiaxin Lai; Cewu Lu; Lei Han 001 (CoRR, 2025)