Lei Han

According to our database, Lei Han authored at least 25 papers between 2010 and 2024.

Collaborative distances:

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

2024

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition.

Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han

IEEE Trans. Games, March, 2024

2023

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang

IEEE Trans. Neural Networks Learn. Syst., August, 2023

2022

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.

Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han

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

2021

Dynamic Bottleneck for Robust Self-Supervised Exploration.

Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

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

Principled Exploration via Optimistic Bootstrapping and Backward Induction.

Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

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, Xiaojian Zhang, Joseph Zaia, Xiu-Feng Wan

BMC Bioinform., 2020

2019

Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus.

Lei Han, Lei Li, Feng Wen, Lei Zhong, Tong Zhang, Xiu-Feng Wan

Bioinform., 2019

2018

Bayesian Model Averaging With Exponentiated Least Squares Loss.

Dong Dai, Lei Han, Ting Yang, Tong Zhang

IEEE Trans. Inf. Theory, 2018

Temporal Causal Inference with Time Lag.

Sizhen Du, Guojie Song, Lei Han, Haikun Hong

Neural Comput., 2018

2017

Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem.

Lei Han, Tong Zhang

CoRR, 2017

2016

Structure Feature Learning Method for Incomplete Data.

Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie

Int. J. Pattern Recognit. Artif. Intell., 2016

Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression.

Lei Han, Ting Yang, Tong Zhang

CoRR, 2016

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation.

Lei Han, Yu Zhang, Tong Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.

Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Reduction Techniques for Graph-Based Convex Clustering.

Lei Han, Yu Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-Stage Multi-Task Learning with Reduced Rank.

Lei Han, Yu Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Overlapping Decomposition for Gaussian Graphical Modeling.

Guojie Song, Lei Han, Kunqing Xie

IEEE Trans. Knowl. Data Eng., 2015

Learning Tree Structure in Multi-Task Learning.

Lei Han, Yu Zhang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Incorporating temporal smoothness and group structure in learning with incomplete data.

Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Learning Multi-Level Task Groups in Multi-Task Learning.

Lei Han, Yu Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Discriminative Feature Grouping.

Lei Han, Yu Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.

Lei Han, Yu Zhang, Guojie Song, Kunqing Xie

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

Overlapping decomposition for causal graphical modeling.

Lei Han, Guojie Song, Gao Cong, Kunqing Xie

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010

Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning.

Lei Han, Kun-Qing Xie, Guo-Jie Song

Proceedings of the Advances in Neural Networks, 2010

Locally kernel regression adapting with data distribution in prediction of traffic flow.

Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma

Proceedings of the 18th International Conference on Geoinformatics: GIScience in Change, 2010