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ORCIDLei Han 0001
Person information
- affiliation: Tencent AI Lab, Shenzhen, China
- affiliation (former): Rutgers University, Piscataway, NJ, USA
- affiliation (former): Hong Kong Baptist University, Hong Kong
- affiliation (former): Mississippi State University, USA
- affiliation (PhD 2014): Peking University, School of Electronics Engineering and Computer Science, China
Other persons with the same name
- Lei Han — disambiguation page
- Lei Han 0002
![[0000-0002-8399-9184]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8399-9184")
— Hohai University, College of Computer and Information Engineering, Nanjing, China (and 1 more) - Lei Han 0003 — University of Queensland, Brisbane, QLD, Australia (and 1 more)
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Journal Articles
- 2024
[j8]Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han:
The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition. IEEE Trans. Games 16(1): 225-234 (2024)- 2023
- [j7]Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang:
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4776-4790 (2023) - 2020
- [j6]Lei Li, Deborah Chang, Lei Han, Xiaojian Zhang, Joseph Zaia, Xiu-Feng Wan:
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. 21(1): 182 (2020) - 2019
- [j5]Lei Han, Lei Li, Feng Wen, Lei Zhong, Tong Zhang, Xiu-Feng Wan:
Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus. Bioinform. 35(1): 77-87 (2019) - 2018
- [j4]Sizhen Du, Guojie Song, Lei Han, Haikun Hong:
Temporal Causal Inference with Time Lag. Neural Comput. 30(1) (2018) - [j3]Dong Dai, Lei Han, Ting Yang, Tong Zhang:
Bayesian Model Averaging With Exponentiated Least Squares Loss. IEEE Trans. Inf. Theory 64(5): 3331-3345 (2018) - 2016
- [j2]Xiabing Zhou, Xingxing Xing, Lei Han, Haikun Hong, Kaigui Bian, Kunqing Xie:
Structure Feature Learning Method for Incomplete Data. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1660007:1-1660007:19 (2016) - 2015
- [j1]Guojie Song, Lei Han, Kunqing Xie:
Overlapping Decomposition for Gaussian Graphical Modeling. IEEE Trans. Knowl. Data Eng. 27(8): 2217-2230 (2015)
Conference and Workshop Papers
- 2022
- [c15]Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han:
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS 2022 - 2021
- [c14]Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML 2021: 577-587 - [c13]Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS 2021: 17007-17020 - 2016
- [c12]Lei Han, Yu Zhang:
Multi-Stage Multi-Task Learning with Reduced Rank. AAAI 2016: 1638-1644 - [c11]Lei Han, Yu Zhang:
Reduction Techniques for Graph-Based Convex Clustering. AAAI 2016: 1645-1651 - [c10]Lei Han, Yu Zhang, Xiu-Feng Wan, Tong Zhang:
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data. KDD 2016: 865-874 - [c9]Lei Han, Yu Zhang, Tong Zhang:
Fast Component Pursuit for Large-Scale Inverse Covariance Estimation. KDD 2016: 1585-1594 - 2015
- [c8]Lei Han, Yu Zhang:
Discriminative Feature Grouping. AAAI 2015: 2631-2637 - [c7]Lei Han, Yu Zhang:
Learning Multi-Level Task Groups in Multi-Task Learning. AAAI 2015: 2638-2644 - [c6]Xiabing Zhou, Lei Han, Xingxing Xing, Haikun Hong, Wenhao Huang, Kaigui Bian, Kunqing Xie:
Incorporating temporal smoothness and group structure in learning with incomplete data. FSKD 2015: 1055-1060 - [c5]Lei Han, Yu Zhang:
Learning Tree Structure in Multi-Task Learning. KDD 2015: 397-406 - 2014
- [c4]Lei Han, Yu Zhang, Guojie Song, Kunqing Xie:
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework. AAAI 2014: 1854-1860 - 2012
- [c3]Lei Han, Guojie Song, Gao Cong, Kunqing Xie:
Overlapping decomposition for causal graphical modeling. KDD 2012: 114-122 - 2010
- [c2]Lei Han, Meng Shuai, Kunqing Xie, Guojie Song, Xiujun Ma:
Locally kernel regression adapting with data distribution in prediction of traffic flow. Geoinformatics 2010: 1-6 - [c1]Lei Han, Kun-Qing Xie, Guo-Jie Song:
Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning. ISNN (2) 2010: 408-415
Informal and Other Publications
- 2022
- [i5]Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han:
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR abs/2206.02829 (2022) - 2021
- [i4]Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR abs/2105.06022 (2021) - [i3]Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR abs/2110.10735 (2021) - 2017
- [i2]Lei Han, Tong Zhang:
Candidates v.s. Noises Estimation for Large Multi-Class Classification Problem. CoRR abs/1711.00658 (2017) - 2016
- [i1]Lei Han, Ting Yang, Tong Zhang:
Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression. CoRR abs/1604.08098 (2016)
Coauthor Index
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last updated on 2024-07-09 23:48 CEST by the dblp team
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