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Le Han
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2020 – today
- 2024
- [c5]Yangbo Jiang, Zhiwei Jiang, Le Han, Zenan Huang, Nenggan Zheng:
MCA: Moment Channel Attention Networks. AAAI 2024: 2579-2588 - [i1]Yangbo Jiang, Zhiwei Jiang, Le Han, Zenan Huang, Nenggan Zheng:
MCA: Moment Channel Attention Networks. CoRR abs/2403.01713 (2024) - 2023
- [j19]Shuang Zhang, Le Han:
Robust tensor recovery with nonconvex and nonsmooth regularization. Appl. Math. Comput. 438: 127566 (2023) - [j18]Zhikai Yang, Le Han:
A global exact penalty for rank-constrained optimization problem and applications. Comput. Optim. Appl. 84(2): 477-508 (2023) - [j17]Le Han, Yang Yu, Wenhao Lu, Ke Xue, Wenting Li, Shengmei Zhao:
Phase-matching quantum key distribution based on heralded pair-coherent source. Quantum Inf. Process. 22(1): 37 (2023) - [j16]Jiaqing Chen, Hong Gao, Le Han, Ruilin Yu, Gang Mei:
Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi Section. Sensors 23(14): 6608 (2023) - [c4]Lei Zhao, Le Han, Min Yao, Nenggan Zheng:
Implicit Decouple Network for Efficient Pose Estimation. ACM Multimedia 2023: 2591-2599 - 2022
- [j15]Xinxi Feng, Le Han, Le Dong:
Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing. Remote. Sens. 14(2): 383 (2022) - 2021
- [c3]Xingyu Liu, Runyu Guan, Tao Wang, Le Han, Yu Qin, Yi Wang:
Multi-hop Learning Promote Cooperation in Multi-agent Systems. KSEM 2021: 66-77 - 2020
- [j14]Sentao Chen, Le Han, Xiaolan Liu, Zongyao He, Xiaowei Yang:
Subspace Distribution Adaptation Frameworks for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5204-5218 (2020) - [c2]Minbo Li, Juxiong Xu, Le Han:
Multi-dimensional Analysis of Industrial Big Data Based JSON Document. ISPA/BDCloud/SocialCom/SustainCom 2020: 1066-1073
2010 – 2019
- 2019
- [j13]Le Han, Xuelong Li, Yongsheng Dong:
Convolutional Edge Constraint-Based U-Net for Salient Object Detection. IEEE Access 7: 48890-48900 (2019) - [j12]Zisen Fang, Xiaowei Yang, Le Han, Xiaolan Liu:
A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion. IEEE Trans. Cybern. 49(5): 1956-1967 (2019) - 2018
- [j11]Le Han, Zhen Wu, Kui Zeng, Xiaowei Yang:
Online multilinear principal component analysis. Neurocomputing 275: 888-896 (2018) - [j10]Le Han, Shujun Bi:
Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss. J. Glob. Optim. 70(1): 71-97 (2018) - [j9]Zhaoming Kong, Le Han, Xiaolan Liu, Xiaowei Yang:
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. IEEE Trans. Medical Imaging 37(4): 941-954 (2018) - [c1]Le Han, Xuelong Li, Yongsheng Dong:
SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection. PRCV (4) 2018: 186-198 - 2017
- [j8]Xiaolan Liu, Miao Yi, Le Han, Xue Deng:
A subspace clustering algorithm based on simultaneously sparse and low-rank representation. J. Intell. Fuzzy Syst. 33(1): 621-633 (2017) - 2016
- [j7]Le Han, Qin Zhang:
Multi-stage convex relaxation method for low-rank and sparse matrix separation problem. Appl. Math. Comput. 284: 175-184 (2016) - [j6]Le Han, Shujun Bi, Shaohua Pan:
Two-stage convex relaxation approach to least squares loss constrained low-rank plus sparsity optimization problems. Comput. Optim. Appl. 64(1): 119-148 (2016) - 2015
- [j5]Xiaowei Yang, Le Han, Yan Li, Lifang He:
A bilateral-truncated-loss based robust support vector machine for classification problems. Soft Comput. 19(10): 2871-2882 (2015) - 2014
- [j4]Tengjiao Guo, Le Han, Lifang He, Xiaowei Yang:
A GA-based feature selection and parameter optimization for linear support higher-order tensor machine. Neurocomputing 144: 408-416 (2014) - 2013
- [j3]Shujun Bi, Le Han, Shaohua Pan:
Approximation of rank function and its application to the nearest low-rank correlation matrix. J. Glob. Optim. 57(4): 1113-1137 (2013) - [j2]Le Han, Shujun Bi, Shaohua Pan:
Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming. Numer. Algorithms 62(1): 79-113 (2013)
2000 – 2009
- 2008
- [j1]Le Han, Gaohang Yu, Lutai Guan:
Multivariate spectral gradient method for unconstrained optimization. Appl. Math. Comput. 201(1-2): 621-630 (2008)
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