Multivariate spectral gradient method for unconstrained optimization. - Le Han; Gaohang Yu; Lutai Guan (Appl. Math. Comput., 2008)

Approximation of rank function and its application to the nearest low-rank correlation matrix. - Shujun Bi; Le Han; Shaohua Pan (J. Glob. Optim., 2013)

Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming. - Le Han; Shujun Bi; Shaohua Pan (Numer. Algorithms, 2013)

A GA-based feature selection and parameter optimization for linear support higher-order tensor machine. - Tengjiao Guo; Le Han; Lifang He 001; Xiaowei Yang 003 (Neurocomputing, 2014)

A bilateral-truncated-loss based robust support vector machine for classification problems. - Xiaowei Yang 003; Le Han; Yan Li; Lifang He 001 (Soft Comput., 2015)

Multi-stage convex relaxation method for low-rank and sparse matrix separation problem. - Le Han; Qin Zhang 013 (Appl. Math. Comput., 2016)

Two-stage convex relaxation approach to least squares loss constrained low-rank plus sparsity optimization problems. - Le Han; Shujun Bi; Shaohua Pan (Comput. Optim. Appl., 2016)

A subspace clustering algorithm based on simultaneously sparse and low-rank representation. - Xiaolan Liu 003; Miao Yi; Le Han; Xue Deng (J. Intell. Fuzzy Syst., 2017)

SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection. - Le Han; Xuelong Li 001; Yongsheng Dong (PRCV (4), 2018)

Online multilinear principal component analysis. - Le Han; Zhen Wu; Kui Zeng; Xiaowei Yang (Neurocomputing, 2018)

Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss. - Le Han; Shujun Bi (J. Glob. Optim., 2018)

A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. - Zhaoming Kong; Le Han; Xiaolan Liu 003; Xiaowei Yang 003 (IEEE Trans. Medical Imaging, 2018)

Convolutional Edge Constraint-Based U-Net for Salient Object Detection. - Le Han; Xuelong Li 001; Yongsheng Dong (IEEE Access, 2019)

A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion. - Zisen Fang; Xiaowei Yang 003; Le Han; Xiaolan Liu 003 (IEEE Trans. Cybern., 2019)

Multi-dimensional Analysis of Industrial Big Data Based JSON Document. - Minbo Li; Juxiong Xu; Le Han (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Subspace Distribution Adaptation Frameworks for Domain Adaptation. - Sentao Chen; Le Han; Xiaolan Liu 003; Zongyao He; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multi-hop Learning Promote Cooperation in Multi-agent Systems. - Xingyu Liu; Runyu Guan 001; Tao Wang; Le Han; Yu Qin; Yi Wang (KSEM, 2021)

Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing. - Xinxi Feng; Le Han; Le Dong (Remote. Sens., 2022)

Implicit Decouple Network for Efficient Pose Estimation. - Lei Zhao; Le Han; Min Yao; Nenggan Zheng (ACM Multimedia, 2023)

Robust tensor recovery with nonconvex and nonsmooth regularization. - Shuang Zhang; Le Han (Appl. Math. Comput., 2023)

Phase-matching quantum key distribution based on heralded pair-coherent source. - Le Han; Yang Yu; Wenhao Lu; Ke Xue; Wenting Li; Shengmei Zhao (Quantum Inf. Process., 2023)

A global exact penalty for rank-constrained optimization problem and applications. - Zhikai Yang; Le Han (Comput. Optim. Appl., 2023)

Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi Section. - Jiaqing Chen; Hong Gao; Le Han; Ruilin Yu; Gang Mei (Sensors, 2023)

MCA: Moment Channel Attention Networks. - Yangbo Jiang; Zhiwei Jiang; Le Han; Zenan Huang; Nenggan Zheng (AAAI, 2024)

Multi-task cyclical consistency learning based medical image segmentation. - Le Han; Jianan Zhang; Yan Hu; Xueyu Liu; Guanghui Yue 001; Mingqiang Wei; Yongfei Wu (Eng. Appl. Artif. Intell., 2025)

Applying Image and Video Processing in English Education: A Technology-Enhanced Learning Framework. - Le Han (Scalable Comput. Pract. Exp., 2025)

Rat-UAV Navigation: Cyborg Rat Autonomous Navigation With the Guidance of a UAV. - Nenggan Zheng; Han Zhang; Le Han; Chao Liu 043; Qiqi Li; Pengfei Wang; Guangyu Zhu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Small-Object-Oriented Pose Estimation With Structural Similarity Constraint. - Le Han; Lei Zhao; Han Zhang; Zhiying Song; Pengfei Wang; Nenggan Zheng (IEEE Trans. Instrum. Meas., 2025)

MiniMax-01: Scaling Foundation Models with Lightning Attention. - MiniMax; Aonian Li; Bangwei Gong; Bo Yang; Boji Shan; Chang Liu; Cheng Zhu; Chunhao Zhang; Congchao Guo; Da Chen; Dong Li 033; Enwei Jiao; et al. (CoRR, 2025)

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention. - Aili Chen; Aonian Li; Bangwei Gong; Binyang Jiang; Bo Fei; Bo Yang; Boji Shan; Changqing Yu; Chao Wang; Cheng Zhu; Chengjun Xiao; Chengyu Du; et al. (CoRR, 2025)