Bidirectional CABOSFV for high dimensional sparse data clustering. - Xuedong Gao; Minghan Yang; Ling Li (LISS, 2016)

Understanding and Enhancement of Internal Clustering Validation Indexes for Categorical Data. - Xuedong Gao; Minghan Yang (Algorithms, 2018)

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. - Minghan Yang; Dong Xu; Hongyu Chen; Zaiwen Wen; Mengyun Chen (CVPR, 2021)

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. - Minghan Yang; Dong Xu; Qiwen Cui; Zaiwen Wen; Pengxiang Xu (CoRR, 2021)

Sketch-Based Empirical Natural Gradient Methods for Deep Learning. - Minghan Yang; Dong Xu; Zaiwen Wen; Mengyun Chen; Pengxiang Xu (J. Sci. Comput., 2022)

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. - Minghan Yang; Andre Milzarek; Zaiwen Wen; Tong Zhang 001 (Math. Program., 2022)

Sparse Inversion of Aerosol Concentration Distribution Based on LIDAR Remote Sensing. - Weiyi Wang; Dongsheng Yu; Haibo Yu; Minghan Yang; Chidong Xu; Xiaodong Fang (IEEE Access, 2023)

Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty. - Yuantao Yao; Minghan Yang; Jianye Wang; Min Xie 001 (IEEE Trans. Ind. Informatics, 2023)

An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. - Minghan Yang; Dong Xu; Qiwen Cui; Zaiwen Wen; Pengxiang Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Riemannian Natural Gradient Methods. - Jiang Hu; Ruicheng Ao; Anthony Man-Cho So; Minghan Yang; Zaiwen Wen (SIAM J. Sci. Comput., 2024)