Minghan Yang

According to our database, Minghan Yang authored at least 10 papers between 2016 and 2024.

Collaborative distances:

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

2024

Riemannian Natural Gradient Methods.

Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen

SIAM J. Sci. Comput., February, 2024

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., May, 2023

Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty.

Yuantao Yao, Minghan Yang, Jianye Wang, Min Xie

IEEE Trans. Ind. Informatics, 2023

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

2022

A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization.

Minghan Yang, Andre Milzarek, Zaiwen Wen, Tong Zhang

Math. Program., 2022

Sketch-Based Empirical Natural Gradient Methods for Deep Learning.

Minghan Yang, Dong Xu, Zaiwen Wen, Mengyun Chen, Pengxiang Xu

J. Sci. Comput., 2022

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

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods.

Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2018

Understanding and Enhancement of Internal Clustering Validation Indexes for Categorical Data.

Xuedong Gao, Minghan Yang

Algorithms, 2018

2016

Bidirectional CABOSFV for high dimensional sparse data clustering.

Xuedong Gao, Minghan Yang, Ling Li

Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016