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Minghan Yang
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2020 – today
- 2024
- [j7]Jiang Hu
, Ruicheng Ao, Anthony Man-Cho So
Riemannian Natural Gradient Methods. SIAM J. Sci. Comput. 46(1): 204- (2024) - 2023
- [j6]Weiyi Wang, Dongsheng Yu, Haibo Yu
Sparse Inversion of Aerosol Concentration Distribution Based on LIDAR Remote Sensing. IEEE Access 11: 98845-98853 (2023) - [j5]Minghan Yang, Dong Xu, Qiwen Cui
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5391-5403 (2023) - [j4]Yuantao Yao
Multivariate Time-Series Prediction in Industrial Processes via a Deep Hybrid Network Under Data Uncertainty. IEEE Trans. Ind. Informatics 19(2): 1977-1987 (2023) - 2022
- [j3]Minghan Yang, Dong Xu, Zaiwen Wen
Sketch-Based Empirical Natural Gradient Methods for Deep Learning. J. Sci. Comput. 92(3): 94 (2022) - [j2]Minghan Yang, Andre Milzarek
A stochastic extra-step quasi-Newton method for nonsmooth nonconvex optimization. Math. Program. 194(1): 257-303 (2022) - [i2]Jiang Hu, Ruicheng Ao, Anthony Man-Cho So, Minghan Yang, Zaiwen Wen:
Riemannian Natural Gradient Methods. CoRR abs/2207.07287 (2022) - 2021
- [c2]Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen:
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. CVPR 2021: 10654-10663 - [i1]Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu:
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. CoRR abs/2106.07454 (2021)
2010 – 2019
- 2018
- [j1]Xuedong Gao, Minghan Yang:
Understanding and Enhancement of Internal Clustering Validation Indexes for Categorical Data. Algorithms 11(11): 177 (2018) - 2016
- [c1]Xuedong Gao, Minghan Yang, Ling Li:
Bidirectional CABOSFV for high dimensional sparse data clustering. LISS 2016: 1-6
Coauthor Index
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