Min Wang

According to our database, Min Wang authored at least 11 papers between 2020 and 2023.

Collaborative distances:

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

2023

Eigenvalue-Corrected Natural Gradient Based on a New Approximation.

Kai-Xin Gao, Zheng-Hai Huang, Xiaolei Liu, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu

Asia Pac. J. Oper. Res., February, 2023

2022

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction.

Jun Zhang, Sirui Liu, Mengyun Chen, Haotian Chu, Min Wang, Zidong Wang, Jialiang Yu, Ningxi Ni, Fan Yu, Diqing Chen, Yi Isaac Yang, Boxin Xue, Lijiang Yang, Yuan Liu, Yi Qin Gao

CoRR, 2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction.

Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, Yuan Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao

CoRR, 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.

Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.

Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.

Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong

CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.

Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong

CoRR, 2021

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.

Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang

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

A Trace-restricted Kronecker-Factored Approximation to Natural Gradient.

Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.

Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.

Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang

CoRR, 2020