Yihang Gao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Singular Value Decomposition

Regularization Method

Top Venues

SIAM J. Math. Data Sci.

J. Comput. Phys.

Publications

Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu
On the Expressive Power of a Variant of the Looped Transformer. CoRR (2024)
Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. CoRR (2024)
Yihang Gao, Michael K. Ng, Mingjie Zhou
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks. SIAM J. Math. Data Sci. 5 (4) (2023)
Yihang Gao, Yiqi Gu, Michael Ng
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks. ICML (2023)
Yihang Gao, Man-Chung Yue, Michael Ng
Approximate Secular Equations for the Cubic Regularization Subproblem. NeurIPS (2022)
Yihang Gao, Michael K. Ng
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 463 (2022)
Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR (2022)
Yihang Gao, Michael Kwok-Po Ng
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization. CoRR (2022)
Yihang Gao, Man-Chung Yue, Michael Kwok-Po Ng
Approximate Secular Equations for the Cubic Regularization Subproblem. CoRR (2022)
Yihang Gao, Ka Chun Cheung, Michael K. Ng
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. CoRR (2022)
Yihang Gao, Ka Chun Cheung, Michael K. Ng
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. SSCI (2022)
Yihang Gao, Peng Su, Hui Zhao, Meikang Qiu, Meiqin Liu
Research on Sentiment Dictionary Based on Sentiment Analysis in News Domain. BigDataSecurity (2021)
Yihang Gao, Michael K. Ng
Approximation for Probability Distributions by Wasserstein GAN. CoRR (2021)
Yihang Gao, Michael K. Ng
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. CoRR (2021)
Yihang Gao, Hui Zhao, Qian Zhou, Meikang Qiu, Meiqin Liu
An Improved News Recommendation Algorithm Based on Text Similarity. SmartBlock (2020)