Yihang Gao

According to our database, Yihang Gao authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

On the Convergence of (Stochastic) Gradient Descent for Kolmogorov-Arnold Networks.

Yihang Gao, Vincent Y. F. Tan

CoRR, 2024

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.

Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li

CoRR, 2024

CAPE: Context-Adaptive Positional Encoding for Length Extrapolation.

Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li

CoRR, 2024

On the Expressive Power of a Variant of the Looped Transformer.

Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu

CoRR, 2024

2023

Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks.

Yihang Gao, Michael K. Ng, Mingjie Zhou

SIAM J. Math. Data Sci., December, 2023

Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks.

Yihang Gao, Yiqi Gu, Michael Ng

Proceedings of the International Conference on Machine Learning, 2023

2022

Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks.

Yihang Gao, Michael K. Ng

J. Comput. Phys., 2022

A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization.

Yihang Gao, Michael Kwok-Po Ng

CoRR, 2022

HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization.

Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou

CoRR, 2022

SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition.

Yihang Gao, Ka Chun Cheung, Michael K. Ng

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Approximate Secular Equations for the Cubic Regularization Subproblem.

Yihang Gao, Man-Chung Yue, Michael Ng

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

2021

Approximation for Probability Distributions by Wasserstein GAN.

Yihang Gao, Michael K. Ng

CoRR, 2021

Research on Sentiment Dictionary Based on Sentiment Analysis in News Domain.

Yihang Gao, Peng Su, Hui Zhao, Meikang Qiu, Meiqin Liu

Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

2020

An Improved News Recommendation Algorithm Based on Text Similarity.

Yihang Gao, Hui Zhao, Qian Zhou, Meikang Qiu, Meiqin Liu

Proceedings of the 3rd International Conference on Smart BlockChain, 2020