Yihang Gao

Orcid: 0000-0001-8883-7769

According to our database1, Yihang Gao authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
On the Expressive Power of a Variant of the Looped Transformer.
CoRR, 2024

2023
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks.
SIAM J. Math. Data Sci., December, 2023

Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

2022
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks.
J. Comput. Phys., 2022

A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization.
CoRR, 2022

HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization.
CoRR, 2022

SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Approximate Secular Equations for the Cubic Regularization Subproblem.
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.
CoRR, 2021

Research on Sentiment Dictionary Based on Sentiment Analysis in News Domain.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

2020
An Improved News Recommendation Algorithm Based on Text Similarity.
Proceedings of the 3rd International Conference on Smart BlockChain, 2020


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