Yihang Gao

Orcid: 0000-0001-8883-7769

According to our database1, Yihang Gao authored at least 18 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Links

On csauthors.net:

Bibliography

2025
Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction.
J. Chem. Inf. Model., 2025

2024
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator.
CoRR, 2024

On the Convergence of (Stochastic) Gradient Descent for Kolmogorov-Arnold Networks.
CoRR, 2024

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation.
CoRR, 2024

CAPE: Context-Adaptive Positional Encoding for Length Extrapolation.
CoRR, 2024

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

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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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