Yihang Gao
Orcid: 0000-0001-8883-7769
According to our database1,
Yihang Gao
authored at least 18 papers
between 2020 and 2025.
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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
CoRR, 2024
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
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021
2020
Proceedings of the 3rd International Conference on Smart BlockChain, 2020