Yihang Gao

According to our database, Yihang Gao authored at least 33 papers between 2020 and 2026.

Collaborative distances:

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

2026

ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations.

Yihang Gao, Vincent Y. F. Tan

CoRR, February, 2026

GeoNorm: Unify Pre-Norm and Post-Norm with Geodesic Optimization.

Chuanyang Zheng, Jiankai Sun, Yihang Gao, Chi Wang, Yuehao Wang, Jing Xiong, Liliang Ren, Bo Peng, Qingmei Wang, Xiaoran Shang, Mac Schwager, Anderson Schneider, Yuriy Nevmyvaka, Xiaodong Liu

CoRR, January, 2026

Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization.

Yihang Gao, Vincent Y. F. Tan

IEEE Trans. Signal Process., 2026

Super-resolved microstructure estimation with 3D dual-conditioned latent diffusion model.

Jiquan Ma, Yu Guo, Yihang Gao, Fanhui Kong, Xiuchun Li, Hui Cui, Haotian Jiang, Geng Chen

Knowl. Based Syst., 2026

Consensus of multi-agent systems under variable denial-of-service attacks: Noise-based event-triggered protocols.

Sen Li, Yihang Gao, Wenxue Li

Appl. Math. Comput., 2026

2025

Online Inference of Constrained Optimization: Primal-Dual Optimality and Sequential Quadratic Programming.

Yihang Gao, Michael K. Ng, Michael W. Mahoney, Sen Na

CoRR, December, 2025

GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction.

Jiarui Ouyang, Yihui Wang, Yihang Gao, Yingxue Xu, Shu Yang, Hao Chen

CoRR, October, 2025

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

Yihang Gao, Vincent Y. F. Tan

IEEE Trans. Inf. Theory, September, 2025

Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel.

Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka

CoRR, September, 2025

NLAFormer: Transformers Learn Numerical Linear Algebra Operations.

Zhantao Ma, Yihang Gao, Michael K. Ng

CoRR, August, 2025

SAS: Simulated Attention Score.

Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao

CoRR, July, 2025

Self-Adjust Softmax.

Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Xin Jiang, Zhenguo Li, Yu Li

CoRR, February, 2025

Low Tensor-Rank Adaptation of Kolmogorov-Arnold Networks.

Yihang Gao, Michael K. P. Ng, Vincent Y. F. Tan

IEEE Trans. Signal Process., 2025

AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures.

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

Trans. Mach. Learn. Res., 2025

Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction.

Jing Gu, Tiangang Zhang, Yihang Gao, Sentao Chen, Yuxin Zhang, Hui Cui, Ping Xuan

J. Chem. Inf. Model., 2025

FastPAD: A fast self-supervised image anomaly detection method based on patch aggregation and discrimination.

Yihang Gao, Zhiyan Han, Jian Wang

Neurocomputing, 2025

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

Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Self-Adjust Softmax.

Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Zhenguo Li, Yu Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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 Ng, Xin Jiang, Zhenguo Li, Yu Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

DAPE: Data-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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model.

Jiquan Ma, Yihang Gao, Haotian Jiang, Jing Gu, Diliara Khairullina, Hui Cui, Geng Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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