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ORCIDYihang Gao
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2020 – today
- 2025
[j7]Yihang Gao
, Zhiyan Han, Jian Wang:
FastPAD: A fast self-supervised image anomaly detection method based on patch aggregation and discrimination. Neurocomputing 648: 130647 (2025)- [j6]Jing Gu, Tiangang Zhang, Yihang Gao, Sentao Chen, Yuxin Zhang, Hui Cui, Ping Xuan:
Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. J. Chem. Inf. Model. 65(1): 435-445 (2025) - [j5]Yihang Gao, Vincent Y. F. Tan:
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov-Arnold Networks. IEEE Trans. Inf. Theory 71(9): 7270-7291 (2025) - [j4]Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu:
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures. Trans. Mach. Learn. Res. 2025 (2025) - [j3]Yihang Gao, Michael K. P. Ng, Vincent Y. F. Tan:
Low Tensor-Rank Adaptation of Kolmogorov-Arnold Networks. IEEE Trans. Signal Process. 73: 3107-3123 (2025) - [c8]Chuanyang Zheng, Yihang Gao, Han Shi, Jing Xiong, Jiankai Sun, Jingyao Li, Minbin Huang, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li:
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. ACL (1) 2025: 10628-10666 - [i18]Yihang Gao, Michael K. Ng, Vincent Y. F. Tan:
Low Tensor-Rank Adaptation of Kolmogorov-Arnold Networks. CoRR abs/2502.06153 (2025) - [i17]Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Xin Jiang, Zhenguo Li, Yu Li:
Self-Adjust Softmax. CoRR abs/2502.18277 (2025) - [i16]Yihang Gao, Vincent Y. F. Tan:
Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization. CoRR abs/2507.01841 (2025) - [i15]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:
SAS: Simulated Attention Score. CoRR abs/2507.07694 (2025) - [i14]Zhantao Ma, Yihang Gao, Michael K. Ng:
NLAFormer: Transformers Learn Numerical Linear Algebra Operations. CoRR abs/2508.19557 (2025) - [i13]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:
Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel. CoRR abs/2509.25913 (2025) - [i12]Jiarui Ouyang, Yihui Wang, Yihang Gao, Yingxue Xu, Shu Yang, Hao Chen:
GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction. CoRR abs/2510.04315 (2025) - 2024
- [c7]Jiquan Ma, Yihang Gao, Haotian Jiang, Jing Gu, Diliara Khairullina, Hui Cui, Geng Chen:
Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model. BIBM 2024: 4247-4252 - [c6]Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation. NeurIPS 2024 - [i11]Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu:
On the Expressive Power of a Variant of the Looped Transformer. CoRR abs/2402.13572 (2024) - [i10]Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael K. Ng, Xin Jiang, Zhenguo Li, Yu Li:
CAPE: Context-Adaptive Positional Encoding for Length Extrapolation. CoRR abs/2405.14722 (2024) - [i9]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:
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation. CoRR abs/2410.04798 (2024) - [i8]Yihang Gao, Vincent Y. F. Tan:
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov-Arnold Networks. CoRR abs/2410.08041 (2024) - [i7]Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang:
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator. CoRR abs/2412.12094 (2024) - 2023
- [j2]Yihang Gao, Michael K. Ng, Mingjie Zhou:
Approximating Probability Distributions by Using Wasserstein Generative Adversarial Networks. SIAM J. Math. Data Sci. 5(4): 949-976 (2023) - [c5]Yihang Gao, Yiqi Gu, Michael Ng:
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks. ICML 2023: 10676-10707 - 2022
- [j1]Yihang Gao, Michael K. Ng:
Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks. J. Comput. Phys. 463: 111270 (2022) - [c4]Yihang Gao, Man-Chung Yue, Michael Ng:
Approximate Secular Equations for the Cubic Regularization Subproblem. NeurIPS 2022 - [c3]Yihang Gao, Ka Chun Cheung, Michael K. Ng:
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. SSCI 2022: 1443-1450 - [i6]Yihang Gao, Huafeng Liu, Michael K. Ng, Mingjie Zhou:
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization. CoRR abs/2205.11030 (2022) - [i5]Yihang Gao, Man-Chung Yue, Michael Kwok-Po Ng:
Approximate Secular Equations for the Cubic Regularization Subproblem. CoRR abs/2209.13268 (2022) - [i4]Yihang Gao, Michael Kwok-Po Ng:
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization. CoRR abs/2210.05987 (2022) - [i3]Yihang Gao, Ka Chun Cheung, Michael K. Ng:
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition. CoRR abs/2211.08760 (2022) - 2021
- [c2]Yihang Gao, Peng Su, Hui Zhao, Meikang Qiu, Meiqin Liu:
Research on Sentiment Dictionary Based on Sentiment Analysis in News Domain. BigDataSecurity 2021: 117-122 - [i2]Yihang Gao, Michael K. Ng:
Approximation for Probability Distributions by Wasserstein GAN. CoRR abs/2103.10060 (2021) - [i1]Yihang Gao, Michael K. Ng:
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks. CoRR abs/2108.13054 (2021) - 2020
- [c1]Yihang Gao, Hui Zhao, Qian Zhou, Meikang Qiu, Meiqin Liu:
An Improved News Recommendation Algorithm Based on Text Similarity. SmartBlock 2020: 132-136
Coauthor Index
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