Fanghui Liu

1. Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
   2020/04/23 by Fanghui Liu, Liu, Fanghui, Xiaolin Huang +5 · 7 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM
2. LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
   2025/02/03 by Y. T. Zhang, Zhang, Yuanhe, Fanghui Liu +3 · 9 citations
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Medical Image Segmentation Techniques #Stochastic Gradient Optimization Techniques
3. Benign Overfitting in Deep Neural Networks under Lazy Training
   2023/05/30 by Zhenyu Zhu, Zhu, Zhenyu, Fanghui Liu +7 · 2 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
4. Sound and Complete Verification of Polynomial Networks
   2022/09/15 by Elias Abad Rocamora, Rocamora, Elias Abad, Mehmet Fatih Sahin +7 · 1 citation
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
5. Generalization Properties of NAS under Activation and Skip Connection Search
   2022/09/15 by Zhenyu Zhu, Fanghui Liu, Zhu, Zhenyu +5 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
6. Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
   2023/10/31 by Jiayuan Ye, Zhenyu Zhu, Ye, Jiayuan +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
7. High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
   2024/06/05 by Yihang Chen, Chen, Yihang, Fanghui Liu +5 · 1 citation
   Mathematics · Engineering · Computer Science · #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Gaussian Processes and Bayesian Inference
8. Robust NAS under adversarial training: benchmark, theory, and beyond
   2024/03/19 by Yongtao Wu, Wu, Yongtao, Fanghui Liu +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
   2026/02/02 by Yuanhe Zhang, Jason D. Lee, Fanghui Liu · 1 voice · 1 citation
   #cs.LG #cs.CL #math.ST