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Fanghui Liu
Fanghui Liu
13
papers
132
total citations
papers (13)
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
NEURIPS 2022
arXiv
23
citations
Generalization Properties of NAS under Activation and Skip Connection Search
NEURIPS 2022
arXiv
21
citations
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
NEURIPS 2023
arXiv
16
citations
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NEURIPS 2022
arXiv
15
citations
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
ICML 2025
arXiv
15
citations
On the Convergence of Encoder-only Shallow Transformers
NEURIPS 2023
arXiv
14
citations
On the Double Descent of Random Features Models Trained with SGD
NEURIPS 2022
arXiv
11
citations
Sound and Complete Verification of Polynomial Networks
NEURIPS 2022
arXiv
6
citations
Revisiting Character-level Adversarial Attacks for Language Models
ICML 2024
arXiv
6
citations
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
ICML 2024
arXiv
3
citations
Generalization of Scaled Deep ResNets in the Mean-Field Regime
ICLR 2024
arXiv
2
citations
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration
NEURIPS 2022
0
citations
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
NEURIPS 2025
arXiv
0
citations