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Zeke Xie
Zeke Xie
Assistant Professor of DSA and AI, HKUST(GZ)
Verified email at hkust-gz.edu.cn - Homepage
Title
Cited by
Cited by
Year
A diffusion theory for deep learning dynamics: Stochastic gradient descent exponentially favors flat minima
Z Xie, I Sato, M Sugiyama
International Conference on Learning Representations (ICLR 2021), 2021
1272021
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
S Yang, Z Xie, H Peng, M Xu, M Sun, P Li
International Conference on Learning Representations (ICLR 2023), 2023
562023
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
Z Xie, F He, S Fu, I Sato, D Tao, M Sugiyama
Neural Computation 33 (8), 2163–2192, 2021
542021
Adaptive Inertia: Disentangling the effects of adaptive learning rate and momentum
Z Xie, X Wang, H Zhang, I Sato, M Sugiyama
International Conference on Machine Learning (ICML 2022, Oral), 2022
46*2022
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Z Xie, L Yuan, Z Zhu, M Sugiyama
International Conference on Machine Learning (ICML 2021) 139, 11448--11458, 2021
322021
Stable weight decay regularization
Z Xie, I Sato, M Sugiyama
322020
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Z He, Z Xie, Q Zhu, Z Qin
International Conference on Machine Learning (ICML 2022), 2022
242022
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
Z Xie, Z Xu, J Zhang, I Sato, M Sugiyama
Neural Information Processing Systems (NeurIPS 2023), 2024
22*2024
On the power-law spectrum in deep learning: A bridge to protein science
Z Xie, QY Tang, Y Cai, M Sun, P Li
arXiv preprint arXiv:2201.13011 2, 2022
17*2022
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
Z Xie, X Yang, Y Yang, Q Sun, Y Jiang, H Wang, Y Cai, M Sun
International Conference on Computer Vision (ICCV 2023), 2023
162023
On the Overlooked Structure of Stochastic Gradients
Z Xie, QY Tang, M Sun, P Li
Neural Information Processing Systems (NeurIPS 2023), 2024
6*2024
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors
Z Xie, I Sato
Asian Conference on Machine Learning 2017, PMLR 77, 81-96, 2017
32017
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models
H Wang, H Wang, J Yang, Z Yu, Z Xie, L Tian, X Xiao, J Jiang, X Liu, ...
arXiv preprint arXiv:2401.05870, 2024
12024
VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model
J Yang, H Wang, Z Zhu, C Liu, MW Wu, Z Xie, Z Ji, J Han, M Sun
arXiv preprint arXiv:2406.01059, 2024
2024
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior
Z Yu, H Wang, J Yang, H Wang, Z Xie, Y Cai, J Cao, Z Ji, M Sun
arXiv preprint arXiv:2403.20079, 2024
2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
X Zhou, X Liu, H Yu, J Wang, Z Xie, J Jiang, X Ji
International Conference on Learning Representations (ICLR 2024), 2024
2024
Neural Field Classifiers via Target Encoding and Classification Loss
X Yang, Z Xie, X Zhou, B Liu, B Liu, Y Liu, H Wang, Y Cai, M Sun
International Conference on Learning Representations (ICLR 2024), 2024
2024
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