关注
Wei Huang
Wei Huang
Research Scientist, RIKEN AIP
在 riken.jp 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
On the neural tangent kernel of deep networks with orthogonal initialization
W Huang, W Du, RY Da Xu
IJCAI 2021, 2020
292020
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
W Huang, Y Li, W Du, RY Da Xu, J Yin, L Chen, M Zhang
ICLR 2022, 2021
262021
Auto-scaling Vision Transformers without Training
W Chen, W Huang, X Du, X Song, Z Wang, D Zhou
ICLR 2022, 2022
252022
Deep Active Learning by Leveraging Training Dynamics
H Wang, W Huang, A Margenot, H Tong, J He
NeurIPS 2022, 2021
242021
Critical percolation clusters in seven dimensions and on a complete graph
W Huang, P Hou, J Wang, RM Ziff, Y Deng
Physical Review E 97 (2), 022107, 2018
242018
Augmentation-free graph contrastive learning with performance guarantee
H Wang, J Zhang, Q Zhu, W Huang*
TMLR 2023, 2022
222022
On the Equivalence between Neural Network and Support Vector Machine
Y Chen, W Huang, LM Nguyen, TW Weng
NeurIPS 2021, 2021
202021
Adaptive multi-GPU exchange Monte Carlo for the 3D random field Ising model
CA Navarro, W Huang, Y Deng
Computer Physics Communications 205, 48-60, 2016
172016
Understanding and improving feature learning for out-of-distribution generalization
Y Chen*, W Huang*, K Zhou*, Y Bian, B Han, J Cheng
NeurIPS 2023, 2024
162024
Single-pass contrastive learning can work for both homophilic and heterophilic graph
H Wang, J Zhang, Q Zhu, W Huang, K Kawaguchi, X Xiao
arXiv preprint arXiv:2211.10890, 2022
15*2022
Pruning graph neural networks by evaluating edge properties
L Wang, W Huang, M Zhang, S Pan, X Chang, SW Su
Knowledge-Based Systems 256, 109847, 2022
132022
Earthfarsser: Versatile spatio-temporal dynamical systems modeling in one model
H Wu, Y Liang, W Xiong, Z Zhou, W Huang, S Wang, K Wang
AAAI 2024 38 (14), 15906-15914, 2024
122024
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection
W Huang, C Liu, Y Chen, RY Da Xu, M Zhang, TW Weng
Transactions on Machine Learning Research, 2023
9*2023
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis
M Zhang, W Huang, L Wang
arXiv preprint arXiv:2106.11542, 2021
8*2021
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective
W Huang, Y Cao, H Wang, X Cao, T Suzuki
ICML 2023 HiLD Workshop (Oral), 2023
72023
Implicit bias of deep linear networks in the large learning rate phase
W Huang, W Du, RY Da Xu, C Liu
arXiv preprint arXiv:2011.12547, 2020
7*2020
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply
W Huang, RYD Xu, W Du, Y Zeng, Y Zhao
ECAI 2020, 2020
72020
Deep relu networks have surprisingly simple polytopes
FL Fan, W Huang, X Zhong, L Ruan, T Zeng, H Xiong, F Wang
arXiv preprint arXiv:2305.09145, 2023
62023
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
W Huang, Y Shi, Z Cai, T Suzuki
ICLR 2024, 2023
52023
Graph Lottery Ticket Automated
G Zhang, K Wang, W Huang, Y Yue, Y Wang, R Zimmermann, A Zhou, ...
ICLR 2024, 2023
52023
系统目前无法执行此操作,请稍后再试。
文章 1–20