Wei Huang
Wei Huang
Verified email at - Homepage
Cited by
Cited by
Augmentation-free graph contrastive learning with performance guarantee
H Wang, J Zhang, Q Zhu, W Huang
arXiv preprint arXiv:2204.04874, 2022
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
On the neural tangent kernel of deep networks with orthogonal initialization
W Huang, W Du, RY Da Xu
IJCAI 2021, 2020
Auto-scaling Vision Transformers without Training
W Chen, W Huang, X Du, X Song, Z Wang, D Zhou
ICLR 2022, 2022
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
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
Deep Active Learning by Leveraging Training Dynamics
H Wang, W Huang, A Margenot, H Tong, J He
NeurIPS 2022, 2021
On the Equivalence between Neural Network and Support Vector Machine
Y Chen, W Huang, LM Nguyen, TW Weng
NeurIPS 2021, Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Differentiable Architecture Search Meets Network Pruning at Initialization: A More Reliable, Efficient, and Flexible Framework
M Zhang, S Su, S Pan, X Chang, W Huang, B Yang, G Haffari
arXiv preprint arXiv:2106.11542, 2021
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply
W Huang, RYD Xu, W Du, Y Zeng, Y Zhao
ECAI 2020, the 24th European Conference on Artificial Intelligence, 2020
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
Towards Understanding Feature Learning in Out-of-Distribution Generalization
Y Chen, W Huang, K Zhou, Y Bian, B Han, J Cheng
arXiv preprint arXiv:2304.11327, 2023
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
W Chen, W Huang, X Gong, B Hanin, Z Wang
NeurIPS 2022, 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
Gaussian process latent variable model factorization for context-aware recommender systems
W Huang, RY Da Xu
Pattern Recognition Letters 151, 281-287, 2021
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
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?
H Wang, J Zhang, Q Zhu, W Huang
arXiv preprint arXiv:2211.10890, 2022
Weighted Mutual Learning with Diversity-Driven Model Compression
M Zhang, L Wang, DGC Campos, W Huang, C Guo, B Yang
Advances in Neural Information Processing Systems, 2022
“No Free Lunch” in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization
W Chen, W Huang, Z Wang
AutoML Conference 2023, 2023
Causal Neural Graph Collaborative Filtering
X Wang, Q Li, D Yu, W Huang, G Xu
arXiv preprint arXiv:2307.04384, 2023
The system can't perform the operation now. Try again later.
Articles 1–20