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Weizhong Zhang
Weizhong Zhang
Fudan University
Verified email at ust.hk
Title
Cited by
Cited by
Year
A sufficient condition for convergences of adam and rmsprop
F Zou, L Shen, Z Jie, W Zhang, W Liu
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019
4372019
Effective sparsification of neural networks with global sparsity constraint
X Zhou*, W Zhang*, H Xu, T Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
612021
Sparse Invariant Risk Minimization
X Zhou*, Y Lin*, W Zhang*, T Zhang
International Conference on Machine Learning, 27222-27244, 2022
572022
Model agnostic sample reweighting for out-of-distribution learning
X Zhou, Y Lin, R Pi, W Zhang, R Xu, P Cui, T Zhang
International Conference on Machine Learning, 27203-27221, 2022
472022
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
W Zhang, B Hong, W Liu, J Ye, D Cai, X He, J Wang
Journal of Machine Learning Research 20 (121), 1-39, 2019
422019
Hierarchical attention-based recurrent highway networks for time series prediction
Y Tao, L Ma, W Zhang, J Liu, W Liu, Q Du
arXiv preprint arXiv:1806.00685, 2018
352018
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
X Zhou*, W Zhang*, Z Chen, S Diao, T Zhang
Advances in Neural Information Processing Systems, 2021
332021
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
W Zhang, B Hong, W Liu, J Ye, D Cai, X He, J Wang
Thirty-fourth International Conference on Machine Learning, 2017
302017
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning
T Luo, W Zhang, S Qiu, Y Yang, D Yi, G Wang, J Ye, J Wang
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
262017
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
X Yan, W Zhang, L Ma, W Liu, Q Wu
Advances in Neural Information Processing Systems, 1580-1590, 2018
252018
Sparse learning for stochastic composite optimization
W Zhang, L Zhang, Y Hu, R Jin, D Cai, X He
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence 893, 2014
232014
Convex formulation of overparameterized deep neural networks
C Fang, Y Gu, W Zhang, T Zhang
IEEE Transactions on Information Theory, 2022
212022
Content-aware recommendation via dynamic heterogeneous graph convolutional network
T Liang, L Ma, W Zhang, H Xu, C Xia, Y Yin
Knowledge-Based Systems 251, 109185, 2022
192022
Probabilistic Bilevel Coreset Selection
X Zhou*, R Pi*, W Zhang*, Y Lin, Z Chen, T Zhang
International Conference on Machine Learning, 27287-27302, 2022
192022
Fast adversarial training with adaptive step size
Z Huang, Y Fan, C Liu, W Zhang, Y Zhang, M Salzmann, S Süsstrunk, ...
IEEE Transactions on Image Processing, 2023
152023
Accelerated Sparse Linear Regression via Random Projection
W Zhang, L Zhang, R Jin, D Cai, X He
132016
DYNAFED: Tackling client data heterogeneity with global dynamics
R Pi, W Zhang, Y Xie, J Gao, X Wang, S Kim, Q Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
A Holistic View of Noise Transition Matrix in Deep Learning and Beyond
LIN Yong, R Pi, W ZHANG, X Xia, J Gao, X Zhou, T Liu, B Han
International Conference on Learning Representations, 2023
10*2023
How to characterize the landscape of overparameterized convolutional neural networks
Y Gu*, W Zhang*, C Fang, JD Lee, T Zhang
Advances in Neural Information Processing Systems, 2020
102020
Spurious feature diversification improves out-of-distribution generalization
Y Lin, L Tan, Y Hao, H Wong, H Dong, W Zhang, Y Yang, T Zhang
arXiv preprint arXiv:2309.17230, 2023
92023
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