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Weizhong Zhang
Weizhong Zhang
Geverifieerd e-mailadres voor ust.hk
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Geciteerd door
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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
2492019
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
342019
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
262018
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
242017
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
232017
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
212021
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
182018
Sparse learning with stochastic composite optimization
W Zhang, L Zhang, Z Jin, R Jin, D Cai, X Li, R Liang, X He
IEEE transactions on pattern analysis and machine intelligence 39 (6), 1223-1236, 2016
152016
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
152014
Convex formulation of overparameterized deep neural networks
C Fang, Y Gu, W Zhang, T Zhang
IEEE Transactions on Information Theory, 2022
132022
Accelerated Sparse Linear Regression via Random Projection
W Zhang, L Zhang, R Jin, D Cai, X He
112016
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
82020
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
72021
Identifying genetic risk factors for Alzheimer's disease via shared tree-guided feature learning across multiple tasks
W Zhang, T Luo, S Qiu, J Ye, D Cai, X He, J Wang
IEEE Transactions on Knowledge and Data Engineering 30 (11), 2145-2156, 2018
62018
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
22022
Safe Element Screening for Submodular Function Minimization
W Zhang, B Hong, L Ma, W Liu, T Zhang
Thirty-fifth International Conference on Machine Learning, 2018
22018
Finding Dynamics Preserving Adversarial Winning Tickets
X Shi, P Zheng, AA Ding, Y Gao, W Zhang
The 25th International Conference on Artificial Intelligence and Statistics, 2022
12022
Probabilistic Bilevel Coreset Selection
X Zhou*, R Pi*, W Zhang*, Y Lin, Z Chen, T Zhang
International Conference on Machine Learning, 27287-27302, 2022
2022
Sparse Invariant Risk Minimization
X Zhou*, Y Lin*, W Zhang*, T Zhang
International Conference on Machine Learning, 27222-27244, 2022
2022
Content-aware recommendation via Dynamic Heterogeneous Graph Convolutional Network
T Liang, L Ma, W Zhang, H Xu, C Xia, Y Yin
Knowledge-Based Systems, 109185, 2022
2022
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Artikelen 1–20