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Sen Yang
Sen Yang
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Title
Cited by
Cited by
Year
Parallel restarted SGD with faster convergence and less communication: Demystifying why model averaging works for deep learning
H Yu, S Yang, S Zhu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5693-5700, 2019
606*2019
On the linear speedup analysis of communication efficient momentum SGD for distributed non-convex optimization
H Yu, R Jin, S Yang
International Conference on Machine Learning, 7184-7193, 2019
3572019
Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification
CY Wee, S Yang, PT Yap, D Shen
Brain imaging and behavior 10 (2), 342-356, 2016
1762016
Feature grouping and selection over an undirected graph
S Yang, L Yuan, YC Lai, X Shen, P Wonka, J Ye
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
1432012
Fused multiple graphical lasso
S Yang, Z Lu, X Shen, P Wonka, J Ye
SIAM Journal on Optimization 25 (2), 916–943, 2015
1062015
Unified Visual Transformer Compression
S Yu, T Chen, J Shen, H Yuan, J Tan, S Yang, J Liu, Z Wang
ICLR 2022, 2022
602022
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems
S Yang, J Wang, W Fan, X Zhang, P Wonka, J Ye
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
592013
Multifeature, sparse-based approach for defects detection and classification in semiconductor units
BM Haddad, S Yang, LJ Karam, J Ye, NS Patel, MW Braun
IEEE Transactions on Automation Science and Engineering 15 (1), 145-159, 2016
522016
GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Y Guo, H Yuan, J Tan, Z Wang, S Yang, J Liu
ICCV 2021, 2021
462021
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
X Zha, W Zhu, T Lv, S Yang, J Liu
NeurIPS 2021, 2021
302021
Structural Graphical Lasso for Learning Mouse Brain Connectivity
S Yang, Q Sun, S Ji, P Wonka, I Davidson, J Ye
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
282015
Learning with non-convex truncated losses by SGD
Y Xu, S Zhu, S Yang, C Zhang, R Jin, T Yang
Uncertainty in Artificial Intelligence, 701-711, 2020
272020
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
JL S Lu, J Li, J Tan, S Yang
NeurIPS 2021, 2021
26*2021
Persia: An open, hybrid system scaling deep learning-based recommenders up to 100 trillion parameters
X Lian, B Yuan, X Zhu, Y Wang, Y He, H Wu, L Sun, H Lyu, C Liu, X Dong, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
25*2022
BAGUA: Scaling up Distributed Learning with System Relaxations
S Gan, X Lian, R Wang, J Chang, C Liu, H Shi, S Zhang, X Li, T Sun, ...
VLDB 2022, 2022
252022
A highly scalable parallel algorithm for isotropic total variation models
J Wang, Q Li, S Yang, W Fan, P Wonka, J Ye
International Conference on Machine Learning, 235-243, 2014
162014
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Y Shen, Y Li, J Zheng, W Zhang, P Yao, J Li, S Yang, J Liu, C Bin
AAAI, 2023
152023
Shrinking the upper confidence bound: A dynamic product selection problem for urban warehouses
R Jin, D Simchi-Levi, L Wang, X Wang, S Yang
Management Science 67 (8), 4756-4771, 2021
122021
Multi-task vector field learning
B Lin, S Yang, C Zhang, J Ye, X He
Advances in neural information processing systems 25, 2012
102012
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
S Dai, H Lin, Z Zhao, J Lin, H Wu, Z Wang, S Yang, J Liu
arXiv preprint arXiv:2108.04690, 2021
92021
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