Shangqian Gao
Shangqian Gao
Verified email at pitt.edu
Title
Cited by
Cited by
Year
Discriminative multi-instance multitask learning for 3d action recognition
Y Yang, C Deng, S Gao, W Liu, D Tao, X Gao
IEEE Transactions on Multimedia 19 (3), 519-529, 2016
932016
Action prediction from videos via memorizing hard-to-predict samples
Y Kong, S Gao, B Sun, Y Fu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
522018
Accelerated zeroth-order momentum methods from mini to minimax optimization
F Huang, S Gao, J Pei, H Huang
arXiv e-prints, arXiv: 2008.08170, 2020
122020
Nonconvex zeroth-order stochastic ADMM methods with lower function query complexity
F Huang, S Gao, J Pei, H Huang
arXiv preprint arXiv:1907.13463, 2019
122019
Discrete model compression with resource constraint for deep neural networks
S Gao, F Huang, J Pei, H Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
112020
Momentum-based policy gradient methods
F Huang, S Gao, J Pei, H Huang
International Conference on Machine Learning, 4422-4433, 2020
102020
Cross-modal learning with adversarial samples
C Li, S Gao, C Deng, D Xie, W Liu
82019
Zeroth-order stochastic alternating direction method of multipliers for nonconvex nonsmooth optimization
F Huang, S Gao, S Chen, H Huang
arXiv preprint arXiv:1905.12729, 2019
82019
Network Pruning via Performance Maximization
S Gao, F Huang, W Cai, H Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
Cross domain model compression by structurally weight sharing
S Gao, C Deng, H Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
22019
Video recovery via learning variation and consistency of images
Z Huo, S Gao, W Cai, H Huang
Thirty-First AAAI Conference on Artificial Intelligence, 2017
22017
Bregman gradient policy optimization
F Huang, S Gao, H Huang
arXiv preprint arXiv:2106.12112, 2021
12021
Gradient Descent Ascent for Min-Max Problems on Riemannian Manifolds
F Huang, S Gao, H Huang
arXiv preprint arXiv:2010.06097, 2020
12020
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity
B Gu, X Wei, S Gao, Z Xiong, C Deng, H Huang
Journal of Machine Learning Research 22 (170), 1-47, 2021
2021
Model Compression via Hyper-Structure Network
S Gao, F Huang, H Huang
2020
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization
F Huang, S Gao, J Pei, H Huang
arXiv preprint arXiv:2008.08170, 2020
2020
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization Download PDF
F Huang, S Gao, J Pei, H Huang
Momentum-Based Policy Gradient Methods Download PDF
F Huang, S Gao, J Pei, H Huang
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