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Shangqian Gao
Shangqian Gao
University of Pittsburgh; Samsung Research America
Verified email at pitt.edu - Homepage
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
1222016
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
1142021
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
772018
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
712020
Accelerated zeroth-order and first-order momentum methods from mini to minimax optimization
F Huang, S Gao, J Pei, H Huang
The Journal of Machine Learning Research 23 (1), 1616-1685, 2022
70*2022
Momentum-based policy gradient methods
F Huang, S Gao, J Pei, H Huang
International conference on machine learning, 4422-4433, 2020
382020
Cross-modal learning with adversarial samples
C Li, S Gao, C Deng, D Xie, W Liu
Advances in neural information processing systems 32, 2019
332019
Biadam: Fast adaptive bilevel optimization methods
F Huang, J Li, S Gao
arXiv preprint arXiv:2106.11396, 2021
322021
Improving social network embedding via new second-order continuous graph neural networks
Y Zhang, S Gao, J Pei, H Huang
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
302022
Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds
F Huang, S Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
212023
Enhanced bilevel optimization via bregman distance
F Huang, J Li, S Gao, H Huang
NeurIPS 2022, 2022
212022
Exploration and estimation for model compression
Y Zhang*, S Gao*, H Huang
Proceedings of the IEEE/CVF International Conference on Computer Vision, 487-496, 2021
192021
Bregman gradient policy optimization
F Huang*, S Gao*, H Huang
ICLR, 2022
142022
Adversarial Attack on Deep Cross-Modal Hamming Retrieval
C Li*, S Gao*, C Deng, W Liu, H Huang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
122021
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
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
112019
Interpretations steered network pruning via amortized inferred saliency maps
A Ganjdanesh*, S Gao*, H Huang
European Conference on Computer Vision, 278-296, 2022
102022
Disentangled differentiable network pruning
S Gao, F Huang, Y Zhang, H Huang
European Conference on Computer Vision, 328-345, 2022
92022
Recover fair deep classification models via altering pre-trained structure
Y Zhang, S Gao, H Huang
European Conference on Computer Vision, 481-498, 2022
62022
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
62019
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