| 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 | 131 | 2021 |
| 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 | 121 | 2016 |
| 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 | 86 | 2020 |
| 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 | 81 | 2018 |
| Accelerated zeroth-order and first-order momentum methods from mini to minimax optimization F Huang, S Gao, J Pei, H Huang Journal of Machine Learning Research 23 (36), 1-70, 2022 | 76* | 2022 |
| Momentum-based policy gradient methods F Huang, S Gao, J Pei, H Huang International conference on machine learning, 4422-4433, 2020 | 45 | 2020 |
| 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 | 43 | 2022 |
| Biadam: Fast adaptive bilevel optimization methods F Huang, J Li, S Gao arXiv preprint arXiv:2106.11396, 2021 | 39 | 2021 |
| Cross-modal learning with adversarial samples C Li, S Gao, C Deng, D Xie, W Liu Advances in neural information processing systems 32, 2019 | 39 | 2019 |
| Gradient descent ascent for minimax problems on Riemannian manifolds F Huang, S Gao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8466-8476, 2023 | 26 | 2023 |
| Enhanced bilevel optimization via bregman distance F Huang, J Li, S Gao, H Huang NeurIPS 2022, 2022 | 24 | 2022 |
| 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 | 24 | 2021 |
| Bregman gradient policy optimization F Huang*, S Gao*, H Huang ICLR, 2022 | 21 | 2022 |
| 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 | 17 | 2021 |
| Interpretations steered network pruning via amortized inferred saliency maps A Ganjdanesh*, S Gao*, H Huang European Conference on Computer Vision, 278-296, 2022 | 16 | 2022 |
| Disentangled differentiable network pruning S Gao, F Huang, Y Zhang, H Huang European Conference on Computer Vision, 328-345, 2022 | 15 | 2022 |
| 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 | 13 | 2019 |
| 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 | 13 | 2019 |
| Token fusion: Bridging the gap between token pruning and token merging M Kim, S Gao, YC Hsu, Y Shen, H Jin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10 | 2024 |
| Recover fair deep classification models via altering pre-trained structure Y Zhang, S Gao, H Huang European Conference on Computer Vision, 481-498, 2022 | 10 | 2022 |
Heng HuangBrendan Iribe Endowed Professor in Computer Science, University Maryland College ParkVerified email at umd.edu
