| 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 | 120 | 2021 |
| 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 | 75 | 2020 |
| 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 | 70* | 2022 |
| A faster decentralized algorithm for nonconvex minimax problems W Xian, F Huang, Y Zhang, H Huang Advances in Neural Information Processing Systems 34, 25865-25877, 2021 | 42 | 2021 |
| Momentum-Based Policy Gradient Methods F Huang, S Gao, J Pei, H Huang Proceedings of the 37th International Conference on Machine Learning (ICML 2020), 2020 | 39 | 2020 |
| Faster stochastic alternating direction method of multipliers for nonconvex optimization F Huang, S Chen, H Huang The 36th International Conference on Machine Learning (ICML 2019), 2019 | 37 | 2019 |
| Biadam: Fast adaptive bilevel optimization methods F Huang, J Li, S Gao arXiv preprint arXiv:2106.11396, 2021 | 35 | 2021 |
| Faster Adaptive Federated Learning X Wu, F Huang, Z Hu, H Huang AAAI 2023, 2023 | 33 | 2023 |
| Efficient mirror descent ascent methods for nonsmooth minimax problems F Huang, X Wu, H Huang Advances in Neural Information Processing Systems 34, 10431-10443, 2021 | 28 | 2021 |
| SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients F Huang, J Li, H Huang Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021 | 27 | 2021 |
| Faster gradient-free proximal stochastic methods for nonconvex nonsmooth optimization F Huang, B Gu, Z Huo, S Chen, H Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1503-1510, 2019 | 25 | 2019 |
| Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds F Huang, S Gao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 24 | 2023 |
| Local stochastic bilevel optimization with momentum-based variance reduction J Li, F Huang, H Huang arXiv preprint arXiv:2205.01608, 2022 | 23 | 2022 |
| Joint learning of multiple sparse matrix Gaussian graphical models F Huang, S Chen IEEE transactions on neural networks and learning systems 26 (11), 2606-2620, 2015 | 22 | 2015 |
| Enhanced bilevel optimization via bregman distance F Huang, J Li, S Gao, H Huang Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022 | 20 | 2022 |
| Accelerated Stochastic Gradient-free and Projection-free Methods F Huang, L Tao, S Chen Proceedings of the 37th International Conference on Machine Learning (ICML 2020), 2020 | 18 | 2020 |
| Adagda: Faster adaptive gradient descent ascent methods for minimax optimization F Huang, X Wu, Z Hu AISTATS 2023, 2023 | 16 | 2023 |
| Faster stochastic quasi-Newton methods Q Zhang, F Huang, C Deng, H Huang IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4388-4397, 2021 | 16 | 2021 |
| Joint estimation of multiple conditional Gaussian graphical models F Huang, S Chen, SJ Huang IEEE transactions on neural networks and learning systems 29 (7), 3034-3046, 2017 | 16 | 2017 |
| Stochastic alternating direction method of multipliers with variance reduction for nonconvex optimization F Huang, S Chen, Z Lu arXiv preprint arXiv:1610.02758, 2016 | 16 | 2016 |
Heng HuangBrendan Iribe Endowed Professor in Computer Science, University Maryland College ParkVerified email at umd.edu
