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Feihu Huang
Feihu Huang
Professor of Nanjing University of Aeronautics & Astronautics; University of Pittsburgh
Verified email at pitt.edu
Title
Cited by
Cited by
Year
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
1202021
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
752020
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
422021
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
392020
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
362019
Biadam: Fast adaptive bilevel optimization methods
F Huang, J Li, S Gao
arXiv preprint arXiv:2106.11396, 2021
352021
Faster Adaptive Federated Learning
X Wu, F Huang, Z Hu, H Huang
AAAI 2023, 2023
332023
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
282021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
F Huang, J Li, H Huang
Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021
272021
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
252019
Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds
F Huang, S Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
242023
Local stochastic bilevel optimization with momentum-based variance reduction
J Li, F Huang, H Huang
arXiv preprint arXiv:2205.01608, 2022
232022
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
222015
Enhanced bilevel optimization via bregman distance
F Huang, J Li, S Gao, H Huang
Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022
202022
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
182020
Adagda: Faster adaptive gradient descent ascent methods for minimax optimization
F Huang, X Wu, Z Hu
AISTATS 2023, 2023
162023
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
162021
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
162017
Stochastic alternating direction method of multipliers with variance reduction for nonconvex optimization
F Huang, S Chen, Z Lu
arXiv preprint arXiv:1610.02758, 2016
162016
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