Feihu Huang
Orcid: 0000-0003-0806-6074Affiliations:
- Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China
- University of Pittsburgh, Department of Electrical and Computer Engineering, PA, USA (2018 - 2022)
- Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China (PhD 2017)
According to our database1,
Feihu Huang
authored at least 52 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
0
5
10
7
7
5
2
1
3
1
5
4
5
6
3
3
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
CoRR, 2023
CoRR, 2023
On Momentum-Based Gradient Methods for Bilevel Optimization with Nonconvex Lower-Level.
CoRR, 2023
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems.
CoRR, 2023
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging.
CoRR, 2023
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Neural Networks, 2022
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization.
J. Mach. Learn. Res., 2022
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
CoRR, 2021
Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Knowl. Data Eng., 2018
2015
IEEE Trans. Neural Networks Learn. Syst., 2015