Articles with public access mandates - Haoran SunLearn more
Available somewhere: 10
Learning to optimize: Training deep neural networks for interference management
H Sun, X Chen, Q Shi, M Hong, X Fu, ND Sidiropoulos
IEEE Transactions on Signal Processing 66 (20), 5438-5453, 2018
Mandates: US National Science Foundation, US Department of Defense, National Natural …
Learning to optimize: Training deep neural networks for wireless resource management
H Sun, X Chen, Q Shi, M Hong, X Fu, ND Sidiropoulos
2017 IEEE 18th International Workshop on Signal Processing Advances in …, 2017
Mandates: US National Science Foundation, US Department of Defense, National Natural …
GNSD: A gradient-tracking based nonconvex stochastic algorithm for decentralized optimization
S Lu, X Zhang, H Sun, M Hong
2019 IEEE Data Science Workshop (DSW), 315-321, 2019
Mandates: US National Science Foundation, US Department of Defense
Distributed non-convex first-order optimization and information processing: Lower complexity bounds and rate optimal algorithms
H Sun, M Hong
IEEE Transactions on Signal processing 67 (22), 5912-5928, 2019
Mandates: US National Science Foundation, US Department of Defense
Improving the sample and communication complexity for decentralized non-convex optimization: Joint gradient estimation and tracking
H Sun, S Lu, M Hong
International conference on machine learning, 9217-9228, 2020
Mandates: US National Science Foundation, US Department of Defense
Distributed training with heterogeneous data: Bridging median-and mean-based algorithms
X Chen, T Chen, H Sun, SZ Wu, M Hong
Advances in Neural Information Processing Systems 33, 2020
Mandates: US Department of Defense
Learning to continuously optimize wireless resource in a dynamic environment: A bilevel optimization perspective
H Sun, W Pu, X Fu, TH Chang, M Hong
IEEE Transactions on Signal Processing 70, 1900-1917, 2022
Mandates: US National Science Foundation, National Natural Science Foundation of China
Inexact block coordinate descent methods for symmetric nonnegative matrix factorization
Q Shi, H Sun, S Lu, M Hong, M Razaviyayn
IEEE Transactions on Signal Processing 65 (22), 5995-6008, 2017
Mandates: US National Science Foundation, US Department of Defense
On the divergence of decentralized nonconvex optimization
M Hong, S Zeng, J Zhang, H Sun
SIAM Journal on Optimization 32 (4), 2879-2908, 2022
Mandates: US National Science Foundation, US Department of Defense
To supervise or not to supervise: How to effectively learn wireless interference management models?
B Song, H Sun, W Pu, S Liu, M Hong
2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021
Mandates: US National Science Foundation
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