Artikel dengan mandat akses publik - Xiangyi ChenPelajari lebih lanjut
Tidak tersedia di mana pun: 1
Joint transmit beamforming and antenna selection in MIMO systems
M Zhao, X Chen, Q Shi, W Xu
IEEE wireless communications letters 7 (5), 716-719, 2018
Mandat: National Natural Science Foundation of China
Tersedia di suatu tempat: 9
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
Mandat: US National Science Foundation, US Department of Defense, National Natural …
A deep learning method for online capacity estimation of lithium-ion batteries
S Shen, M Sadoughi, X Chen, M Hong, C Hu
Journal of Energy Storage 25, 100817, 2019
Mandat: US National Science Foundation, US Department of Transportation
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
X Chen, ZS Wu, M Hong
Advances in Neural Information Processing Systems 33, 2020
Mandat: US National Science Foundation
Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization
X Chen, S Liu, K Xu, X Li, X Lin, M Hong, D Cox
Advances in Neural Information Processing Systems 32, 2019
Mandat: US National Science Foundation, US Department of Defense
Understanding clipping for federated learning: Convergence and client-level differential privacy
X Zhang, X Chen, M Hong, ZS Wu, J Yi
International Conference on Machine Learning, ICML 2022, 2022
Mandat: US National Science Foundation, US Department of Defense
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks
S Liu, S Lu, X Chen, Y Feng, K Xu, A Al-Dujaili, M Hong, UM O’Reilly
International Conference on Machine Learning, 6282-6293, 2020
Mandat: 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, ZS Wu, M Hong
Advances in Neural Information Processing Systems 33, 2020
Mandat: US Department of Defense
signSGD via zeroth-order oracle
S Liu, PY Chen, X Chen, M Hong
International conference on learning representations, 2019
Mandat: US National Science Foundation, US Department of Defense
Distributed adversarial training to robustify deep neural networks at scale
G Zhang, S Lu, Y Zhang, X Chen, PY Chen, Q Fan, L Martie, L Horesh, ...
Uncertainty in artificial intelligence, 2353-2363, 2022
Mandat: US National Science Foundation
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