Xiangyi Chen
Cited by
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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
On the convergence of a class of adam-type algorithms for non-convex optimization
X Chen, S Liu, R Sun, M Hong
International Conference on Learning Representations, 2018
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
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
X Chen, ZS Wu, M Hong
Advances in Neural Information Processing Systems 33, 2020
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
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
signSGD via zeroth-order oracle
S Liu, PY Chen, X Chen, M Hong
International Conference on Learning Representations, 2018
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
Toward communication efficient adaptive gradient method
X Chen, X Li, P Li
Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference …, 2020
Private stochastic non-convex optimization: Adaptive algorithms and tighter generalization bounds
Y Zhou, X Chen, M Hong, ZS Wu, A Banerjee
arXiv preprint arXiv:2006.13501, 2020
Alternating gradient descent ascent for nonconvex min-max problems in robust learning and GANs
S Lu, R Singh, X Chen, Y Chen, M Hong
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 680-684, 2019
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
On the Convergence of Decentralized Adaptive Gradient Methods
X Chen, B Karimi, W Zhao, P Li
arXiv preprint arXiv:2109.03194, 2021
Dynamic Differential-Privacy Preserving SGD
J Du, S Li, M Feng, S Chen
arXiv preprint arXiv:2111.00173, 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
X Zhang, X Chen, M Hong, ZS Wu, J Yi
arXiv preprint arXiv:2106.13673, 2021
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
G Zhang, S Lu, S Liu, X Chen, PY Chen, L Martie, L Horesh, M Hong
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