Yuanhao Xiong
Cited by
Cited by
Adaptive gradient methods with dynamic bound of learning rate
L Luo*, Y Xiong*, Y Liu, X Sun
arXiv preprint arXiv:1902.09843, 2019
Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control
HW Chacha Chen, N Xu, G Zheng, M Yang, Y Xiong, K Xu, Z Li
Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence …, 2020
Learning phase competition for traffic signal control
G Zheng, Y Xiong, X Zang, J Feng, H Wei, H Zhang, Y Li, K Xu, Z Li
Proceedings of the 28th ACM international conference on information and …, 2019
Deep neural networks for linear sum assignment problems
M Lee, Y Xiong, G Yu, GY Li
IEEE Wireless Communications Letters 7 (6), 962-965, 2018
Learning traffic signal control from demonstrations
Y Xiong, G Zheng, K Xu, Z Li
Proceedings of the 28th ACM International Conference on Information and …, 2019
Feddm: Iterative distribution matching for communication-efficient federated learning
Y Xiong, R Wang, M Cheng, F Yu, CJ Hsieh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Improved adversarial training via learned optimizer
Y Xiong, CJ Hsieh
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Extreme zero-shot learning for extreme text classification
Y Xiong, WC Chang, CJ Hsieh, HF Yu, I Dhillon
arXiv preprint arXiv:2112.08652, 2021
Learning to learn by zeroth-order oracle
Y Ruan, Y Xiong, S Reddi, S Kumar, CJ Hsieh
arXiv preprint arXiv:1910.09464, 2019
Training meta-surrogate model for transferable adversarial attack
Y Qin, Y Xiong, J Yi, CJ Hsieh
Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9516-9524, 2023
Learning to schedule learning rate with graph neural networks
Y Xiong, LC Lan, X Chen, R Wang, CJ Hsieh
International Conference on Learning Representation (ICLR), 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks
R Wang, Y Xiong, M Cheng, CJ Hsieh
Advances in Neural Information Processing Systems 35, 30554-30568, 2022
Adversarial Attack across Datasets
Y Qin, Y Xiong, J Yi, L Cao, CJ Hsieh
arXiv preprint arXiv:2110.07718, 2021
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Y Xiong, X Liu, LC Lan, Y You, S Si, CJ Hsieh
arXiv preprint arXiv:2010.09889, 2020
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding
Y Xiong, L Zhao, B Gong, MH Yang, F Schroff, T Liu, CJ Hsieh, L Yuan
arXiv preprint arXiv:2303.16341, 2023
Learning to Learn with Smooth Regularization
Y Xiong, CJ Hsieh
European Conference on Computer Vision, 550-565, 2022
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