Xuanqing Liu
Title
Cited by
Cited by
Year
Towards robust neural networks via random self-ensemble
X Liu, M Cheng, H Zhang, CJ Hsieh
Proceedings of the European Conference on Computer Vision (ECCV), 369-385, 2018
1802018
Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks
WL Chiang, X Liu, S Si, Y Li, S Bengio, CJ Hsieh
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1552019
Adv-bnn: Improved adversarial defense through robust bayesian neural network
X Liu, Y Li, C Wu, CJ Hsieh
arXiv preprint arXiv:1810.01279, 2018
532018
Rob-gan: Generator, discriminator, and adversarial attacker
X Liu, CJ Hsieh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
332019
Neural sde: Stabilizing neural ode networks with stochastic noise
X Liu, S Si, Q Cao, S Kumar, CJ Hsieh
arXiv preprint arXiv:1906.02355, 2019
212019
A unified framework for data poisoning attack to graph-based semi-supervised learning
X Liu, S Si, X Zhu, Y Li, CJ Hsieh
arXiv preprint arXiv:1910.14147, 2019
132019
Si Si, Qin Cao, Sanjiv Kumar, and Cho-Jui Hsieh. Neural sde: Stabilizing neural ode networks with stochastic noise
X Liu, T Xiao
arXiv preprint arXiv:1906.02355, 2019
122019
An inexact subsampled proximal Newton-type method for large-scale machine learning
X Liu, CJ Hsieh, JD Lee, Y Sun
arXiv preprint arXiv:1708.08552, 2017
112017
Evaluating the robustness of nearest neighbor classifiers: A primal-dual perspective
L Wang, X Liu, J Yi, ZH Zhou, CJ Hsieh
arXiv preprint arXiv:1906.03972, 2019
102019
Stochastic second-order methods for non-convex optimization with inexact Hessian and gradient
L Liu, X Liu, CJ Hsieh, D Tao
arXiv preprint arXiv:1809.09853, 2018
92018
Learning to encode position for transformer with continuous dynamical model
X Liu, HF Yu, I Dhillon, CJ Hsieh
International Conference on Machine Learning, 6327-6335, 2020
72020
Graphdefense: Towards robust graph convolutional networks
X Wang, X Liu, CJ Hsieh
arXiv preprint arXiv:1911.04429, 2019
72019
Gradient boosting neural networks: Grownet
S Badirli, X Liu, Z Xing, A Bhowmik, K Doan, SS Keerthi
arXiv preprint arXiv:2002.07971, 2020
62020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework
X Liu, S Si, Q Cao, S Kumar, CJ Hsieh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42020
From adversarial training to generative adversarial networks
X Liu, CJ Hsieh
42018
Fast variance reduction method with stochastic batch size
X Liu, CJ Hsieh
International Conference on Machine Learning, 3179-3188, 2018
42018
Evaluations and Methods for Explanation through Robustness Analysis
CY Hsieh, CK Yeh, X Liu, P Ravikumar, S Kim, S Kumar, CJ Hsieh
arXiv preprint arXiv:2006.00442, 2020
32020
Improving the Speed and Quality of GAN by Adversarial Training
J Zhong, X Liu, CJ Hsieh
arXiv preprint arXiv:2008.03364, 2020
22020
Provably robust metric learning
L Wang, X Liu, J Yi, Y Jiang, CJ Hsieh
arXiv preprint arXiv:2006.07024, 2020
12020
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
2020
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