Zhanxing Zhu
Zhanxing Zhu
Assistant Professor, Peking University
Verified email at pku.edu.cn - Homepage
Cited by
Cited by
Spatio-temporal graph convolutional neural network: A deep learning framework for traffic forecasting
B Yu, H Yin, Z Zhu
International Joint Conference of Artificial Intelligence (IJCAI 2018), 2018
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
L Wu, Z Zhu
The 34th International Conference on Machine Learning (ICML 2017†…, 2017
You only propagate once: Accelerating adversarial training via maximal principle
D Zhang, T Zhang, Y Lu, Z Zhu, B Dong
Advances in Neural Information Processing Systems, 2019, 2019
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
Z Zhu, J Wu, B Yu, L Wu, J Ma
International Conference on Machine Learning (ICML 2019), 7654-7663, 2019
Reinforced continual learning
J Xu, Z Zhu
Advances in Neural Information Processing Systems (NeurIPS 2018), 899-908, 2018
Yet another text captcha solver: A generative adversarial network based approach
G Ye, Z Tang, D Fang, Z Zhu, Y Feng, P Xu, X Chen, Z Wang
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications†…, 2018
Learning with noise: Enhance distantly supervised relation extraction with dynamic transition matrix
B Luo, Y Feng, Z Wang, Z Zhu, S Huang, R Yan, D Zhao
ACL 2017, 2017
Covariance-controlled adaptive Langevin thermostat for large-scale Bayesian sampling
X Shang, Z Zhu, B Leimkuhler, AJ Storkey
Advances in Neural Information Processing Systems, 37-45, 2015
Novel subgroups of patients with adult-onset diabetes in Chinese and US populations
X Zou, X Zhou, Z Zhu, L Ji
The Lancet Diabetes & Endocrinology 7 (1), 9-11, 2019
Interpreting Adversarially Trained Convolutional Neural Networks
T Zhang, Z Zhu
International Conference on Machine Learning (ICML 2019), 2019
Understanding and enhancing the transferability of adversarial examples
L Wu, Z Zhu, C Tai
arXiv preprint arXiv:1802.09707, 2018
Efficient Neural Architecture Search via Proximal Iterations.
Q Yao, J Xu, WW Tu, Z Zhu
AAAI, 6664-6671, 2020
Adaptive stochastic primal-dual coordinate descent for separable saddle point problems
Z Zhu, AJ Storkey
Joint European Conference on Machine Learning and Knowledge Discovery in†…, 2015
A deep learning-based framework for conducting stealthy attacks in industrial control systems
C Feng, T Li, Z Zhu, D Chana
arXiv preprint arXiv:1709.06397, 2017
Automatic rank determination in projective nonnegative matrix factorization
Z Yang, Z Zhu, E Oja
International Conference on Latent Variable Analysis and Signal Separation†…, 2010
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
B Yu, J Wu, Z Zhu
CVPR 2019, 2018
3d graph convolutional networks with temporal graphs: A spatial information free framework for traffic forecasting
B Yu, M Li, J Zhang, Z Zhu
arXiv preprint arXiv:1903.00919, 2019
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
N Ye, Z Zhu, RK Mantiuk
31st Neural Information Processing Systems (NIPS 2017), 2017
Supervised distance preserving projections
Z Zhu, T Similš, F Corona
Neural processing letters 38 (3), 445-463, 2013
ST-UNet: A spatio-temporal U-network for graph-structured time series modeling
B Yu, H Yin, Z Zhu
arXiv preprint arXiv:1903.05631, 2019
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