Zhijie Deng
Zhijie Deng
Ph.D candidate, Tsinghua University
Verified email at mails.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Z Deng, Y Luo, J Zhu
IEEE International Conference on Computer Vision 2019, 2019
552019
Structured generative adversarial networks
Z Deng, H Zhang, X Liang, L Yang, S Xu, J Zhu, EP Xing
Advances in Neural Information Processing Systems, 2017
432017
Batch Virtual Adversarial Training for Graph Convolutional Networks
Z Deng, Y Dong, J Zhu
ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data, 2019
252019
Cavs: An efficient runtime system for dynamic neural networks
S Xu, H Zhang, G Neubig, W Dai, JK Kim, Z Deng, Q Ho, G Yang, EP Xing
2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 937-950, 2018
82018
Adversarial distributional training for robust deep learning
Y Dong, Z Deng, T Pang, H Su, J Zhu
Advances in Neural Information Processing Systems 33, 2020
52020
Measuring uncertainty through bayesian learning of deep neural network structure
Z Deng, Y Luo, J Zhu
2nd Workshop on Neural Architecture Search at ICLR 2021, 2021
2*2021
Accurate and Reliable Forecasting using Stochastic Differential Equations
P Cui, Z Deng, W Hu, J Zhu
arXiv preprint arXiv:2103.15041, 2021
2021
Black-box Detection of Backdoor Attacks with Limited Information and Data
Y Dong, X Yang, Z Deng, T Pang, Z Xiao, H Su, J Zhu
arXiv preprint arXiv:2103.13127, 2021
2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection
Z Deng, X Yang, S Xu, H Su, J Zhu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2021
2021
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning
Z Deng, H Zhang, X Yang, Y Dong, J Zhu
arXiv preprint arXiv:2010.01979, 2020
2020
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
H Zhang, Y Li, Z Deng, X Liang, L Carin, E Xing
Advances in Neural Information Processing Systems 33, 2020
2020
Understanding and Exploring the Network with Stochastic Architectures
Z Deng, Y Dong, S Zhang, J Zhu
Advances in Neural Information Processing Systems 33, 2020
2020
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Articles 1–12