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Zhijie Deng
Zhijie Deng
Andre navn邓 志杰
Assistant Professor, Shanghai Jiao Tong University
Verifisert e-postadresse på sjtu.edu.cn - Startside
Tittel
Sitert av
Sitert av
År
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Z Deng, Y Luo, J Zhu
IEEE International Conference on Computer Vision 2019, 2019
2902019
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
1402020
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
ICCV 2021, 2021
1322021
Batch Virtual Adversarial Training for Graph Convolutional Networks
Z Deng, Y Dong, J Zhu
AI Open, 2023
922023
Exploring memorization in adversarial training
Y Dong, K Xu, X Yang, T Pang, Z Deng, H Su, J Zhu
ICLR 2022, 2022
892022
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
742021
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
692017
Online speculative decoding
X Liu, L Hu, P Bailis, I Stoica, Z Deng, A Cheung, H Zhang
ICML, 2024
562024
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
302018
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, 906-917, 2020
282020
CLLMs: Consistency Large Language Models
S Kou, L Hu, Z He, Z Deng, H Zhang
ICML, 2024
232024
NeuralEF: Deconstructing Kernels by Deep Neural Networks
Z Deng, J Shi, J Zhu
International Conference on Machine Learning (ICML) 162, https://proceedings …, 2022
232022
Efficient detection of LLM-generated texts with a Bayesian surrogate model
Y Miao, H Gao, H Zhang, Z Deng
ACL 2024 Findings, 2024
212024
Evaluating the robustness of text-to-image diffusion models against real-world attacks
H Gao, H Zhang, Y Dong, Z Deng
arXiv preprint arXiv:2306.13103, 2023
212023
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
Z Deng, F Zhou, J Zhu
Advances in Neural Information Processing Systems, 2022
212022
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
P Cui, D Zhang, Z Deng, Y Dong, J Zhu
NeurIPS, 2023
162023
Neural eigenfunctions are structured representation learners
Z Deng, J Shi, H Zhang, P Cui, C Lu, J Zhu
arXiv preprint arXiv:2210.12637, 2022
122022
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning
Z Deng, J Zhu
14th Asian Conference on Machine Learning (ACML 2022), 2022
122022
Improved Operator Learning by Orthogonal Attention
Z Xiao, Z Hao, B Lin, Z Deng, H Su
ICML, 2024
102024
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Z Deng, Y Luo
International Conference on Computer Vision (ICCV), 2023
92023
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Artikler 1–20