Zhijie Deng

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	Total	Desde 2020
Citas	1245	1198
Índice h	15	15
Índice i10	18	18

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityDirección de correo verificada de mail.tsinghua.edu.cn
Hang SuAssociated Professor, Tsinghua UniversityDirección de correo verificada de mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Hao ZhangUC San DiegoDirección de correo verificada de ucsd.edu
Tianyu PangSenior Research Scientist, Sea AI LabDirección de correo verificada de sea.com
Yucen LuoMax Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Feng ZhouRenmin University of ChinaDirección de correo verificada de ruc.edu.cn
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSDirección de correo verificada de mail2.sysu.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindDirección de correo verificada de google.com
cewu luProfessor of Shanghai Jiao Tong UniversityDirección de correo verificada de cs.stanford.edu
Shuicheng Yan, Fellow of AAAI, ACM,...National University of Singapore, Ex: Sea AI Lab, Skywork AI | Looking for labmatesDirección de correo verificada de nus.edu.sg

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Zhijie Deng

Otros nombres邓志杰

Assistant Professor, Shanghai Jiao Tong University

Dirección de correo verificada de sjtu.edu.cn - Página principal

machine learning deep learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation Z Deng, Y Luo, J Zhu IEEE International Conference on Computer Vision 2019, 2019	293	2019
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	139	2020
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	134	2021
Batch Virtual Adversarial Training for Graph Convolutional Networks Z Deng, Y Dong, J Zhu AI Open, 2023	96	2023
Exploring memorization in adversarial training Y Dong, K Xu, X Yang, T Pang, Z Deng, H Su, J Zhu ICLR 2022, 2022	85	2022
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	71	2021
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	70	2017
Online speculative decoding X Liu, L Hu, P Bailis, I Stoica, Z Deng, A Cheung, H Zhang ICML, 2024	55	2024
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	32	2018
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	28	2020
CLLMs: Consistency Large Language Models S Kou, L Hu, Z He, Z Deng, H Zhang ICML, 2024	22	2024
NeuralEF: Deconstructing Kernels by Deep Neural Networks Z Deng, J Shi, J Zhu International Conference on Machine Learning (ICML) 162, https://proceedings …, 2022	22	2022
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	20	2023
Efficient detection of LLM-generated texts with a Bayesian surrogate model Y Miao, H Gao, H Zhang, Z Deng ACL 2024 Findings, 2024	19	2024
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Z Deng, F Zhou, J Zhu Advances in Neural Information Processing Systems, 2022	19	2022
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction P Cui, D Zhang, Z Deng, Y Dong, J Zhu NeurIPS, 2023	15	2023
Neural eigenfunctions are structured representation learners Z Deng, J Shi, H Zhang, P Cui, C Lu, J Zhu arXiv preprint arXiv:2210.12637, 2022	12	2022
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning Z Deng, J Zhu 14th Asian Conference on Machine Learning (ACML 2022), 2022	12	2022
Efficient inference for dynamic flexible interactions of neural populations F Zhou, Q Kong, Z Deng, J Kan, Y Zhang, C Feng, J Zhu Journal of Machine Learning Research 23 (211), 1-49, 2022	9	2022
Confidence-based Reliable Learning under Dual Noises P Cui, Y Yue, Z Deng, J Zhu Advances in Neural Information Processing Systems, 2022	8	2022

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