Jun Zhu

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2018
Позовавания	24516	21144
h-индекс	73	62
i10-индекс	251	228

7000

3500

1750

5250

20092010201120122013201420152016201720182019202020212022202399 148 171 282 291 453 481 545 664 1158 1752 2619 3711 4831 6990

Публичен достъп

Преглед на всички

177 статии

17 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Hang SuAssociated Professor, Tsinghua UniversityПотвърден имейл адрес: mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityПотвърден имейл адрес: mails.tsinghua.edu.cn
Tianyu PangResearch Scientist, Sea AI LabПотвърден имейл адрес: sea.com
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaПотвърден имейл адрес: ruc.edu.cn
Jianfei ChenAssociate Professor, Tsinghua UniversityПотвърден имейл адрес: mail.tsinghua.edu.cn
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UПотвърден имейл адрес: cs.cmu.edu
Ning ChenAssistant Researcher, Tsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityПотвърден имейл адрес: tsinghua.edu.cn
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityПотвърден имейл адрес: sjtu.edu.cn
Ji-Rong WenRenmin University of ChinaПотвърден имейл адрес: ruc.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowПотвърден имейл адрес: tsinghua.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindПотвърден имейл адрес: google.com
Wei-Ying MaTsinghua UniversityПотвърден имейл адрес: air.tsinghua.edu.cn
Chang LiuMicrosoft Research AI4ScienceПотвърден имейл адрес: microsoft.com
Amr AhmedSenior Staff Research Scientist, Google AIПотвърден имейл адрес: google.com

Следене

Jun Zhu

Professor of Computer Science, Tsinghua University

Потвърден имейл адрес: mail.tsinghua.edu.cn - Начална страница

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li CVPR (arXiv preprint arXiv:1710.06081, 2017), 2018	2441	2018
Defense against adversarial attacks using high-level representation guided denoiser F Liao, M Liang, Y Dong, T Pang, J Zhu, X Hu CVPR (arXiv preprint arXiv:1712.02976), 2018	847	2018
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 331, 2018	754	2018
Adversarial Attack on Graph Structured Data H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song ICML (arXiv preprint arXiv:1806.02371), 2018	694	2018
Evading defenses to transferable adversarial examples by translation-invariant attacks Y Dong, T Pang, H Su, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	667	2019
MedLDA: maximum margin supervised topic models for regression and classification J Zhu, A Ahmed, EP Xing Proceedings of the 26th annual international conference on machine learning …, 2009	544	2009
Towards Better Analysis of Deep Convolutional Neural Networks M Liu, J Shi, Z Li, C Li, J Zhu, S Liu IEEE Transactions on Visualization & Computer Graphics, 2016	536	2016
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	515*	2018
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	504	2017
Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI conference on artificial intelligence 33 (01), 1311-1318, 2019	492	2019
Dino: Detr with improved denoising anchor boxes for end-to-end object detection H Zhang, F Li, S Liu, L Zhang, H Su, J Zhu, LM Ni, HY Shum arXiv preprint arXiv:2203.03605, 2022	432	2022
Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021	417	2021
Explainable AI: A brief survey on history, research areas, approaches and challenges F Xu, H Uszkoreit, Y Du, W Fan, D Zhao, J Zhu Natural Language Processing and Chinese Computing: 8th CCF International …, 2019	414	2019
Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics 1 (1), 48-56, 2017	395	2017
Statsnowball: a statistical approach to extracting entity relationships J Zhu, Z Nie, X Liu, B Zhang, JR Wen Proceedings of the 18th international conference on World wide web, 101-110, 2009	394	2009
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	391	2019
Efficient decision-based black-box adversarial attacks on face recognition Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	369	2019
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu NeurIPS (arXiv preprint arXiv:2206.00927), 2022	318	2022
Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018	315	2018
Dab-detr: Dynamic anchor boxes are better queries for detr S Liu, F Li, H Zhang, X Yang, X Qi, H Su, J Zhu, L Zhang arXiv preprint arXiv:2201.12329, 2022	304	2022

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