Jun Zhu

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Hang SuAssociated Professor, Tsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaAdresse e-mail validée de ruc.edu.cn
Tianyu PangSenior Research Scientist, Sea AI LabAdresse e-mail validée de sea.com
Jianfei ChenAssociate Professor, Tsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
fan baoShengShuAdresse e-mail validée de shengshu.ai
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UAdresse e-mail validée de cs.cmu.edu
Ning ChenAssistant Researcher, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityAdresse e-mail validée de sjtu.edu.cn
Ji-Rong WenRenmin University of ChinaAdresse e-mail validée de ruc.edu.cn
Cheng LuOpenAIAdresse e-mail validée de openai.com
Shixia LiuProfessor, Tsinghua University, IEEE FellowAdresse e-mail validée de tsinghua.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindAdresse e-mail validée de google.com
Wei-Ying MaTsinghua UniversityAdresse e-mail validée de air.tsinghua.edu.cn
Chang LiuMicrosoft Research AI for ScienceAdresse e-mail validée de microsoft.com
Amr AhmedSenior Staff Research Scientist, Google AIAdresse e-mail validée de google.com

Suivre

Jun Zhu

Professor of Computer Science, Tsinghua University

Adresse e-mail validée de mail.tsinghua.edu.cn - Page d'accueil

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3121	2018
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	1096	2022
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 323875, 2018	1035	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	1003	2018
Grounding dino: Marrying dino with grounded pre-training for open-set object detection S Liu, Z Zeng, T Ren, F Li, H Zhang, J Yang, C Li, J Yang, H Su, J Zhu, ... arXiv preprint arXiv:2303.05499, 2023	957	2023
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	909	2019
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	852	2018
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	832	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	737	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	737	2019
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	660	2019
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	654	2022
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	610*	2018
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	597	2016
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	560	2009
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	555	2017
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu NeurIPS (arXiv preprint arXiv:2305.16213), 2023	487	2023
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	474	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	456	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	445	2017

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