Jun Zhu

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Hang SuAssociated Professor, Tsinghua UniversityDirección de correo verificada de mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaDirección de correo verificada de ruc.edu.cn
Tianyu PangSenior Research Scientist, Sea AI LabDirección de correo verificada de sea.com
Jianfei ChenAssociate Professor, Tsinghua UniversityDirección de correo verificada de mail.tsinghua.edu.cn
fan baoShengShuDirección de correo verificada de shengshu.ai
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Ning ChenAssistant Researcher, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Ji-Rong WenRenmin University of ChinaDirección de correo verificada de ruc.edu.cn
Cheng LuOpenAIDirección de correo verificada de openai.com
Shixia LiuProfessor, Tsinghua University, IEEE FellowDirección de correo verificada de tsinghua.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Wei-Ying MaTsinghua UniversityDirección de correo verificada de air.tsinghua.edu.cn
Chang LiuMicrosoft Research AI for ScienceDirección de correo verificada de microsoft.com
Amr AhmedSenior Staff Research Scientist, Google AIDirección de correo verificada de google.com

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Jun Zhu

Professor of Computer Science, Tsinghua University

Dirección de correo verificada de mail.tsinghua.edu.cn - Página principal

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	3291	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	1327	2022
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	1281	2023
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	1107	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	1048	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	1037	2022
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	963	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	882	2018
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	824	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	805	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	771	2022
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	702	2019
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	629*	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	617	2016
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	586	2023
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	568	2009
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	564	2017
A comprehensive survey of continual learning: theory, method and application L Wang, X Zhang, H Su, J Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024	507	2024
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	496	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	475	2019

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