Zhangjie Cao

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Mingsheng LongAssociate Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Jianmin WangSchool of Software, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
Dorsa SadighStanford UniversityDirección de correo verificada de cs.stanford.edu
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Dirección de correo verificada de cs.stanford.edu
Kaichao YouPhD student at Tsinghua UniversityDirección de correo verificada de mails.tsinghua.edu.cn
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairDirección de correo verificada de cse.ust.hk
Zhongyi PeiAssistant Professor, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Yue CaoLightyear AIDirección de correo verificada de baai.ac.cn
Stefano ErmonStanford UniversityDirección de correo verificada de cs.stanford.edu
Kaidi CaoStanford UniversityDirección de correo verificada de cs.stanford.edu
Aditya GroverAssistant Professor of Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Karthik RamaniDonald W. Feddersen Distinguished Professor of Mechanical EngineeringDirección de correo verificada de purdue.edu
Qixing HuangAssociate Professor of Computer Science, UT AustinDirección de correo verificada de cs.utexas.edu

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Zhangjie Cao

Ph.D. of Computer Science, Stanford University

Dirección de correo verificada de stanford.edu - Página principal

machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018	2817	2018
Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	991	2018
Hashnet: Deep learning to hash by continuation Z Cao, M Long, J Wang, PS Yu Proceedings of the IEEE international conference on computer vision, 5608-5617, 2017	858	2017
Transferable representation learning with deep adaptation networks M Long, Y Cao, Z Cao, J Wang, MI Jordan IEEE transactions on pattern analysis and machine intelligence 41 (12), 3071 …, 2018	626	2018
Universal domain adaptation K You, M Long, Z Cao, J Wang, MI Jordan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	622	2019
Partial adversarial domain adaptation Z Cao, L Ma, M Long, J Wang Proceedings of the European conference on computer vision (ECCV), 135-150, 2018	564	2018
Partial transfer learning with selective adversarial networks Z Cao, M Long, J Wang, MI Jordan Proceedings of the IEEE conference on computer vision and pattern …, 2018	541	2018
Learning multiple tasks with multilinear relationship networks M Long, Z Cao, J Wang, PS Yu Advances in neural information processing systems 30, 2017	390	2017
Separate to adapt: Open set domain adaptation via progressive separation H Liu, Z Cao, M Long, J Wang, Q Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	368	2019
Learning to transfer examples for partial domain adaptation Z Cao, K You, M Long, J Wang, Q Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	352	2019
Few-shot video classification via temporal alignment K Cao, J Ji, Z Cao, CY Chang, JC Niebles Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	307	2020
Spatiotemporal relationship reasoning for pedestrian intent prediction B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020	203	2020
Learning to detect open classes for universal domain adaptation B Fu, Z Cao, M Long, J Wang Computer vision–ECCV 2020: 16th European conference, glasgow, UK, August 23 …, 2020	198	2020
Open domain generalization with domain-augmented meta-learning Y Shu, Z Cao, C Wang, J Wang, M Long Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	184	2021
Robust learning through cross-task consistency AR Zamir, A Sax, N Cheerla, R Suri, Z Cao, J Malik, LJ Guibas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	183	2020
Transferable curriculum for weakly-supervised domain adaptation Y Shu, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 4951-4958, 2019	125	2019
Adversarial cross-domain action recognition with co-attention B Pan, Z Cao, E Adeli, JC Niebles Proceedings of the AAAI conference on artificial intelligence 34 (07), 11815 …, 2020	123	2020
Transferable query selection for active domain adaptation B Fu, Z Cao, J Wang, M Long Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	89	2021
3D object classification via spherical projections Z Cao, Q Huang, R Karthik 2017 international conference on 3D Vision (3DV), 566-574, 2017	89	2017
Reinforcement learning based control of imitative policies for near-accident driving Z Cao, E Bıyık, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh arXiv preprint arXiv:2007.00178, 2020	78	2020

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