Zhangjie Cao

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Mingsheng LongAssociate Professor, Tsinghua UniversityCorreu electrònic verificat a tsinghua.edu.cn
Jianmin WangSchool of Software, Tsinghua UniversityCorreu electrònic verificat a tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyCorreu electrònic verificat a cs.berkeley.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoCorreu electrònic verificat a cs.uic.edu
Dorsa SadighStanford UniversityCorreu electrònic verificat a cs.stanford.edu
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Correu electrònic verificat a cs.stanford.edu
Kaichao YouPhD student at Tsinghua UniversityCorreu electrònic verificat a mails.tsinghua.edu.cn
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairCorreu electrònic verificat a cse.ust.hk
Zhongyi PeiAssistant Researcher, Tsinghua UniversityCorreu electrònic verificat a tsinghua.edu.cn
Yue CaoLightyear AICorreu electrònic verificat a baai.ac.cn
Stefano ErmonStanford UniversityCorreu electrònic verificat a cs.stanford.edu
Kaidi CaoStanford UniversityCorreu electrònic verificat a cs.stanford.edu
Aditya GroverAssistant Professor of Computer Science, UCLACorreu electrònic verificat a cs.ucla.edu
Karthik RamaniDonald W. Feddersen Distinguished Professor of Mechanical EngineeringCorreu electrònic verificat a purdue.edu
Qixing HuangAssociate Professor of Computer Science, UT AustinCorreu electrònic verificat a cs.utexas.edu

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Zhangjie Cao

Ph.D. of Computer Science, Stanford University

Correu electrònic verificat a stanford.edu - Pàgina d'inici

machine learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018	2770	2018
Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	978	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	844	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	616	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	607	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	562	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	533	2018
Learning multiple tasks with multilinear relationship networks M Long, Z Cao, J Wang, PS Yu Advances in neural information processing systems 30, 2017	383	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	362	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	351	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	301	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	197	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	195	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	180	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	180	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	123	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	120	2020
3D object classification via spherical projections Z Cao, Q Huang, R Karthik 2017 international conference on 3D Vision (3DV), 566-574, 2017	89	2017
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	85	2021
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	77	2020

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