Zhangjie Cao

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

Ikuti

Zhangjie Cao

Ph.D. of Computer Science, Stanford University

Email yang diverifikasi di stanford.edu - Beranda

machine learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Conditional adversarial domain adaptation M Long, Z Cao, J Wang, MI Jordan Advances in neural information processing systems 31, 2018	2804	2018
Multi-adversarial domain adaptation Z Pei, Z Cao, M Long, J Wang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	990	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	853	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	622	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	617	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	540	2018
Learning multiple tasks with multilinear relationship networks M Long, Z Cao, J Wang, PS Yu Advances in neural information processing systems 30, 2017	386	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	366	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	202	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	197	2020
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	182	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	181	2021
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	124	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	122	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	88	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	78	2020

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