Shanghang Zhang

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Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon UniversityVerified email at ece.cmu.edu
Guanhang WuGoogle Inc / CMU RoboticsVerified email at google.com
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Haoyi ZhouAssistant Professor, Beihang UniversityVerified email at buaa.edu.cn
Jianxin LiSchool of Computer Science & Engineering, Beihang UniversityVerified email at act.buaa.edu.cn
Geoff GordonProfessor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sicheng ZhaoColumbia UniversityVerified email at cumc.columbia.edu
Xiangyu YuePhD candidate in EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Xuezhe MaInformation Sciences Institute, University of Southern CaliforniaVerified email at usc.edu
Eduard HovyCarnegie Mellon UniversityVerified email at cmu.edu
Soummya KarElectrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Jian DuAnt Group, US (was CMU (was McGill (was HKU)))Verified email at andrew.cmu.edu
Zhe L. LinSenior Principal Scientist, Adobe ResearchVerified email at adobe.com
Radomir MechAdobe SystemsVerified email at adobe.com
Swarun KumarAssociate Professor, CMUVerified email at cmu.edu
Satwik KotturResearch Scientist, Facebook AIVerified email at fb.com

Shanghang Zhang

EECS, UC Berkeley

Verified email at eecs.berkeley.edu - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
COVID-CT-Dataset: a CT scan dataset about COVID-19 X Yang, X He, J Zhao, Y Zhang, S Zhang, P Xie arXiv preprint arXiv:2003.13865, 2020	533*	2020
Adversarial multiple source domain adaptation H Zhao, S Zhang, G Wu, JMF Moura, JP Costeira, GJ Gordon Advances in neural information processing systems 31, 8559-8570, 2018	301	2018
Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans X He, X Yang, S Zhang*, J Zhao, Y Zhang, E Xing, P Xie medRxiv, 2020	230	2020
Informer: Beyond efficient transformer for long sequence time-series forecasting H Zhou, S Zhang, J Peng, S Zhang, J Li, H Xiong, W Zhang Proceedings of AAAI, 2021	217	2021
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras S Zhang, G Wu, JP Costeira, JMF Moura International Conference on Computer Vision (ICCV), 2017	178	2017
Topology adaptive graph convolutional networks J Du, S Zhang, G Wu, JMF Moura, S Kar arXiv:1710.10370, 2017	129	2017
Understanding Traffic Density from Large-Scale Web Camera Data S Zhang, G Wu, JP Costeira, JMF Moura IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	121	2017
Multi-source Distilling Domain Adaptation S Zhao, G Wang, S Zhang*, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ... Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020	83	2020
Universal Self-Training for Unsupervised Domain Adaptation K Mei, C Zhu, J Zou, S Zhang European Conference on Computer Vision (ECCV), 2020	70*	2020
A Deep Learning Approach to IoT Authentication R Das, A Gadre, S Zhang, S Kumar, J Moura IEEE ICC 2018 Communication and Information Systems Security Symposium, 2018	64	2018
A review of single-source deep unsupervised visual domain adaptation S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ... IEEE Transactions on Neural Networks and Learning Systems, 2020	62	2020
Deep Reinforcement Learning H Dong, Z Ding, S Zhang Springer Singapore, 2020	57	2020
Dual adversarial semantics-consistent network for generalized zero-shot learning J Ni, S Zhang, H Xie Advances in Neural Information Processing Systems 32, 2019	52	2019
Multiple source domain adaptation with adversarial learning H Zhao, S Zhang, G Wu, GJ Gordon	45	2018
Traffic flow from a low frame rate city camera E Toropov, L Gui, S Zhang, S Kottur, JMF Moura 2015 IEEE International Conference on Image Processing (ICIP), 3802-3806, 2015	35	2015
Macow: Masked convolutional generative flow X Ma, X Kong, S Zhang, E Hovy arXiv preprint arXiv:1902.04208, 2019	34	2019
Multiple source domain adaptation with adversarial training of neural networks H Zhao, S Zhang, G Wu, JP Costeira, JMF Moura, GJ Gordon arXiv preprint arXiv:1705.09684, 2017	34	2017
Learning to understand image blur S Zhang, X Shen, Z Lin, R Měch, JP Costeira, JMF Moura Proceedings of the IEEE conference on computer vision and pattern …, 2018	29	2018
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation B Li#, Y Wang#, S Zhang#, D Li, T Darrell, K Keutzer, H Zhao CVPR 2021, 2021	21	2021
Generalized Zero-Shot Text Classification for ICD Coding C Song, S Zhang, N Sadoughi, P Xie, EP Xing IJCAI, 2020	21*	2020

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