Hongyang Zhang

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Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR & CSIG; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Jiantao JiaoAssistant Professor of EECS and Statistics, University of California, BerkeleyVerified email at berkeley.edu
Yaodong YuUniversity of California, BerkeleyVerified email at berkeley.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Laurent El GhaouiUC Berkeley (EECS, IEOR)Verified email at berkeley.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Kamalika ChaudhuriProfessor of Computer Science, UCSD. Research Scientist, Meta AIVerified email at ucsd.edu
Lang HuangThe University of Tokyo; Alumnus@PKUVerified email at cvm.t.u-tokyo.ac.jp
Travis DickGoogleVerified email at google.com
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Thierry BOUWMANSLaboratoire MIA, La Rochelle UniversitéVerified email at univ-lr.fr
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Yichong XuSenior Researcher, Microsoft ResearchVerified email at microsoft.com
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Artur DubrawskiCarnegie Mellon UniversityVerified email at cs.cmu.edu
pranjal awasthiRutgers UniversityVerified email at rutgers.edu

Hongyang Zhang

Assistant Professor of Computer Science, University of Waterloo, Vector Institute

Verified email at uwaterloo.ca - Homepage

Machine Learning AI Security & Privacy Trustworthy ML


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International conference on machine learning, 7472-7482, 2019	1620	2019
On the applications of robust PCA in image and video processing T Bouwmans, S Javed, H Zhang, Z Lin, R Otazo Proceedings of the IEEE 106 (8), 1427-1457, 2018	224	2018
A closer look at accuracy vs. robustness YY Yang, C Rashtchian, H Zhang, R Salakhutdinov, K Chaudhuri	191	2020
Self-adaptive training: beyond empirical risk minimization L Huang, C Zhang, H Zhang Advances in neural information processing systems 33, 19365-19376, 2020	113	2020
Learning and 1-bit compressed sensing under asymmetric noise P Awasthi, MF Balcan, N Haghtalab, H Zhang Conference on Learning Theory, 152-192, 2016	85	2016
Robust latent low rank representation for subspace clustering H Zhang, Z Lin, C Zhang, J Gao Neurocomputing 145, 369-373, 2014	73	2014
Differentially private clustering in high-dimensional euclidean spaces MF Balcan, T Dick, Y Liang, W Mou, H Zhang International Conference on Machine Learning, 322-331, 2017	63	2017
Random smoothing might be unable to certify l_∞ robustness for high-dimensional images A Blum, T Dick, N Manoj, H Zhang The Journal of Machine Learning Research 21 (1), 8726-8746, 2020	59	2020
Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020	49	2020
Exact recoverability of robust PCA via outlier pursuit with tight recovery bounds H Zhang, Z Lin, C Zhang, E Chang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	43	2015
Deep neural networks with multi-branch architectures are intrinsically less non-convex H Zhang, J Shao, R Salakhutdinov The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	42*	2019
Noise-tolerant interactive learning using pairwise comparisons Y Xu, H Zhang, K Miller, A Singh, A Dubrawski Advances in neural information processing systems 30, 2017	42*	2017
Noise-tolerant life-long matrix completion via adaptive sampling MFF Balcan, H Zhang Advances in Neural Information Processing Systems 29, 2016	39	2016
A counterexample for the validity of using nuclear norm as a convex surrogate of rank H Zhang, Z Lin, C Zhang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	31	2013
Matrix completion and related problems via strong duality MF Balcan, Y Liang, DP Woodruff, H Zhang arXiv preprint arXiv:1704.08683, 2017	30*	2017
Relations among some low-rank subspace recovery models H Zhang, Z Lin, C Zhang, J Gao Neural computation 27 (9), 1915-1950, 2015	30	2015
Sample and computationally efficient learning algorithms under s-concave distributions MFF Balcan, H Zhang Advances in Neural Information Processing Systems 30, 2017	29*	2017
Low Rank Models for Visual Analysis: Theories, Algorithms and Applications Z Lin, H Zhang Academic Press, 2017	27	2017
Testing matrix rank, optimally MF Balcan, Y Li, DP Woodruff, H Zhang Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019	24	2019
Design and interpretation of universal adversarial patches in face detection X Yang, F Wei, H Zhang, J Zhu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	23	2020

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