Hongyang Zhang

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Zhouchen LinProfessor, Peking University; Fellow of IEEE & IAPR; ex-VP of Samsung ResearchVerified email at pku.edu.cn
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
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
David WoodruffCarnegie Mellon UniversityVerified email at cs.cmu.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
Yingyu LiangUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Aarti SinghAssociate Professor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Yichong XuSenior Researcher, Microsoft AI Cognitive ServicesVerified email at microsoft.com
Travis DickUniversity of PennsylvaniaVerified email at seas.upenn.edu
Thierry BOUWMANSLaboratoire MIA, La Rochelle UniversitéVerified email at univ-lr.fr
Susu XuState University of New York at Stony BrookVerified email at stanford.edu
Artur DubrawskiCarnegie Mellon UniversityVerified email at cs.cmu.edu
pranjal awasthiRutgers UniversityVerified email at rutgers.edu
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu
Kamalika ChaudhuriAssociate Professor of Computer Science, University of California, San DiegoVerified email at eng.ucsd.edu

Hongyang Zhang

CMU, TTIC

Verified email at ttic.edu - Homepage

Machine Learning Deep Learning Robustness AI Security


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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	494	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	107	2018
Robust latent low rank representation for subspace clustering H Zhang, Z Lin, C Zhang, J Gao Neurocomputing 145, 369-373, 2014	64	2014
Learning and 1-bit compressed sensing under asymmetric noise P Awasthi, MF Balcan, N Haghtalab, H Zhang Conference on Learning Theory, 152-192, 2016	63	2016
Adversarial vision challenge W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ... The NeurIPS'18 Competition, 129-153, 2020	38	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	35	2015
Noise-tolerant interactive learning using pairwise comparisons Y Xu, H Zhang, K Miller, A Singh, A Dubrawski Proceedings of the 31st International Conference on Neural Information …, 2017	33*	2017
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	33	2017
Relations among some low-rank subspace recovery models H Zhang, Z Lin, C Zhang, J Gao Neural computation 27 (9), 1915-1950, 2015	29	2015
A counterexample for the validity of using nuclear norm as a convex surrogate of rank H Zhang, Z Lin, C Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	29	2013
Noise-tolerant life-long matrix completion via adaptive sampling MF Balcan, H Zhang arXiv preprint arXiv:1612.00100, 2016	28	2016
Adversarial robustness through local lipschitzness YY Yang, C Rashtchian, H Zhang, R Salakhutdinov, K Chaudhuri arXiv preprint arXiv:2003.02460, 2020	26*	2020
Matrix completion and related problems via strong duality MF Balcan, Y Liang, DP Woodruff, H Zhang arXiv preprint arXiv:1704.08683, 2017	25*	2017
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	23*	2019
Completing low-rank matrices with corrupted samples from few coefficients in general basis H Zhang, Z Lin, C Zhang IEEE Transactions on Information Theory 62 (8), 4748-4768, 2016	19	2016
Low Rank Models for Visual Analysis: Theories, Algorithms and Applications Z Lin, H Zhang Academic Press, 2017	18	2017
Random smoothing might be unable to certify l∞ robustness for high-dimensional images A Blum, T Dick, N Manoj, H Zhang Journal of Machine Learning Research 21, 1-21, 2020	16	2020
Sample and computationally efficient learning algorithms under s-concave distributions MF Balcan, H Zhang arXiv preprint arXiv:1703.07758, 2017	16*	2017
Testing matrix rank, optimally MF Balcan, Y Li, DP Woodruff, H Zhang Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019	11	2019
Self-Adaptive Training: beyond Empirical Risk Minimization L Huang, C Zhang, H Zhang Advances in Neural Information Processing Systems 33, 2020	10	2020

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