Hongyang Zhang
Hongyang Zhang
Assistant Professor of Computer Science, University of Waterloo, Vector Institute
Verified email at uwaterloo.ca - Homepage
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
6682019
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
1322018
Learning and 1-bit compressed sensing under asymmetric noise
P Awasthi, MF Balcan, N Haghtalab, H Zhang
Conference on Learning Theory, 152-192, 2016
712016
Robust latent low rank representation for subspace clustering
H Zhang, Z Lin, C Zhang, J Gao
Neurocomputing 145, 369-373, 2014
662014
Adversarial robustness through local lipschitzness
YY Yang, C Rashtchian, H Zhang, R Salakhutdinov, K Chaudhuri
45*2020
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
442017
Adversarial vision challenge
W Brendel, J Rauber, A Kurakin, N Papernot, B Veliqi, SP Mohanty, ...
The NeurIPS'18 Competition, 129-153, 2020
382020
Exact recoverability of robust PCA via outlier pursuit with tight recovery bounds
H Zhang, Z Lin, C Zhang, EY Chang
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
362015
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
35*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
30*2019
Noise-tolerant life-long matrix completion via adaptive sampling
MFF Balcan, H Zhang
Advances in Neural Information Processing Systems 29, 2955-2963, 2016
292016
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
292013
Relations among some low-rank subspace recovery models
H Zhang, Z Lin, C Zhang, J Gao
Neural computation 27 (9), 1915-1950, 2015
282015
Matrix completion and related problems via strong duality
MF Balcan, Y Liang, DP Woodruff, H Zhang
arXiv preprint arXiv:1704.08683, 2017
27*2017
Self-adaptive training: beyond empirical risk minimization
L Huang, C Zhang, H Zhang
Advances in Neural Information Processing Systems 33, 2020
222020
Random Smoothing Might be Unable to Certify L∞ Robustness for High-Dimensional Images.
A Blum, T Dick, N Manoj, H Zhang
J. Mach. Learn. Res. 21, 211:1-211:21, 2020
222020
Low Rank Models for Visual Analysis: Theories, Algorithms and Applications
Z Lin, H Zhang
Academic Press, 2017
202017
Sample and computationally efficient learning algorithms under s-concave distributions
MF Balcan, H Zhang
arXiv preprint arXiv:1703.07758, 2017
20*2017
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
182016
Efficient symmetric norm regression via linear sketching
Z Song, R Wang, LF Yang, H Zhang, P Zhong
arXiv preprint arXiv:1910.01788, 2019
152019
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