Yong Zhang
Yong Zhang
Distinguished Researcher at Huawei Technologies, Canada
Verified email at - Homepage
Cited by
Cited by
Personalized cross-silo federated learning on non-iid data
Y Huang, L Chu, Z Zhou, L Wang, J Liu, J Pei, Y Zhang
Proceedings of the AAAI conference on artificial intelligence 35 (9), 7865-7873, 2021
Sparse approximation via penalty decomposition methods
Z Lu, Y Zhang
SIAM Journal on Optimization 23 (4), 2448-2478, 2013
An augmented Lagrangian approach for sparse principal component analysis
Z Lu, Y Zhang
Mathematical programming 135 (1-2), 149-193, 2012
An Efficient Algorithm for 0 Minimization in Wavelet Frame Based Image Restoration
B Dong, Y Zhang
Journal of Scientific Computing 54, 350-368, 2013
ℓ₀ Minimization for wavelet frame based image restoration
Y Zhang, B Dong, Z Lu
Mathematics of Computation 82 (282), 995-1015, 2013
Robust counterfactual explanations on graph neural networks
M Bajaj, L Chu, ZY Xue, J Pei, L Wang, PCH Lam, Y Zhang
Advances in Neural Information Processing Systems 34, 5644-5655, 2021
Penalty decomposition methods for rank minimization
Y Zhang, Z Lu
Advances in neural information processing systems 24, 2011
Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study
KM Pohl, EV Sullivan, T Rohlfing, W Chu, D Kwon, BN Nichols, Y Zhang, ...
Neuroimage 130, 194-213, 2016
Auto-split: A general framework of collaborative edge-cloud AI
A Banitalebi-Dehkordi, N Vedula, J Pei, F Xia, L Wang, Y Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Improving fairness for data valuation in horizontal federated learning
Z Fan, H Fang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2440-2453, 2022
Simrod: A simple adaptation method for robust object detection
R Ramamonjison, A Banitalebi-Dehkordi, X Kang, X Bai, Y Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Fedfair: Training fair models in cross-silo federated learning
L Chu, L Wang, Y Dong, J Pei, Z Zhou, Y Zhang
arXiv preprint arXiv:2109.05662, 2021
Data pricing in machine learning pipelines
Z Cong, X Luo, J Pei, F Zhu, Y Zhang
Knowledge and Information Systems 64 (6), 1417-1455, 2022
Logistic regression confined by cardinality-constrained sample and feature selection
E Adeli, X Li, D Kwon, Y Zhang, KM Pohl
IEEE transactions on pattern analysis and machine intelligence 42 (7), 1713-1728, 2019
An alternating direction method for finding Dantzig selectors
Z Lu, TK Pong, Y Zhang
Computational Statistics & Data Analysis 56 (12), 4037-4046, 2012
Towards fair federated learning
Z Zhou, L Chu, C Liu, L Wang, J Pei, Y Zhang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Extracting patterns of morphometry distinguishing HIV associated neurodegeneration from mild cognitive impairment via group cardinality constrained classification
Y Zhang, D Kwon, P Esmaeili‐Firidouni, A Pfefferbaum, EV Sullivan, ...
Human brain mapping 37 (12), 4523-4538, 2016
Multi-Tissue Decomposition of Diffusion MRI Signals via Sparse-Group Estimation
PT Yap, Y Zhang, D Shen
IEEE Transactions on Image Processing 25 (9), 4340-4353, 2016
Denoising of diffusion MRI data via graph framelet matching in xq space
G Chen, B Dong, Y Zhang, W Lin, D Shen, PT Yap
IEEE Transactions on Medical Imaging 38 (12), 2838-2848, 2019
Fair and efficient contribution valuation for vertical federated learning
Z Fan, H Fang, Z Zhou, J Pei, MP Friedlander, Y Zhang
arXiv preprint arXiv:2201.02658, 2022
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