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 ℓ 0 minimization in wavelet frame based image restoration
B Dong, Y Zhang
Journal of Scientific Computing 54 (2), 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
Penalty decomposition methods for rank minimization
Y Zhang, Z Lu
Advances in neural information processing systems 24, 2011
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
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
An alternating direction method for finding Dantzig selectors
Z Lu, TK Pong, Y Zhang
Computational Statistics & Data Analysis 56 (12), 4037-4046, 2012
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
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, 1-39, 2022
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
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
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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