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Shuai Zhang
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Year
Correction of corrupted columns through fast robust Hankel matrix completion
S Zhang, M Wang
IEEE Transactions on Signal Processing 67 (10), 2580-2594, 2019
352019
Multichannel Hankel matrix completion through nonconvex optimization
S Zhang, Y Hao, M Wang, JH Chow
IEEE Journal of Selected Topics in Signal Processing 12 (4), 617-632, 2018
352018
Fast learning of graph neural networks with guaranteed generalizability: one-hidden-layer case
S Zhang, M Wang, S Liu, PY Chen, J Xiong
ICML, 11268-11277, 2020
292020
Why lottery ticket wins? a theoretical perspective of sample complexity on sparse neural networks
S Zhang, M Wang, S Liu, PY Chen, J Xiong
NeurIPS 34, 2707-2720, 2021
282021
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
S Zhang, M Wang, S Liu, PY Chen, J Xiong
ICLR, 2022, 2022
22*2022
Multi-channel missing data recovery by exploiting the low-rank hankel structures
S Zhang, Y Hao, M Wang, JH Chow
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
162017
Improved linear convergence of training cnns with generalizability guarantees: A one-hidden-layer case
S Zhang, M Wang, J Xiong, S Liu, PY Chen
IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2622-2635, 2020
142020
Correction of simultaneous bad measurements by exploiting the low-rank hankel structure
S Zhang, M Wang
2018 IEEE International Symposium on Information Theory (ISIT), 646-650, 2018
122018
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
S Zhang, M Wang, PY Chen, S Liu, S Lu, M Liu
ICLR, 2023, 2023
102023
Review of low-rank data-driven methods applied to synchrophasor measurement
M Wang, JH Chow, D Osipov, S Konstantinopoulos, S Zhang, ...
IEEE Open Access Journal of Power and Energy 8, 532-542, 2021
82021
Guaranteed convergence of training convolutional neural networks via accelerated gradient descent
S Zhang, M Wang, S Liu, PY Chen, J Xiong
2020 54th annual conference on information sciences and systems (CISS), 1-6, 2020
62020
Learning and generalization of one-hidden-layer neural networks, going beyond standard gaussian data
H Li, S Zhang, M Wang
2022 56th Annual Conference on Information Sciences and Systems (CISS), 37-42, 2022
52022
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
MNR Chowdhury, S Zhang, M Wang, S Liu, PY Chen
ICML, 2023, 2023
42023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with -Greedy Exploration
S Zhang, H Li, M Wang, M Liu, PY Chen, S Lu, S Liu, K Murugesan, ...
NeurIPS, 2023, 2023
22023
A low-rank framework of pmu data recovery and event identification
M Wang, JH Chow, Y Hao, S Zhang, W Li, R Wang, P Gao, C Lackner, ...
2019 International Conference on Smart Grid Synchronized Measurements and …, 2019
22019
How does promoting the minority fraction affect generalization? A theoretical study of one-hidden-layer neural network on group imbalance
H Li, S Zhang, Y Zhang, M Wang, S Liu, PY Chen
IEEE Journal of Selected Topics in Signal Processing, 2024
2024
Non-Convex Optimizations for Machine Learning with Theoretical Guarantee: Robust Matrix Completion and Neural Network Learning
S Zhang
Rensselaer Polytechnic Institute, 2021
2021
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Articles 1–17