Obserwuj
Shuai Zhang
Tytuł
Cytowane przez
Cytowane przez
Rok
Correction of corrupted columns through fast robust Hankel matrix completion
S Zhang, M Wang
IEEE Transactions on Signal Processing 67 (10), 2580-2594, 2019
442019
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
422018
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
382021
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
382020
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
29*2022
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
272023
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
242023
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
222020
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
202017
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
192023
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
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
112021
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
92022
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
72024
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
72020
Learning on transformers is provable low-rank and sparse: A one-layer analysis
H Li, M Wang, S Zhang, S Liu, PY Chen
2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2024
62024
Context-former: Stitching via latent conditioned sequence modeling
Z Zhang, J Xu, J Liu, Z Zhuang, D Wang, M Liu, S Zhang
arXiv preprint arXiv:2401.16452, 2024
32024
Visual prompting reimagined: The power of activation prompts
Y Zhang, H Li, Y Yao, A Chen, S Zhang, PY Chen, M Wang, S Liu
32024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
S Zhang, HD Fernando, M Liu, K Murugesan, S Lu, PY Chen, T Chen, ...
ICML, 2024, 2024
22024
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
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