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ORCIDShuai Zhang 0015
Person information
- affiliation: Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, NY, USA
Other persons with the same name
- Shuai Zhang — disambiguation page
- Shuai Zhang 0001
![[0000-0002-4821-6404]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4821-6404")
— University of Ulster, UK - Shuai Zhang 0002 — Zhejiang University of Finance and Economics, Hangzhou, China
- Shuai Zhang 0003 — Aalborg University, Faculty of Engineering and Science, Denmark
- Shuai Zhang 0004 — SenseTime Group Limited, SenseTime Research, Shenzhen, Hong Kong (and 1 more)
- Shuai Zhang 0005 — Fudan University, Department of Materials Science, Shanghai, China
- Shuai Zhang 0006 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Shuai Zhang 0007 — University of New South Wales, School of Computer Science and Engineering, Kensington, Australia
- Shuai Zhang 0008 — Tianjin University, MOE Key Laboratory of Smart Grid, China
- Shuai Zhang 0009 — Qualcomm Inc., San Diego, CA, USA (and 1 more)
- Shuai Zhang 0010 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Shuai Zhang 0011 — Xi'an Research Institution of Hi-Technology, Department of Control Engineering, China
- Shuai Zhang 0012 — University of Texas at Dallas, TX, USA
- Shuai Zhang 0013 — Illinois Institute of Technology, Department of Electrical and Computer Engineering, Chicago, IL, USA
- Shuai Zhang 0014 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more)
- Shuai Zhang 0016 — Wuhan University, School of Geodesy and Geomatics, Research Center for High Accuracy Location Awareness, China
- Shuai Zhang 0017 — Tianjin University, School of Microelectronics, China
- Shuai Zhang 0018 — KTH Royal Institute of Technology, Stockholm, Sweden (and 1 more)
- Shuai Zhang 0019 — Tianjin University, School of Electrical and Information Engineering, China
- Shuai Zhang 0020 — University of Greenwich, London, UK (and 1 more)
- Shuai Zhang 0021 — Army Engineering University, Shijiazhuang, China
- Shuai Zhang 0022 — Xi'an University of Posts and Telecommunications, School of Cyberspace Security, China
- Shuai Zhang 0023 — University of South Florida, College of Marine Science, St. Petersburg, FL, USA (and 1 more)
- Shuai Zhang 0024 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Shuai Zhang 0025 — Shandong University of Science and Technology, College of Civil Engineering and Architecture, Shandong Key Laboratory of Civil Engineering Disaster Prevention and Mitigation, Qingdao, China
- Shuai Zhang 0026 — Beihang University, School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, China
- Shuai Zhang 0027 — Zhejiang University, Center for Psychological Sciences, Hangzhou, China (and 1 more)
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Journal Articles
- 2021
[j3]Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen:
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2622-2635 (2021)- 2019
- [j2]Shuai Zhang, Meng Wang:
Correction of Corrupted Columns Through Fast Robust Hankel Matrix Completion. IEEE Trans. Signal Process. 67(10): 2580-2594 (2019) - 2018
- [j1]Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow:
Multichannel Hankel Matrix Completion Through Nonconvex Optimization. IEEE J. Sel. Top. Signal Process. 12(4): 617-632 (2018)
Conference and Workshop Papers
- 2023
- [c10]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR 2023 - [c9]Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML 2023: 6074-6114 - [c8]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS 2023 - 2022
- [c7]Hongkang Li, Shuai Zhang, Meng Wang:
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CISS 2022: 37-42 - [c6]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR 2022 - 2021
- [c5]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS 2021: 2707-2720 - 2020
- [c4]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent. CISS 2020: 1-6 - [c3]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. ICML 2020: 11268-11277 - 2018
- [c2]Shuai Zhang, Meng Wang:
Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure. ISIT 2018: 646-650 - 2017
- [c1]Shuai Zhang, Yingshuai Hao, Meng Wang, Joe H. Chow:
Multi-Channel missing data recovery by exploiting the low-rank hankel structures. CAMSAP 2017: 1-5
Informal and Other Publications
- 2024
- [i9]Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR abs/2403.07310 (2024) - [i8]Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang:
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR abs/2405.15920 (2024) - 2023
- [i7]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR abs/2302.02922 (2023) - [i6]Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. CoRR abs/2306.04073 (2023) - [i5]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR abs/2310.16173 (2023) - 2022
- [i4]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR abs/2201.08514 (2022) - [i3]Hongkang Li, Shuai Zhang, Meng Wang:
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data. CoRR abs/2207.03615 (2022) - 2021
- [i2]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks. CoRR abs/2110.05667 (2021) - 2020
- [i1]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case. CoRR abs/2006.14117 (2020)
Coauthor Index
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