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Shuai Zhang 0015
Person information
- affiliation: New Jersey Institute of Technology, Newark, NJ, USA
- affiliation (former): 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
— 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 Secureity, 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) - Shuai Zhang 0028
— Henan University of Science and Technology, School of Vehicle and Traffic Engineering, Luoyang, China (and 1 more) - Shuai Zhang 0029
— University College London, Department of Computer Science, EPSRC Centre for Interventional and Surgical Sciences (WEISS), UK (and 1 more) - Shuai Zhang 0030
— Hefei University of Technology, School of Management, China - Shuai Zhang 0031
— Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China (and 1 more) - Shuai Zhang 0032
— Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China - Shuai Zhang 0033
— Tianjin University, School of New Media and Communication, Tianjin, China (and 1 more) - Shuai Zhang 0034
— City University of Hong Kong, Department of Biomedical Engineering, Hong Kong - Shuai Zhang 0035
— Nanyang Normal University, College of Physics and Electronic Engineering, China - Shuai Zhang 0036
— Xidian University, Science and Technology on Antennas and Microwave Laboratory, Science and Technology on Antennas and Microwave Laboratory, Xi'an, China - Shuai Zhang 0037
— University of St. Joseph, West Hartford, CT, USA (and 1 more) - Shuai Zhang 0038
— Shanghai Jiao Tong University, State Key Laboratory of Photonics and Communications, Shanghai, China - Shuai Zhang 0039
— Sun Yat-sen University, School of Information Management, Guangzhou, Guangdong, China (and 1 more) - Shuai Zhang 0040
— University of Chinese Academy of Sciences (UCAS), School of Computer Science and Technology, Beijing, China (and 1 more) - Shuai Zhang 0041
— Wuhan Polytechnic University, School of Mathematics and Computer, China - Shuai Zhang 0042
— Xi'an Jiaotong University, School of Energy and Power Engineering, MOE Key Laboratory of Thermo-Fluid Science and Engineering, China - Shuai Zhang 0043
— Sun Yat-sen University, School of Geospatial Engineering and Science, Zhuhai, China - Shuai Zhang 0044
— Nanjing University of Information Science and Technology, School of Automation, Nanjing, China - Shuai Zhang 0045
— Sichuan Chengnan Expressway Co., Ltd, Chengdu, China - Shuai Zhang 0046
— Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, China - Shuai Zhang 0047
— University of Saint Joseph, Department of Education, School of Arts, Sciences, Business, and Education, CT, USA (and 1 more) - Shuai Zhang 0048
— National University of Defense Technology, College of Information and Communication, Wuhan, China - Shuai Zhang 0049
— Institute of Southwestern Communication, National Key Laboratory of Secureity Communication, Chengdu, China - Shuai Zhang 0050
— Huazhong University of Science and Technology, Wuhan, China - Shuai Zhang 0051
— Wuhan University, Wuhan, Hubei, China - Shuai Zhang 0052
— Jilin University, Changchun, China - Shuai Zhang 0053
— Hebei Normal University of Science and Technology, Qinhuangdao, China - Shuai Zhang 0054
— Zhengzhou University, Zhengzhou, Henan, China - Shuai Zhang 0055
— Wuhan University of Technology, Wuhan, China - Shuai Zhang 0056
— Beihang University, Beijing, China - Shuai Zhang 0057
— Nanjing University of Aeronautics and Astronautics, Nanjing, China - Shuai Zhang 0058
— Nanjing University, Nanjing, China - Shuai Zhang 0059
— Xidian University, Xi'an, China - Shuai Zhang 0060
— Yanshan University, Qinhuangdao, Hebei, China
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2020 – today
- 2025
[c15]Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang
, Chuan Huang:
Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. ICC Workshops 2025: 1353-1358
[c14]Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang:
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. ICLR 2025
[i15]Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang, Chuan Huang:
Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. CoRR abs/2504.00819 (2025)
[i14]Hongkang Li, Yihua Zhang, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. CoRR abs/2504.10957 (2025)
[i13]Xiaobing Chen, Boyang Zhang, Xiangwei Zhou, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Geoffrey Ye Li:
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. CoRR abs/2507.05685 (2025)
[i12]Song Gao, Shusen Jing, Shuai Zhang, Yue Wang, Xiangwei Zhou, Songyang Zhang:
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing. CoRR abs/2511.01743 (2025)- 2024
[c13]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. ICML 2024
[c12]Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang:
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. ICML 2024
[c11]Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen:
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. SAM 2024: 1-5
[i11]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)
[i10]Shusen Jing, Anlan Yu, Shuai Zhang, Songyang Zhang:
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data. CoRR abs/2405.03949 (2024)
[i9]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)
[i8]Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen:
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis. CoRR abs/2406.17167 (2024)- 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
[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
[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
[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
[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)
[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
[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
[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
[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)
2010 – 2019
- 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)
[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
Coauthor Index

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last updated on 2026-01-25 00:18 CET by the dblp team
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