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ORCIDShenglong Zhou 0001
Person information
- affiliation: Beijing Jiaotong University, School of Mathematics and Statistics, China
- affiliation (former): Imperial College London, Department of Electrical and Electronic Engineering, London, UK
- affiliation (former, PhD 2017): University of Southampton, Southampton, School of Mathematics, UK
Other persons with the same name
- Shenglong Zhou 0002
![[0000-0002-2575-8104]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2575-8104")
— University of Science and Technology of China, Hefei, China - Shenglong Zhou 0004 — North China Electric Power University, School Of Control And Computer Engineering, Beijing, China
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Journal Articles
- 2024
[j18]Xinyu Wei, Biing-Hwang Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Accretionary Learning With Deep Neural Networks With Applications. IEEE Trans. Cogn. Commun. Netw. 10(2): 660-673 (2024)- 2023
- [j17]Jun Sun, Lingchen Kong, Shenglong Zhou:
Gradient projection Newton algorithm for sparse collaborative learning using synthetic and real datasets of applications. J. Comput. Appl. Math. 422: 114872 (2023) - [j16]Shenglong Zhou, Geoffrey Ye Li:
Federated Learning Via Inexact ADMM. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9699-9708 (2023) - [j15]Shenglong Zhou, Geoffrey Ye Li:
FedGiA: An Efficient Hybrid Algorithm for Federated Learning. IEEE Trans. Signal Process. 71: 1493-1508 (2023) - 2022
- [j14]Andreas Fischer, Alain B. Zemkoho, Shenglong Zhou:
Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments. Optim. Methods Softw. 37(5): 1770-1804 (2022) - [j13]Shenglong Zhou:
Sparse SVM for Sufficient Data Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5560-5571 (2022) - [j12]Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu:
Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7253-7265 (2022) - [j11]Shenglong Zhou, Ziyan Luo, Naihua Xiu, Geoffrey Ye Li:
Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization. IEEE Trans. Signal Process. 70: 1593-1608 (2022) - 2021
- [j10]Alain B. Zemkoho, Shenglong Zhou:
Theoretical and numerical comparison of the Karush-Kuhn-Tucker and value function reformulations in bilevel optimization. Comput. Optim. Appl. 78(2): 625-674 (2021) - [j9]Rui Wang, Naihua Xiu, Shenglong Zhou:
An extended Newton-type algorithm for ℓ2-regularized sparse logistic regression and its efficiency for classifying large-scale datasets. J. Comput. Appl. Math. 397: 113656 (2021) - [j8]Shenglong Zhou, Naihua Xiu, Hou-Duo Qi:
Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. J. Mach. Learn. Res. 22: 12:1-12:45 (2021) - [j7]Shenglong Zhou, Lili Pan, Naihua Xiu:
Newton method for ℓ0-regularized optimization. Numer. Algorithms 88(4): 1541-1570 (2021) - [j6]Shenglong Zhou, Lili Pan, Naihua Xiu, Hou-Duo Qi:
Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. SIAM J. Optim. 31(4): 3184-3211 (2021) - [j5]Shenglong Zhou, Meijuan Shang, Lili Pan, Mu Li:
Newton Hard-Thresholding Pursuit for Sparse Linear Complementarity Problem via A New Merit Function. SIAM J. Sci. Comput. 43(2): A772-A799 (2021) - 2020
- [j4]Xinrong Li, Naihua Xiu, Shenglong Zhou:
Matrix Optimization Over Low-Rank Spectral Sets: Stationary Points and Local and Global Minimizers. J. Optim. Theory Appl. 184(3): 895-930 (2020) - [j3]Shenglong Zhou, Naihua Xiu, Hou-Duo Qi:
Robust Euclidean embedding via EDM optimization. Math. Program. Comput. 12(3): 337-387 (2020) - 2018
- [j2]Shenglong Zhou, Naihua Xiu, Hou-Duo Qi:
A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints. IEEE Trans. Signal Process. 66(16): 4331-4346 (2018) - 2015
- [j1]Meijuan Shang, Chao Zhang, Dingtao Peng, Shenglong Zhou:
A half thresholding projection algorithm for sparse solutions of LCPs. Optim. Lett. 9(6): 1231-1245 (2015)
Conference and Workshop Papers
- 2023
- [c2]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Few-Shot Learning for New Environment Adaptation. GLOBECOM 2023: 351-356 - [c1]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design. MLSP 2023: 1-6
Informal and Other Publications
- 2024
- [i13]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
BADM: Batch ADMM for Deep Learning. CoRR abs/2407.01640 (2024) - 2023
- [i12]Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li:
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing. CoRR abs/2308.16671 (2023) - [i11]Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li:
Federated Reinforcement Learning for Resource Allocation in V2X Networks. CoRR abs/2310.09858 (2023) - [i10]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming. CoRR abs/2310.12343 (2023) - 2022
- [i9]Shenglong Zhou, Geoffrey Ye Li:
Federated Learning via Inexact ADMM. CoRR abs/2204.10607 (2022) - [i8]Shenglong Zhou, Geoffrey Ye Li:
Efficient and Convergent Federated Learning. CoRR abs/2205.01438 (2022) - [i7]Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu:
0/1 Deep Neural Networks via Block Coordinate Descent. CoRR abs/2206.09379 (2022) - [i6]Shenglong Zhou, Geoffrey Ye Li:
Exact Penalty Method for Federated Learning. CoRR abs/2208.11231 (2022) - 2021
- [i5]Shenglong Zhou, Geoffrey Ye Li:
Communication-Efficient ADMM-based Federated Learning. CoRR abs/2110.15318 (2021) - [i4]Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Accretionary Learning with Deep Neural Networks. CoRR abs/2111.10857 (2021) - 2019
- [i3]Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu:
Support Vector Machine Classifier via L0/1 Soft-Margin Loss. CoRR abs/1912.07418 (2019) - 2013
- [i2]Shenglong Zhou, Lingchen Kong, Ziyan Luo, Naihua Xiu:
New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing. CoRR abs/1308.0455 (2013) - [i1]Shenglong Zhou, Naihua Xiu, Yingnan Wang, Lingchen Kong:
Exact Recovery for Sparse Signal via Weighted l_1 Minimization. CoRR abs/1312.2358 (2013)
Coauthor Index
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