Shenglong Zhou

46 papers B 1Journal 42Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decentralized Federated Learning by Partial Message Exchange. CoRR Shan Sha, Shenglong Zhou, Xin Wang, Lingchen Kong, Geoffrey Ye Li
2025	J	`jnl`	A 0/1 Constrained Optimization Solving Sample Average Approximation for Chance Constrained Programming. Math. Oper. Res. Shenglong Zhou, Lili Pan, Naihua Xiu, Geoffrey Ye Li
2025	J	`jnl`	A step function based recursion method for 0/1 deep neural networks. Appl. Math. Comput. Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu, Yiju Wang
2025	J	`jnl`	Fast Adaptation for Deep Learning-Based Wireless Communications. IEEE Commun. Mag. Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li
2025	J	`jnl`	Frameworks on Few-Shot Learning With Applications in Wireless Communication. IEEE Trans. Signal Process. Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2025	J	`jnl`	Nonconvex Quasi-Variational Inequalities: Stability Analysis and Application to Numerical Optimization. J. Optim. Theory Appl. Joydeep Dutta, Lahoussine Lafhim, Alain B. Zemkoho, Shenglong Zhou
2025	J	`jnl`	Preconditioned Inexact Stochastic ADMM for Deep Model. CoRR Shenglong Zhou, Ouya Wang, Ziyan Luo, Yongxu Zhu, Geoffrey Ye Li
2025	J	`jnl`	Sparse Decentralized Federated Learning. IEEE Trans. Signal Process. Shan Sha, Shenglong Zhou, Lingchen Kong, Geoffrey Ye Li
2024	J	`jnl`	Accretionary Learning With Deep Neural Networks With Applications. IEEE Trans. Cogn. Commun. Netw. Xinyu Wei, Biing-Hwang Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2024	J	`jnl`	BADM: Batch ADMM for Deep Learning. CoRR Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2024	—	`conf`	Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing. VTC Spring Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li
2024	J	`jnl`	Fast Adaptation for Deep Learning-based Wireless Communications. CoRR Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li
2024	—	`conf`	Federated Reinforcement Learning for Resource Allocation in V2X Networks. VTC Spring Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
2024	J	`jnl`	Federated Reinforcement Learning for Resource Allocation in V2X Networks. IEEE J. Sel. Top. Signal Process. Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
2024	J	`jnl`	Rescale-Invariant Federated Reinforcement Learning for Resource Allocation in V2X Networks. IEEE Commun. Lett. Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
2023	J	`jnl`	Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing. CoRR Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li
2023	—	`conf`	Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design. MLSP Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2023	J	`jnl`	FedGiA: An Efficient Hybrid Algorithm for Federated Learning. IEEE Trans. Signal Process. Shenglong Zhou, Geoffrey Ye Li
2023	J	`jnl`	Federated Learning Via Inexact ADMM. IEEE Trans. Pattern Anal. Mach. Intell. Shenglong Zhou, Geoffrey Ye Li
2023	J	`jnl`	Federated Reinforcement Learning for Resource Allocation in V2X Networks. CoRR Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
2023	B	`conf`	Few-Shot Learning for New Environment Adaptation. GLOBECOM Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2023	J	`jnl`	Gradient projection Newton algorithm for sparse collaborative learning using synthetic and real datasets of applications. J. Comput. Appl. Math. Jun Sun, Lingchen Kong, Shenglong Zhou
2023	J	`jnl`	New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming. CoRR Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2022	J	`jnl`	0/1 Deep Neural Networks via Block Coordinate Descent. CoRR Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu
2022	J	`jnl`	Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization. IEEE Trans. Signal Process. Shenglong Zhou, Ziyan Luo, Naihua Xiu, Geoffrey Ye Li
2022	J	`jnl`	Efficient and Convergent Federated Learning. CoRR Shenglong Zhou, Geoffrey Ye Li
2022	J	`jnl`	Exact Penalty Method for Federated Learning. CoRR Shenglong Zhou, Geoffrey Ye Li
2022	J	`jnl`	Federated Learning via Inexact ADMM. CoRR Shenglong Zhou, Geoffrey Ye Li
2022	J	`jnl`	Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments. Optim. Methods Softw. Andreas Fischer, Alain B. Zemkoho, Shenglong Zhou
2022	J	`jnl`	Sparse SVM for Sufficient Data Reduction. IEEE Trans. Pattern Anal. Mach. Intell. Shenglong Zhou
2022	J	`jnl`	Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
2021	J	`jnl`	Accretionary Learning with Deep Neural Networks. CoRR Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li
2021	J	`jnl`	An extended Newton-type algorithm for ℓ2-regularized sparse logistic regression and its efficiency for classifying large-scale datasets. J. Comput. Appl. Math. Rui Wang, Naihua Xiu, Shenglong Zhou
2021	J	`jnl`	Communication-Efficient ADMM-based Federated Learning. CoRR Shenglong Zhou, Geoffrey Ye Li
2021	J	`jnl`	Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. J. Mach. Learn. Res. Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
2021	J	`jnl`	Newton Hard-Thresholding Pursuit for Sparse Linear Complementarity Problem via A New Merit Function. SIAM J. Sci. Comput. Shenglong Zhou, Meijuan Shang, Lili Pan, Mu Li
2021	J	`jnl`	Newton method for ℓ Numer. Algorithms Shenglong Zhou, Lili Pan, Naihua Xiu
2021	J	`jnl`	Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. SIAM J. Optim. Shenglong Zhou, Lili Pan, Naihua Xiu, Hou-Duo Qi
2021	J	`jnl`	Theoretical and numerical comparison of the Karush-Kuhn-Tucker and value function reformulations in bilevel optimization. Comput. Optim. Appl. Alain B. Zemkoho, Shenglong Zhou
2020	J	`jnl`	Matrix Optimization Over Low-Rank Spectral Sets: Stationary Points and Local and Global Minimizers. J. Optim. Theory Appl. Xinrong Li, Naihua Xiu, Shenglong Zhou
2020	J	`jnl`	Robust Euclidean embedding via EDM optimization. Math. Program. Comput. Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
2019	J	`jnl`	Support Vector Machine Classifier via L CoRR Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
2018	J	`jnl`	A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints. IEEE Trans. Signal Process. Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
2015	J	`jnl`	A half thresholding projection algorithm for sparse solutions of LCPs. Optim. Lett. Meijuan Shang, Chao Zhang, Dingtao Peng, Shenglong Zhou
2013	J	`jnl`	Exact Recovery for Sparse Signal via Weighted l_1 Minimization. CoRR Shenglong Zhou, Naihua Xiu, Yingnan Wang, Lingchen Kong
2013	J	`jnl`	New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing. CoRR Shenglong Zhou, Lingchen Kong, Ziyan Luo, Naihua Xiu