Huiming Chen

According to our database, Huiming Chen authored at least 15 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Coordinated Downlink Beamforming in Multi-Cell MIMO Networks: A Diffusion Model-Enhanced Multi-Agent Reinforcement Learning Perspective.

Haoqiang Liu, Huiming Chen, Wenzhen Huang, Zhaobin Wei, Yonghong Zeng, Hong Yan

IEEE Trans. Wirel. Commun., 2026

Federated User Self-Decision Mechanism for Coupled Electricity and Carbon Market Considering Differentiated Objectives of Heterogeneous DERs.

Zhaobin Wei, Huiming Chen, Haotang Li, Haoqiang Liu, Le Zhang, Jichun Liu, Alberto Borghetti, Hong Yan, C. C. Chan

IEEE Trans. Netw. Sci. Eng., 2026

Collaborative route optimization for efficient and constraint-aware express delivery using deep reinforcement learning.

Haoqiang Liu, Huiming Chen, Zhaobin Wei, Qi Shi, Wenzhen Huang, Witold Pedrycz

Neurocomputing, 2026

2025

Advancements in Federated Learning: Models, Methods, and Privacy.

Huiming Chen, Huandong Wang, Qingyue Long, Depeng Jin, Yong Li

ACM Comput. Surv., February, 2025

Efficient Multi-User Resource Allocation for Urban Vehicular Edge Computing: A Hybrid Architecture Matching Approach.

Hongyang Xie, Haoqiang Liu, Huiming Chen, Shaohan Feng, Zhaobin Wei, Yonghong Zeng

IEEE Trans. Veh. Technol., January, 2025

Voltage Regulation Service Pricing in Cyber-Physical Distribution Networks With Multi-Dimensional Meteorological Uncertainties.

Zhaobin Wei, Zhenyu Huang, Zhiyuan Tang, Huiming Chen, Xianwang Zuo, Haotang Li, Haoqiang Liu, Jichun Liu, Alberto Borghetti

IEEE Trans. Netw. Sci. Eng., 2025

2023

LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization.

Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang

ACM Trans. Knowl. Discov. Data, May, 2023

Advancements in Federated Learning: Models, Methods, and Privacy.

Huiming Chen, Huandong Wang, Depeng Jin, Yong Li

CoRR, 2023

2020

A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications.

Huiming Chen, Ho-Chun Wu, Shing-Chow Chan, Wong-Hing Lam

IEEE Trans. Neural Networks Learn. Syst., 2020

Charging Load Prediction and Distribution Network Reliability Evaluation Considering Electric Vehicles' Spatial-Temporal Transfer Randomness.

Shan Cheng, Zhaobin Wei, Dongdong Shang, Zikai Zhao, Huiming Chen

IEEE Access, 2020

A Robust and High-performance White Blood Cell Segmentation Algorithm.

Yunchao Zhang, Ning Xu, Huiming Chen, Wong Hing Lam, Xin Zhang, Tian Qiu

Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019

On the Convergence Analysis of Cubic Regularized Symmetric Rank-1 Quasi-Newton Method and the Incremental Version in the Application of Large-Scale Problems.

Huiming Chen, Wong-Hing Lam, Shing-Chow Chan

IEEE Access, 2019

Training Design and Two Stage Channel Estimation for Correlated Two-Way MIMO Relay Systems under Colored Disturbance.

Huiming Chen, Wong-Hing Lam

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Training Based Two-Step Channel Estimation in Two-Way MIMO Relay Systems.

Huiming Chen, Wong-Hing Lam

IEEE Trans. Veh. Technol., 2018

2016

Training design and two-stage channel estimation for correlated two-way MIMO relay systems.

Huiming Chen, Wong-Hing Lam

Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016