Xiumin Wang

About Xiumin Wang

Xiumin Wang, With an exceptional h-index of 24 and a recent h-index of 18 (since 2020), a distinguished researcher at South China University of Technology, specializes in the field of Mobile computing, edge computing, Intelligent computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Time-Sensitive Federated Learning with Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach

Freshness-Aware Incentive Mechanism for Mobile Crowdsensing with Budget Constraint

Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing

Heterogeneous Training Intensity for Federated Learning: A Deep Reinforcement Learning Approach

Adaptive processor frequency adjustment for mobile-edge computing with intermittent energy supply

Multimodal Optimization of Edge Server Placement Considering System Response Time

Adaptive Aggregation Weight Assignment for Federated Learning: A Deep Reinforcement Learning Approach

Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach

Xiumin Wang Information

University

Position

___

Citations(all)

2263

Citations(since 2020)

1454

Cited By

1306

hIndex(all)

24

hIndex(since 2020)

18

i10Index(all)

40

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Xiumin Wang Skills & Research Interests

Mobile computing

edge computing

Intelligent computing

Top articles of Xiumin Wang

Title

Journal

Author(s)

Publication Date

Time-Sensitive Federated Learning with Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach

IEEE Transactions on Emerging Topics in Computational Intelligence

Weijian Pan

Xiumin Wang

Pan Zhou

Weiwei Lin

2023/10

Freshness-Aware Incentive Mechanism for Mobile Crowdsensing with Budget Constraint

IEEE Transactions on Services Computing

Ying Cheng

Xiumin Wang

Pan Zhou

Xinglin Zhang

Weiwei Wu

2023/9

Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing

IEEE Transactions on Dependable and Secure Computing

Xingfu Yan

Wing WY Ng

Bowen Zhao

Yuxian Liu

Ying Gao

...

2023/5/19

Heterogeneous Training Intensity for Federated Learning: A Deep Reinforcement Learning Approach

IEEE Transactions on Network Science and Engineering

Manying Zeng

Xiumin Wang

Weijian Pan

Pan Zhou

2023/3

Adaptive processor frequency adjustment for mobile-edge computing with intermittent energy supply

IEEE Internet of Things Journal

Tiansheng Huang

Weiwei Lin

Xiaobin Hong

Xiumin Wang

Qingbo Wu

...

2021/10/13

Multimodal Optimization of Edge Server Placement Considering System Response Time

ACM Transactions on Sensor Networks (TOSN)

Xinglin Zhang

Jinyi Zhang

Chaoqun Peng

Xiumin Wang

2022

Adaptive Aggregation Weight Assignment for Federated Learning: A Deep Reinforcement Learning Approach

Enwei Guo

Xiumin Wang

Weiwei Wu

2022

Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach

IEEE Transactions on Emerging Topics in Computational Intelligence

Shuai Chen

Xiumin Wang

Pan Zhou

Weiwei Wu

Weiwei Lin

...

2022/2/14

Optimizing the Age of Information for Multi-Source Information Update in Internet of Things

IEEE Transactions on Network Science an Engineering

Weijian Pan

Zhaoji Deng

Xiumin Wang

Pan Zhou

Weiwei Wu

2022

Budget-Feasible Sybil-Proof Mechanisms for Crowdsensing

Xiang Liu

Weiwei Wu

Wanyuan Wang

Yuhang Xu

Xiumin Wang

...

2022/8/15

A Resource-Constrained and Privacy-Preserving Edge Computing Enabled Clinical Decision System: A Federated Reinforcement Learning Approach

IEEE Internet of Things Journal

Zeyue Xue

Pan Zhou

Zichuan Xu

Xiumin Wang

Yulai Xie

...

2021/2/8

Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing

IEEE Access

Wenyu Zhang

Xiumin Wang

Pan Zhou

Weiwei Wu

Xinglin Zhang

2021/2/3

Minimizing the Age of Multi-Source Information with Budget Constraint in Internet of Things

IEEE Internet of Things Journal

Qi Jing

Xiumin Wang

Pan Zhou

Kai Liu

Weiwei Wu

2021

A distributed truthful auction mechanism for task allocation in mobile cloud computing

IEEE Transactions on Services Computing

Xiumin Wang

Yan Sui

Jianping Wang

Chau Yuen

Weiwei Wu

2021

Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach

IEEE Transactions on Emerging Topics in Computational Intelligence

Yichen Liu

Pan Zhou

Lei Yang

Yulei Wu

Zichuan Xu

...

2021/6/18

Stable Task Assignment for Mobile Crowdsensing with Budget Constraint

IEEE Transactions on Mobile Computing

Chenxin Dai

Xiumin Wang

Kai Liu

Deyu Qi

Weiwei Lin

...

2020/6/5

Approximate to be Great: Communication Efficient and Privacy-preserving Large-scale Distributed Deep Learning in Internet of Things

IEEE internet of things Journal

Wei Du

Ang Li

Pan Zhou

Zichuan Xu

Xiumin Wang

...

2020/6/3

Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks

IEEE Transactions on Vehicular Technology

Tong Wu

Pan Zhou

Kai Liu

Yali Yuan

Xiumin Wang

...

2020/5/28

Promoting Users' Participation in Mobile Crowdsourcing: A Distributed Truthful Incentive Mechanism (DTIM) Approach

IEEE Transactions on Vehicular Technology

Xiumin Wang

Wayes Tushar

Yuen Chau

Zhang Xinglin

2020

Joint Task Offloading and Payment Determination for Mobile Edge Computing: A Stable Matching Based Approach

IEEE Transactions on Vehicular Technology

Xiumin Wang

Jianping Wang

Xinglin Zhang

Xiaoming Chen

Pan Zhou

2020/8/3

See List of Professors in Xiumin Wang University(South China University of Technology)

Co-Authors

academic-engine