Fang Dong

Fang Dong

Southeast University

H-index: 23

Asia-China

About Fang Dong

Fang Dong, With an exceptional h-index of 23 and a recent h-index of 18 (since 2020), a distinguished researcher at Southeast University, specializes in the field of Edge Compuing, Cloud, AIOT.

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

Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph

Privacy‐preserving model splitting and quality‐aware device association for federated edge learning

FreezePipe: An Efficient Dynamic Pipeline Parallel Approach Based on Freezing Mechanism for Distributed DNN Training

Noise-aware Local Model Training Mechanism for Federated Learning

DeepMetricCorr: Fast flow correlation for data center networks with deep metric learning

Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information

PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT

Fang Dong Information

University

Position

___

Citations(all)

2580

Citations(since 2020)

1219

Cited By

1302

hIndex(all)

23

hIndex(since 2020)

18

i10Index(all)

48

i10Index(since 2020)

33

Email

University Profile Page

Southeast University

Google Scholar

View Google Scholar Profile

Fang Dong Skills & Research Interests

Edge Compuing

Cloud

AIOT

Top articles of Fang Dong

Title

Journal

Author(s)

Publication Date

Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization

ACM Transactions on Sensor Networks

Jinghui Zhang

Jiawei Wang

Yaning Li

Fa Xin

Fang Dong

...

2024/2/16

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph

Proceedings of the AAAI Conference on Artificial Intelligence

Jinghui Zhang

Zhengjia Xu

Dingyang Lv

Zhan Shi

Dian Shen

...

2024/3/24

Privacy‐preserving model splitting and quality‐aware device association for federated edge learning

Software: Practice and Experience

Shucun Fu

Fang Dong

Dian Shen

Tianyang Lu

2023

FreezePipe: An Efficient Dynamic Pipeline Parallel Approach Based on Freezing Mechanism for Distributed DNN Training

Caishan Weng

Zhiyang Shu

Zhengjia Xu

Jinghui Zhang

Junzhou Luo

...

2023/5/24

Noise-aware Local Model Training Mechanism for Federated Learning

ACM Transactions on Intelligent Systems and Technology

Jinghui Zhang

Dingyang Lv

Qiangsheng Dai

Fa Xin

Fang Dong

2023/6/15

DeepMetricCorr: Fast flow correlation for data center networks with deep metric learning

Computer Networks

Zunyi Liu

Dian Shen

Jiaang Bao

Fang Dong

Jiong You

2023/9/1

Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information

Applied Soft Computing

Dingyang Lv

Zhengjia Xu

Jinghui Zhang

Yuchen Wang

Fang Dong

2023/12/1

PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT

Journal of Systems Architecture

Fang Dong

Xinghua Ge

Qinya Li

Jinghui Zhang

Dian Shen

...

2023/1/1

HyperRTV: Neural-Enhanced Adaptive Real-Time Video Streaming Based on Terminal-Edge Collaboration

Baijun Chen

Daheng Yin

Lifei Teng

Fang Dong

2023/5/24

Deep Reinforcement Learning Based Production Scheduling in Industrial Internet of Things

IEEE Internet of Things Journal

Zihui Luo

Chengling Jiang

Liang Liu

Xiaolong Zheng

Huadong Ma

...

2023/6/5

ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks

Jieling Yu

Ruiting Zhou

Chen Chen

Bo Li

Fang Dong

2023/8/7

Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors

Sustainable Computing: Informatics and Systems

Jinghui Zhang

Weilong Xin

Dingyang Lv

Jiawei Wang

Guangxing Cai

...

2023/12/1

B2-bandit: Budgeted Pricing with Blocking Constraints for Metaverse Crowdsensing under Uncertainty

IEEE Journal on Selected Areas in Communications

Xiang Liu

Yiyan Qin

Weiwei Wu

Chenchen Fu

Yan Lyu

...

2023/12/25

Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation

IEEE Transactions on Network Science and Engineering

Jinghui Zhang

Dian Shen

Fang Dong

Kexi Kang

Jiahui Jin

...

2023/5/8

Accelerate Multi-view Inference with End-edge Collaborative Computing

Wangbing Cheng

MinFeng Zhang

Fang Dong

Shucun Fu

2023/5/24

Enabling Adaptive Task Dispatching for Real-time Video Analytics in Uncertain Edge Environments

Xiaolin Guo

Zhaowu Huang

Fan Sun

Fang Dong

2023/7/28

Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing

Simulation modelling practice and theory

Jinghui Zhang

Yizhou Tang

Jiawei Wang

Dingyang Lv

Liqun Zhu

...

2023/11/1

Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning

IEEE Transactions on Services Computing

Shucun Fu

Fang Dong

Dian Shen

Jinghui Zhang

Zhaowu Huang

...

2023/12/19

Label information enhanced fraud detection against low homophily in graphs

Yuchen Wang

Jinghui Zhang

Zhengjie Huang

Weibin Li

Shikun Feng

...

2023/4/30

Joint Optimization of Task Offloading and Resource Allocation for Edge Video Analytics

Zhenxuan Xu

Yunzhou Xie

Fang Dong

Shucun Fu

Jiangshan Hao

2023/5/24

See List of Professors in Fang Dong University(Southeast University)