Fang Dong

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 73

Top Venues

CSCWD

CBD

Concurr. Comput. Pract. Exp.

ICPP

Publications

Jinghui Zhang, Jiawei Wang, Yaning Li, Fa Xin, Fang Dong, Junzhou Luo, Zhihua Wu
Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization. ACM Trans. Sens. Networks 20 (2) (2024)
Shucun Fu, Fang Dong, Dian Shen, Jinghui Zhang, Zhaowu Huang, Qiang He
Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning. IEEE Trans. Serv. Comput. 17 (1) (2024)
Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. AAAI (2024)
Jinghui Zhang, Dian Shen, Fang Dong, Kexi Kang, Jiahui Jin, Junzhou Luo, Junxue Zhang
Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Dingyang Lv, Zhengjia Xu, Jinghui Zhang, Yuchen Wang, Fang Dong
Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information. Appl. Soft Comput. 149 (Part A) (2024)
Jiangshan Hao, Fang Dong, Bingheng Cen, Shucun Fu, Ruiting Zhou, Ding Ding
HASFL: Harnessing Heterogeneous Models Across Diverse Devices for Enhanced Federated Learning. ICPP (2024)
Xiang Liu, Yifan Qin, Weiwei Wu, Chenchen Fu, Yan Lyu, Fang Dong, Junzhou Luo
-Bandit: Budgeted Pricing With Blocking Constraints for Metaverse Crowdsensing Under Uncertainty. IEEE J. Sel. Areas Commun. 42 (3) (2024)
Daheng Yin, Fang Dong, Baijun Chen, Dian Shen, Ruiting Zhou, Xiaolin Guo, Zhaowu Huang
WAEVSR: Enabling Collaborative Live Video Super-Resolution in Wide-Area MEC Environment. IWQoS (2023)
Haopeng Zhu, Zhaowu Huang, Xiaolin Guo, Mengyang Liu, Baijun Chen, Fang Dong
Adaptive Overlap Padding and Resolution Selection for Frame Split-based Edge Video Analytics. ICPADS (2023)
Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. CoRR (2023)
Fang Dong, Huitian Wang, Dian Shen, Zhaowu Huang, Qiang He, Jinghui Zhang, Liangsheng Wen, Tingting Zhang
Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. IEEE Trans. Mob. Comput. 22 (9) (2023)
Feng Shan, Jianping Huang, Runqun Xiong, Fang Dong, Junzhou Luo, Suyang Wang
Energy-Efficient General PoI-Visiting by UAV With a Practical Flight Energy Model. IEEE Trans. Mob. Comput. 22 (11) (2023)
Zhenxuan Xu, Xiaolin Guo, Zhaowu Huang, Shucun Fu, Fang Dong
ROIAdaptor: Adaptive Task Offloading of ROI-Encoded Videos for Edge Video Analytics. MSN (2023)
Jieling Yu, Ruiting Zhou, Chen Chen, Bo Li, Fang Dong
ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks. ICPP (2023)
Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. WWW (2023)
Ye Wan, Mengyang Liu, Guangtong Li, Fang Dong
CoCV: Heterogeneous Processors Collaboration Mechanism for End-to-End Execution of Intelligent Computer Vision Tasks on Mobile Devices. ICPADS (2023)
Caishan Weng, Zhiyang Shu, Zhengjia Xu, Jinghui Zhang, Junzhou Luo, Fang Dong, Peng Wang, Zhengang Wang
FreezePipe: An Efficient Dynamic Pipeline Parallel Approach Based on Freezing Mechanism for Distributed DNN Training. CSCWD (2023)
Jinghui Zhang, Dingyang Lv, Qiangsheng Dai, Fa Xin, Fang Dong
Noise-aware Local Model Training Mechanism for Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Xiaolin Guo, Zhaowu Huang, Fan Sun, Fang Dong
Enabling Adaptive Task Dispatching for Real-time Video Analytics in Uncertain Edge Environments. ACM TUR-C (2023)
Zefan Yu, Runqun Xiong, Fang Dong, Zhiang Wu
High-efficient Joinable Tables Discovery in Data Lakes: A Grey Relational Model-based Approach. CBD (2023)
Zihui Luo, Chengling Jiang, Liang Liu, Xiaolong Zheng, Huadong Ma, Fang Dong, Fucun Li
Deep-Reinforcement-Learning-Based Production Scheduling in Industrial Internet of Things. IEEE Internet Things J. 10 (22) (2023)
Baijun Chen, Daheng Yin, Lifei Teng, Fang Dong
HyperRTV: Neural-Enhanced Adaptive Real-Time Video Streaming Based on Terminal-Edge Collaboration. CSCWD (2023)
Zhenxuan Xu, Yunzhou Xie, Fang Dong, Shucun Fu, Jiangshan Hao
Joint Optimization of Task Offloading and Resource Allocation for Edge Video Analytics. CSCWD (2023)
Wangbing Cheng, MinFeng Zhang, Fang Dong, Shucun Fu
Accelerate Multi-view Inference with End-edge Collaborative Computing. CSCWD (2023)
Bowen Zhou, Jiangshan Hao, Shucun Fu, Wei Wang, Siyu Tan, Fang Dong
APFed: Attention-based Personalized Federated Learning in Model Heterogeneity Scenario. ACM TUR-C (2023)
Fang Dong, Xinghua Ge, Qinya Li, Jinghui Zhang, Dian Shen, Siqi Liu, Xiao Liu, Gang Li, Fan Wu, Junzhou Luo
PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT. J. Syst. Archit. 134 (2023)
Qiang He, Fang Dong, Chenshu Wu, Yun Yang
Editorial for Resource Management at the Edge for Future web, Mobile, and IoT Applications. World Wide Web (WWW) 26 (3) (2023)
Guangtong Li, Mengyang Liu, Ye Wan, Fang Dong
SpringNet: Enhancing Hardware-Dependent Model Adaptation through Efficient Cost Prediction. CBD (2023)
Siqi Liu, Fang Dong
MIA-FedDL: A Membership Inference Attack against Federated Distillation Learning. CSCWD (2023)
Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Fang Dong, Hai Jin, Yun Yang
OL-EUA: Online User Allocation for NOMA-Based Mobile Edge Computing. IEEE Trans. Mob. Comput. 22 (4) (2023)
Jinghui Zhang, Weilong Xin, Dingyang Lv, Jiawei Wang, Guangxing Cai, Fang Dong
Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors. Sustain. Comput. Informatics Syst. 40 (2023)
Shucun Fu, Fang Dong, Dian Shen, Qiang He
Joint Quality Evaluation, Model Splitting and Resource Provisioning for Split Edge Learning. SECON (2023)
Dian Shen, Junzhou Luo, Fang Dong, Xiaolin Guo, Ciyuan Chen, Kai Wang, John C. S. Lui
Enabling Distributed and Optimal RDMA Resource Sharing in Large-Scale Data Center Networks: Modeling, Analysis, and Implementation. IEEE/ACM Trans. Netw. 31 (6) (2023)
Chenyu Lu, Zhaowu Huang, Caishan Weng, Feng Jiao, Xiaolin Guo, Fang Dong
A Kubernetes-Oriented Edge Network Orchestrator for Heterogeneous Environment. CBD (2022)
Zhaowu Huang, Fang Dong, Dian Shen, Huitian Wang, Xiaolin Guo, Shucun Fu
Enabling Latency-Sensitive DNN Inference via Joint Optimization of Model Surgery and Resource Allocation in Heterogeneous Edge. ICPP (2022)
Fan Xin, Jinghui Zhang, Junzhou Luo, Fang Dong
Federated Learning Client Selection Mechanism Under System and Data Heterogeneity. CSCWD (2022)
Xiaolin Guo, Fang Dong, Dian Shen, Zhaowu Huang, Zhenyang Ni, Yulong Jiang, Daheng Yin
Exploiting the Computational Path Diversity with In-network Computing for MEC. SECON (2022)
Bin Yang, Dian Shen, Junxue Zhang, Fang Dong, Junzhou Luo, John C. S. Lui
Towards the Full Extensibility of Multipath TCP with eMPTCP. ICNP (2022)
Dian Shen, Yi Zhai, Fang Dong, Junzhou Luo
Last-mile Matters: Mitigating the Tail Latency of Virtualized Networks with Multipath Data Plane. CLUSTER (2022)
Kai Wang, Fang Dong, Dian Shen, Chengtian Zhang, Jinghui Zhang, Junzhou Luo
Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications. CSCWD (2021)
Jiange Li, Yuchen Wang, Jinghui Zhang, Jiahui Jin, Fang Dong, Lei Qian
PipePar: A Pipelined Hybrid Parallel Approach for Accelerating Distributed DNN Training. CSCWD (2021)
Zhaowu Huang, Fang Dong, Dian Shen, Junxue Zhang, Huitian Wang, Guangxing Cai, Qiang He
Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild. ICDCS (2021)
Mingxuan Yang, Fang Dong, Dian Shen, Yi Zhai, Ciyuan Chen
A CPU Load-awared Virtual Router Placement Strategy in Cloud Network. CSCWD (2021)
Fang Dong, Jianming Yong, Xiang Fei
Emerging intelligent big data analytics for cloud and edge computing. Concurr. Comput. Pract. Exp. 32 (23) (2020)
Jiuxin Cao, Zhuo Ma, Jue Xie, Xiangying Zhu, Fang Dong, Bo Liu
Towards tenant demand-aware bandwidth allocation strategy in cloud datacenter. Future Gener. Comput. Syst. 105 (2020)
Fang Dong, Junzhou Luo, Jiahui Jin, Jiyuan Shi, Ye Yang, Jun Shen
Accelerating Skycube Computation with Partial and Parallel Processing for Service Selection. IEEE Trans. Serv. Comput. 13 (6) (2020)
Dian Shen, Junzhou Luo, Fang Dong, Jiahui Jin, Junxue Zhang, Jun Shen
Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information. IEEE Trans. Serv. Comput. 13 (2) (2020)
Zhuqing Xu, Junzhou Luo, Zhimeng Yin, Tian He, Fang Dong
S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN. INFOCOM (2020)
Dian Shen, Junzhou Luo, Fang Dong, Xiaolin Guo, Kai Wang, John C. S. Lui
Distributed and Optimal RDMA Resource Scheduling in Shared Data Center Networks. INFOCOM (2020)
Dian Shen, Haoyang Liu, Rui Wang, Fang Dong, Fucun Li
ParaGraph: Subgraph-Level Network Function Composition With Delay Balanced Parallelism. IEEE Access 8 (2020)
Fang Dong, Chenshu Wu, Shangce Gao
Cloud computing-based big data processing and intelligent analytics. Concurr. Comput. Pract. Exp. 31 (24) (2019)
Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Fang Dong, Lixin Gao
GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs. World Wide Web 22 (4) (2019)
Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun
Towards a General Prediction System for the Primary Delay in Urban Railways. ITSC (2019)
Rui Wang, Junzhou Luo, Fang Dong, Dian Shen
ParaNF: Enabling Delay-Balanced Network Function Parallelism in NFV. CSCWD (2019)
Geng Sun, Tingru Cui, Fang Dong, Dongming Xu, Jun Shen, Shiping Chen, Jiayin Lin
(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners. IEEE CLOUD (2018)
Feng Shan, Junzhou Luo, Weiwei Wu, Fang Dong, Xiaojun Shen
Throughput Maximization for the Wireless Powered Communication in Green Cities. IEEE Trans. Ind. Informatics 14 (6) (2018)
Jiyuan Shi, Junzhou Luo, Fang Dong, Jiahui Jin, Jun Shen
Fast multi-resource allocation with patterns in large scale cloud data center. J. Comput. Sci. 26 (2018)
Yunhao Li, Junzhou Luo, Jiahui Jin, Runqun Xiong, Fang Dong
An Effective Model for Edge-Side Collaborative Storage in Data-Intensive Edge Computing. CSCWD (2018)
Fang Dong, Jun Shen, Qiang He
Advances in cloud computing and big data analytics. Concurr. Comput. Pract. Exp. 30 (20) (2018)
Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. IEEE BigData (2018)
Jiahui Jin, Aibo Song, Huan Gong, Yingying Xue, Mingyang Du, Fang Dong, Junzhou Luo
Distributed storage system for electric power data based on Hbase. Big Data Min. Anal. 1 (4) (2018)
Fang Dong, Junxue Zhang, Junzhou Luo, Dian Shen, Jiahui Jin
Enabling application-aware flexible graph partition mechanism for parallel graph processing systems. Concurr. Comput. Pract. Exp. 29 (6) (2017)
Huanhuan Zhang, Fang Dong, Dian Shen, Runqun Xiong, Jiahui Jin
Virtual network fault diagnosis mechanism based on fault injection. CSCWD (2017)
Fang Dong, Pengcheng Zhou, Zijian Liu, Dian Shen, Zhuqing Xu, Junzhou Luo
Towards a fast and secure design for enterprise-oriented cloud storage systems. Concurr. Comput. Pract. Exp. 29 (19) (2017)
Zhen Du, Zhuging Xu, Fang Dong, Dian Shen
A Novel Solution of Cloud Operating System Based on X11 and Docker. CBD (2017)
Fang Dong, Jun Shen
New trends and innovative methods in cloud computing and big data. Concurr. Comput. Pract. Exp. 29 (19) (2017)
Fang Dong, Junzhou Luo
Recent advances in big data analysis and application. Concurr. Comput. Pract. Exp. 29 (6) (2017)
Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen
GScheduler: Optimizing resource provision by using GPU usage pattern extraction in cloud environments. SMC (2017)
Zijian Liu, Fang Dong, Junxue Zhang, Pengcheng Zhou, Zhuqing Xu, Junzhou Luo
A client-side directory prefetching mechanism for GlusterFS. SMC (2016)
Jiyuan Shi, Fang Dong, Jinghui Zhang, Jiahui Jin, Junzhou Luo
Resource provisioning optimization for service hosting on cloud platform. CSCWD (2016)
Dian Shen, Junzhou Luo, Fang Dong, Junxue Zhang
AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment. ICPP (2016)
Pengcheng Zhou, Fang Dong, Zhuqing Xu, Junxue Zhang, Runqun Xiong, Junzhou Luo
ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS. CBD (2016)
Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang, Junxue Zhang
Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. Clust. Comput. 19 (1) (2016)
Jiyuan Shi, Fang Dong, Jinghui Zhang, Junzhou Luo, Ding Ding
Two-Phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center. SMC (2015)
Jinghui Zhang, Mingjun Wang, Junzhou Luo, Fang Dong, Junxue Zhang
Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment. Concurr. Comput. Pract. Exp. 27 (18) (2015)
Dian Shen, Junzhou Luo, Fang Dong, Xiang Fei, Wei Wang, Guoqing Jin, Weidong Li
Stochastic modeling of dynamic right-sizing for energy-efficiency in cloud data centers. Future Gener. Comput. Syst. 48 (2015)
Runqun Xiong, Junzhou Luo, Fang Dong
Optimizing data placement in heterogeneous Hadoop clusters. Clust. Comput. 18 (4) (2015)
Ye Yang, Fang Dong, Junzhou Luo
Computing service Skyeube for web service selection. CSCWD (2015)
Junxue Zhang, Fang Dong, Dian Shen, Jiahui Jin, Junzhou Luo
Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph. CBD (2015)
Jinghui Zhang, Junzhou Luo, Fang Dong
Scientific workflow scheduling in non-dedicated heterogeneous multicluster with advance reservations. Integr. Comput. Aided Eng. 22 (3) (2015)
Mingjun Wang, Jinghui Zhang, Fang Dong, Junzhou Luo
Data Placement and Task Scheduling Optimization for Data Intensive Scientific Workflow in Multiple Data Centers Environment. CBD (2014)
Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang
A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud. CSCWD (2014)
Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong
OATS: online aggregation with two-level sharing strategy in cloud. Distributed Parallel Databases 32 (4) (2014)
Dian Shen, Fang Dong, Junxue Zhang, Junzhou Luo
Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers. HPCC/CSS/ICESS (2014)
Junxue Zhang, Fang Dong, Dian Shen, Junzhou Luo
Game theory based dynamic resource allocation for hybrid environment with cloud and big data application. SMC (2014)
Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong
A Sampling-Based Hybrid Approximate Query Processing System in the Cloud. ICPP (2014)
Runqun Xiong, Junzhou Luo, Fang Dong
SLDP: A Novel Data Placement Strategy for Large-Scale Heterogeneous Hadoop Cluster. CBD (2014)
Fang Dong, Junzhou Luo, Bo Liu
A Performance Fluctuation-Aware Stochastic Scheduling Mechanism for Workflow Applications in Cloud Environment. IEICE Trans. Inf. Syst. (10) (2014)
Ding Ding, Fang Dong, Junzhou Luo
Multi-Q: Multiple Queries Optimization Based on MapReduce in Cloud. CBD (2014)
Jinghui Zhang, Junzhou Luo, Fang Dong
Scheduling of scientific workflow in non-dedicated heterogeneous multicluster platform. J. Syst. Softw. 86 (7) (2013)
Jinghui Zhang, Junzhou Luo, Fang Dong
Scheduling Parallel Task Graphs on non-dedicated heterogeneous multicluster platform with Moldable Task Duplication. CSCWD (2013)
Miao Chen, Fang Dong, Junzhou Luo
Dynamic Resource Management in a HPC and Cloud Hybrid Environment. ICA3PP (1) (2013)
Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong
Cost and Time Aware Ant Colony Algorithm for Data Replica in Alpha Magnetic Spectrometer Experiment. BigData Congress (2013)
Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen
A Personalized Hybrid Recommendation System Oriented to E-Commerce Mass Data in the Cloud. SMC (2013)
Lijuan Wang, Jun Shen, Junzhou Luo, Fang Dong
An Improved Genetic Algorithm for Cost-Effective Data-Intensive Service Composition. SKG (2013)
Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong
Partition-Based Online Aggregation with Shared Sampling in the Cloud. J. Comput. Sci. Technol. 28 (6) (2013)
Dian Shen, Fang Dong, Junzhou Luo, Wei Wang, Xiang Fei, Guoqing Jin, Weidong Li
Doing Better Business: Trading a Little Execution Time for High Energy Saving under SLA Constraints. ICEBE (2013)
Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen
An effective data aggregation based adaptive long term CPU load prediction mechanism on computational grid. Future Gener. Comput. Syst. 28 (7) (2012)
Fang Dong, Junzhou Luo, Jiahui Jin, Yanhao Wang, Yanmin Zhu
Performance evaluation and analysis of SEU Cloud Computing Platform - Using general benchmarks and real world AMS application. SMC (2012)
Wei Wang, Junzhou Luo, Aibo Song, Fang Dong
Heterogeneity-Aware Optimal Power Allocation in Data Center Environments. ICPCA/SWS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fang Dong