Measurement Model of Grid QoS and Multi-dimensional QoS Scheduling. - Zhiang Wu 001; Junzhou Luo; Fang Dong 001 (CSCWD (Selected Papers), 2006)

A Grid Task Scheduling Algorithm Based on QoS Priority Grouping. - Fang Dong 001; Junzhou Luo; Lisha Gao; Liang Ge (GCC, 2006)

QoS Matching Offset Oriented Resource Clustering Scheduling Algorithm in Grid Environment. - Fang Dong 001; Junzhou Luo (CSCWD, 2007)

QoS Deviation Distance Based Negotiation Algorithm in Grid Resource Advance Reservation. - Zhiang Wu 001; Junzhou Luo; Fang Dong 001; Xudong Ni (CSCWD, 2007)

Data Aggregation based Adaptive Long term load Prediction mechanism in Grid environment. - Fang Dong 001; Junzhou Luo; Jinhui Zhang; Aibo Song; Jiuxin Cao (CSCWD, 2010)

SLA-Based Resource Co-Allocation in Multi-Cluster Grid. - Wei Wang 089; Junzhou Luo; Aibo Song; Fang Dong 001 (GLOBECOM, 2010)

Resource Load Based Stochastic DAGs Scheduling Mechanism for Grid Environment. - Fang Dong 001; Junzhou Luo; Aibo Song; Jiahui Jin (HPCC, 2010)

A context-aware personalized resource recommendation for pervasive learning. - Junzhou Luo; Fang Dong 001; Jiuxin Cao; Aibo Song (Clust. Comput., 2010)

A novel task scheduling algorithm based on dynamic critical path and effective duplication for pervasive computing environment. - Junzhou Luo; Fang Dong 001; Jiuxin Cao; Aibo Song (Wirel. Commun. Mob. Comput., 2010)

Multi-Agent Coordination for Service Composition. - Junzhou Luo; Wei Li 017; Bo Liu 004; Xiao Zheng; Fang Dong 001 (Agent-Based Service-Oriented Computing, 2010)

BAR: An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing. - Jiahui Jin; Junzhou Luo; Aibo Song; Fang Dong 001; Runqun Xiong (CCGRID, 2011)

Load-aware based adaptive rescheduling mechanism for workflow application. - Fang Dong 001; Junzhou Luo; Aibo Song; Jiuxin Cao (CSCWD, 2011)

Social Attribute Based Web Service Information Publication Mechanism in Delay Tolerant Network. - Jiuxin Cao; Liu Yang; Xiao Zheng; Bo Liu 004; Lei Zhao; Xudong Ni; Fang Dong 001; Bo Mao (CSE, 2011)

QoS Preference-Aware Replica Selection Strategy Using MapReduce-Based PGA in Data Grids. - Runqun Xiong; Junzhou Luo; Aibo Song; Bo Liu 004; Fang Dong 001 (ICPP, 2011)

Improving Online Aggregation Performance for Skewed Data Distribution. - Yuxiang Wang 001; Junzhou Luo; Aibo Song; Jiahui Jin; Fang Dong 001 (DASFAA (1), 2012)

Heterogeneity-Aware Optimal Power Allocation in Data Center Environments. - Wei Wang 089; Junzhou Luo; Aibo Song; Fang Dong 001 (ICPCA/SWS, 2012)

TASS: Transaction Assurance in Service Selection. - Jiuxin Cao; Gongrui Zhu; Xiao Zheng; Bo Liu 004; Fang Dong 001 (ICWS, 2012)

Performance evaluation and analysis of SEU Cloud Computing Platform - Using general benchmarks and real world AMS application. - Fang Dong 001; Junzhou Luo; Jiahui Jin; Yanhao Wang; Yanmin Zhu (SMC, 2012)

An effective data aggregation based adaptive long term CPU load prediction mechanism on computational grid. - Fang Dong 001; Junzhou Luo; Aibo Song; Jiuxin Cao; Jun Shen 001 (Future Gener. Comput. Syst., 2012)

Cost and Time Aware Ant Colony Algorithm for Data Replica in Alpha Magnetic Spectrometer Experiment. - Lijuan Wang; Junzhou Luo; Jun Shen 001; Fang Dong 001 (BigData Congress, 2013)

Scheduling Parallel Task Graphs on non-dedicated heterogeneous multicluster platform with Moldable Task Duplication. - Jinghui Zhang; Junzhou Luo; Fang Dong 001 (CSCWD, 2013)

Dynamic Resource Management in a HPC and Cloud Hybrid Environment. - Miao Chen; Fang Dong 001; Junzhou Luo (ICA3PP (1), 2013)

Doing Better Business: Trading a Little Execution Time for High Energy Saving under SLA Constraints. - Dian Shen; Fang Dong 001; Junzhou Luo; Wei Wang 089; Xiang Fei; Guoqing Jin; Weidong Li 001 (ICEBE, 2013)

An Improved Genetic Algorithm for Cost-Effective Data-Intensive Service Composition. - Lijuan Wang; Jun Shen 001; Junzhou Luo; Fang Dong 001 (SKG, 2013)

A Personalized Hybrid Recommendation System Oriented to E-Commerce Mass Data in the Cloud. - Fang Dong 001; Junzhou Luo; Xia Zhu; Yuxiang Wang 001; Jun Shen 001 (SMC, 2013)

Partition-Based Online Aggregation with Shared Sampling in the Cloud. - Yuxiang Wang 001; Junzhou Luo; Aibo Song; Fang Dong 001 (J. Comput. Sci. Technol., 2013)

Scheduling of scientific workflow in non-dedicated heterogeneous multicluster platform. - Jinghui Zhang; Junzhou Luo; Fang Dong 001 (J. Syst. Softw., 2013)

Multi-Q: Multiple Queries Optimization Based on MapReduce in Cloud. - Ding Ding 002; Fang Dong 001; Junzhou Luo (CBD, 2014)

Data Placement and Task Scheduling Optimization for Data Intensive Scientific Workflow in Multiple Data Centers Environment. - Mingjun Wang; Jinghui Zhang; Fang Dong 001; Junzhou Luo (CBD, 2014)

SLDP: A Novel Data Placement Strategy for Large-Scale Heterogeneous Hadoop Cluster. - Runqun Xiong; Junzhou Luo; Fang Dong 001 (CBD, 2014)

A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud. - Jiyuan Shi; Junzhou Luo; Fang Dong 001; Jinghui Zhang (CSCWD, 2014)

Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers. - Dian Shen; Fang Dong 001; Junxue Zhang 001; Junzhou Luo (HPCC/CSS/ICESS, 2014)

A Sampling-Based Hybrid Approximate Query Processing System in the Cloud. - Yuxiang Wang 001; Junzhou Luo; Aibo Song; Fang Dong 001 (ICPP, 2014)

Game theory based dynamic resource allocation for hybrid environment with cloud and big data application. - Junxue Zhang 001; Fang Dong 001; Dian Shen; Junzhou Luo (SMC, 2014)

OATS: online aggregation with two-level sharing strategy in cloud. - Yuxiang Wang 001; Junzhou Luo; Aibo Song; Fang Dong 001 (Distributed Parallel Databases, 2014)

A Performance Fluctuation-Aware Stochastic Scheduling Mechanism for Workflow Applications in Cloud Environment. - Fang Dong 001; Junzhou Luo; Bo Liu 004 (IEICE Trans. Inf. Syst., 2014)

Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph. - Junxue Zhang 001; Fang Dong 001; Dian Shen; Jiahui Jin; Junzhou Luo (CBD, 2015)

Computing service Skyeube for web service selection. - Ye Yang; Fang Dong 001; Junzhou Luo (CSCWD, 2015)

Two-Phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center. - Jiyuan Shi; Fang Dong 001; Jinghui Zhang; Junzhou Luo; Ding Ding 002 (SMC, 2015)

Optimizing data placement in heterogeneous Hadoop clusters. - Runqun Xiong; Junzhou Luo; Fang Dong 001 (Clust. Comput., 2015)

Entropy-based denial-of-service attack detection in cloud data center. - Jiuxin Cao; Bin Yu; Fang Dong 001; Xiangying Zhu; Shuai Xu (Concurr. Comput. Pract. Exp., 2015)

Towards optimized scheduling for data-intensive scientific workflow in multiple datacenter environment. - Jinghui Zhang; Mingjun Wang; Junzhou Luo; Fang Dong 001; Junxue Zhang 001 (Concurr. Comput. Pract. Exp., 2015)

Stochastic modeling of dynamic right-sizing for energy-efficiency in cloud data centers. - Dian Shen; Junzhou Luo; Fang Dong 001; Xiang Fei; Wei Wang 089; Guoqing Jin; Weidong Li 001 (Future Gener. Comput. Syst., 2015)

Scientific workflow scheduling in non-dedicated heterogeneous multicluster with advance reservations. - Jinghui Zhang; Junzhou Luo; Fang Dong 001 (Integr. Comput. Aided Eng., 2015)

Time Series Based Bandwidth Allocation Strategy in Cloud Datacenter. - Jiuxin Cao; Xiangying Zhu; Fang Dong 001; Bo Liu 004; Zhuo Ma 002; Huiyu Min (CBD, 2016)

ECStor: A Flexible Enterprise-Oriented Cloud Storage System Based on GlusterFS. - Pengcheng Zhou; Fang Dong 001; Zhuqing Xu; Junxue Zhang 001; Runqun Xiong; Junzhou Luo (CBD, 2016)

Resource provisioning optimization for service hosting on cloud platform. - Jiyuan Shi; Fang Dong 001; Jinghui Zhang; Jiahui Jin; Junzhou Luo (CSCWD, 2016)

AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment. - Dian Shen; Junzhou Luo; Fang Dong 001; Junxue Zhang 001 (ICPP, 2016)

A client-side directory prefetching mechanism for GlusterFS. - Zijian Liu; Fang Dong 001; Junxue Zhang 001; Pengcheng Zhou; Zhuqing Xu; Junzhou Luo (SMC, 2016)

Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. - Jiyuan Shi; Junzhou Luo; Fang Dong 001; Jinghui Zhang; Junxue Zhang 001 (Clust. Comput., 2016)

A Novel Solution of Cloud Operating System Based on X11 and Docker. - Zhen Du; Zhuging Xu; Fang Dong 001; Dian Shen (CBD, 2017)

Virtual network fault diagnosis mechanism based on fault injection. - Huanhuan Zhang; Fang Dong 001; Dian Shen; Runqun Xiong; Jiahui Jin (CSCWD, 2017)

GScheduler: Optimizing resource provision by using GPU usage pattern extraction in cloud environments. - Zhuqing Xu; Fang Dong 001; Jiahui Jin; Junzhou Luo; Jun Shen 001 (SMC, 2017)

Recent advances in big data analysis and application. - Fang Dong 001; Junzhou Luo (Concurr. Comput. Pract. Exp., 2017)

New trends and innovative methods in cloud computing and big data. - Fang Dong 001; Jun Shen 001 (Concurr. Comput. Pract. Exp., 2017)

Enabling application-aware flexible graph partition mechanism for parallel graph processing systems. - Fang Dong 001; Junxue Zhang 001; Junzhou Luo; Dian Shen; Jiahui Jin (Concurr. Comput. Pract. Exp., 2017)

Towards a fast and secure design for enterprise-oriented cloud storage systems. - Fang Dong 001; Pengcheng Zhou; Zijian Liu; Dian Shen; Zhuqing Xu; Junzhou Luo (Concurr. Comput. Pract. Exp., 2017)

(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners. - Geng Sun 002; Tingru Cui; Fang Dong 001; Dongming Xu; Jun Shen 001; Shiping Chen 001; Jiayin Lin (IEEE CLOUD, 2018)

Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. - Fucun Li; Jianqing Wu 002; Fang Dong 001; Jiayin Lin; Geng Sun 002; Huaming Chen; Jun Shen 001 (IEEE BigData, 2018)

An Effective Model for Edge-Side Collaborative Storage in Data-Intensive Edge Computing. - Yunhao Li; Junzhou Luo; Jiahui Jin; Runqun Xiong; Fang Dong 001 (CSCWD, 2018)

Distributed storage system for electric power data based on Hbase. - Jiahui Jin; Aibo Song; Huan Gong; Yingying Xue; Mingyang Du; Fang Dong 001; Junzhou Luo (Big Data Min. Anal., 2018)

Advances in cloud computing and big data analytics. - Fang Dong 001; Jun Shen 001; Qiang He 001 (Concurr. Comput. Pract. Exp., 2018)

Fast multi-resource allocation with patterns in large scale cloud data center. - Jiyuan Shi; Junzhou Luo; Fang Dong 001; Jiahui Jin; Jun Shen 001 (J. Comput. Sci., 2018)

Throughput Maximization for the Wireless Powered Communication in Green Cities. - Feng Shan; Junzhou Luo; Weiwei Wu 001; Fang Dong 001; Xiaojun Shen 002 (IEEE Trans. Ind. Informatics, 2018)

ParaNF: Enabling Delay-Balanced Network Function Parallelism in NFV. - Rui Wang; Junzhou Luo; Fang Dong 001; Dian Shen (CSCWD, 2019)

ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment. - Huitian Wang; Guangxing Cai; Zhaowu Huang; Fang Dong 001 (ICPADS, 2019)

Towards a General Prediction System for the Primary Delay in Urban Railways. - Jianqing Wu 002; Luping Zhou; Chen Cai; Fang Dong 001; Jun Shen 001; Geng Sun 002 (ITSC, 2019)

Cloud computing-based big data processing and intelligent analytics. - Fang Dong 001; Chenshu Wu; Shangce Gao (Concurr. Comput. Pract. Exp., 2019)

GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs. - Jiahui Jin; Junzhou Luo; Samamon Khemmarat; Fang Dong 001; Lixin Gao 001 (World Wide Web, 2019)

Distributed and Optimal RDMA Resource Scheduling in Shared Data Center Networks. - Dian Shen; Junzhou Luo; Fang Dong 001; Xiaolin Guo; Kai Wang; John C. S. Lui (INFOCOM, 2020)

S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN. - Zhuqing Xu; Junzhou Luo; Zhimeng Yin 001; Tian He 001; Fang Dong 001 (INFOCOM, 2020)

ParaGraph: Subgraph-Level Network Function Composition With Delay Balanced Parallelism. - Dian Shen; Haoyang Liu; Rui Wang; Fang Dong 001; Fucun Li (IEEE Access, 2020)

Emerging intelligent big data analytics for cloud and edge computing. - Fang Dong 001; Jianming Yong; Xiang Fei (Concurr. Comput. Pract. Exp., 2020)

Towards tenant demand-aware bandwidth allocation strategy in cloud datacenter. - Jiuxin Cao; Zhuo Ma 002; Jue Xie; Xiangying Zhu; Fang Dong 001; Bo Liu 004 (Future Gener. Comput. Syst., 2020)

Accelerating Skycube Computation with Partial and Parallel Processing for Service Selection. - Fang Dong 001; Junzhou Luo; Jiahui Jin; Jiyuan Shi; Ye Yang; Jun Shen 001 (IEEE Trans. Serv. Comput., 2020)

Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information. - Dian Shen; Junzhou Luo; Fang Dong 001; Jiahui Jin; Junxue Zhang 001; Jun Shen 001 (IEEE Trans. Serv. Comput., 2020)

Accelerating Multi-Object Tracking in Edge Computing Environment with Time-Spatial Optimization. - Mengyang Liu; Anran Tang; Huitian Wang; Lin Shen; Yun-Han Chang; Guangxing Cai; Daheng Yin; Fang Dong 001; Wei Zhao 023 (CBD, 2021)

Flow Characteristics Estimation Based On Multilayer Virtual Active Counter Sharing in Data Center Network. - Shiqi Wang 019; Fang Dong 001; Dian Shen; Wei Zhao 023 (CBD, 2021)

PipePar: A Pipelined Hybrid Parallel Approach for Accelerating Distributed DNN Training. - Jiange Li; Yuchen Wang; Jinghui Zhang; Jiahui Jin; Fang Dong 001; Lei Qian (CSCWD, 2021)

Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications. - Kai Wang; Fang Dong 001; Dian Shen; Chengtian Zhang; Jinghui Zhang; Junzhou Luo (CSCWD, 2021)

A CPU Load-awared Virtual Router Placement Strategy in Cloud Network. - Mingxuan Yang; Fang Dong 001; Dian Shen; Yi Zhai; Ciyuan Chen (CSCWD, 2021)

Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild. - Zhaowu Huang; Fang Dong 001; Dian Shen; Junxue Zhang 001; Huitian Wang; Guangxing Cai; Qiang He 001 (ICDCS, 2021)

Dynamic Path Based DNN Synergistic Inference Acceleration in Edge Computing Environment. - Meng Zhou; Bowen Zhou; Huitian Wang; Fang Dong 001; Wei Zhao 023 (ICPADS, 2021)

A Kubernetes-Oriented Edge Network Orchestrator for Heterogeneous Environment. - Chenyu Lu; Zhaowu Huang; Caishan Weng; Feng Jiao; Xiaolin Guo; Fang Dong 001 (CBD, 2022)

ColorByte: A real time MOT method using fast appearance feature based on ByteTrack. - Lin Shen; Mengyang Liu; Caishan Weng; Jinghui Zhang; Fang Dong 001; Fa Zheng (CBD, 2022)

Last-mile Matters: Mitigating the Tail Latency of Virtualized Networks with Multipath Data Plane. - Dian Shen; Yi Zhai; Fang Dong 001; Junzhou Luo (CLUSTER, 2022)

Federated Learning Client Selection Mechanism Under System and Data Heterogeneity. - Fan Xin; Jinghui Zhang; Junzhou Luo; Fang Dong 001 (CSCWD, 2022)

Towards the Full Extensibility of Multipath TCP with eMPTCP. - Bin Yang 027; Dian Shen; Junxue Zhang 001; Fang Dong 001; Junzhou Luo; John C. S. Lui (ICNP, 2022)

Enabling Latency-Sensitive DNN Inference via Joint Optimization of Model Surgery and Resource Allocation in Heterogeneous Edge. - Zhaowu Huang; Fang Dong 001; Dian Shen; Huitian Wang; Xiaolin Guo; Shucun Fu (ICPP, 2022)

Formulating Interference-aware Data Delivery Strategies in Edge Storage Systems. - Xiaoyu Xia 001; Feifei Chen 001; Qiang He 001; Guangming Cui; John C. Grundy; Mohamed Almorsy Abdelrazek; Fang Dong 001 (ICPP, 2022)

Exploiting the Computational Path Diversity with In-network Computing for MEC. - Xiaolin Guo; Fang Dong 001; Dian Shen; Zhaowu Huang; Zhenyang Ni; Yulong Jiang; Daheng Yin (SECON, 2022)

Edge-Computing-Based Intelligent IoT: Architectures, Algorithms and Applications. - Xiao Liu 004; Jiong Jin; Fang Dong 001 (Sensors, 2022)

Enabling Adaptive Task Dispatching for Real-time Video Analytics in Uncertain Edge Environments. - Xiaolin Guo; Zhaowu Huang; Fan Sun; Fang Dong 001 (ACM TUR-C, 2023)

APFed: Attention-based Personalized Federated Learning in Model Heterogeneity Scenario. - Bowen Zhou; Jiangshan Hao; Shucun Fu; Wei Wang 089; Siyu Tan; Fang Dong 001 (ACM TUR-C, 2023)

SpringNet: Enhancing Hardware-Dependent Model Adaptation through Efficient Cost Prediction. - Guangtong Li; Mengyang Liu; Ye Wan; Fang Dong 001 (CBD, 2023)

High-efficient Joinable Tables Discovery in Data Lakes: A Grey Relational Model-based Approach. - Zefan Yu; Runqun Xiong; Fang Dong 001; Zhiang Wu 001 (CBD, 2023)

HyperRTV: Neural-Enhanced Adaptive Real-Time Video Streaming Based on Terminal-Edge Collaboration. - Baijun Chen; Daheng Yin; Lifei Teng; Fang Dong 001 (CSCWD, 2023)

Accelerate Multi-view Inference with End-edge Collaborative Computing. - Wangbing Cheng; MinFeng Zhang; Fang Dong 001; Shucun Fu (CSCWD, 2023)

MIA-FedDL: A Membership Inference Attack against Federated Distillation Learning. - Siqi Liu; Fang Dong 001 (CSCWD, 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; Fang Dong 001; Peng Wang; Zhengang Wang (CSCWD, 2023)

Joint Optimization of Task Offloading and Resource Allocation for Edge Video Analytics. - Zhenxuan Xu; Yunzhou Xie; Fang Dong 001; Shucun Fu; Jiangshan Hao (CSCWD, 2023)

CoCV: Heterogeneous Processors Collaboration Mechanism for End-to-End Execution of Intelligent Computer Vision Tasks on Mobile Devices. - Ye Wan; Mengyang Liu; Guangtong Li; Fang Dong 001 (ICPADS, 2023)

Adaptive Overlap Padding and Resolution Selection for Frame Split-based Edge Video Analytics. - Haopeng Zhu; Zhaowu Huang; Xiaolin Guo; Mengyang Liu; Baijun Chen; Fang Dong 001 (ICPADS, 2023)

ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks. - Jieling Yu; Ruiting Zhou; Chen Chen 067; Bo Li 001; Fang Dong 001 (ICPP, 2023)

WAEVSR: Enabling Collaborative Live Video Super-Resolution in Wide-Area MEC Environment. - Daheng Yin; Fang Dong 001; Baijun Chen; Dian Shen; Ruiting Zhou; Xiaolin Guo; Zhaowu Huang (IWQoS, 2023)

ROIAdaptor: Adaptive Task Offloading of ROI-Encoded Videos for Edge Video Analytics. - Zhenxuan Xu; Xiaolin Guo; Zhaowu Huang; Shucun Fu; Fang Dong 001 (MSN, 2023)

Joint Quality Evaluation, Model Splitting and Resource Provisioning for Split Edge Learning. - Shucun Fu; Fang Dong 001; Dian Shen; Qiang He 001 (SECON, 2023)

Label Information Enhanced Fraud Detection against Low Homophily in Graphs. - Yuchen Wang; Jinghui Zhang; Zhengjie Huang; Weibin Li; Shikun Feng; Ziheng Ma; Yu Sun 029; Dianhai Yu; Fang Dong 001; Jiahui Jin; Beilun Wang; Junzhou Luo (WWW, 2023)

Deep-Reinforcement-Learning-Based Production Scheduling in Industrial Internet of Things. - Zihui Luo; Chengling Jiang; Liang Liu 001; Xiaolong Zheng 002; Huadong Ma; Fang Dong 001; Fucun Li (IEEE Internet Things J., 2023)

PADP-FedMeta: A personalized and adaptive differentially private federated meta learning mechanism for AIoT. - Fang Dong 001; Xinghua Ge; Qinya Li; Jinghui Zhang; Dian Shen; Siqi Liu; Xiao Liu 004; Gang Li 009; Fan Wu 006; Junzhou Luo (J. Syst. Archit., 2023)

OL-EUA: Online User Allocation for NOMA-Based Mobile Edge Computing. - Guangming Cui; Qiang He 001; Xiaoyu Xia 001; Feifei Chen 001; Fang Dong 001; Hai Jin 001; Yun Yang 001 (IEEE Trans. Mob. Comput., 2023)

Editorial for Resource Management at the Edge for Future web, Mobile, and IoT Applications. - Qiang He 001; Fang Dong 001; Chenshu Wu; Yun Yang 001 (World Wide Web (WWW), 2023)

Noise-aware Local Model Training Mechanism for Federated Learning. - Jinghui Zhang; Dingyang Lv; Qiangsheng Dai; Fa Xin; Fang Dong 001 (ACM Trans. Intell. Syst. Technol., 2023)

DeepMetricCorr: Fast flow correlation for data center networks with deep metric learning. - Zunyi Liu; Dian Shen; Jiaang Bao; Fang Dong 001; Jiong You (Comput. Networks, 2023)

Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. - Fang Dong 001; Huitian Wang; Dian Shen; Zhaowu Huang; Qiang He 001; Jinghui Zhang; Liangsheng Wen; Tingting Zhang (IEEE Trans. Mob. Comput., 2023)

PipePar: Enabling fast DNN pipeline parallel training in heterogeneous GPU clusters. - Jinghui Zhang; Geng Niu; Qiangsheng Dai; Haorui Li; Zhihua Wu; Fang Dong 001; Zhiang Wu 001 (Neurocomputing, 2023)

Simulation-based joint user assignment and edge resource allocation optimization for hybrid tasks in vehicular edge computing. - Jinghui Zhang; Yizhou Tang; Jiawei Wang; Dingyang Lv; Liqun Zhu; Fang Dong 001 (Simul. Model. Pract. Theory, 2023)

Energy-Efficient General PoI-Visiting by UAV With a Practical Flight Energy Model. - Feng Shan; Jianping Huang; Runqun Xiong; Fang Dong 001; Junzhou Luo; Suyang Wang (IEEE Trans. Mob. Comput., 2023)

Multi-exit DNN inference acceleration for intelligent terminal with heterogeneous processors. - Jinghui Zhang; Weilong Xin; Dingyang Lv; Jiawei Wang; Guangxing Cai; Fang Dong 001 (Sustain. Comput. Informatics Syst., 2023)

Enabling Distributed and Optimal RDMA Resource Sharing in Large-Scale Data Center Networks: Modeling, Analysis, and Implementation. - Dian Shen; Junzhou Luo; Fang Dong 001; Xiaolin Guo; Ciyuan Chen; Kai Wang; John C. S. Lui (IEEE/ACM Trans. Netw., 2023)

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. - Jinghui Zhang; Zhengjia Xu; Dingyang Lv; Zhan Shi; Dian Shen; Jiahui Jin; Fang Dong 001 (AAAI, 2024)

Predicting Mechanical Properties of Steel Based on Ensemble Learning and Bayesian Optimization. - Suyang Wang; Qingqi Zhu; Jiangshan Haol; Fang Wang; Fucun Li; Guizhou Zhao; Fang Dong 001 (CBD, 2024)

Future Blink Prediction in Virtual Reality Using Time-Series Eye Movement Data. - Wenjie Zhang; Ding Ding 002; Jinghui Zhang; Runqun Xiong; Jiahui Jin; Fang Dong 001; Xiangyu Xu 001; Kai Dong 002 (CBD, 2024)

HASFL: Harnessing Heterogeneous Models Across Diverse Devices for Enhanced Federated Learning. - Jiangshan Hao; Fang Dong 001; Bingheng Cen; Shucun Fu; Ruiting Zhou; Ding Ding 002 (ICPP, 2024)

FSVFG: Towards Immersive Full-Scene Volumetric Video Streaming with Adaptive Feature Grid. - Daheng Yin; Jianxin Shi; Miao Zhang 003; Zhaowu Huang; Jiangchuan Liu; Fang Dong 001 (ACM Multimedia, 2024)

Privacy-preserving model splitting and quality-aware device association for federated edge learning. - Shucun Fu; Fang Dong 001; Dian Shen; Tianyang Lu (Softw. Pract. Exp., 2024)

Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation. - Jinghui Zhang; Dian Shen; Fang Dong 001; Kexi Kang; Jiahui Jin; Junzhou Luo; Junxue Zhang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning. - Shucun Fu; Fang Dong 001; Dian Shen; Jinghui Zhang; Zhaowu Huang; Qiang He 001 (IEEE Trans. Serv. Comput., 2024)

B2-Bandit: Budgeted Pricing With Blocking Constraints for Metaverse Crowdsensing Under Uncertainty. - Xiang Liu 014; Yifan Qin; Weiwei Wu 001; Chenchen Fu; Yan Lyu; Fang Dong 001; Junzhou Luo (IEEE J. Sel. Areas Commun., 2024)

Addressing Heterogeneity in Federated Learning with Client Selection via Submodular Optimization. - Jinghui Zhang; Jiawei Wang; Yaning Li; Fa Xin; Fang Dong 001; Junzhou Luo; Zhihua Wu (ACM Trans. Sens. Networks, 2024)

DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT. - Shucun Fu; Fang Dong 001; Dian Shen; Runze Chen; Jiangshan Hao (ACM Trans. Intell. Syst. Technol., 2024)

Optimal Harvest-Then-Transmit Scheduling for Throughput Maximization in Time-Varying RF Powered Systems. - Feng Shan; Junzhou Luo; Qiao Jin 003; Liwen Cao; Weiwei Wu 001; Zhen Ling 001; Fang Dong 001 (IEEE J. Sel. Areas Commun., 2024)

Imbalanced node classification with Graph Neural Networks: A unified approach leveraging homophily and label information. - Dingyang Lv; Zhengjia Xu; Jinghui Zhang; Yuchen Wang; Fang Dong 001 (Appl. Soft Comput., 2024)

eMPTCP: A Framework to Fully Extend Multipath TCP. - Dian Shen; Bin Yang 027; Junxue Zhang 001; Fang Dong 001; John C. S. Lui (IEEE/ACM Trans. Netw., 2024)

Bilateral Virtual Companions: The Impact of Virtual Humans' Movement and Voice Realism on User Perception and Experience in Multi-user VR Cinemas. - Jingfeng Hu; Ding Ding 002; Xiangyu Xu 001; Jinghui Zhang; Jiahui Jin; Fang Dong 001 (CSCWD, 2025)

FaSei: Fast Serverless Edge Inference with Synergistic Lazy Loading and Layer-wise Caching. - Zhaowu Huang; Fang Dong 001; Xiaolin Guo; Daheng Yin (INFOCOM, 2025)

CoCaR: Enabling Efficient Dynamic DNN-Based Model Caching and Request Routing in MEC. - Shuting Qiu; Fang Dong 001; Siyu Tan; Dian Shen; Ruiting Zhou; Qilin Fan (INFOCOM, 2025)

ADPTD: Adaptive Data Partition With Unbiased Task Dispatching for Video Analytics at the Edge. - Zhaowu Huang; Fang Dong 001; Haopeng Zhu; Mengyang Liu; Dian Shen; Ruiting Zhou; Xiaolin Guo; Baijun Chen (IEEE Internet Things J., 2025)

Resource-Efficient DNN Inference With Early Exiting in Serverless Edge Computing. - Xiaolin Guo; Fang Dong 001; Dian Shen; Zhaowu Huang; Jinghui Zhang (IEEE Trans. Mob. Comput., 2025)

Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning. - Shucun Fu; Fang Dong 001; Runze Chen; Dian Shen; Jinghui Zhang; Qiang He 001 (IEEE Trans. Mob. Comput., 2025)