博士、教授、博士生导师
研究方向: 云计算、边缘计算
邮箱: fdong@seu.edu.cn
电话: +86 25 5209 1016
传真: +86 25 5209 1016
地址: 江苏省南京市江宁区东南大学九龙湖校区计算机学院
邮编：211189
研究方向
边缘计算与边缘智能
深度学习执行优化
虚拟化资源管理
数据中心网络
面向工业互联网的智能云端协作
希望招募对云计算、边缘计算与边缘智能方向感兴趣的博士生和硕士生，欢迎希望从事相关领域研究工作的同学发送个人简历到我的邮箱（fdong@seu.edu.cn）。
主持/参与项目
- 国家自然基金重点项目“物联网智能感知与溯源方法”（62232004），294万（直接经费），2023年1月-2027年12月。主要参与人员。在研。
- 科技创新2030-“新一代人工智能”重大项目“元模型驱动的开放环境自适应感知”（2018AAA0100500）课题，164万，2019年12月-2022年11月。课题负责人。结题。
- 国家重点研发计划项目“面向工业互联网的智能云端协作关键技术及系统”（2017YFB1003000）子课题，103.5万，2017年10月-2021年10月。子课题负责人。结题。
- 国家自然科学基金面上项目“面向深度学习应用的边缘计算执行框架与优化机制研究”（61872079），64万（直接经费），2019年1月-2022年12月。项目负责人。结题。
- 国家自然基金重点项目“工业互联网体系结构及关键技术研究”（61632008），285万（直接经费），2017年1月-2021年12月。主要参与人员。结题。
- 安徽高校协同创新项目“工业互联网边缘智能计算平台及应用系统”课题，30万，2021年1月-2022年12月，课题负责人。在研。
- 中移动研究院合作课题“动态网络下边缘智能云边端协同任务调度技术研究”，2021年8月-2022年12月。项目负责人。结题。
- 国家自然科学基金面上项目“云环境下面向大规模图数据处理的资源优化机制研究”（61572129），64万（直接经费），2016年1月-2019年12月。项目负责人。结题。
- 国家自然科学基金国际合作项目“AMS大数据处理关键技术研究”（61320106007），290万，2014年1月-2018年12月。主要参与人员。结题（评为优秀）。
- 国家自然科学基金青年基金项目“云计算环境下面向科学工作流应用的弹性调度机制研究”（61202449），25万，2013年1月-2015年12月。项目负责人。结题。
-江苏省产学研前瞻性联合研究项目“面向电子商务的大数据存储与分析技术及其应用”（BY2013073-01），30万，2013年9月-2015年8月。项目负责人。结题。
-国家自然科学基金重大研究计划“以网络为基础的科学活动环境研究”中的重点项目“AMS数据计算环境应用示范”(90912002)，100万，2009年7月-2010年12月。主要参与人员。结题。
- 企业合作课题“数据中心网络VAS流串接算法研究”，2019年3月-2020年12月。项目负责人。已结题。
部分发表论文
- 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 Transactions on Services Computing, 17(1): 251-262, 2024.（CCF A类期刊）
- 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. Accept. （CCF A类会议）
- Xiang Liu, Yifan Qin, Weiwei Wu, Chenchen Fu, Yan Lyu, Fang Dong* and Luo Junzhou. B2-bandit: Budgeted Pricing with Blocking Constraints for Metaverse Crowdsensing under Uncertainty. IEEE Journal on Selected Areas in Communications, 2023. Accept.(CCF A 类期刊)
- 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. Accept.（CCF B 类会议）
- Shucun Fu, Fang Dong*, Dian Shen, Qiang He. Joint Quality Evaluation, Model Splitting and Resource Provisioning for Split Edge Learning. IEEE SECON 2023, Accept.（CCF B 类会议）
- Zunyi Liu, Dian Shen, Jiaang Bao, Fang Dong, Jiong You. DeepMetricCorr: Fast flow correlation for data center networks with deep metric learning. Computer Networks, 2023. Accept. (CCF B类期刊)
- Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, and Junzhou Luo. Label Information Enhanced Fraud Detection against Low Homophily in Graphs. ACM Web Conference 2023 (WWW '23)：406–416. （CCF A类会议）
- 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 Transactions on Network Science and Engineering, 2023. Accept. (JCR Q1)
- Jinghui Zhang, Dingyang Lv, Qiangsheng Dai, Fa Xin, Fang Dong*. Noise-aware Local Model Training Mechanism for Federated Learning. ACM Transactions on Intelligent Systems and Technology, 2023. Accept. (JCR Q1)
- 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. IEEE/ACM IWQoS 2023, Accept.（CCF B类会议）
- 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 Transactions on Networking, 31(6): 2745-2760, 2023.（CCF A类期刊）
- 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. Journal of Systems Architecture. 2023(134): 102754.（CCF B类期刊）
- Bin Yang, Dian Shen, Junxue Zhang, Fang Dong, Junzhou Luo, John C.S Lui. Towards the Full Extensibility of Multipath TCP with eMPTCP. IEEE ICNP 2022 : 1-11.（CCF B类会议）
- Feng Shan, Jianping Huang, Runqun Xiong, Fang Dong*, Luo Junzhou, Suyang Wang. Energy-Efficient General PoI-Visiting by UAV with a Practical Flight Energy Model. IEEE Transactions on Mobile Computing, 2022, 10.1109/TMC.2022.3199237. (CCF A类期刊)
- Xiaolin Guo, Fang Dong*, Dian Shen, Zhaowu Huang. Exploiting the Computational Path Diversity with In-network Computing for MEC. IEEE SECON 2022 : 280-288.（CCF B 类会议）
- Dian Shen, Yi Zhai, Fang Dong*, Junzhou Luo. Last-mile Matters: Mitigating the Tail Latency of Virtualized Networks with Multipath Data Plane. IEEE CLUSTER 2022 : 195-205. (CCF B 类会议)
- 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 : 1-11. (CCF B 类会议)
- Fang Dong, Huitian Wang, Dian Shen, Zhaowu Huang, Qiang He, Jinghui Zhang. Multi-exit DNN Inference Acceleration based on Multi-Dimensional Optimization for Edge Intelligence. IEEE Transactions on Mobile Computing, 22(9): 5389-5405, 2023.（CCF A类期刊）
- 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 Transactions on Mobile Computing, 2021. DOI:10.1109/TMC.2021.3112941. （CCF A类期刊）
- Meng Zhou, Bowen Zhou, Huitian Wang, Fang Dong. Dynamic Path Based DNN Synergistic Inference Acceleration in Edge Computing Environment. IEEE ICAPDS 2021 : 567-574. (CCF C类会议)
- Mingxuan Yang, Fang Dong, Dian Shen, Yi Zhai, Ciyuan Chen. A CPU Load-awared Virtual Router Placement Strategy in Cloud Network. IEEE CSCWD 2021 : 690-695. (CCF C类会议)
- Kai Wang, Fang Dong, Dian Shen, Chengtian Zhang, Junzhou Luo. Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications. IEEE CSCWD 2021 : 49-55. (CCF C类会议)
- Zhaowu Huang*, Fang Dong*(共同一作), Dian Shen, Junxue Zhang, Huitian Wang, Guangxing Cai, Qiang He. Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild. IEEE ICDCS 2021 : 729-739. (CCF B类会议)
- Fang Dong, Junzhou Luo, Jiahui Jin, Jiyuan Shi, Ye Yang, Jun Shen. Accelerating skycube computation with partial and parallel processing for service selection. IEEE Transactions on Services Computing, 13(6):969-984, 2020. (CCF A类期刊)
- Dian Shen, Junzhou Luo, Fang Dong, Xiaolin Guo, Kai Wang, John Lui. Distributed and Optimal RDMA Resource Scheduling in Shared Data Center Networks, Infocom 2020 : 606-615. (CCF A类会议)
- Zhuqing Xu, Junzhou Luo, Zhimeng Yin, Tian He and Fang Dong. S-MAC: Achieving High Scalability via Adaptive Scheduling in LPWAN, Infocom 2020 : 506-515. (CCF A类会议)
- Shen Dian, Luo Junzhou, Dong Fang*, Jin Jiahui, Zhang Junxue and Shen Jun. Facilitating Application-aware Bandwidth Allocation in the Cloud with One-step-ahead Traffic Information [J]. IEEE Transactions on Services Computing, 2020, 13(2):381-394. (CCF A类期刊)
- Jiahui Jin, Junzhou Luo, Samamon Khemmarat, Fang Dong and Lixin Gao. GStar: an efficient framework for answering top-k star queries on billion-node knowledge graphs[J]. World Wide Web: Internet and Web Information Systems (WWWJ), 2019, 22(4): 1611-1638 (CCF B类期刊)
- Fang Dong, Xiaoling Guo, Pengcheng Zhou, Dian Shen. Task-aware Flow Scheduling with Heterogeneous Utility Characteristics for Data Center Networks. Tsinghua Science and Technology, 2019, 24(4): 400-411.
- Dian Shen, Junzhou Luo, Fang Dong, et al. VirtCo: joint coflow scheduling and virtual machine placement in cloud data centers[J]. Tsinghua Science and Technology, 2019, 24(5): 630-644.
- Huitian Wang, Guangxing Cai, Zhaowu Huang, Fang Dong. ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment. The 25th International Conference on Parallel and Distributed Systems (ICPADS 2019)，438-445. (CCF C类会议)
- Rui Wang, Junzhou Luo, Fang Dong, et al. ParaNF: Enabling Delay-Balanced Network Function Parallelism in NFV[C]. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019: 392-397. (CCF C类会议)
- Zhaoyi Yang, Fang Dong. Model-Aware Parallelization Strategy for Deep Neural Networks' Distributed Training[C]. 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2019: 61-66.
- Feng Shan, Junzhou Luo, Weiwei Wu, Fang Dong, Xiaojun Shen. Throughput Maximization for Wireless Powered Communication in Green Cities. IEEE Transactions on Industrial Informatics, 14(6): 2560-2569, 2018.
- Jiyuan Shi, Junzhou Luo, Fang Dong, et al. Fast multi-resource allocation with patterns in large scale cloud data center[J]. Journal of Computational Sience, 2018, 26: 389-401.
- Yunhao Li, Junzhou Luo, Jiahui Jin, Runqun Xiong, Fang Dong. An Effective Model for Edge-Side Collaborative Storage in Data-Intensive Edge Computing. 22nd IEEE International Conference on Computer Supported Cooperative Work in Design. 2018. (CCF C类会议)
- Fang Dong, Pengcheng Zhou, Zijian Liu, Dian Shen, Zhuqing Xu, Junzhou Luo. Towards a Fast and Secure Design for Enterprise-oriented Cloud Storage Systems. Concurrency and Computation: Practice &. Experience, 29(19): e4177, 2017. (CCF C类期刊)
- Fang Dong, Junxue Zhang, Junzhou Luo, Dian Shen and Jiahui Jin. Enabling Application-aware Flexible Graph Partition Mechanism for Parallel Graph Processing Systems. Concurrency and Computation: Practice &. Experience, 29(6): e3849, 2017. (CCF C类期刊)
- Huanhuan Zhang, Fang Dong, Dian Shen, Runqun Xiong, Jiahui Jin. Virtual network fault diagnosis mechanism based on fault injection. The 21th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017), 2017: 384-389. (CCF C类会议)
- Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen. GScheduler: Optimizing Resource Provision by using GPU Usage Pattern Extraction in Cloud Environment. 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC 2017), 2017: 3225-3230. (CCF C类会议)
- Dian Shen, Junzhou Luo, Fang Dong, Junxue Zhang. AppBag: Application-aware Bandwidth Allocation for Virtual Machines in Cloud Environment. 2016 The International Conference on Parallel Processing (ICPP 2016), 2016:21-30. (CCF B类会议)
- Jiyuan Shi, Junzhou Luo, Fang Dong, Jinghui Zhang, Junxue Zhang. Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints. Cluster Computing 19(1): 167-182 (2016). (CCF C类期刊)
- Jiyuan Shi, Fang Dong, Jinghui Zhang, Jiahui Jin and Junzhou Luo. Resource Provisioning Optimization for Service Hosting on Cloud Platform. The 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016), 2016:614-619. (CCF C类会议)
- Zijian Liu, Fang Dong, Junxue Zhang, Pengcheng Zhou, Zhuqing Xu, Junzhou Luo. A Front-end Directory Prefetching Mechanism for GlusterFS. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), 2016:3942-3947. (CCF C类会议)
- Dian Shen, Junzhou Luo, Fang Dong, Xiang Fei, et al. Stochastic Modeling of Dynamic Right-sizing for Energy-efficiency in Cloud Data Centers. Future Generation Computer Systems, 2015, 48: 82-95. (CCF C类期刊)
- Runqun Xiong, Junzhou Luo, Fang Dong. Optimizing Data Placement in Heterogeneous Hadoop Clusters. Cluster Computing, 2015, 18(4):1465-1480. (CCF C类期刊)
- Jinghui Zhang, Mingjun Wang, Junzhou Luo, Fang Dong and Junxue Zhang. Towards Optimized Scheduling for Data-intensive Scientific Workflow in Multiple Datacenter Environment. Concurrency and Computation: Practice &. Experience, 2015, 27:5606–5622. (CCF C类期刊)
- Jinghui Zhang, Junzhou Luo, Fang Dong. Scientific Workflow Scheduling in Non-dedicated Heterogeneous Multicluster with Advance Reservations. Integrated Computer-Aided Engineering, 2015, 22(3):261-280. (JCR Q1期刊)
- Ye Yang, Fang Dong, Junzhou Luo. Computing Service Skyeube for Web Service Selection. The 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015), 2015:614-619. (CCF C类会议)
- Jiyuan Shi, Fang Dong, Jiahui Jin, Junzhou Luo and Ding Ding. Two-phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center. 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), 2015. (CCF C类会议)
- Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. A Sampling-based Hybrid Approximate Query Processing System in the Cloud. The 43th International Conference on Parallel Processing (ICPP 2014), 2014: 291-300. (CCF B类会议)
- Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. OATS: Online Aggregation with Two-level Sharing Strategy in Cloud. Distributed and Parallel Databases, 2014, 32(4): 467-505.(CCF C类期刊)
- Dian Shen, Fang Dong, Junxue Zhang and Junzhou Luo. Cost-effective Virtual Machine Image Replication Management for Cloud Data Centers. The 16th IEEE International Conference on High Performance Computing and Communications (HPCC 2014), 2014:229-236. (CCF C类会议)
- Jiyuan Shi, Junzhou Luo, Fang Dong, et al. A budget and deadline aware scientific workflow resource provisioning and scheduling mechanism for cloud. The 18th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2014), 2014: 672-677. (CCF C类会议)
- Fang Dong, Junzhou Luo, Bo Liu. A Performance Fluctuation-Aware Stochastic Scheduling Mechanism for Workflow Applications in Cloud Environment. IEICE Transactions on Information and Systems, Vol.E97-D, No.10, October 2014, 2641-2651.
专利授权与受理
- 东方，蔡光兴，沈典，王慧田，张竞慧. 边缘计算环境下异构处理器加速多出口DNN推理的方法，国家发明专利，受权时间：2024.3.25，申请号：202210282401.5.
- 东方，王慧田，沈典，蔡光兴，黄兆武. 面向边缘智能应用的深度神经网络多路径推理加速方法，国家发明专利，授权时间：2023.8.22，授权号：202010180260.7
- 东方，黄兆武，沈典. 用于边缘计算环境中面向深度学习应用的任务卸载方法, 国家发明专利，授权时间：2023.5.23，授权号：201910525863.3.
- 东方，阮文龙，沈典，张竞慧. 用于边缘计算环境中面向智能工作流应用的任务卸载方法，国家发明专利，受理时间：2022.3.21，申请号：202210275145.7.
- 刘梦阳，东方，唐安然. 边缘计算环境中基于时空间优化的多目标跟踪加速方法，国家发明专利，授权时间：2022.11.1，授权号：202111000951.5.
- 东方，师晓敏，罗军舟，王睿. 网络功能虚拟化环境中实现网元级并行化服务功能的方法，国家发明专利，授权时间：2020.7.17，授权号：201711292739.4.
- 东方，师晓敏，罗军舟，查付政，徐祝庆，吉祥. 一种面向GPU集群环境的避免GPU资源征用的方法，国家发明专利，授权时间：2020.6.12，授权号：201711326972.X.
- 东方，夏鸣轩，王士琦，沈典. 一种基于深度学习的数据中心网络流量拼接方法，国家发明专利，受理时间：2020.6.12，申请号：202010534449.1
- 东方，沈典，张欢欢，王士琦，罗军舟. 一种基于强化学习的虚拟化网络故障诊断模型构建方法, 国家发明专利，受理时间：2019.7.17，申请号：201910644115.7
- 熊润群，李修阳，单冯，罗军舟，东方. 一种无线传感网数据采集中基于实际模型的无人机最优速度调度方法. 中国发明专利，受理时间：2019.5.28，申请号：201910451515.6
- 沈典，东方，罗军舟，周鹏程. 一种虚拟化环境下任务类型感知的流队列自适应管理方法，国家发明专利，受理时间：2019.1，受理号：201910007824.4.
- 沈典，东方，罗军舟，王凯. 一种数据中心中RDMA应用传输参数自适应选择方法，国家发明专利，受理时间：2019.1，受理号：201910008291.1.
- 东方，周经亚，罗军舟. 一种基于DHT机制的云存储系统的资源动态分配方法，国家发明专利，授权时间：2017.7，授权号：201410326861.9.
- 东方，陈苗，罗军舟，孟宪栋. 高性能计算和云计算混合环境中的动态资源管理方法，国家发明专利，授权时间：2017.5，授权号：201410410274.8.
- 东方，罗军舟，张毅，王宇翔，徐晓冬. 大数据环境下的流式数据处理方法，国家发明专利，授权时间：2016.6，授权号：201310287554.X.
- 东方，罗军舟，沈典. 一种用于云计算环境中防范旁路攻击虚拟机的方法，国家发明专利，受权时间：2015.4，授权号：201210356355.5.
- 东方，罗军舟，金嘉晖. 基于网络带宽估计的云计算任务调度方法，国家发明专利，授权时间：2014.12，授权号：201210205574.3.
- 东方，罗军舟，王巍，黄彬彬.一种基于动态定价策略的多数据中心成本优化方法，国家发明专利，受理时间：2013.10，受理号：201310519850.8.
- 东方，罗军舟，施洵，朱夏，徐晓冬. 电子商务环境下基于云计算处理模式的个性化推荐方法，国家发明专利，受理号：201310287555.4.
- 熊润群，罗军舟，东方，金嘉晖. 一种云数据中心大规模异构集群节点快速定量分级方法，国家发明专利，受理时间：2016.9，授理号：201610809567.2.
- 罗军舟, 曹玖新, 朱夏, 田田, 东方, 郑啸. 基于内容复制的资源负载平衡方法，国家发明专利，授权号：ZL200810156156.3，证书号：第746555号.
授课教学
1. 程序设计基础及语言 I & II（本科生）
2. 云计算技术及应用（研究生）
