博士、教授、博士生導師
研究方向: 雲計算、邊緣計算
郵箱: fdong@seu.edu.cn
電話: +86 25 5209 1016
傳真: +86 25 5209 1016
地址: 江蘇省南京市江甯區bet356手机版唯一官网九龍湖校區計算機學院
郵編：211189
研究方向
邊緣計算與邊緣智能
深度學習執行優化
虛拟化資源管理
數據中心網絡
面向工業互聯網的智能雲端協作
希望招募對雲計算、邊緣計算與邊緣智能方向感興趣的博士生和碩士生，歡迎希望從事相關領域研究工作的同學發送個人簡曆到我的郵箱（fdong@seu.edu.cn）。
主持/參與項目
- 國家自然基金重點項目“物聯網智能感知與溯源方法”（62232004），294萬（直接經費），2023年1月-2027年12月。主要參與人員。在研。
- 科技創新2030-“新一代人工智能”重大項目“元模型驅動的開放環境自适應感知”（2018AAA0100500）課題，164萬，2019年12月-2022年11月。課題負責人。結題。
- 國家重點研發計劃項目“面向工業互聯網的智能雲端協作關鍵技術及系統”（2017YFB1003000）子課題，103.5萬，2017年10月-2021年10月。子課題負責人。結題。
- 國家自然科學基金面上項目“面向深度學習應用的邊緣計算執行框架與優化機制研究”（61872079），64萬（直接經費），2019年1月-2022年12月。項目負責人。結題。
- 國家自然基金重點項目“工業互聯網體系結構及關鍵技術研究”（61632008），285萬（直接經費），2017年1月-2021年12月。主要參與人員。結題。
- 安徽高校協同創新項目“工業互聯網邊緣智能計算平台及應用系統”課題，30萬，2021年1月-2022年12月，課題負責人。在研。
- 中移動研究院合作課題“動态網絡下邊緣智能雲邊端協同任務調度技術研究”，2021年8月-2022年12月。項目負責人。結題。
- 國家自然科學基金面上項目“雲環境下面向大規模圖數據處理的資源優化機制研究”（61572129），64萬（直接經費），2016年1月-2019年12月。項目負責人。結題。
- 國家自然科學基金國際合作項目“AMS大數據處理關鍵技術研究”（61320106007），290萬，2014年1月-2018年12月。主要參與人員。結題（評為優秀）。
- 國家自然科學基金青年基金項目“雲計算環境下面向科學工作流應用的彈性調度機制研究”（61202449），25萬，2013年1月-2015年12月。項目負責人。結題。
-江蘇省産學研前瞻性聯合研究項目“面向電子商務的大數據存儲與分析技術及其應用”（BY2013073-01），30萬，2013年9月-2015年8月。項目負責人。結題。
-國家自然科學基金重大研究計劃“以網絡為基礎的科學活動環境研究”中的重點項目“AMS數據計算環境應用示範”(90912002)，100萬，2009年7月-2010年12月。主要參與人員。結題。
- 企業合作課題“數據中心網絡VAS流串接算法研究”，2019年3月-2020年12月。項目負責人。已結題。
部分發表論文
- 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，2023. Accept.（CCF A類期刊）
- 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類會議）
- 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 類期刊)
- 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 類會議）
- 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 類會議）
- 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類期刊)
- 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類會議）
- 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類會議）
- 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, 2023. Accept.（CCF A類期刊）
- 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類期刊）
- 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類會議）
- 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類期刊)
- 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 類會議）
- 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 類會議)
- 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 類會議)
- 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, 2022, 10.1109/TMC.2022.3172402.（CCF A類期刊）
- 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類期刊）
- 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類會議)
- 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類會議)
- 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類會議)
- 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類會議)
- 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類期刊)
- 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類會議)
- 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類會議)
- 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類期刊)
- 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類期刊)
- 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類會議)
- 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類會議)
- 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類會議)
- 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類期刊)
- 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類期刊)
- 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類會議)
- 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類會議)
- 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類會議)
- 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類期刊)
- 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類會議)
- 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類會議)
- 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類期刊)
- Runqun Xiong, Junzhou Luo, Fang Dong. Optimizing Data Placement in Heterogeneous Hadoop Clusters. Cluster Computing, 2015, 18(4):1465-1480. (CCF C類期刊)
- 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類期刊)
- 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類會議)
- 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類會議)
- 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類會議)
- 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類期刊)
- 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類會議)
- 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類會議)
- 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.
專利授權與受理
21. 東方，阮文龍，沈典，張競慧. 用于邊緣計算環境中面向智能工作流應用的任務卸載方法，國家發明專利，受理時間：2022.3.21，申請号：202210275145.7.
20. 東方，蔡光興，沈典，王慧田，張競慧. 邊緣計算環境下異構處理器加速多出口DNN推理的方法，國家發明專利，受理時間：2022.3.22，申請号：202210282401.5.
19. 劉夢陽，東方，唐安然. 邊緣計算環境中基于時空間優化的多目标跟蹤加速方法，國家發明專利，授權時間：2022.11.1，授權号：202111000951.5.
18. 東方，師曉敏，羅軍舟，王睿. 網絡功能虛拟化環境中實現網元級并行化服務功能的方法，國家發明專利，授權時間：2020.7.17，授權号：201711292739.4.
17. 東方，師曉敏，羅軍舟，查付政，徐祝慶，吉祥. 一種面向GPU集群環境的避免GPU資源征用的方法，國家發明專利，授權時間：2020.6.12，授權号：201711326972.X.
16. 東方，王慧田，沈典，蔡光興，黃兆武. 面向邊緣智能應用的深度神經網絡多路徑推理加速方法，國家發明專利，受理時間：2020.3.16，申請号：202010180260.7
15. 東方，夏鳴軒，王士琦，沈典. 一種基于深度學習的數據中心網絡流量拼接方法，國家發明專利，受理時間：2020.6.12，申請号：202010534449.1
14. 東方，黃兆武，沈典. 一種用于邊緣計算環境中面向深度學習應用的任務卸載方法, 國家發明專利，受理時間：2019.6.18，申請号：201910525863.3
13. 東方，沈典，張歡歡，王士琦，羅軍舟. 一種基于強化學習的虛拟化網絡故障診斷模型構建方法, 國家發明專利，受理時間：2019.7.17，申請号：201910644115.7
12. 熊潤群，李修陽，單馮，羅軍舟，東方. 一種無線傳感網數據采集中基于實際模型的無人機最優速度調度方法. 中國發明專利，受理時間：2019.5.28，申請号：201910451515.6
11. 沈典，東方，羅軍舟，周鵬程. 一種虛拟化環境下任務類型感知的流隊列自适應管理方法，國家發明專利，受理時間：2019.1，受理号：201910007824.4.
10. 沈典，東方，羅軍舟，王凱. 一種數據中心中RDMA應用傳輸參數自适應選擇方法，國家發明專利，受理時間：2019.1，受理号：201910008291.1.
9. 東方，周經亞，羅軍舟. 一種基于DHT機制的雲存儲系統的資源動态分配方法，國家發明專利，授權時間：2017.7，授權号：201410326861.9.
8. 東方，陳苗，羅軍舟，孟憲棟. 高性能計算和雲計算混合環境中的動态資源管理方法，國家發明專利，授權時間：2017.5，授權号：201410410274.8.
7. 東方，羅軍舟，張毅，王宇翔，徐曉冬. 大數據環境下的流式數據處理方法，國家發明專利，授權時間：2016.6，授權号：201310287554.X.
6. 東方，羅軍舟，沈典. 一種用于雲計算環境中防範旁路攻擊虛拟機的方法，國家發明專利，受權時間：2015.4，授權号：201210356355.5.
5. 東方，羅軍舟，金嘉晖. 基于網絡帶寬估計的雲計算任務調度方法，國家發明專利，授權時間：2014.12，授權号：201210205574.3.
4. 東方，羅軍舟，王巍，黃彬彬.一種基于動态定價策略的多數據中心成本優化方法，國家發明專利，受理時間：2013.10，受理号：201310519850.8.
3. 東方，羅軍舟，施洵，朱夏，徐曉冬. 電子商務環境下基于雲計算處理模式的個性化推薦方法，國家發明專利，受理号：201310287555.4.
2. 熊潤群，羅軍舟，東方，金嘉晖. 一種雲數據中心大規模異構集群節點快速定量分級方法，國家發明專利，受理時間：2016.9，授理号：201610809567.2.
1. 羅軍舟, 曹玖新, 朱夏, 田田, 東方, 鄭嘯. 基于内容複制的資源負載平衡方法，國家發明專利，授權号：ZL200810156156.3，證書号：第746555号.
授課教學
1. 程序設計基礎及語言 I & II（本科生）
2. 雲計算技術及應用（研究生）