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个人简介

东方 ,博士,东南大学青年首席教授,博士生导师,入选国家级青年人才计划,现任东南大学大数据计算中心主任。同时担任 ACM南京分会主席、 江苏省计算机学会高性能计算专委会副主任&云计算专委会委员。 2011年3月毕业于东南大学计算机科学与工程学院,获工学博士学位,师从罗军舟教授。博士毕业后留校任教,在江苏省“网络与信息安全”重点实验室从事教学科研工作,主要研究方向为云计算与边缘计算。作为项目负责人主持科技创新2030重大专项课题、国家重点研发计划项目子课题、国家自然科学基金等多项国家级项目,并承担南钢集团、中国移动、江苏电网、顺丰科技、中车集团等多家行业知名企业的校企合作研究项目。相关成果获得国家级教学成果二等奖以及冶金科学技术特等奖。参加了丁肇中教授领导的 AMS大型物理实验,建设完成东南大学云计算中心及东南大学 AMS科学数据处理中心( AMS-02 SOC)。在 IEEE/ACM TON、IEEE TMC、IEEE JSAC、 INFOCOM、WWW、ICNP、ICDCS、ICPP等国际国内重要期刊及会议上发表论文100余篇,并长期担任IEEE TON、TMC、TSC、《计算机学报》等重要期刊的客座编辑及特邀审稿人 ,历届 云计算与大数据国际会议( CBD 2013-2023) Program Co-Chair & Organization Co-Chair,全国高校云计算应用创新大赛组委会秘书长,申请发明专利23项、软件著作权2项。

研究领域

1、端边云协同的高效联邦(分割)学习 2、端边协同的大小模型推理加速 3、面向资源受限场景的大模型轻量化部署 4、基于可重构硬件FPGA的模型推理加速 5、基于边缘智能的视觉应用执行优化 6、工业互联网智能云端协作

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1. Fan Sun, Fang Dong* , Dian Shen. HiSpTRSV: Exploring Tile-Level Parallelism for SpTRSV Acceleration on FPGAs. Design Automation Conference(DAC) 2025 . (CCF A) 2. Shucun Fu, Fang Dong* , Runze Chen, Dian Shen, Jinghui Zhang, Qiang He. Multi-Dimensional Training Optimization for Efficient Federated Synergy Learning. IEEE Transactions on Mobile Computing , 2025, 24(7): 6243-6258. (CCF A) 3. Zhaowu Huang, Fang Dong* , Xiaolin Guo, and Daheng Yin. FaSei: Fast Serverless Edge Inference with Synergistic Lazy Loading and Layer-wise Caching. IEEE INFOCOM 2025 . (CCF A) 4. Shuting Qiu, Fang Dong* , Siyu Tan, Dian Shen, Ruiting Zhou and Qilin Fan. CoCaR: Enabling Efficient Dynamic DNN-based Model Caching and Request Routing in MEC. IEEE INFOCOM 2025 . (CCF A) 5. Xiaolin Guo, Fang Dong* , Dian Shen, Zhaowu Huang, and Jinghui Zhang. Resource-Efficient DNN Inference with Early Exiting in Serverless Edge Computing. IEEE Transactions on Mobile Computing , 2025, 24(5): 3650-3666. (CCF A) 6. Zhaowu Huang, Fang Dong* , Haopeng Zhu, et al. ADPTD: Adaptive Data Partition With Unbiased Task Dispatching for Video Analytics at the Edge[J]. IEEE Internet of Things Journal , 2025, 12(6): 7434-7445. (JCR Q1) 7. Maojie Sun, Fang Dong* , ZHaowu Huang, et al. Adaptive Model Compression for Steel Plate Surface Defect Detection: An Expert Knowledge and Working Condition-Based Approach[J]. Tsinghua Science and Technology , 2024, 29(6): 1851-1871. (JCR Q1) 8. Shucun Fu, Fang Dong, Dian Shen, Runze Chen, Jiangshan Hao. DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT[J]. ACM Transactions on Intelligent Systems and Technology , 2024, 15(5):1-28. (JCR Q1) 9. Daheng Yin, Jianxin Shi, Miao Zhang, Zhaowu Huang, Jiangchuan Liu, Fang Dong . SVFG: Towards Immersive Full-Scene Volumetric Video Streaming with Adaptive Feature Grid. Proceedings of the 32nd ACM International Conference on Multimedia(MM) . 2024: 11089-11098. (CCF A) 10. Feng Shan, Junzhou Luo, Qiao Jin, Liwen Cao, Weiwei Wu, Zhen Ling, Fang Dong . Optimal Harvest-then-Transmit Scheduling for Throughput Maximization in Time-varying RF Powered Systems. IEEE Journal on Selected Areas in Communications , 2024 (CCF A) 11. Dian Shen, Bin Yang, Junxue Zhang, Fang Dong* , John C.S Lui. eMPTCP: A Framework to Fully Extend Multipath TCP. IEEE/ACM Transactions on Networking . 2024, 32(6): 5459-5474. (CCF A) 12. 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 Transactions on Sensor Networks , 20(2): 48:1-48:32 (2024) (CCF B) 13. 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 : 484-493. (CCF B) 14. 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) 15. 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) 16. 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 , 2024, 42(3): 724-736. (CCF A) 17. 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 ) 18. 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 ) 19. 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 ) 20. 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) 21. 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) 22. 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) 23. 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) 24. 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) 25. 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) 26. 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) 27. 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) 28. 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) 29. 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) 30. 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) 31. 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) 32. 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) 33. 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) 34. 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) 35. 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) 36. 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) 37. 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) 38. 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) 39. 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) 40. 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. (JCR Q1) 41. 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. (JCR Q1) 42. 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) 43. 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. (JCR Q1) 44. 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)

学术兼职

ACM南京分会主席 江苏省计算机学会高性能计算专委会副主任&云计算专委会委员

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