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Dian Shen
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2020 – today
- 2024
- [j15]Shidong Wang, Yangyang Shen, Fanwei Zeng, Meng Wang, Bohan Li, Dian Shen, Xiaodong Tang, Beilun Wang
:
Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning. Health Inf. Sci. Syst. 12(1): 31 (2024) - [j14]Shucun Fu
Privacy-preserving model splitting and quality-aware device association for federated edge learning. Softw. Pract. Exp. 54(10): 2063-2085 (2024) - [j13]Jinghui Zhang
Micro-Burst Aware ECN in Multi-Queue Data Centers: Algorithm and Implementation. IEEE Trans. Netw. Sci. Eng. 11(3): 2384-2398 (2024) - [j12]Shucun Fu
Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning. IEEE Trans. Serv. Comput. 17(1): 251-262 (2024) - [c30]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: 9323-9331 - [c29]Xiao Tan
Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. CIKM 2024: 2210-2219 - [c28]Ciyuan Chen, Junzhou Luo, Dian Shen, Zhuqing Xu, Runqun Xiong:
Achieving Low Queueing Latency in Time-Slotted LoRa Networks. CSCWD 2024: 3237-3242 - [c27]Kaihong Huang
Hynify: A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics. DAC 2024: 90:1-90:6 - [c26]Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang:
Adaptive Group Personalization for Federated Mutual Transfer Learning. ICML 2024 - 2023
- [j11]Zunyi Liu, Dian Shen
DeepMetricCorr: Fast flow correlation for data center networks with deep metric learning. Comput. Networks 233: 109904 (2023) - [j10]Ciyuan Chen
Enabling large-scale low-power LoRa data transmission via multiple mobile LoRa gateways. Comput. Networks 237: 110083 (2023) - [j9]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: 102754 (2023) - [j8]Fang Dong
Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. IEEE Trans. Mob. Comput. 22(9): 5389-5405 (2023) - [j7]Dian Shen
Enabling Distributed and Optimal RDMA Resource Sharing in Large-Scale Data Center Networks: Modeling, Analysis, and Implementation. IEEE/ACM Trans. Netw. 31(6): 2745-2760 (2023) - [c25]Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang:
Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module. ICDM 2023: 828-837 - [c24]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: 1-11 - [c23]Shucun Fu, Fang Dong, Dian Shen, Qiang He:
Joint Quality Evaluation, Model Splitting and Resource Provisioning for Split Edge Learning. SECON 2023: 420-428 - 2022
- [c22]Jiaang Bao, Chao Yang, Nu Xia, Dian Shen:
Long-Term Workload Forecasting in Grid Cloud using Deep Ensemble Model. CBD 2022: 42-47 - [c21]Dian Shen, Yi Zhai
Last-mile Matters: Mitigating the Tail Latency of Virtualized Networks with Multipath Data Plane. CLUSTER 2022: 195-205 - [c20]Bin Yang, Dian Shen, Junxue Zhang
Towards the Full Extensibility of Multipath TCP with eMPTCP. ICNP 2022: 1-11 - [c19]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: 71:1-71:11 - [c18]Ciyuan Chen, Junzhou Luo, Zhuqing Xu, Runqun Xiong, Zhimeng Yin, Jingkai Lin, Dian Shen:
LoRaDrone: Enabling Low-Power LoRa Data Transmission via a Mobile Approach. MSN 2022: 239-246 - [c17]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: 280-288 - 2021
- [c16]Shiqi Wang, Fang Dong, Dian Shen, Wei Zhao:
Flow Characteristics Estimation Based On Multilayer Virtual Active Counter Sharing in Data Center Network. CBD 2021: 37-44 - [c15]Kai Wang, Fang Dong, Dian Shen, Chengtian Zhang, Jinghui Zhang, Junzhou Luo:
Towards Tunable RDMA Parameter Selection at Runtime for Datacenter Applications. CSCWD 2021: 49-54 - [c14]Mingxuan Yang, Fang Dong, Dian Shen, Yi Zhai
A CPU Load-awared Virtual Router Placement Strategy in Cloud Network. CSCWD 2021: 690-695 - [c13]Zhaowu Huang, Fang Dong, Dian Shen, Junxue Zhang
Enabling Low Latency Edge Intelligence based on Multi-exit DNNs in the Wild. ICDCS 2021: 729-739 - 2020
- [j6]Dian Shen
ParaGraph: Subgraph-Level Network Function Composition With Delay Balanced Parallelism. IEEE Access 8: 199308-199322 (2020) - [j5]Dian Shen
Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information. IEEE Trans. Serv. Comput. 13(2): 381-394 (2020) - [c12]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: 606-615
2010 – 2019
- 2019
- [j4]Dian Shen
Rendering differential performance preference through intelligent network edge in cloud data centers. Concurr. Comput. Pract. Exp. 31(24) (2019) - [c11]Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Junzhou Luo, Wenxin Li, Zhiang Wu:
MBECN: Enabling ECN with Micro-burst Traffic in Multi-queue Data Center. CLUSTER 2019: 1-12 - [c10]Rui Wang, Junzhou Luo, Fang Dong, Dian Shen:
ParaNF: Enabling Delay-Balanced Network Function Parallelism in NFV. CSCWD 2019: 392-397 - [c9]Kexi Kang, Jinghui Zhang, Jiahui Jin, Dian Shen, Runqun Xiong, Junzhou Luo:
QAECN: Dynamically Tuning ECN Threshold with Micro-burst in Multi-queue Data Centers. CSCWD 2019: 398-403 - [c8]Tao Xu, Dian Shen, Huanhuan Zhang, Runqun Xiong, Jiahui Jin:
Fault Diagnosis for the Virtualized Network in the Cloud Environment using Reinforcement Learning. SmartCloud 2019: 231-236 - 2017
- [j3]Fang Dong, Junxue Zhang
Enabling application-aware flexible graph partition mechanism for parallel graph processing systems. Concurr. Comput. Pract. Exp. 29(6) (2017) - [j2]Fang Dong
Towards a fast and secure design for enterprise-oriented cloud storage systems. Concurr. Comput. Pract. Exp. 29(19) (2017) - [c7]Zhen Du, Zhuging Xu, Fang Dong, Dian Shen:
A Novel Solution of Cloud Operating System Based on X11 and Docker. CBD 2017: 26-32 - [c6]Huanhuan Zhang, Fang Dong, Dian Shen, Runqun Xiong, Jiahui Jin:
Virtual network fault diagnosis mechanism based on fault injection. CSCWD 2017: 384-389 - 2016
- [c5]Dian Shen, Junzhou Luo, Fang Dong, Junxue Zhang
AppBag: Application-Aware Bandwidth Allocation for Virtual Machines in Cloud Environment. ICPP 2016: 21-30 - 2015
- [j1]Dian Shen, Junzhou Luo, Fang Dong, Xiang Fei
Stochastic modeling of dynamic right-sizing for energy-efficiency in cloud data centers. Future Gener. Comput. Syst. 48: 82-95 (2015) - [c4]Junxue Zhang
Superblock: An Application-Aware Dynamic Partition Strategy for Large-Scale Graph. CBD 2015: 167-174 - 2014
- [c3]Dian Shen, Fang Dong, Junxue Zhang
Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers. HPCC/CSS/ICESS 2014: 229-236 - [c2]Junxue Zhang
Game theory based dynamic resource allocation for hybrid environment with cloud and big data application. SMC 2014: 1128-1133 - 2013
- [c1]Dian Shen, Fang Dong, Junzhou Luo, Wei Wang, Xiang Fei
Doing Better Business: Trading a Little Execution Time for High Energy Saving under SLA Constraints. ICEBE 2013: 70-75
Coauthor Index
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