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2020 – today
- 2024
[j10]Runhua Zhang
, Hongxu Jiang, Jinkun Geng, Fangzheng Tian, Yuhang Ma, Haojie Wang:
A high-performance dataflow-centric optimization framework for deep learning inference on the edge. J. Syst. Archit. 152: 103180 (2024)- [c24]Muhammad Haseeb, Jinkun Geng, Ulysses Butler, Xiyu Hao, Daniel Duclos-Cavalcanti, Anirudh Sivaraman:
POSTER: Jasper, A Scalable and Fair Multicast for Financial Exchanges in the Cloud. SIGCOMM (Posters and Demos) 2024: 36-38 - [i3]Muhammad Haseeb, Jinkun Geng, Ulysses Butler, Xiyu Hao, Daniel Duclos-Cavalcanti, Anirudh Sivaraman:
Jasper: Scalable and Fair Multicast for Financial Exchanges in the Cloud. CoRR abs/2402.09527 (2024) - 2023
- [j9]Junfeng Li, Dan Li, Huiyou Jiang, Du Lin, Jinkun Geng, Yukai Huang, K. K. Ramakrishnan, Kai Zheng:
Light: A Compatible, high-performance and scalable user-level network stack. Comput. Networks 229: 109756 (2023) - [c23]Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang:
Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. DASFAA (1) 2023: 535-545 - [c22]Jinkun Geng, Xiubo Liang, Hongzhi Wang, Yu Zhao:
Diffusion Policies as Multi-Agent Reinforcement Learning Strategies. ICANN (3) 2023: 356-364 - [i2]Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang:
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. CoRR abs/2302.00282 (2023) - 2022
- [j8]Jinkun Geng, Anirudh Sivaraman, Balaji Prabhakar, Mendel Rosenblum:
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks. Proc. VLDB Endow. 16(4): 629-642 (2022) - [j7]Shuai Wang, Jinkun Geng, Dan Li:
Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology. IEEE/ACM Trans. Netw. 30(2): 572-585 (2022) - [i1]Jinkun Geng, Anirudh Sivaraman, Balaji Prabhakar, Mendel Rosenblum:
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks. CoRR abs/2206.03285 (2022) - 2021
- [j6]Junfeng Li, Dan Li, Wenfei Wu, K. K. Ramakrishnan, Jinkun Geng, Fanzhao Wang, Kai Zheng:
Sphinx: A transport protocol for high-speed and lossy mobile networks. Comput. Networks 195: 108193 (2021) - [j5]Yang Cheng, Dan Li, Zhiyuan Guo, Binyao Jiang, Jinkun Geng, Wei Bai, Jianping Wu, Yongqiang Xiong:
Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling. IEEE Trans. Parallel Distributed Syst. 32(7): 1802-1814 (2021) - [c21]Ahmad Ghalayini, Jinkun Geng, Vighnesh Sachidananda, Vinay Sriram, Yilong Geng, Balaji Prabhakar, Mendel Rosenblum, Anirudh Sivaraman:
CloudEx: a fair-access financial exchange in the cloud. HotOS 2021: 96-103 - 2020
- [j4]Hongfan Ye, Buqing Cao, Jinkun Geng, Yiping Wen:
Web services classification via combining Doc2Vec and LINE model. Int. J. Comput. Sci. Eng. 23(3): 250-261 (2020) - [j3]Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shutao Xia, Jianping Wu:
A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning. IEEE/ACM Trans. Netw. 28(4): 1752-1764 (2020) - [c20]Jinkun Geng, Dan Li, Shuai Wang:
Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML. ICDE 2020: 1393-1404 - [c19]Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu:
Predicting Traffic Demand Matrix by Considering Inter-flow Correlations. INFOCOM Workshops 2020: 165-170 - [c18]Shuai Wang, Dan Li, Jinkun Geng:
Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling. INFOCOM 2020: 1678-1687 - [c17]Kaihui Gao, Dan Li, Li Chen, Jinkun Geng, Fei Gui, Yang Cheng, Yue Gu:
Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction. IWQoS 2020: 1-10 - [c16]Jinkun Geng, Buqing Cao, Hongfan Ye, Junjie Chen, Mi Peng, Jianxun Liu:
Web Service Recommendation based on Knowledge Graph Convolutional Network and Doc2Vec. SERVICES 2020: 95-100
2010 – 2019
- 2019
- [j2]Yang Cheng, Jinkun Geng, Yanshu Wang, Junfeng Li, Dan Li, Jianping Wu:
Bridging machine learning and computer network research: a survey. CCF Trans. Netw. 1(1-4): 1-15 (2019) - [c15]Jinkun Geng, Dan Li, Shuai Wang:
Accelerating Distributed Machine Learning by Smart Parameter Server. APNet 2019: 92-98 - [c14]Jinkun Geng, Dan Li, Shuai Wang:
Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning. ScienceCloud@HPDC 2019: 1-4 - [c13]Jinkun Geng, Dan Li, Shuai Wang:
ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training. ScienceCloud@HPDC 2019: 5-9 - [c12]Jinkun Geng, Dan Li, Shuai Wang:
Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization. ICDE 2019: 100-111 - [c11]Yang Cheng, Dan Li, Zhiyuan Guo, Binyao Jiang, Jiaxin Lin, Xi Fan, Jinkun Geng, Xinyi Yu, Wei Bai, Lei Qu, Ran Shu, Peng Cheng, Yongqiang Xiong, Jianping Wu:
DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines. ICPP 2019: 88:1-88:11 - [c10]Shuai Wang, Dan Li, Jinkun Geng, Yue Gu, Yang Cheng:
Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. INFOCOM 2019: 1729-1737 - [c9]Junfeng Li, Dan Li, Wenfei Wu, K. K. Ramakrishnan, Jinkun Geng, Fei Gui, Fanzhao Wang, Kai Zheng:
Sphinx: A Transport Protocol for High-Speed and Lossy Mobile Networks. IPCCC 2019: 1-8 - [c8]Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen:
HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing. NPC 2019: 209-221 - 2018
- [j1]Junfeng Li, Dan Li, Yirong Yu, Yukai Huang, Jing Zhu, Jinkun Geng:
Towards full virtualization of SDN infrastructure. Comput. Networks 143: 1-14 (2018) - [c7]Zhetao Li, Fei Gui, Jinkun Geng, Dan Li, Zhibo Wang, Junfeng Li, Yang Cheng, Usama Zafar:
Dante: Enabling FOV-Aware Adaptive FEC Coding for 360-Degree Video Streaming. APNet 2018: 15-21 - [c6]Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu:
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. NeurIPS 2018: 4243-4253 - [c5]Jinkun Geng, Dan Li, Yang Cheng, Shuai Wang, Junfeng Li:
HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning. NetAI@SIGCOMM 2018: 1-7 - 2017
- [c4]Yukai Huang, Jinkun Geng, Du Lin, Bin Wang, Junfeng Li, Ruilin Ling, Dan Li:
LOS: A High Performance and Compatible User-level Network Operating System. APNet 2017: 50-56 - [c3]Jinkun Geng:
CODE: Incorporating Correlation and Dependency for Task Scheduling in Data Center. ISPA/IUCC 2017: 909-913 - 2015
- [c2]Jinkun Geng, Daren Ye, Ping Luo:
Predicting Severity of Software Vulnerability Based on Grey System Theory. ICA3PP (Workshops and Symposiums) 2015: 143-152 - [c1]Jinkun Geng, Daren Ye, Ping Luo, Pin Lv:
A Novel Clustering Algorithm for Database Anomaly Detection. SecureComm 2015: 682-696
Coauthor Index
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last updated on 2024-10-04 19:58 CEST by the dblp team
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