Predicting Severity of Software Vulnerability Based on Grey System Theory. - Jinkun Geng; Daren Ye; Ping Luo (ICA3PP (Workshops and Symposiums), 2015)

A Novel Clustering Algorithm for Database Anomaly Detection. - Jinkun Geng; Daren Ye; Ping Luo; Pin Lv (SecureComm, 2015)

LOS: A High Performance and Compatible User-level Network Operating System. - Yukai Huang; Jinkun Geng; Du Lin; Bin Wang; Junfeng Li; Ruilin Ling; Dan Li 001 (APNet, 2017)

CODE: Incorporating Correlation and Dependency for Task Scheduling in Data Center. - Jinkun Geng (ISPA/IUCC, 2017)

Dante: Enabling FOV-Aware Adaptive FEC Coding for 360-Degree Video Streaming. - Zhetao Li; Fei Gui; Jinkun Geng; Dan Li 001; Zhibo Wang 001; Junfeng Li; Yang Cheng; Usama Zafar (APNet, 2018)

BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training. - Songtao Wang; Dan Li 001; Yang Cheng; Jinkun Geng; Yanshu Wang; Shuai Wang 028; Shu-Tao Xia; Jianping Wu (NeurIPS, 2018)

HiPS: Hierarchical Parameter Synchronization in Large-Scale Distributed Machine Learning. - Jinkun Geng; Dan Li 001; Yang Cheng; Shuai Wang 028; Junfeng Li (NetAI@SIGCOMM, 2018)

Towards full virtualization of SDN infrastructure. - Junfeng Li; Dan Li 001; Yirong Yu; Yukai Huang; Jing Zhu 007; Jinkun Geng (Comput. Networks, 2018)

Accelerating Distributed Machine Learning by Smart Parameter Server. - Jinkun Geng; Dan Li 001; Shuai Wang 028 (APNet, 2019)

Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning. - Jinkun Geng; Dan Li 001; Shuai Wang 028 (ScienceCloud@HPDC, 2019)

ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training. - Jinkun Geng; Dan Li 001; Shuai Wang 028 (ScienceCloud@HPDC, 2019)

Rima: An RDMA-Accelerated Model-Parallelized Solution to Large-Scale Matrix Factorization. - Jinkun Geng; Dan Li 001; Shuai Wang 028 (ICDE, 2019)

DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines. - Yang Cheng; Dan Li 001; Zhiyuan Guo; Binyao Jiang; Jiaxin Lin; Xi Fan; Jinkun Geng; Xinyi Yu; Wei Bai 001; Lei Qu; Ran Shu 001; Peng Cheng 005; et al. (ICPP, 2019)

Impact of Network Topology on the Performance of DML: Theoretical Analysis and Practical Factors. - Shuai Wang 028; Dan Li 001; Jinkun Geng; Yue Gu; Yang Cheng (INFOCOM, 2019)

Sphinx: A Transport Protocol for High-Speed and Lossy Mobile Networks. - Junfeng Li; Dan Li 001; Wenfei Wu; K. K. Ramakrishnan; Jinkun Geng; Fei Gui; Fanzhao Wang; Kai Zheng 003 (IPCCC, 2019)

HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing. - Runhua Zhang 002; Yang Cheng; Jinkun Geng; Shuai Wang 028; Kaihui Gao; Guowei Shen (NPC, 2019)

Bridging machine learning and computer network research: a survey. - Yang Cheng; Jinkun Geng; Yanshu Wang; Junfeng Li; Dan Li 001; Jianping Wu (CCF Trans. Netw., 2019)

Fela: Incorporating Flexible Parallelism and Elastic Tuning to Accelerate Large-Scale DML. - Jinkun Geng; Dan Li 001; Shuai Wang 028 (ICDE, 2020)

Predicting Traffic Demand Matrix by Considering Inter-flow Correlations. - Kaihui Gao; Dan Li 001; Li Chen 008; Jinkun Geng; Fei Gui; Yang Cheng; Yue Gu (INFOCOM Workshops, 2020)

Geryon: Accelerating Distributed CNN Training by Network-Level Flow Scheduling. - Shuai Wang 028; Dan Li 001; Jinkun Geng (INFOCOM, 2020)

Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction. - Kaihui Gao; Dan Li 001; Li Chen 008; Jinkun Geng; Fei Gui; Yang Cheng; Yue Gu (IWQoS, 2020)

Web Service Recommendation based on Knowledge Graph Convolutional Network and Doc2Vec. - Jinkun Geng; Buqing Cao; Hongfan Ye; Junjie Chen; Mi Peng; Jianxun Liu 001 (SERVICES, 2020)

Web services classification via combining Doc2Vec and LINE model. - Hongfan Ye; Buqing Cao; Jinkun Geng; Yiping Wen (Int. J. Comput. Sci. Eng., 2020)

A Scalable, High-Performance, and Fault-Tolerant Network Architecture for Distributed Machine Learning. - Songtao Wang; Dan Li 001; Yang Cheng; Jinkun Geng; Yanshu Wang; Shuai Wang 028; Shutao Xia; Jianping Wu (IEEE/ACM Trans. Netw., 2020)

CloudEx: a fair-access financial exchange in the cloud. - Ahmad Ghalayini; Jinkun Geng; Vighnesh Sachidananda; Vinay Sriram; Yilong Geng; Balaji Prabhakar; Mendel Rosenblum; Anirudh Sivaraman (HotOS, 2021)

Sphinx: A transport protocol for high-speed and lossy mobile networks. - Junfeng Li; Dan Li 001; Wenfei Wu; K. K. Ramakrishnan; Jinkun Geng; Fanzhao Wang; Kai Zheng 003 (Comput. Networks, 2021)

Accelerating End-to-End Deep Learning Workflow With Codesign of Data Preprocessing and Scheduling. - Yang Cheng; Dan Li 001; Zhiyuan Guo; Binyao Jiang; Jinkun Geng; Wei Bai 001; Jianping Wu; Yongqiang Xiong (IEEE Trans. Parallel Distributed Syst., 2021)

Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks. - Jinkun Geng; Anirudh Sivaraman; Balaji Prabhakar; Mendel Rosenblum (Proc. VLDB Endow., 2022)

Impact of Synchronization Topology on DML Performance: Both Logical Topology and Physical Topology. - Shuai Wang 028; Jinkun Geng; Dan Li 001 (IEEE/ACM Trans. Netw., 2022)

Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. - Runhua Zhang 002; Hongxu Jiang; Fangzheng Tian; Jinkun Geng; Xiaobin Li; Yuhang Ma; Chenhui Zhu; Dong Dong; Xin Li; Haojie Wang (DASFAA (1), 2023)

Diffusion Policies as Multi-Agent Reinforcement Learning Strategies. - Jinkun Geng; Xiubo Liang; Hongzhi Wang 009; Yu Zhao (ICANN (3), 2023)

Light: A Compatible, high-performance and scalable user-level network stack. - Junfeng Li; Dan Li 001; Huiyou Jiang; Du Lin; Jinkun Geng; Yukai Huang; K. K. Ramakrishnan; Kai Zheng 003 (Comput. Networks, 2023)

POSTER: Jasper, A Scalable and Fair Multicast for Financial Exchanges in the Cloud. - Muhammad Haseeb; Jinkun Geng; Ulysses Butler; Xiyu Hao; Daniel Duclos-Cavalcanti; Anirudh Sivaraman (SIGCOMM (Posters and Demos), 2024)

Jasper: Scalable and Fair Multicast for Financial Exchanges in the Cloud. - Muhammad Haseeb; Jinkun Geng; Ulysses Butler; Xiyu Hao; Daniel Duclos-Cavalcanti; Anirudh Sivaraman (CoRR, 2024)

A high-performance dataflow-centric optimization framework for deep learning inference on the edge. - Runhua Zhang 002; Hongxu Jiang; Jinkun Geng; Fangzheng Tian; Yuhang Ma; Haojie Wang (J. Syst. Archit., 2024)

FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]. - Runhua Zhang 002; Hongxu Jiang; Jinkun Geng; Yuhang Ma; Chenhui Zhu; Haojie Wang (CoRR, 2025)