Measurement Model of Big Data Leakage Risk Tolerance Based on Extended Bayesian Classification Algorithm. - Weisong Chen; Kaixian Zheng; Jingyun Xu; Shengkai Lin; Liju Gan; Yican Wu (CNML, 2023)

XMasq: Low-Overhead Container Overlay Network Based on eBPF. - Shengkai Lin; Peirui Cao; Tianyi Huang; Shizhen Zhao; Quan Tian; Qi Wu; Donghai Han; Xinbing Wang; Chenghu Zhou (CoRR, 2023)

Isolated Scheduling for Distributed Training Tasks in GPU Clusters. - Xinchi Han; Weihao Jiang; Peirui Cao; Qinwei Yang; Yunzhuo Liu; Shuyao Qi; Shengkai Lin; Shizhen Zhao (CoRR, 2023)

Statistical analysis on multi-factors of dynamic plantar pressure to normal subjects. - Shengkai Lin; Runze Zheng; Weijie Zhao 004; Jiuwen Cao; Danping Wang (Biomed. Signal Process. Control., 2023)

LubeRDMA: A Fail-safe Mechanism of RDMA. - Shengkai Lin; Qinwei Yang; Zengyin Yang; Yuchuan Wang; Shizhen Zhao (APNet, 2024)

Development of Virtual Space for Individualized and Optimal Learning. - Keiya Maruko; Shengkai Lin; Kousuke Mouri; Masaru Okamoto; Yukihiro Matsubara (IIAI-AAI, 2024)

LumosCore: Highly Scalable LLM Clusters with Optical Interconnect. - Xinchi Han; Shizhen Zhao; Yongxi Lv; Peirui Cao; Weihao Jiang; Shengkai Lin; Xinbing Wang (CoRR, 2024)

ONCache: A Cache-Based Low-Overhead Container Overlay Network. - Shengkai Lin; Shizhen Zhao; Peirui Cao; Xinchi Han; Quan Tian; Wenfeng Liu; Qi Wu; Donghai Han; Xinbing Wang (NSDI, 2025)

VEP: A Two-stage Verification Toolchain for Full eBPF Programmability. - Xiwei Wu; Yueyang Feng; Tianyi Huang; Xiaoyang Lu; Shengkai Lin; Lihan Xie; Shizhen Zhao; Qinxiang Cao (NSDI, 2025)

vClos: Network contention aware scheduling for distributed machine learning tasks in multi-tenant GPU clusters. - Xinchi Han; Shizhen Zhao; Yongxi Lv; Peirui Cao; Weihao Jiang; Qinwei Yang; Yunzhuo Liu; Shengkai Lin; Bo Jiang 003; Ximeng Liu; Yong Cui 001; Chenghu Zhou; et al. (Comput. Networks, 2025)