TrainFlow: A Lightweight, Programmable ML Training Framework via Serverless Paradigm. - Wenting Tan; Xiao Shi 003; Zhengyu Lei; Dong Liang; Cunchi Lv; Xiaohong Wang; Xiaofang Zhao (NPC, 2022)

Chitu: Accelerating Serverless Workflows with Asynchronous State Replication Pipelines. - Zhengyu Lei; Xiao Shi 003; Cunchi Lv; Xiaobing Yu; Xiaofang Zhao (SoCC, 2023)

Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training. - Wenting Tan; Xiao Shi 003; Cunchi Lv; Xiaofang Zhao (CoRR, 2023)

SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling. - Cunchi Lv; Xiao Shi 003; Dong Liang; Wenting Tan; Xiaofang Zhao (NPC (1), 2024)

An anomaly aware network embedding framework for unsupervised anomalous link detection. - Dongsheng Duan; Cheng Zhang; Lingling Tong; Jie Lu 009; Cunchi Lv; Wei Hou; Yangxi Li; Xiaofang Zhao (Data Min. Knowl. Discov., 2024)

Dilu: Enabling GPU Resourcing-on-Demand for Serverless DL Serving via Introspective Elasticity. - Cunchi Lv; Xiao Shi 003; Zhengyu Lei; Jinyue Huang; Wenting Tan; Xiaohui Zheng; Xiaofang Zhao (ASPLOS (1), 2025)

FZeroTC: fully zero-shot text classification for simultaneously discovering and labeling unseen classes. - Dongsheng Duan; Cunchi Lv; Cheng Zhang; Wei Hou; Lei Shi; Yangxi Li; Xiaofang Zhao (Knowl. Inf. Syst., 2025)