Latent error prediction and fault localization for microservice applications by learning from system trace logs. - Xiang Zhou; Xin Peng 001; Tao Xie 001; Jun Sun 001; Chao Ji; Dewei Liu; Qilin Xiang; Chuan He (ESEC/SIGSOFT FSE, 2019)

MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems. - Dewei Liu; Chuan He; Xin Peng 001; Fan Lin; Chenxi Zhang 003; Shengfang Gong; Ziang Li; Jiayu Ou; Zheshun Wu (ICSE (SEIP), 2021)

No Free Lunch: Microservice Practices Reconsidered in Industry. - Qilin Xiang; Xin Peng 001; Chuan He; Hanzhang Wang; Tao Xie 001; Dewei Liu; Gang Zhang; Yuanfang Cai (CoRR, 2021)

AI Back-End as a Service for Learning Switching of Mobile Apps Between the Fog and the Cloud. - Dionysis Athanasopoulos; Dewei Liu (IEEE Trans. Serv. Comput., 2022)

MyoBit: A Public Dataset Based on An Armband with 16 sEMG Channels for Gesture Recognition under Non-ideal Conditions. - Wei Chen 107; Lihui Feng; Jihua Lu; Bian Wu; Dewei Liu (MMAR, 2023)

Railway Alignment Optimization Based on Multiobjective Bi-Level Programming Considering Ecological Impact. - Dongying Yang; Sirong Yi; Qing He 011; Dewei Liu; Yifeng Wang (IEEE Trans. Intell. Transp. Syst., 2023)

A novel framework for crack segmentation using image augmentation and a CannyNet. - Gang Liu 027; Xuming Li; Jin Di; Rui Sun; Fengjiang Qin; Yi Su; Dewei Liu (Eng. Appl. Artif. Intell., 2025)