Using Machine Learning to Support Debugging with Tarantula. - Lionel C. Briand; Yvan Labiche; Xuetao Liu (ISSRE, 2007)

A Variable Curvature Adaptive Trajectory Planning Method and Experiment for Robotic Belt Grinding of Blisk Surface. - Guijian Xiao; Shulin Chen; Kangkang Song; Xuetao Liu; Yun Huang (ICARM, 2022)

Few-sample Bearing Composite Fault Diagnosis Method Based on Attention and Feature Fusion*. - Xuetao Liu; Hongyan Yang; Peiyao Guo (SAFEPROCESS, 2023)

Research on Method and Experiment of Robotic Belt Grinding for Blisk with High Surface Quality. - Guijian Xiao; Xuetao Liu; Kangkang Song; Zhengyu Yang 005; Tangming Zhang (ICARM, 2023)

A new force-depth model for robotic abrasive belt grinding and confirmation by grinding of the Inconel 718 alloy. - Kangkang Song; Guijian Xiao; Shulin Chen; Xuetao Liu; Yun Huang (Robotics Comput. Integr. Manuf., 2023)

Behavior Recognition of Ship Pilots Based on Multimodal Video Data. - Meng Yu; Jun Zhang; Jiayi Shen; Xuetao Liu (ICNSC, 2024)

PIB Sketch: Accurately Tracking Persistent and Infrequent Flows with Bursty Characteristic. - Xuetao Liu; Jing Shao; Sitan Li; Yilin Zhao; Jiawei Huang 001 (IPCCC, 2024)

Intelligent fault diagnosis based on improved convolutional neural network for small sample and imbalanced bearing data. - Xuetao Liu; Hongyan Yang 001 (Trans. Inst. Meas. Control, 2024)

Research on robotic belt grinding method of blisk for obtaining high surface integrity features with variable inclination angle force control. - Guijian Xiao; Xuetao Liu; Kangkang Song; Tangming Zhang; Yun Huang (Robotics Comput. Integr. Manuf., 2024)

DHHG-TAC: Fusion of Dynamic Heterogeneous Hypergraphs and Transformer Attention Mechanism for Visual Question Answering Tasks. - Xuetao Liu; Ruiliang Dong; Hongyan Yang 001 (IEEE Trans. Ind. Informatics, 2025)