A zero-shot prediction method based on causal inference under non-stationary manufacturing environments for complex manufacturing systems. - Jiaqi Hua; Yingguang Li; Changqing Liu; Lihui Wang 001 (Robotics Comput. Integr. Manuf., 2022)

A Meta-Invariant Feature Space Method for Accurate Tool Wear Prediction Under Cross Conditions. - Changqing Liu; Yingguang Li; Jingjing Li; Jiaqi Hua (IEEE Trans. Ind. Informatics, 2022)

Tool wear dataset of NUAA_Ideahouse. - Yingguang Li; Changqing Liu; Dehua Li; Jiaqi Hua; Peng Wan (IEEE DataPort, 2022)

Physics-Informed Neural Networks With Weighted Losses by Uncertainty Evaluation for Accurate and Stable Prediction of Manufacturing Systems. - Jiaqi Hua; Yingguang Li; Changqing Liu; Peng Wan; Xu Liu 019 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning. - Jiaqi Hua; Wanxu Wei (CoRR, 2025)