A hybrid mechanism-based and data-driven approach for the calibration of physical properties of Ni-based superalloy GH3128. - Hao Sun; Lin Zhou; Shengqiang Zhao; Teng Zhang; Fangyu Peng; Rong Yan (M2VIP, 2021)

A transfer learning based geometric position-driven machining error prediction method for different working conditions. - Teng Zhang; Hao Sun; Lin Zhou; Shengqiang Zhao; Fangyu Peng; Rong Yan (M2VIP, 2021)

Tool wear parameters identification in precision milling using a hybrid model combining cutting forces analytical model and Gaussian process regression method. - Shengqiang Zhao; Lin Zhou; Hao Sun; Fangyu Peng; Rong Yan; Teng Zhang (M2VIP, 2021)

Analysis and inference of stream of dimensional errors in multistage machining process based on an improved semiparametric model. - Hao Sun; Shengqiang Zhao; Teng Zhang; Fangyu Peng; Lin Zhou; Rong Yan (AIM, 2022)

A foreknowledge perception method of multi-stages machining accuracy in aviation turbine shafts based on hidden Markov model and Neural networks*. - Shengqiang Zhao; Hao Sun; Teng Zhang; Fangyu Peng; Rong Yan; Lin Zhou; Hua Zhang (AIM, 2022)

A Knowledge-Embedded End-to-End Intelligent Reasoning Method for Processing Quality of Shaft Parts. - Teng Zhang; Bingbing Li; Hao Sun; Shengqiang Zhao; Fangyu Peng; Lin Zhou; Rong Yan (ICIRA (4), 2022)

A deep transfer regression method based on seed replacement considering balanced domain adaptation. - Teng Zhang; Hao Sun; Fangyu Peng; Shengqiang Zhao; Rong Yan (Eng. Appl. Artif. Intell., 2022)

Sparse Representation of Robotic Machining Deformation Based on Key Points Determination. - Yunan Shan; Shengqiang Zhao; Fangyu Peng; Rong Yan; Xiaowei Tang; Juntong Su; Hao Sun (ICIRA (2), 2024)

A sparse knowledge embedded configuration optimization method for robotic machining system toward improving machining quality. - Teng Zhang; Fangyu Peng; Xiaowei Tang; Rong Yan; Runpeng Deng; Shengqiang Zhao (Robotics Comput. Integr. Manuf., 2024)

In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach. - Hao Sun; Shengqiang Zhao; Fangyu Peng; Rong Yan; Lin Zhou; Teng Zhang; Chi Zhang (J. Intell. Manuf., 2024)

Robotic milling posture adjustment under composite constraints: A weight-sequence identification and optimization strategy. - Shengqiang Zhao; Fangyu Peng; Hao Sun; Rong Yan; Xiaowei Tang; Hua Zhang (Robotics Comput. Integr. Manuf., 2024)

Spatial-temporal feature fusion for intelligent foreknowledge of robotic machining errors. - Teng Zhang; Fangyu Peng; Jianzhuang Wang; Zhao Yang; Xiaowei Tang; Rong Yan; Shengqiang Zhao; Runpeng Deng (Robotics Comput. Integr. Manuf., 2025)

Extremely constrained robotic milling posture active adjustment on curved surface: Divide and conquer strategy with index of generalized accumulative work. - Shengqiang Zhao; Fangyu Peng; Juntong Su; Xiaowei Tang; Teng Zhang; Jiawei Wu 002; Rong Yan (Robotics Comput. Integr. Manuf., 2025)