Multi-objective parameter optimization of multi-pass CNC machining. - Xingzheng Chen; Ying Tang 001; Congbo Li; Qian Yi (CASE, 2015)

An investigation into the dependence of energy efficiency on CNC process parameters with a sustainable consideration of electricity and materials. - Qinge Xiao; Congbo Li; Xingzheng Chen; Ying Tang 001 (SMC, 2017)

An on-line tool wear monitoring method based on cutting power. - Teng Wan; Xingzheng Chen; Congbo Li; Ying Tang 001 (CASE, 2018)

Process Route Optimization for Generalized Energy Efficiency and Production Time in Machining System. - Ying Tang 001; Qingshan Yang; Congbo Li; Qinge Xiao; Xingzheng Chen (SOLI, 2019)

Towards Lightweight Spindle of CNC Lathe Using Structural Optimization Design for Energy Saving*. - Yan Lv; Congbo Li; Ying Tang 001; Xingzheng Chen; Xikun Zhao (CASE, 2020)

An Integrated Solution to Minimize the Energy Consumption of a Resource-Constrained Machining System. - Lingling Li 003; Congbo Li; Ying Tang 001; Li Li 081; Xingzheng Chen (IEEE Trans Autom. Sci. Eng., 2020)

Energy Efficiency Modeling for Configuration-Dependent Machining via Machine Learning: A Comparative Study. - Qinge Xiao; Congbo Li; Ying Tang 001; Xingzheng Chen (IEEE Trans Autom. Sci. Eng., 2021)

Toward Energy Footprint Reduction of a Machining Process. - Xingzheng Chen; Congbo Li; Qingshan Yang; Ying Tang 001; Lingling Li 003; Xikun Zhao (IEEE Trans Autom. Sci. Eng., 2022)

Fuzzy decision-making approach of hobbing tool and cutting parameters. - Weidong Cao; Xingzheng Chen; Jianjun Ni (Eng. Appl. Artif. Intell., 2023)

A data and knowledge-driven cutting parameter adaptive optimization method considering dynamic tool wear. - Congbo Li; Xikun Zhao; Huajun Cao; Li Li 081; Xingzheng Chen (Robotics Comput. Integr. Manuf., 2023)

Full-coverage path planning for multi-machinery anti-subsidence in partially sinkage-risky fields based on an improved seagull optimization algorithm with simulated annealing. - Jiang Chen; Xingzheng Chen; Shouyong Xie; Wuyi Wang (Comput. Electron. Agric., 2025)

Generative Upper-Level Policy Imitation Learning With Pareto-Improvement for Energy-Efficient Advanced Machining Systems. - Qinge Xiao; Ben Niu 002; Ying Tan 002; Zhile Yang; Xingzheng Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)