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)

Reinforcement Learning-Based Selective Disassembly Sequence Planning for the End-of-Life Products With Structure Uncertainty. - Xikun Zhao; Congbo Li; Ying Tang 001; Jiabin Cui (IEEE Robotics Autom. Lett., 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)

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)

Energy Saving Design of Gear Hobbing Machine Based on Analytical Target Cascading: Modeling, Decomposition, and Independent Optimization. - Shaoqing Wu; Congbo Li; Yan Jin 009; Xikun Zhao; Jinwen Zhang (IEEE Trans Autom. Sci. Eng., 2025)

An Integrated Decision-Making Method of Flexible Process Plan and Cutting Parameter Considering Dynamic Machining Resources. - Xikun Zhao; Congbo Li; Ying Tang 001; Yan Lv (IEEE Trans Autom. Sci. Eng., 2025)