An industrial data based investigation into effects of process parameters on cutting power and energy efficiency. - Qinge Xiao; Congbo Li; Qian Yi; Qiulian Wang (CASE, 2017)

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)

Deep Learning Based Modeling for Cutting Energy Consumed in CNC Turning Process. - Qinge Xiao; Congbo Li; Ying Tang 001; Yanbin Du; Yang Kou (SMC, 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)

A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop. - Qi Lin; Yingfeng Zhang; Shangrui Yang; Shuaiyin Ma; Tongda Zhang; Qinge Xiao (Robotics Comput. Integr. Manuf., 2020)

Reorganized Bacterial Foraging Optimization Algorithm for Aircraft Maintenance Technician Scheduling Problem. - Ben Niu 002; Bowen Xue; Tianwei Zhou; Churong Zhang; Qinge Xiao (ICSI (1), 2021)

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)

Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations. - Qinge Xiao; Congbo Li; Ying Tang 001; Lingling Li 003 (IEEE Trans Autom. Sci. Eng., 2021)

An Improved Fireworks Algorithm for Integrated Flight Timetable and Crew Schedule Recovery Problem. - Xiaobing Gan; Tianwei Zhou; Yuhan Mai; Huifen Zhong; Xiuyun Zhang; Qinge Xiao (ICSI (1), 2022)

Q-Learning Based Particle Swarm Optimization with Multi-exemplar and Elite Learning. - Haiyun Qiu; Bowen Xue; Qinge Xiao; Ben Niu 002 (ICIC (1), 2023)

Imitation Learning of Diverse Expert Behaviors for Advanced Machining System Optimizations. - Qinge Xiao; Zhile Yang; Chengke Wu 002; Yuanjun Guo (SSCI, 2023)

Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning. - Qinge Xiao; Ben Niu 002; Bing Xue 001; Luoke Hu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Generalizing knowledge enabled fast-adaptive optimization for advanced machining systems. - Qinge Xiao; Chengke Wu 002; Zhile Yang; Yuanjun Guo; Hanping Guo (CASE, 2024)

A self-supervised masked spatial distribution learning method for predicting machinery remaining useful life with missing data reconstruction. - Ben Niu 002; Yi Xiao; Qinge Xiao; Yang Liu 075; Tao Peng; Zhile Yang (Adv. Eng. Informatics, 2025)

Retrieval augmented generation-driven information retrieval and question answering in construction management. - Chengke Wu 002; Wenjun Ding; Qisen Jin; Junjie Jiang; Rui Jiang; Qinge Xiao; Longhui Liao; Xiao Li 003 (Adv. Eng. Informatics, 2025)

Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times. - Hao Wang 133; Wenzheng Lin; Tao Peng 012; Qinge Xiao; Renzhong Tang (Expert Syst. Appl., 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)

Edge-Cloud Cooperation-Driven Intelligent Sustainability Evaluation Strategy Based on IoT and CPS for Energy-Intensive Manufacturing Industries. - Shuaiyin Ma; Yuming Huang; Yanping Chen 006; Qinge Xiao; Jun Xu 032; Jiewu Leng (IEEE Internet Things J., 2025)

CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies. - Wenjie Sun; Chengke Wu 002; Qinge Xiao; Junjie Jiang; Yuanjun Guo; Ying Bi; Xinyu Wu 001; Zhile Yang (IEEE Trans. Artif. Intell., 2025)

AnesFormer: An End-to-End Framework for EEG-Based Anesthetic State Classification. - Qihang Wang; Ying Chen; Qinge Xiao (IEEE Trans. Big Data, 2025)