Qinge Xiao

According to our database, Qinge Xiao authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning.

Qinge Xiao, Ben Niu, Bing Xue, Luoke Hu

IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Imitation Learning of Diverse Expert Behaviors for Advanced Machining System Optimizations.

Qinge Xiao, Zhile Yang, Chengke Wu, Yuanjun Guo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Q-Learning Based Particle Swarm Optimization with Multi-exemplar and Elite Learning.

Haiyun Qiu, Bowen Xue, Qinge Xiao, Ben Niu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

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

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

2021

Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations.

Qinge Xiao, Congbo Li, Ying Tang, Lingling Li

IEEE Trans Autom. Sci. Eng., 2021

Energy Efficiency Modeling for Configuration-Dependent Machining via Machine Learning: A Comparative Study.

Qinge Xiao, Congbo Li, Ying Tang, Xingzheng Chen

IEEE Trans Autom. Sci. Eng., 2021

Reorganized Bacterial Foraging Optimization Algorithm for Aircraft Maintenance Technician Scheduling Problem.

Ben Niu, Bowen Xue, Tianwei Zhou, Churong Zhang, Qinge Xiao

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

2020

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

2019

Process Route Optimization for Generalized Energy Efficiency and Production Time in Machining System.

Ying Tang, Qingshan Yang, Congbo Li, Qinge Xiao, Xingzheng Chen

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

2018

Deep Learning Based Modeling for Cutting Energy Consumed in CNC Turning Process.

Qinge Xiao, Congbo Li, Ying Tang, Yanbin Du, Yang Kou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

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

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

An industrial data based investigation into effects of process parameters on cutting power and energy efficiency.

Qinge Xiao, Congbo Li, Qian Yi, Qiulian Wang

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017