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2020 – today
- 2024
[c9]Qinge Xiao, Chengke Wu, Zhile Yang, Yuanjun Guo, Hanping Guo:
Generalizing knowledge enabled fast-adaptive optimization for advanced machining systems. CASE 2024: 1650-1655- 2023
- [j4]Qinge Xiao
, Ben Niu, Bing Xue, Luoke Hu:
Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2802-2814 (2023) - [c8]Haiyun Qiu, Bowen Xue, Qinge Xiao, Ben Niu:
Q-Learning Based Particle Swarm Optimization with Multi-exemplar and Elite Learning. ICIC (1) 2023: 310-321 - [c7]Qinge Xiao, Zhile Yang, Chengke Wu, Yuanjun Guo:
Imitation Learning of Diverse Expert Behaviors for Advanced Machining System Optimizations. SSCI 2023: 164-169 - 2022
- [c6]Xiaobing Gan, Tianwei Zhou, Yuhan Mai, Huifen Zhong, Xiuyun Zhang, Qinge Xiao:
An Improved Fireworks Algorithm for Integrated Flight Timetable and Crew Schedule Recovery Problem. ICSI (1) 2022: 329-338 - 2021
- [j3]Qinge Xiao, Congbo Li, Ying Tang, Lingling Li:
Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations. IEEE Trans Autom. Sci. Eng. 18(1): 5-18 (2021) - [j2]Qinge Xiao, Congbo Li, Ying Tang, Xingzheng Chen:
Energy Efficiency Modeling for Configuration-Dependent Machining via Machine Learning: A Comparative Study. IEEE Trans Autom. Sci. Eng. 18(2): 717-730 (2021) - [c5]Ben Niu, Bowen Xue, Tianwei Zhou, Churong Zhang, Qinge Xiao:
Reorganized Bacterial Foraging Optimization Algorithm for Aircraft Maintenance Technician Scheduling Problem. ICSI (1) 2021: 505-512 - 2020
- [j1]Qi Lin, Yingfeng Zhang, Shangrui Yang, Shuaiyin Ma, Tongda Zhang, Qinge Xiao:
A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop. Robotics Comput. Integr. Manuf. 65: 101975 (2020)
2010 – 2019
- 2019
- [c4]Ying Tang, Qingshan Yang, Congbo Li, Qinge Xiao, Xingzheng Chen:
Process Route Optimization for Generalized Energy Efficiency and Production Time in Machining System. SOLI 2019: 110-115 - 2018
- [c3]Qinge Xiao, Congbo Li, Ying Tang, Yanbin Du, Yang Kou:
Deep Learning Based Modeling for Cutting Energy Consumed in CNC Turning Process. SMC 2018: 1398-1403 - 2017
- [c2]Qinge Xiao, Congbo Li, Qian Yi, Qiulian Wang:
An industrial data based investigation into effects of process parameters on cutting power and energy efficiency. CASE 2017: 1481-1486 - [c1]Qinge Xiao, Congbo Li, Xingzheng Chen, Ying Tang:
An investigation into the dependence of energy efficiency on CNC process parameters with a sustainable consideration of electricity and materials. SMC 2017: 1621-1626
Coauthor Index
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