| A method integrating Taguchi, RSM and MOPSO to CNC machining parameters optimization for energy saving C Li, Q Xiao, Y Tang, L Li Journal of Cleaner Production 135, 263-275, 2016 | 196 | 2016 |
| A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning Q Xiao, C Li, Y Tang, L Li, L Li Energy 166, 142-156, 2019 | 114 | 2019 |
| An Internet of Things based energy efficiency monitoring and management system for machining workshop X Chen, C Li, Y Tang, Q Xiao Journal of cleaner production 199, 957-968, 2018 | 89 | 2018 |
| Meta-reinforcement learning of machining parameters for energy-efficient process control of flexible turning operations Q Xiao, C Li, Y Tang, L Li IEEE Transactions on Automation Science and Engineering 18 (1), 5-18, 2019 | 55 | 2019 |
| Energy efficiency modeling for configuration-dependent machining via machine learning: A comparative study Q Xiao, C Li, Y Tang, X Chen IEEE Transactions on Automation Science and Engineering 18 (2), 717-730, 2020 | 54 | 2020 |
| Multi-component energy modeling and optimization for sustainable dry gear hobbing Q Xiao, C Li, Y Tang, J Pan, J Yu, X Chen Energy 187, 115911, 2019 | 53 | 2019 |
| Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times L Zhang, Y Feng, Q Xiao, Y Xu, D Li, D Yang, Z Yang Journal of Manufacturing Systems 71, 257-273, 2023 | 39 | 2023 |
| A self-learning and self-optimizing framework for the fault diagnosis knowledge base in a workshop Q Lin, Y Zhang, S Yang, S Ma, T Zhang, Q Xiao Robotics and Computer-Integrated Manufacturing 65, 101975, 2020 | 27 | 2020 |
| A framework for energy monitoring of machining workshops based on IoT X Chen, C Li, Y Tang, L Li, Q Xiao Procedia CIRP 72, 1386-1391, 2018 | 27 | 2018 |
| Adaptive optimal process control with actor-critic design for energy-efficient batch machining subject to time-varying tool wear Q Xiao, Z Yang, Y Zhang, P Zheng Journal of Manufacturing Systems 67, 80-96, 2023 | 15 | 2023 |
| Graph convolutional reinforcement learning for advanced energy-aware process planning Q Xiao, B Niu, B Xue, L Hu IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (5), 2802-2814, 2022 | 11 | 2022 |
| Deep learning based modeling for cutting energy consumed in CNC turning process Q Xiao, C Li, Y Tang, Y Du, Y Kou 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 11 | 2018 |
| Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method L Zhang, Z Yang, Q Xiao, Y Guo, Z Ying, T Hu, X Xu, S Khan, K Li Energy and AI 16, 100340, 2024 | 8 | 2024 |
| Enhanced multi-objective marine predator algorithm for dynamic economic-grid fluctuation dispatch with plug-in electric vehicles W Yang, X Zhu, Q Xiao, Z Yang Energy 282, 128901, 2023 | 8 | 2023 |
| Chaos Moth Flame Algorithm for Multi-Objective Dynamic Economic Dispatch Integrating with Plug-In Electric Vehicles W Yang, X Zhu, F Nie, H Jiao, Q Xiao, Z Yang Electronics 12 (12), 2742, 2023 | 5 | 2023 |
| Policy manifold generation for multi-task multi-objective optimization of energy flexible machining systems X Qinge, B Niu, C Ying IISE Transactions 54 (5), 448-463, 2022 | 5 | 2022 |
| Process route optimization for generalized energy efficiency and production time in machining system Y Tang, Q Yang, C Li, Q Xiao, X Chen 2019 IEEE International Conference on Service Operations and Logistics, and …, 2019 | 3 | 2019 |
| An investigation into the dependence of energy efficiency on CNC process parameters with a sustainable consideration of electricity and materials Q Xiao, C Li, X Chen, Y Tang 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 3 | 2017 |
| Q-learning based particle swarm optimization with multi-exemplar and elite learning H Qiu, B Xue, Q Xiao, B Niu International Conference on Intelligent Computing, 310-321, 2023 | 2 | 2023 |
| An industrial data based investigation into effects of process parameters on cutting power and energy efficiency Q Xiao, C Li, Q Yi, Q Wang 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 1481 …, 2017 | 1 | 2017 |
