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Congbo Li
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2020 – today
- 2024
- [j27]Xiangfei Zhang, Congbo Li, Jing Zhang, Miao Yang, Wei Wu:
Multi-objective evolutionary algorithm-enabled multi-stage collaborative scheduling for automotive production. Comput. Ind. Eng. 191: 110151 (2024) - [j26]Yunfeng Zhang, Li Li, Changpin Chun, Yifeng Wen, Congbo Li, Gang Xu:
Data-driven Bayesian Gaussian mixture optimized anchor box model for accurate and efficient detection of green citrus. Comput. Electron. Agric. 225: 109366 (2024) - [j25]Miao Yang, Congbo Li, Ying Tang, Wei Wu, Xu Zhang:
A collaborative resequencing approach enabled by multi-core PREA for a multi-stage automotive flow shop. Expert Syst. Appl. 237(Part C): 121825 (2024) - [j24]Jinwen Zhang, Congbo Li, Yongsheng Li, Ningbo Wang, Wei Li:
Energy Consumption Modeling and Optimization of a Hobbing Machine Tool Considering Multi-Axis Coupling. IEEE Trans Autom. Sci. Eng. 21(3): 3289-3297 (2024) - [c23]Yan Xu, Qian Yi, Kai Yi, Congbo Li, Shuping Yi:
Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training. CASE 2024: 3460-3465 - 2023
- [j23]Jinwen Zhang, Congbo Li, Yongsheng Li, Ningbo Wang, Wei Li:
A Minimum-Control-Trajectory-Deviation Time Grid Reconstruction Strategy for Co-Design Approach. J. Comput. Inf. Sci. Eng. 23(4) (2023) - [j22]Miao Yang, Congbo Li, Ying Tang, Maokun Xiong:
Availability-Oriented Maintenance Strategy of Key Equipment in Automated Production Line Considering Performance Degradation. IEEE Robotics Autom. Lett. 8(6): 3182-3189 (2023) - [j21]Congbo Li, Xikun Zhao, Huajun Cao, Li Li, Xingzheng Chen:
A data and knowledge-driven cutting parameter adaptive optimization method considering dynamic tool wear. Robotics Comput. Integr. Manuf. 81: 102491 (2023) - [c22]You Zhang, Congbo Li, Ying Tang, Feng Zhou, Xu Zhang:
Fault Trend Prediction of Centrifugal Blowers Considering Incomplete Data. CASE 2023: 1-6 - 2022
- [j20]Wei Li, Congbo Li, Liang Gao, Mi Xiao:
Risk-based design optimization under hybrid uncertainties. Eng. Comput. 38(3): 2037-2049 (2022) - [j19]Miao Yang, Congbo Li, Wei Wu, You Zhang, Yongsheng Chang:
Multi-Thread CTAEA-Based Workstation Reconfiguration for Multi-Stage Automobile Engine Flow Shop Considering Performance Deterioration. IEEE Robotics Autom. Lett. 7(3): 8052-8060 (2022) - [j18]Xingzheng Chen, Congbo Li, Qingshan Yang, Ying Tang, Lingling Li, Xikun Zhao:
Toward Energy Footprint Reduction of a Machining Process. IEEE Trans Autom. Sci. Eng. 19(2): 772-787 (2022) - [j17]Haoran Zhong, Xinyu Li, Liang Gao, Congbo Li:
Toward Safe Human-Robot Interaction: A Fast- Response Admittance Control Method for Series Elastic Actuator. IEEE Trans Autom. Sci. Eng. 19(2): 919-932 (2022) - [j16]Jin Zhou, Huajun Cao, Pei Jiang, Congbo Li, Hao Yi, Menglin Liu:
Energy-Saving Trajectory Planning for Robotic High-Speed Milling of Sculptured Surfaces. IEEE Trans Autom. Sci. Eng. 19(3): 2278-2294 (2022) - [j15]Yan Lv, Congbo Li, Ying Tang, Yang Kou:
Toward Energy-Efficient Rescheduling Decision Mechanisms for Flexible Job Shop With Dynamic Events and Alternative Process Plans. IEEE Trans Autom. Sci. Eng. 19(4): 3259-3275 (2022) - [j14]Wei Li, Congbo Li, Ningbo Wang, Juan Li, Jinwen Zhang:
Energy Saving Design Optimization of CNC Machine Tool Feed System: A Data-Model Hybrid Driven Approach. IEEE Trans Autom. Sci. Eng. 19(4): 3809-3820 (2022) - [c21]Jing Zhang, Congbo Li, Ying Tang, Miao Yang, De Zhao:
A Collaborative Resequencing Optimization Method for Multi-stage Automotive Production Line Considering Emergency order. SMC 2022: 1224-1229 - 2021
- [j13]Jian Pan, Congbo Li, Ying Tang, Wei Li, Xiaoou Li:
Energy Consumption Prediction of a CNC Machining Process With Incomplete Data. IEEE CAA J. Autom. Sinica 8(5): 987-1000 (2021) - [j12]Xikun Zhao, Congbo Li, Ying Tang, Jiabin Cui:
Reinforcement Learning-Based Selective Disassembly Sequence Planning for the End-of-Life Products With Structure Uncertainty. IEEE Robotics Autom. Lett. 6(4): 7807-7814 (2021) - [j11]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) - [j10]Ying Tang, Congbo Li, Andrea Matta, Qing Chang:
Special Issue on Intelligent Energy Solutions to Sustainable Production and Service Automation. IEEE Trans Autom. Sci. Eng. 18(2): 615-617 (2021) - [j9]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) - 2020
- [j8]Yanhong Wang, Zhigang Jiang, Xiaoli Hu, Congbo Li:
Optimization of reconditioning scheme for remanufacturing of used parts based on failure characteristics. Robotics Comput. Integr. Manuf. 61: 101833 (2020) - [j7]Lingling Li, Congbo Li, Ying Tang, Li Li, Xingzheng Chen:
An Integrated Solution to Minimize the Energy Consumption of a Resource-Constrained Machining System. IEEE Trans Autom. Sci. Eng. 17(3): 1158-1175 (2020) - [c20]Yan Lv, Congbo Li, Ying Tang, Xingzheng Chen, Xikun Zhao:
Towards Lightweight Spindle of CNC Lathe Using Structural Optimization Design for Energy Saving*. CASE 2020: 220-225
2010 – 2019
- 2019
- [j6]Xiuli Wu, Xianli Shen, Congbo Li:
The flexible job-shop scheduling problem considering deterioration effect and energy consumption simultaneously. Comput. Ind. Eng. 135: 1004-1024 (2019) - [j5]Congbo Li, Lingling Li, Ying Tang, Yantao Zhu, Li Li:
A comprehensive approach to parameters optimization of energy-aware CNC milling. J. Intell. Manuf. 30(1): 123-138 (2019) - [c19]Wei Li, Tong Wang, Mi Xiao, Mingzhu Lai, Liang Gao, Congbo Li:
Conditional Value at Riskbased Multidisciplinary Robust Design Optimization. CASE 2019: 30-35 - [c18]Kunkun Peng, Quan-Ke Pan, Ling Wang, Xudong Deng, Congbo Li, Liang Gao:
Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem. CASE 2019: 567-572 - [c17]Yang Kou, Congbo Li, Li Li, Ying Tang, Xiaoou Li:
Energy-efficient rescheduling for the flexible machining systems with random machine breakdown and urgent job arrival. SMC 2019: 409-414 - [c16]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
- [c15]Teng Wan, Xingzheng Chen, Congbo Li, Ying Tang:
An on-line tool wear monitoring method based on cutting power. CASE 2018: 205-210 - [c14]Lingling Li, Li Li, Congbo Li, Ying Tang:
Energy Efficient Process Planning for Resource-Constrained Machining Systems. SMC 2018: 1392-1397 - [c13]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
- [c12]Lingling Li, Congbo Li, Ying Tang, Li Li:
Integration of process planning and cutting parameter optimization for energy-aware CNC machining. CASE 2017: 263-268 - [c11]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 - [c10]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 - 2016
- [c9]Congbo Li, Lingling Li, Ying Tang, Qian Yi, Yantao Zhu:
Operational strategies for energy efficiency improvement of CNC machining. CASE 2016: 1270-1275 - 2015
- [j4]Congbo Li, Ying Tang, Longguo Cui, Pengyu Li:
A quantitative approach to analyze carbon emissions of CNC-based machining systems. J. Intell. Manuf. 26(5): 911-922 (2015) - [c8]Yantao Zhu, Congbo Li, Ying Tang, Li Li:
A comprehensive energy model for CNC machining. CASE 2015: 27-32 - [c7]Xingzheng Chen, Ying Tang, Congbo Li, Qian Yi:
Multi-objective parameter optimization of multi-pass CNC machining. CASE 2015: 45-50 - 2014
- [j3]Li Li, Fei Liu, Congbo Li:
Customer satisfaction evaluation method for customized product development using Entropy weight and Analytic Hierarchy Process. Comput. Ind. Eng. 77: 80-87 (2014) - [c6]Lingling Li, Congbo Li, Ying Tang:
A color petri net based scheduling model for remanufacturing system with stochastic process routing. CASE 2014: 474-479 - 2013
- [j2]Congbo Li, Ying Tang, Chengchuan Li, Lingling Li:
A Modeling Approach to Analyze Variability of Remanufacturing Process Routing. IEEE Trans Autom. Sci. Eng. 10(1): 86-98 (2013) - [c5]Qian Yi, Ying Tang, Congbo Li, Pengyu Li:
Optimization of CNC machine processing parameters for low carbon manufacturing. CASE 2013: 498-503 - [c4]Congbo Li, Ying Tang, Longguo Cui, Qian Yi:
Quantitative analysis of carbon emissions of CNC-based machining systems. ICNSC 2013: 869-874 - 2012
- [c3]Ying Tang, Congbo Li:
Uncertainty management in remanufacturing: A review. CASE 2012: 52-57 - [c2]Qian Yi, Congbo Li, Ying Tang, Qifeng Wang:
A new operational framework to job shop scheduling for reducing carbon emissions. CASE 2012: 58-63 - 2011
- [j1]Li Li, Fei Liu, Congbo Li, Guoan Chen:
Realistic wrinkle generation for 3D face modeling based on automatically extracted curves and improved shape control functions. Comput. Graph. 35(1): 175-184 (2011) - [c1]Congbo Li, Ying Tang, Chengchuan Li:
A GERT-based analytical method for remanufacturing process routing. CASE 2011: 462-467
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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