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Dr. Qingni Yuan, Ph.D.
Professor and Doctoral Supervisor
2016 - Present
Ministry of Education, Guizhou University
Guizhou
China
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Dr. Qingni Yuan received the Ph.D. degree in mechanical manufacturing and automation from Southwest Jiaotong University, Sichuan, China, in 2010. From December 2014 to 2015, she was a Visiting Ph.D. Student with the Department of Computer Science, New Jersey Institute of Technology, USA.
Since 2009, she has been with the School of Mechanical Engineering, Guizhou University, and since 2016, also has been with Key Laboratory of The Ministry of Education of Modern Manufacturing Technology, and State Key Laboratory of Public Big Data, where She is currently a Professor and a Doctoral Supervisor. And she is currently Top-notch talent in science and technology in Guizhou Province, National Torch Program evaluation database expert, Guizhou province big data development database expert. Her primary research interests include intelligent robotics, evolutionary algorithm, and digital manufacturing.
- Intelligent Robotics
- Evolutionary Algorithm
- Digital Manufacturing
- Tao Hu, Qingsheng Xie, Qingni Yuan*, Jian Lv, Qiaoqiao Xiong. Design of Ethnic Patterns Based on Shape Grammar and Artificial Neural Network [J]. Alexandria Engineering Journal, 2020, https://doi.org/10.1016 /j.aej.2020.11.013.
- Qipeng Chen, Qingsheng Xie, Qingni Yuan*, Haisong Huang. Research on a Real-Time Monitoring Method for the Wear State of a Tool Based on a Convolutional Bidirectional LSTM Model[J]. Symmetry 2019, 11(10), 1233.( Retrieval number: 000495457600047, included in SCI area four, IF=1.617)
- Guidong Tian, Qingni Yuan*, Thao Hu, Yi shi. Auto-Generation System Based on Fractal Geometry for Batik Pattern Design [J]. Appl. Sci. 2019, 9(11), 2383. (Retrieval number: 000472641200211, SCI Zone 3, IF=1.82)
- Lizhang Xu, Qingsheng Xie*, Qingni Yuan. An Intelligent Optimization Algorithm for Blocking Flow-shop Scheduling Based on Differential Evolution [J]. International Journal of Simulation Modeling, 2019, 18(4): 678-688. (Retrieve No.: 000500961000011, SCI area four, IF=0.98)
- Qingni Yuan, Songhua Xu, Jian Lv. A new method for retrieving batik shape patterns [J]. Journal of the Association for Information Science and Technology (JASIST), 2018.69(4): 578-599. (Retrieval number: 000426735100007, SCI District 2, IF=2.78)
- Hu Tao, Lv Jian, Xie Qingsheng, Sun Hui, Yuan Qingni. A novel human behavior information coding method based on eye-tracking technology [J]. TRAITEMENT DU SIGNAL, 2017.34(3-4): 153-173. (Retrieval number: 000469311500003, SCI area four, IF=0.3)
- Chen Qipeng, Xie Qingsheng, Yuan Qingni*, Huang Haisong. Research on real-time monitoring method of tool wear state based on deep gated recurrent unit neural network[J]. Computer Integrated Manufacturing Systems, 2020.26(7):1782-1793. (DOI:10.13196/j.cims.2020.07.007)
- Shi Yi, Yuan Qingni*, Tian Guidong, et al. Manipulator trajectory control based on improved differential evolution algorithm[J]. Combined Machine Tool and Automated Machining Technology, 2020(10):103-105.
- Huang Xin, Yuan Qingni*, Li Siliang. Research on cable path planning based on improved RRT algorithm[J/OL]. Computer Simulation: 1-6[2020-03-27]. http://kns.cnki.net/kcms/detail/11.3724.TP.20191114.1038.058.html. (Chinese Core)
- Li Siliang, Yuan Qingni, Hu Lai, et al. Research on multi-level assembly path planning for complex assemblies[J]. Computer Simulation, 2020, 37(3): 178-182,242.
- Li Siliang, Yuan Qingni, Hu Lai, et al. Research on path planning based on improved A* algorithm based on human-computer interaction[J]. Modular Machine Tool and Automated Machining Technology, 2019, (6): 38-41, 44. DOI: 10.13462/j.cnki.mmtamt.2019.06.011.
- Xu Hui, Yuan Qingni*. Simulation of transformer fault diagnosis in mine power system[J]. Computer Simulation, 2019, 36(01): 437-440+479. (Chinese Core)
- Xu Hui, Yuan Qingni*, Xie Yongkang. Fault modeling, diagnosis and simulation of electromechanical system of palletizing robot[J]. Computer Simulation, 2018, 35(12): 291-295. (Chinese Core)
- Yuan Qingni*, Xie Yongkang, Yang Jing, et al. Design method of visual intelligent warehousing system based on Internet of Things [J]. Modular Machine Tool and Automation Processing Technology, 2018, (6): 110-113. (Chinese core)