Prof. Dr. Chengfeng Jian | Computer-Aided Design | Best Researcher Award
Professor at Zhejiang University of Technology, China
Chengfeng Jian is a distinguished academic in the field of computer science, currently serving as a Professor in the Department of Computer Science and Technology at Zhejiang University of Technology, Hangzhou, China. Born in June 1973 in Zhejiang Province, China, he has made significant contributions to the areas of Artificial Intelligence (AI), Computer-Aided Design (CAD), and Cloud Computing.
Publication Profile
Educational Background 
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Ph.D. in Computer Science
Institution: Zhejiang University, Hangzhou, China
Field: Computer Science and Technology
Completed: Year not specified
Professional Experience 
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Professor, Department of Computer Science and Technology
Institution: Zhejiang University of Technology, Hangzhou, China
Role: Engaged in teaching, research, and supervision of graduate students in fields related to AI, CAD, and Cloud Computing.
Research Interests 
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Artificial Intelligence (AI)
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Computer-Aided Design (CAD)
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Cloud Computing
He is actively involved in both the theoretical and applied aspects of these domains, contributing to academic publications and technological innovations.
Conclusion
Chengfeng Jian is a leading academic figure in computer science whose research spans cutting-edge technologies such as AI, CAD, and Cloud Computing. With a solid educational background and a professorship at a reputable university, he continues to influence and contribute to the advancement of technology and education in China.
Publications 
STEP-based model recommendation method for exchanging and reusing digital twins
Journal of Industrial Information Integration, 2025
DOI: 10.1016/j.jii.2025.100839
Authors: Chengfeng Jian, Zhuoran Dai, Jinyu Chen, Meiyu Zhang
A hybrid manufacturing scheduling optimization strategy in collaborative edge computing
Evolutionary Intelligence, 2024
DOI: 10.1007/s12065-022-00786-z
Authors: Zhuoyang Pan, Xianghui Hou, Hao Xu, Lukun Bao, Meiyu Zhang, Chengfeng Jian
GNN-based deep reinforcement learning for MBD product model recommendation
International Journal of Computer Integrated Manufacturing, 2024
DOI: 10.1080/0951192X.2023.2258090
Authors: Yuying Hu, Zewen Sheng, Min Ye, Meiyu Zhang, Chengfeng Jian
Online-learning task scheduling with GNN-RL scheduler in collaborative edge computing
Cluster Computing, 2024
DOI: 10.1007/s10586-022-03957-w
Authors: Chengfeng Jian, Zhuoyang Pan, Lukun Bao, Meiyu Zhang
A novel graph neural networks approach for 3D product model retrieval
International Journal of Computer Integrated Manufacturing, 2023
DOI: 10.1080/0951192X.2022.2104460
Authors: Chengfeng Jian, Yiqiang Lu, Mingliang Lin, Meiyu Zhang
KOA-CLSTM-based real-time dynamic hand gesture recognition on mobile terminal
Signal, Image and Video Processing, 2023
DOI: 10.1007/S11760-022-02395-W
Authors: Xianghui Hou, Sijia Cen, Meiyu Zhang, Chengfeng Jian
QSCC: A Quaternion Semantic Cell Convolution GNN for MBD Product Model Classification
IEEE Transactions on Industrial Informatics, 2023
DOI: 10.1109/TII.2023.3246066
Authors: Chengfeng Jian, Zewen Sheng, Yiqiang Lu, Mingliang Lin, Meiyu Zhang, Xianghui Hou
A high-efficiency learning model for virtual machine placement in mobile edge computing
Cluster Computing, 2022
DOI: 10.1007/S10586-022-03550-1
Authors: Chengfeng Jian, Lukun Bao, Meiyu Zhang
RD-Hand: a real-time regression-based detector for dynamic hand gesture
Applied Intelligence, 2022
DOI: 10.1007/S10489-021-02380-9
Authors: Chengfeng Jian, Xingze Liu, Meiyu Zhang
A cloud edge-based two-level hybrid scheduling learning model in cloud manufacturing
International Journal of Production Research, 2021
DOI: 10.1080/00207543.2020.1779371
Authors: Chengfeng Jian, Jing Ping, Meiyu Zhang