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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 

Orcid

Educational Background 🎓

  • Ph.D. in Computer Science
    Institution: Zhejiang University, Hangzhou, China
    Field: Computer Science and Technology
    Completed: Year not specified

Professional Experience 💼

  • 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 🔬

  • Artificial Intelligence (AI)

  • Computer-Aided Design (CAD)

  • 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


Chengfeng Jian | Computer-Aided Design | Best Researcher Award

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