Name: Yue Xuebin
Gender: Male
Professional Title: Lecturer
Degree: Ph.D.
Education and Research Work Experience:
1. June 2024–present, Lecturer, Department of Automation, School of Automation and Electrical Engineering, Zhongyuan University of Technology.
2. May 2023–March 2024, Senior Researcher, Ritsumeikan University, Japan.
3. September 2020–March 2023, Ph.D. in Electronic Systems, Ritsumeikan University, Japan.
4. September 2013–September 2020, Laboratory Engineer, Electrical and Information Engineering Laboratory Center, Zhongyuan University of Technology.
5. September 2009–July 2013, Bachelor's degree in Measurement and Control Technology and Instrumentation, Zhongyuan University of Technology.
Research Directions:
1. Computer vision and artificial intelligence
2. Image processing and pattern recognition
Academic Research Projects:
1. Zhongyuan University of Technology, Key Project of the Natural Science Foundation: Research on Generative Restoration of Ancient Documents with Large Missing Areas and the Mechanism of Spatiotemporal Knowledge Evolution, January 2026–December 2029, RMB 50,000, ongoing, Principal Investigator.
2. Henan Provincial Department of Science and Technology, Science and Technology Research Project (No. 252102320281): Research on Intelligent Restoration Technologies for Ancient Documents Based on Multimodal Data Fusion and Knowledge-Driven Methods, January 2025–December 2026, ongoing, Principal Investigator.
3. Japan's Ministry of Education, Culture, Sports, Science and Technology, Grant-in-Aid for Research Activity Start-up (No. 23K18720): Deep-Learning-Based Restoration and Organization of Characters in Ancient Documents and Discovery of Latent Knowledge, August 2023–March 2025, JPY 2.86 million, completed, Principal Investigator.
Representative Papers:
1. Xuebin Yue, Hengyi Li, and Lin Meng. An Ultra-Lightweight Object Detection Network for Empty-Dish Recycling Robots. IEEE Transactions on Instrumentation & Measurement, vol. 72, pp. 1–12, 2023. (CAS Zone 2, IF: 5.9)
2. Xuebin Yue and Lin Meng. YOLO-MSA: A Multi-scale Stereoscopic Attention Network for Empty-Dish Recycling Robots. IEEE Transactions on Instrumentation & Measurement, vol. 72, pp. 1–14, 2023. (CAS Zone 2, IF: 5.9)
3. Xuebin Yue and Lin Meng. YOLO-SM: A Lightweight Single-Class Multi-Deformation Object Detection Network. IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 3, pp. 2467–2480, 2024. (CAS Zone 2, IF: 6.5)
4. Xuebin Yue, Hengyi Li, Yoshiyuki Fujikawa, and Lin Meng. Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition. ACM Journal on Computing and Cultural Heritage, vol. 15, no. 4, pp. 1–20, 2022. (CAS Zone 3, IF: 2.2)
5. Xuebin Yue, Ziming Wang, Ryuto Ishibashi, Hayata Kaneko, and Lin Meng. An unsupervised automatic organization method for Professor Shirakawa’s hand-notated documents of oracle bone inscriptions. International Journal on Document Analysis and Recognition, vol. 27, pp. 583–601, 2024. (CAS Zone 3, IF: 2.5)
Contact:
Email: yuexuebin@zut.edu.cn
