About me

Zonghui Wen

Hi, I am Zonghui Wen (温宗辉), a Ph.D. student at Xiamen University, supervised by Prof. Liaoni Wu and Prof. Yancheng You.

Previously, I obtained my Master's degree in Computer Technology from Capital Normal University under the supervision of Lecturer Yongxiang Zhang.

My research interests include embodied AI, intelligent agents, and computer vision. I am always happy to connect and collaborate on related research—feel free to reach out.

CV Email Scholar GitHub

35 Citations

4 h-index

5 Publications

Google Scholar metrics, updated July 2026.

Publications

Selected publications

View all on Google Scholar →

Fig. 2 · Original paper

2025 Journal Article

Enhanced YOLOv10 for small object detection with context-aware and adaptive modules

J. Wang, J. Su, Z. Wen, Y. Sun

International Journal of Multimedia Information Retrieval, 14(3), 22

[Scholar] 9 citations

Fig. 5 · Original paper

2023 Journal Article

A lightweight small object detection algorithm based on improved YOLOv5 for driving scenarios

Z. Wen, J. Su, Y. Zhang, M. Li, G. Gan, S. Zhang, D. Fan

International Journal of Multimedia Information Retrieval, 12(2), 38

[Scholar] 18 citations

Fig. 4 · Original paper

2023 Conference Paper · ICANN

Adaptive training strategies for small object detection using anchor-based detectors

S. Zhang, Y. Sun, J. Su, G. Gan, Z. Wen

International Conference on Artificial Neural Networks, 28–39

[Scholar] 4 citations

Fig. 2 · Original paper

2023 Conference Paper · KSEM

SIE-YOLOv5: Improved YOLOv5 for small object detection in drone-captured scenarios

Z. Wen, J. Su, Y. Zhang

International Conference on Knowledge Science, Engineering and Management, 39–46

[Scholar] 4 citations

Fig. 1 · Original paper

2023 Conference Paper · KSEM

Temporal repetition counting based on multi-stride collaboration

G. Gan, J. Su, Z. Wen, S. Zhang

International Conference on Knowledge Science, Engineering and Management

[Scholar]

Open source

Projects

Python · Computer Vision

Calculate Petiole Angle

An open-source Python project for calculating petiole angles. Source code and usage information are available on GitHub.

[GitHub repository]