Machine learning for environmental systems · Computer vision · Robotics
中文 · Academic homepage · Google Scholar · ORCID
I am a master's student in Environmental Science and Engineering at Guangxi Normal University. My current interests concern machine learning for environmental data, predictive modelling, and model interpretation, including drinking-water treatment. My undergraduate work in Internet of Things Engineering at Taiyuan University focused on robotic perception and manipulation, computer vision, and AI-assisted diagnosis.
The academic homepage contains the detailed research record and timeline; the public repository directory separates research implementations, application and competition projects, upstream resources, and archives.
| Stage | Institution and field | Period |
|---|---|---|
| Master's | Guangxi Normal University · Environmental Science and Engineering | 2026.08.30–present |
| Undergraduate | Taiyuan University · Internet of Things Engineering | 2021.10–2025.07 |
Graduate advisor: Associate Professor Wenjie Fu (Ph.D., Tsinghua University). Undergraduate research mentors: Zhixian Chen (postdoctoral research, Peking University) and Associate Professor Guanghua Zhang (Ph.D., Tsinghua University).
Undergraduate research training included the TYU Dengshu Robotics Team, the Big Data and Artificial Intelligence Laboratory, and the Shanxi Intelligent Diagnosis and Treatment Industry College.
Master's research
- Machine Learning-Based Prediction and Interpretation of Aluminum and Iron Coagulant Dosages in Drinking Water Treatment. Co-author; submitted to Sustainability, 2026.09.28.
Undergraduate research and follow-up
- Reliability-gated selective reading from visual evidence to admissible measurements for industrial pointer meters. Co-author; submitted to Measurement. Co-authorship notification received 2026.09.30.
- Lightweight Road Crack Detection Model Based on YOLOv8. Second author; published in Shanxi Electronic Technology, 2024.03.
Research record and publication status · Graduate record · Undergraduate record
| Project | Scope | GitHub · International | Gitee · China |
|---|---|---|---|
| Open-Eye | Ocular-motility analysis using classical vision and deep learning | Code | Code |
| Seg_open-eye | Eyelid and ocular-region segmentation for diagnostic analysis | Code | Code |
| EyeMoveAI | Web demonstration and interaction for AI-assisted ocular-motility diagnosis | Code | Code |
| YOLOv5 + CenterNet meter reading | Meter localisation, nine-point detection, and reading estimation | Code | Code |
| P-SSD | SSD experiments with per-class precision, recall, and mAP evaluation | Code | Code |
| Robocup-Start | RoboCup advanced-vision qualification workflow | Code | Code |
All 23 public repositories · Project portfolio
- 14 national-level distinctions: 10 competition awards and 4 innovation-training projects.
- 24 provincial-level distinctions: 18 competition awards and 6 innovation-training projects.
- 6 university scholarships and 5 registered software works.
Award levels, rankings, and individual records are listed in the awards register. These totals belong to the undergraduate stage.