I work on low-light computer vision — how detectors and enhancers fail when photons are scarce, and what actually recovers the signal instead of just making the picture brighter.
- PhD student, Computer Science, Youngsan University (from Sep 2026) · advisor: Prof. Jung Minpo
- MSc, Computer Science, Youngsan University — GPA 4.4 / 4.5
- BEng, Computer Science & Technology, Concord University College, Fujian Normal University
- Previously 4 years as a Senior Software Instructor — full-semester CS courses at ~11 universities and enterprise programs, 1,000+ learners
- Based in South Korea / China
DOLENet — Detection-Oriented Low-light Enhancement
first author · journal paper in preparation · 2026–present
Enhancement is usually optimized to look good to humans, then bolted onto a detector. DOLENet asks the opposite question: what should enhancement do if its only consumer is a detector? Current work covers multi-seed YOLOv8 / ExDark experiments, gradient-conflict analysis, and TP/FP/FN error decomposition.
MSc Thesis — Deep-Learning Low-light Image Enhancement
2025–2026
Zero-reference training, local illumination balancing and shadow recovery — without adding inference cost.
paper-Experiment — code behind the thesis work
- Two loss functions of my own design on the Zero-DCE framework:
DarkRegionExposureLoss(region-specific exposure supervision) andHighlightPreservationLoss(guards against over-enhancement) - Benchmarked against Retinexformer and RUAS
- Evaluated on no-reference (NIQE, BRISQUE, LOE) and full-reference (PSNR, SSIM, LPIPS) metrics
chenyujiedev.github.io — personal site: research notes and write-ups
Senior Software Instructor, Fujian Guoke Information Technology (2019–2023) — syllabus design, lectures, labs, assignments, exams and student project supervision. Also built a big-data training program for State Grid Corporation of China. Certified Huawei Instructor (HCIA / HCIP).
| Area | Courses |
|---|---|
| Programming & SE | Java · OOP · Spring Boot · Web Backend · Databases · Microservices · Git |
| AI & Intelligent Systems | Artificial Intelligence · Machine Learning · NLP · PyTorch · Computer Vision · Image Processing |
| Computer Systems | Algorithms · Operating Systems · Computer Architecture · Distributed Systems |
| Data & Emerging Tech | Big Data · Spark · Data Processing · Blockchain |
Graduate coursework kept public for reference: Adaptive CLAHE + Gamma · Advanced Algorithm Design & Analysis · Advanced Distributed Systems · Machine Learning
This repository also hosts the Hexo source for chenyujiedev.github.io.