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niansia/README.md

Niansia, working on AI security, computer vision and vision-language models. Yuki, a cat-eared researcher, stands beside a terminal.

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About

I work where AI security, computer vision and vision-language models meet, and I like turning research questions into reproducible tools: every claim should come with the evidence to check it.

  • 🛡️ AI & multimodal security · robustness of multimodal AI · adversarial and failure-mode analysis · content integrity · auditable evaluation
  • 👁️ Vision & multimodal intelligence · computer vision and VLMs · multimodal reasoning and memory · evaluation under real-world uncertainty · reproducible failure analysis

Now

  • ✍️ Preparing submissions to CVPR, ICCV and COLM 2027.
  • ⏪ Zerostel, a flight recorder and time machine for AI coding agents, public since 5 October 2026.
  • 🚀 Taiwan Exam, an Agent Skill for original GSAT practice exams, public since 28 September 2026.
  • 🌙 Built LumiGrid for NTIRE 2025 low-light enhancement: +8.1 dB over the course pipeline it started from.

Featured projects

Zerostel: Flight recorder for AI coding agents: every step logged, every change one undo away. Taiwan Exam: An original AI-written GSAT mock exam, re-solved and typeset as two PDFs. LumiGrid: Luminance-guided curve grids + NAFNet for low light: 24.57 dB on held-out NTIRE 2025 images.
Adversarial Lab: FGSM and PGD attacks in your browser; adversarial training still holds 85% at ε = 0.3. KCrashLab: Simulation-first Windows driver reliability runs that end in independently checkable evidence. ChromaRecover: Local-first recovery of structure carried by subtle colour differences; abstains when unsure.

Tools & activity

Python, PyTorch, OpenCV, scikit-learn, C#, .NET, React, TypeScript, Node.js, SQLite, Git

Yuki the cat trots over my GitHub contribution calendar and eats every day that has contributions; redrawn every day.

@niansia's activity is private