STEM
STEM research projects explore topics which include, but are not limited to, agricultural engineering, astrology, biological sciences, climate change, computer science, digitalisation, energy, machine learning, mathematics, physics, robotics and technology.
STEM, Research, The University of Hong Kong, Leadership & Research Laidlaw Scholars, Laidlaw Conference 2025
Fuzzing with Hopper++: Applying LLM to Program Generation and Software Security
The focus of this research is to leverage the power of Generative AI and apply Large Language Model to fuzz testing. Based on the previous interpretative fuzzing project Hopper, this work introduces Hopper++, an enhanced version that incorporates an LLM module to automate fuzzing.
Coding large ellipsoids and investigating linear codes' building methods
My research in the Number Theory lab this summer was linked to two things. First, the problem of sphere packing, and secondly the question of finding a method to build linear codes with good properties. I will soon publish my report so stay tuned !