Jimmy Shong
I am a first-year Master's student at UIUC, advised by Fan Lai . I also had the great fortune working with Prof. Song Han at the MIT HAN lab as a research intern. My research interests lie in ML systems, with a current focus on efficient and fault-tolerant pre-training. Other interests include edge ML and AI for Science.
Experimental results of instruct-tuning Llama3-8B using numerous supervised finetuning (SFT) methods with Llamafactory.
A 4.6M modified ResNet that achieves a 96.1% accuracy on CIFAR-10, a 3% increase over the reported accuracy of the 11.4M ResNet-18 model.
A web tool that allows website owners to scan their websites for vulnerabilities and connect with certified cybersecurity professionals.
A ML package was designed to analyze trajectories of nanodiamonds in macrophages and predict their diffusion type.