Jimmy Shong
I am a incoming M.S. in computer science student at UIUC. I am working remotely with Prof. Song Han at the MIT HAN lab as a research intern. My research interests lie in efficient deep learning, with applications in generative AI. Other interests include privacy-preserving ML and computational biology.
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.