Vincent-Daniel Yun

Graduate Research Assistant at USC

MSCS student at University of Southern California

This is Daniel, a first-year MSAI student at the University of Southern California researching Deep Learning Foundation & LLM Optimization. I’m fortunately supervised by Prof. Sai Praneeth Karimireddy and Prof. Vatsal Sharan from USC. I am also closely working with Prof. Sunwoo Lee from Inha University.

My research focuses on improving optimization, generalization, and model compression techniques to make neural networks lighter, faster, and more efficient in learning from data.

My current research interests:

• Efficient and Effective optimization and training dynamics of neural networks
• Model pruning, quantization, and compression techniques
• Deep learning foundation

My current affiliations include:

• Theory Group at University of Southern California (CS Theory)
• Large-Scale Machine Learning Systems Lab at Inha University (LMLS)
• Open Neural Network Research Lab at MODULABS (OpenNN)

Prior to joining USC, I completed my undergraduate studies in Computer Science and Applied Mathematics at Stony Brook University where I was supervised by Prof. Chao Chen.