Yong Lin

Yong Lin is a final year PhD student advised by Professor Tong Zhang at the Hong Kong University of Science and Technology. His main research focus is on the reliability of deep neural networks (DNNs), including out-of-distributional (OOD) generalization and the alignment of large language models (LLMs) with human preferences. He concentrates on in-depth theoretical analysis as well as comprehensive empirical investigations. Yong has published a series of papers at NeurIPS, ICML, ICLR, and CVPR, with several of them being selected as highlight papers (oral/spotlight). He was awarded the Apple AI/ML PhD fellowship and the Hong Kong PhD fellowship. Before starting his PhD studies, he worked as a Machine Learning Engineer at Alibaba, a prominent company in China similar to Amazon, gaining experience with industrial machine learning applications and the inherent instabilities of DNNs.