Yuetao Chen is a Ph.D. student in Computer Science and Engineering at The Chinese University of Hong Kong, advised by Prof. Hong Xu. His research lies at the intersection of machine learning and computer systems, focusing on efficient and scalable systems for modern ML workloads, including large language model inference, speculative decoding, distributed training, and high-performance computing. His work has appeared in top-tier venues such as MLSys, ASPLOS, PPoPP, and FAST. His paper on Tensor Core-based stencil computation received the Best Paper Award at PPoPP 2024. He has also conducted research at Microsoft Research Asia and contributed to academic services such as EuroSys artifact evaluation.
The MLCommons Rising Stars program is designed to support and connect early-career researchers working at the intersection of machine learning (ML) and systems. Through this initiative, participants engage with a vibrant global community, connect with leaders across academia and industry, and further develop their technical and professional skills.