Xiang Liang

Xiang Liang is a senior engineer and researcher at ByteDance, where he currently leads the Seed Foundation team responsible for the company's large language model development. He holds a Ph.D. in machine learning and data mining from the Institute of Automation at the Chinese Academy of Sciences and joined ByteDance in 2016 after prior roles at Hulu and CreditEase. He is known for his early work in recommender systems, including authoring a book on the topic, and has presented on scaling large language model training to over 10,000 GPUs at USENIX NSDI 2024.