معرفی
Yue Cheng is an Assistant Professor with dual appointments in Computer Science and Data Science at the University of Virginia's School of Engineering and Applied Science. His research explores the intersection of distributed systems and machine learning, focusing on cloud infrastructure optimization.
His work spans serverless computing architectures, distributed machine learning systems, and efficient storage solutions for large models. Recent publications address challenges in GPU resource management, federated learning optimization, and decentralized web infrastructure.
Key innovations include adaptive scheduling algorithms for serverless environments and compression techniques for large language models, demonstrating consistent focus on enhancing computational efficiency in cloud-native systems.
