Jie Ye

Jie Ye is a PhD candidate in the Department of Computer Science at the Illinois Institute of Technology and a member of the Gnosis Research Center. She is advised by Dr. Xian-He Sun and Dr. Anthony Kougkas. Her research focuses on accelerating LLM/DNN inference; KV cache management and offloading of models and KV caches; advanced data-transfer strategies between training applications and inference systems; optimizing LLM/DNN training; and GPUDirect data transfer.

Research Interests

• Distributed Storage
• Parallel and Distributed Systems
• LLM/DNN Inference Optimization
• LLM KV Cache management
• LLM/DNN Training Optimization

Projects

• DeepIO (2020–present)
• Hermes (2019–present)
• IOWarp (2024–present)
• LABIOS (2022–present)

Publications