Hongseung Yu

M.S. student at Seoul National University

• Email: hongseung (at) snu (dot) ac (dot) kr
• GitHub | LinkedIn

I am Hongseung Yu, a M.S. candidate in Electrical and Computer Engineering (ECE) at Seoul National University, advised by Prof. Kyunghan Lee.

My research centers on efficient computing systems for machine learning, with a focus on LLM inference. I am particularly interested in designing inference systems that are tightly coupled with the underlying environment—hardware and operating systems. My interests also extend to hardware-software co-design and resource-constrained edge computing.

Publications

• 

  mzCache: On-Device LLM Memory Management under Multitasking

  Hongseung Yu, Minsung Kim, Jongseok Park, Kyunghan Lee

  Accepted to ACM MobiCom 2026, Austin, TX, USA | arXiv

  On mobile SoCs with unified memory, the OS evicts an on-device LLM's weights and KV cache under multitasking, and restoring them significantly delays the response. mzCache is the first LLM inference system to manage LLM memory itself rather than leaving it to the OS, reducing Time-to-First-Token by 2.1–5.5× over storage-backed offloading.