Wonkyo Choe

I am a final-year Ph.D. candidate at the University of Virginia, advised by Prof. Felix Xiaozhu Lin. I work at the intersection of Systems and Machine Learning, building efficient infrastructure that coordinates compute and memory so that large models run faster and at lower cost, from datacenters down to edge and mobile devices.

Before that, I focused on low-level memory optimizations for multi-CPU and persistent-memory systems, studying how data placement across tiered and remote memory shapes performance.

Selected publications

• SpMAP: Transparent Sparsity for LLMs (MobiSys’26)
  Wonkyo Choe, Felix Xiaozhu Lin
  [PDF]

• Proto: A Guided Journey through Modern OS Construction (SOSP’25)
  Wonkyo Choe*, Rongxiang Wang*, Afsara Benazir*, Felix Xiaozhu Lin
  (* = equal contribution)
  [PDF]

• AnA: An Attentive Autonomous Driving System (ASPLOS’25)
  Wonkyo Choe, Rongxiang Wang, Felix Xiaozhu Lin
  [PDF]

Other publications

• RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devices (arxiv)
  Wonkyo Choe, Yangfeng Ji, Felix Xiaozhu Lin
  [PDF]

• Efficient NLP Inference at the Edge via Elastic Pipelining (ASPLOS’23)
  Liwei Guo, Wonkyo Choe, Felix Xiaozhu Lin
  [PDF]

• Rethinking Remote Memory Placement on Large-Memory Systems with Path Diversity (ApSys’21)
  Wonkyo Choe*, Sang-Hoon Kim, Jeongseob Ahn
  [PDF]

• Exploring the Design Space of Page Management for Multi-Tiered Memory Systems (ATC’21)
  Jonghyeon Kim*, Wonkyo Choe, Jeongseob Ahn
  [PDF]

• A Study of Memory Placement on Hardware-Assisted Tiered Memory Systems (CAL’20)
  Wonkyo Choe*, Jonghyeon Kim, Jeongseob Ahn
  [PDF]

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