Juhyun Park

SCOPE achieves unprecedented efficiency in source-free class unlearning, outperforming all existing methods while eliminating the need for retain data or retraining.

ShuntServe achieves up to 1.42x higher throughput and 31.9% cost efficiency improvements by leveraging heterogeneous GPU clusters for LLM serving.

LENS achieves an impressive 2.15% mean prediction error in latency estimation for LLM inference on NPUs, even without access to microarchitecture details.