Early-Adaptor: An Adaptive Framework forProactive UVM Memory Management. - Seokjin Go; Hyunwuk Lee; Junsung Kim 002; Jiwon Lee; Myung Kuk Yoon; Won Woo Ro (ISPASS, 2023)

Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs. - Dongho Ha; Lufei Liu; Yuan-Hsi Chou; Seokjin Go; Won Woo Ro; Hung-Wei Tseng 001; Tor M. Aamodt (MICRO, 2024)

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism. - Cheonjun Park; Mincheol Park; Hyunchan Moon; Myung Kuk Yoon; Seokjin Go; Suhyun Kim 001; Won Woo Ro (NeurIPS, 2024)

MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing. - Seokjin Go; Divya Mahajan 001 (CoRR, 2025)

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications. - Seonho Lee; Jihwan Oh; Junkyum Kim; Seokjin Go; Jongse Park; Divya Mahajan 001 (CoRR, 2025)