Template-guided concolic testing via online learning. - Sooyoung Cha; Seonho Lee; Hakjoo Oh (ASE, 2018)

Forensic analysis of ReFS journaling. - Seonho Lee; Jungheum Park; Hyunuk Hwang; Seungyoung Lee; Sangjin Lee 002; Doowon Jeong (Digit. Investig., 2021)

HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization. - Seonho Lee; Ranggi Hwang; Jongse Park; Minsoo Rhu (IEEE Comput. Archit. Lett., 2023)

DB+-tree: A new variant of B+-tree for main-memory database systems. - Yongsik Kwon; Seonho Lee; Yehyun Nam; Joong Chae Na; Kunsoo Park; Sang K. Cha; Bongki Moon (Inf. Syst., 2023)

Understanding Multi-Granularity for Open-Vocabulary Part Segmentation. - Jiho Choi; Seonho Lee; Seungho Lee; Minhyun Lee; Hyunjung Shim (NeurIPS, 2024)

Data-driven Forecasting of Deep Learning Performance on GPUs. - Seonho Lee; Amar Phanishayee; Divya Mahajan 001 (CoRR, 2024)

Scribble-Guided Diffusion for Training-free Text-to-Image Generation. - Seonho Lee; Jiho Choi; Seohyun Lim; Jiwook Kim; Hyunjung Shim (CoRR, 2024)

Optimal Mission Planning for Multiple Agile Satellites Using Modified Dynamic Programming. - Kimoon Lee; Dong-Jin Kim; Dae-Won Chung; Seonho Lee (J. Aerosp. Inf. Syst., 2024)

Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds. - Seonho Lee; Yeunjun Lee; Kunsoo Park (Proc. VLDB Endow., 2024)

Forecasting GPU Performance for Deep Learning Training and Inference. - Seonho Lee; Amar Phanishayee; Divya Mahajan 001 (ASPLOS (1), 2025)

Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation. - Jiho Choi; Seonho Lee; Minhyun Lee; Seungho Lee; Hyunjung Shim (CVPR, 2025)

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation. - Jiwook Kim; Seonho Lee; Jaeyo Shin; Jiho Choi; Hyunjung Shim (ICLR, 2025)

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

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation. - Seonho Lee; Jiho Choi; Inha Kang; Jiwook Kim; Junsung Park; Hyunjung Shim (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)