Design of data backup on distributed memory system based on key-value store using hot/cold data management. - Woochur Kim; Ikhyun Cho; Donghee Min; Chris Sung (RACS, 2014)

HILF: hybrid indoor locating framework. - Daeho Kim; Taegyu Hwang; Sanghoon Choi; Ikhyun Cho; Jiman Hong (RACS, 2014)

Pea-KD: Parameter-efficient and Accurate Knowledge Distillation. - Ikhyun Cho; U Kang (CoRR, 2020)

Regional Precipitation Nowcasting Based on CycleGAN Extension. - Jaeho Choi; Yura Kim; Kwang-Ho Kim; Sung-Hwa Jung; Ikhyun Cho (CoRR, 2022)

PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting. - Jaeho Choi; Yura Kim; Kwang-Ho Kim; Sung-Hwa Jung; Ikhyun Cho (CIKM, 2023)

SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token. - Ikhyun Cho; Yoonhwa Jung; Julia Hockenmaier (EMNLP (Findings), 2023)

Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance. - Ikhyun Cho; Gaeul Kwon; Julia Hockenmaier (EMNLP (Findings), 2024)

Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization. - Yoonhwa Jung; Ikhyun Cho; Shun-Hsiang Hsu; Julia Hockenmaier (CoRR, 2024)

ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers. - Ikhyun Cho; Changyeon Park; Julia Hockenmaier (CoRR, 2024)

The Power of Bullet Lists: A Simple Yet Effective Prompting Approach to Enhancing Spatial Reasoning in Large Language Models. - Ikhyun Cho; Changyeon Park; Julia Hockenmaier (NAACL (Findings), 2025)