Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. - Jaekeol Choi; Euna Jung; Jangwon Suh; Wonjong Rhee (SIGIR, 2021)

Short-Term Traffic Prediction With Deep Neural Networks: A Survey. - Kyungeun Lee; Moonjung Eo; Euna Jung; Yoonjin Yoon; Wonjong Rhee (IEEE Access, 2021)

Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. - Euna Jung; Jaekeol Choi; Wonjong Rhee (WWW, 2022)

Finding Inverse Document Frequency Information in BERT. - Jaekeol Choi; Euna Jung; Sungjun Lim; Wonjong Rhee (CoRR, 2022)

Evaluating Feature Attribution Methods for Electrocardiogram. - Jangwon Suh; Jimyeong Kim; Euna Jung; Wonjong Rhee (CoRR, 2022)

Isotropic Representation Can Improve Dense Retrieval. - Euna Jung; Jungwon Park; Jaekeol Choi; Sungyoon Kim; Wonjong Rhee (PAKDD (3), 2023)

Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank Analysis. - Euna Jung; Jaeill Kim; Jungmin Ko; Jinwoo Park; Wonjong Rhee (IEEE Access, 2024)

Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods. - Jangwon Suh; Jimyeong Kim; Soonil Kwon; Euna Jung; Hyo-Jeong Ahn; Kyung-Yeon Lee; Eue-Keun Choi; Wonjong Rhee (Comput. Biol. Medicine, 2024)

On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations. - Euna Jung; Jaekeol Choi; EungGu Yun; Wonjong Rhee (CoRR, 2024)