Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. - Paul K. J. Park; Baek Hwan Cho; Jin Man Park; Kyoobin Lee; Ha Young Kim; Hyo Ah Kang; Hyun Goo Lee; Jooyeon Woo; Yohan Roh; Won Jo Lee; Chang-Woo Shin; Qiang Wang 023; et al. (ICIP, 2016)

Learning representations for the early detection of sepsis with deep neural networks. - Hye Jin Kam; Ha Young Kim (Comput. Biol. Medicine, 2017)

Instance Segmentation and Object Detection with Bounding Shape Masks. - Ha Young Kim; Ba Rom Kang (CoRR, 2018)

ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module. - Yujin Baek; Ha Young Kim (Expert Syst. Appl., 2018)

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models. - Ha Young Kim; Chang Hyun Won (Expert Syst. Appl., 2018)

Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries. - Taewook Kim; Ha Young Kim (Complex., 2019)

Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning. - Gyeeun Jeong; Ha Young Kim (Expert Syst. Appl., 2019)

Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images. - Youjin Jang; Yonghan Ahn; Ha Young Kim (J. Comput. Civ. Eng., 2019)

Prediction of mutation effects using a deep temporal convolutional network. - Ha Young Kim; Dongsup Kim (Bioinform., 2020)

Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation. - Si Woon Lee; Ha Young Kim (Expert Syst. Appl., 2020)

BshapeNet: Object detection and instance segmentation with bounding shape masks. - Ba Rom Kang; Hyunku Lee; Keunju Park; Hyunsurk Ryu; Ha Young Kim (Pattern Recognit. Lett., 2020)

A Simple Physical-Layer Key Generation Scheme for Power-Line Transmission. - Werner Henkel; Ha Young Kim; Abderraheem M. Turjman; Mathias Bode (ISPLC, 2021)

DeepOption: A novel option pricing framework based on deep learning with fused distilled data from multiple parametric methods. - Ji Hyun Jang; Jisang Yoon; Jungeun Kim; Jinmo Gu; Ha Young Kim (Inf. Fusion, 2021)

Deep-learning-based automated terminology mapping in OMOP-CDM. - Byungkon Kang; Jisang Yoon; Ha Young Kim; Sung Jin Jo; Yourim Lee; Hye Jin Kam (J. Am. Medical Informatics Assoc., 2021)

ADEL: Adaptive Distribution Effective-Matching Method for Guiding Generators of GANs. - Jungeun Kim; Jeongeun Park 003; Ha Young Kim (ACCV (7), 2022)

Pro-Attention: Efficient Probability Distribution Matching-Based Attention Through Feature Space Conversion. - Jongseong Bae; Byung Do Cheon; Ha Young Kim (IEEE Access, 2022)

Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework. - Hyun Jun Park; Youngjun Kim; Ha Young Kim (Appl. Soft Comput., 2022)

"Do not deceive me anymore!" interpretation through model design and visualization for instagram counterfeit seller account detection. - Jeongeun Park 003; Jinmo Gu; Ha Young Kim (Comput. Hum. Behav., 2022)

Ultra-lightweight face activation for dynamic vision sensor with convolutional filter-level fusion using facial landmarks. - Sungsoo Kim; Jeongeun Park 003; Donguk Yang; Dongyup Shin; Jungyeon Kim; Hyunsurk Eric Ryu; Ha Young Kim (Expert Syst. Appl., 2022)

Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization. - Sangrok Lee; Jongseong Bae; Ha Young Kim (CVPR, 2023)

S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences. - Lennart Bastian; Alexander Baumann; Emily Hoppe; Vincent Bürgin; Ha Young Kim; Mahdi Saleh; Benjamin Busam; Nassir Navab (MICCAI (10), 2023)

On the Localization of Ultrasound Image Slices Within Point Distribution Models. - Lennart Bastian; Vincent Bürgin; Ha Young Kim; Alexander Baumann; Benjamin Busam; Mahdi Saleh; Nassir Navab (ShapeMI@MICCAI, 2023)

ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting. - Sangrok Lee; Ha Young Kim (CoRR, 2023)

CSLT-AK: Convolutional-embedded transformer with an action tokenizer and keypoint emphasizer for sign language translation. - Jungeun Kim; Ha Young Kim (Pattern Recognit. Lett., 2023)

"Is Text-Based Music Search Enough to Satisfy Your Needs?" A New Way to Discover Music with Images. - Jeongeun Park 003; Hyorim Shin; Changhoon Oh; Ha Young Kim (CHI, 2024)

Do Topological Characteristics Help in Knowledge Distillation? - Jungeun Kim; Junwon You; Dongjin Lee; Ha Young Kim; Jae-Hun Jung (ICML, 2024)

On Initializing Transformers with Pre-trained Embeddings. - Ha Young Kim; Niranjan Balasubramanian; Byungkon Kang (CoRR, 2024)

TiVaT: Joint-Axis Attention for Time Series Forecasting with Lead-Lag Dynamics. - Junwoo Ha; Hyukjae Kwon; Sungsoo Kim; Kisu Lee; Ha Young Kim (CoRR, 2024)

Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation. - Jungeun Kim; Hyeongwoo Jeon; Jongseong Bae; Ha Young Kim (CoRR, 2024)

Image Is All for Music Retrieval: Interactive Music Retrieval System Using Images with Mood and Theme Attributes. - Jeongeun Park 003; Minchae Kim; Ha Young Kim (Int. J. Hum. Comput. Interact., 2024)

Integrated Recognition Assistant Framework Based on Deep Learning for Autonomous Driving: Human-Like Restoring Damaged Road Sign Information. - Jeongeun Park 003; Kisu Lee; Ha Young Kim (Int. J. Hum. Comput. Interact., 2024)

Human, Do You Think This Painting is the Work of a Real Artist? - Jeongeun Park 003; Hyunmin Kang; Ha Young Kim (Int. J. Hum. Comput. Interact., 2024)

Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion. - Jongseong Bae; Junwoo Ha; Ha Young Kim (CVPR, 2025)

Data Augmentation With Flickering Backgrounds and Instances for Instance Segmentation. - Kisu Lee; Jungeun Kim; Ha Young Kim (IEEE Access, 2025)

Hierarchical multi-modal fusion architecture search for stock market forecasting. - Kisu Lee; Young Jin Kim; Minkyoung Kim; Ha Young Kim (Appl. Soft Comput., 2025)

HeLPNet: Facial structure-aware landmark coordinate regression with heatmap-guided local patch embedding. - Jeongmin Yu; Jongseong Bae; Ha Young Kim (Neurocomputing, 2025)

MVFormer: Diversifying feature normalization and token mixing for efficient vision transformers. - Jongseong Bae; Susang Kim; Minsu Cho; Ha Young Kim (Pattern Recognit. Lett., 2025)

DiffSLT: Enhancing diversity in sign language translation via diffusion model. - JiHwan Moon; Jihoon Park; Jungeun Kim; Jongseong Bae; Hyeongwoo Jeon; Ha Young Kim (Pattern Recognit. Lett., 2025)

Looping In: Exploring Feedback Strategies to Motivate Human Engagement in Interactive Machine Learning. - Hyorim Shin; Jeongeun Park 003; Jeongmin Yu; Jungeun Kim; Ha Young Kim; Changhoon Oh (Int. J. Hum. Comput. Interact., 2025)