Digital Wideband Excitation Technique for Impedance-Based Structural Health Monitoring Systems. - Jina Kim; Benjamin L. Grisso; Dong S. Ha 001; Daniel J. Inman (ISCAS, 2007)

Effects of Korean learners' consonant cluster reduction strategies on English speech recognition performance. - Hyejin Hong; Jina Kim; Minhwa Chung (INTERSPEECH, 2010)

BreathingFrame: An Inflatable Frame for Remote Breath Signal Sharing. - Jina Kim; Youngwoo Park; Tek-Jin Nam (TEI, 2015)

Who will Subscribe to My Streaming Channel?: The Case of Twitch. - Jina Kim; Kunwoo Bae; Eunil Park; Angel P. del Pobil (CSCW Companion, 2019)

Can AI be a content generator? Effects of content generators and information delivery methods on the psychology of content consumers. - Jina Kim; Soyeon Shin; Kunwoo Bae; Soyoung Oh; Eunil Park; Angel P. del Pobil (Telematics Informatics, 2020)

Cross-cultural comparison of interactive streaming services: Evidence from Twitch. - Soyoung Oh; Jina Kim; Honggeun Ji; Eunil Park; Jinyoung Han; Minsam Ko; Munyoung Lee (Telematics Informatics, 2020)

What books will be your bestseller? A machine learning approach with Amazon Kindle. - Seungpeel Lee; Honggeun Ji; Jina Kim; Eunil Park (Electron. Libr., 2021)

Between comments and repeat visit: capturing repeat visitors with a hybrid approach. - Jina Kim; Yeonju Jang; Kunwoo Bae; Soyoung Oh; Nam Jeong Jeong; Eunil Park; Jinyoung Han; Angel P. del Pobil (Data Technol. Appl., 2021)

SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation. - Zekun Li 007; Jina Kim; Yao-Yi Chiang; Muhao Chen 001 (EMNLP (Findings), 2022)

Thumble: One-Handed 3D Object Manipulation Using a Thimble-Shaped Wearable Device in Virtual Reality. - Changsung Lim; Jina Kim; Myung Jin Kim 001 (UIST (Adjunct Volume), 2022)

Explainable anomaly detection framework for predictive maintenance in manufacturing systems. - Heejeong Choi; Donghwa Kim 001; Jounghee Kim; Jina Kim; Pilsung Kang 001 (Appl. Soft Comput., 2022)

Understanding social resistance to determine the future of Internet of Things (IoT) services. - Jina Kim; Eunil Park (Behav. Inf. Technol., 2022)

Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture. - Honggeun Ji; Jina Kim; Syjung Hwang; Eunil Park (Intell. Autom. Soft Comput., 2022)

Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality service. - Soyoung Oh; Honggeun Ji; Jina Kim; Eunil Park; Angel P. del Pobil (J. Inf. Technol. Tour., 2022)

The First Female Networking Event. - Jina Kim; Min Namgung (ACM SIGSPATIAL Special, 2022)

The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps. - Jina Kim; Zekun Li 007; Yijun Lin 001; Min Namgung; Leeje Jang; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

Towards Learning of Spatial Triad from Online Text. - Jina Kim; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

An Automatic Approach to Finding Geographic Name Changes on Historical Maps. - Rhett M. Olson; Jina Kim; Yao-Yi Chiang (SIGSPATIAL/GIS, 2023)

Swipe-it!: One-handed Thumb-tip Interaction for Text Editing in AR. - Jina Kim; Nicha Vanichvoranun; Hyuckjin Jang; Sang Ho Yoon (ISMAR-Adjunct, 2023)

VibAware: Context-Aware Tap and Swipe Gestures Using Bio-Acoustic Sensing. - Jina Kim; Minyung Kim; Woo Suk Lee; Sang Ho Yoon (VR Workshops, 2023)

Can book covers help predict bestsellers using machine learning approaches? - Seungpeel Lee; Jina Kim; Eunil Park (Telematics Informatics, 2023)

Time-series anomaly detection with stacked Transformer representations and 1D convolutional network. - Jina Kim; Hyeongwon Kang; Pilsung Kang 001 (Eng. Appl. Artif. Intell., 2023)

LAnoBERT: System log anomaly detection based on BERT masked language model. - Yukyung Lee; Jina Kim; Pilsung Kang 001 (Appl. Soft Comput., 2023)

Computational approaches to developing the implicit media bias dataset: Assessing political orientations of nonpolitical news articles. - Seungpeel Lee; Jina Kim; Dongjae Kim; Ki Joon Kim; Eunil Park (Appl. Math. Comput., 2023)

Appraising occupational therapy students' perceptions of virtual reality as a pedagogical innovation. - Jina Kim; Behdin Nowrouzi-Kia; Emily S. Ho; Heather Thomson; Andrea Duncan (Comput. Educ. X Real., 2023)

Adaptive and Immersive XR Interactions with Wearable Interfaces (Demo of KAIST HCI Tech Lab). - Sang Ho Yoon; Youjin Sung; Kun Woo Song; Kyungeun Jung; Kyung Jin Seo; Jina Kim; Hyung Il Yi; Nicha Vanichvoranun; Hanseok Jeong; Hojeong Lee (CHI Extended Abstracts, 2024)

SNeRV: Spectra-Preserving Neural Representation for Video. - Jina Kim; Jihoo Lee; Je-Won Kang (ECCV (55), 2024)

Cough Sound Based Deep Learning Models for Diagnosis of COVID-19 Using Statistical Features and Time-Frequency Spectrum. - Jina Kim; Jinseok Lee (EMBC, 2024)

Automatic Search of Multiword Place Names on Historical Maps. - Rhett M. Olson; Jina Kim; Yao-Yi Chiang (GeoSearch@SIGSPATIAL, 2024)

SEA: Sparse Linear Attention with Estimated Attention Mask. - Heejun Lee; Jina Kim; Jeffrey Willette; Sung Ju Hwang (ICLR, 2024)

HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning. - Heejun Lee; Geon Park; Youngwan Lee; Jina Kim; Wonyoung Jeong; Myeongjae Jeon; Sung Ju Hwang (CoRR, 2024)

Context-Aware Trajectory Anomaly Detection. - Haoji Hu; Jina Kim; Jinwei Zhou; Sofia Kirsanova; JangHyeon Lee 003; Yao-Yi Chiang (CoRR, 2024)

T2IRay: Design of Thumb-to-Index based Indirect Pointing for Continuous and Robust AR/VR Input. - Jina Kim; Yang Zhang 041; Sang Ho Yoon (CHI, 2025)

A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention. - Heejun Lee; Geon Park; Youngwan Lee; Jaduk Suh; Jina Kim; Wonyong Jeong; Bumsik Kim; Hyemin Lee; Myeongjae Jeon; Sung Ju Hwang (ICLR, 2025)

Robust Molecular Property Prediction via Densifying Scarce Labeled Data. - Jina Kim; Jeffrey Willette; Bruno Andreis; Sung Ju Hwang (CoRR, 2025)

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery. - Jina Kim; Leeje Jang; Yao-Yi Chiang; Guanyu Wang; Michelle Pasco (CoRR, 2025)

VRAIL: Vectorized Reward-based Attribution for Interpretable Learning. - Jina Kim; Youjin Jang; Jeongjin Han (CoRR, 2025)