Multi-channel Convolution Neural Network for Gas Mixture Classification. - YongKyung Oh; Sungil Kim (ICDM (Workshops), 2021)

Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy. - YongKyung Oh; Jiin Kwak; JuYoung Lee; Sungil Kim (CoRR, 2021)

Multivariate Times Series Classification Using Multichannel CNN. - YongKyung Oh (IJCAI, 2022)

Sensor drift compensation for gas mixture classification in batch experiments. - YongKyung Oh; Juhui Lee; Sungil Kim (Qual. Reliab. Eng. Int., 2023)

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. - YongKyung Oh; Dongyoung Lim; Sungil Kim (ICLR, 2024)

Invertible Solution of Neural Differential Equations for Analysis of Irregularly-Sampled Time Series. - YongKyung Oh; Dongyoung Lim; Sungil Kim (CoRR, 2024)

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach. - YongKyung Oh; Sungil Kim (Inf. Fusion, 2024)

Multichannel convolution neural network for gas mixture classification. - YongKyung Oh; Chiehyeon Lim; Junghye Lee; Sewon Kim; Sungil Kim (Ann. Oper. Res., 2024)

Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors From AIS Data in Maritime Logistics. - YongKyung Oh; Sungil Kim (IEEE Trans Autom. Sci. Eng., 2024)

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis. - YongKyung Oh; Dong-Young Lim; Sungil Kim (AAAI, 2025)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis. - YongKyung Oh; Alex Bui (CHIL, 2025)

TAOD-Net: Automated detection and analysis of thyroid-associated orbitopathy in facial imagery. - Yongkyung Oh; Giheon Koh; Jiin Kwak; Kyubo Shin; Gi-Soo Kim; Min Joung Lee; Hokyung Choung; Namju Kim; Jae Hoon Moon; Sungil Kim (Comput. Ind. Eng., 2025)

Comprehensive Review of Neural Differential Equations for Time Series Analysis. - YongKyung Oh; Seungsu Kam; Jonghun Lee; Dong-Young Lim; Sungil Kim; Alex Bui (CoRR, 2025)