YongKyung Oh

According to our database, YongKyung Oh authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 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

TSSI: Time Series as Screenshot Images for multivariate time series classification using convolutional neural networks.

Yongkyung Oh, Heeyoung Kim, 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 A. T. Bui

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification.

Yongkyung Oh, Dongyoung Lim, Sungil Kim, Alex A. T. Bui

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Neural Differential Equations for Continuous-Time Analysis.

Yongkyung Oh, Dongyoung Lim, Sungil Kim

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations.

Yongkyung Oh, Seungsu Kam, Dongyoung Lim, Sungil Kim

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis.

YongKyung Oh, Alex A. T. Bui

Proceedings of the Conference on Health, 2025

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis.

YongKyung Oh, Dong-Young Lim, Sungil Kim

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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., October, 2024

Multichannel convolution neural network for gas mixture classification.

YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, Sungil Kim

Ann. Oper. Res., August, 2024

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach.

YongKyung Oh, Sungil Kim

Inf. Fusion, 2024

Invertible Solution of Neural Differential Equations for Analysis of Irregularly-Sampled Time Series.

YongKyung Oh, Dongyoung Lim, Sungil Kim

CoRR, 2024

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data.

YongKyung Oh, Dongyoung Lim, Sungil Kim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sensor drift compensation for gas mixture classification in batch experiments.

YongKyung Oh, Juhui Lee, Sungil Kim

Qual. Reliab. Eng. Int., October, 2023

2022

Multivariate Times Series Classification Using Multichannel CNN.

YongKyung Oh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy.

YongKyung Oh, Jiin Kwak, JuYoung Lee, Sungil Kim

CoRR, 2021

Multi-channel Convolution Neural Network for Gas Mixture Classification.

YongKyung Oh, Sungil Kim

Proceedings of the 2021 International Conference on Data Mining, 2021