YongKyung Oh

28 papers A* 6A 3Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Continuum Dropout for Neural Differential Equations.
AAAI
Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim
2026 A* conf
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification.
AAAI
YongKyung Oh, Dong-Young Lim, Sungil Kim
2026 J jnl
Predicting non-recurrent congestion impact: A pattern-based approach for speed drop ratio prediction using weighted K-nearest neighbors.
Comput. Ind. Eng.
YongKyung Oh, Jiin Kwak, Sungil Kim
2025 A* conf
Comprehensive Review of Neural Differential Equations for Time Series Analysis.
IJCAI
YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex A. T. Bui
2025 J jnl
Comprehensive Review of Neural Differential Equations for Time Series Analysis.
CoRR
YongKyung Oh, Seungsu Kam, Jonghun Lee, Dong-Young Lim, Sungil Kim, Alex Bui
2025 J jnl
Continuum Dropout for Neural Differential Equations.
CoRR
Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim
2025 A* conf
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis.
AAAI
YongKyung Oh, Dong-Young Lim, Sungil Kim
2025 J jnl
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification.
CoRR
YongKyung Oh, Dong-Young Lim, Sungil Kim
2025 A conf
Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations.
CIKM
YongKyung Oh, Seungsu Kam, Dongyoung Lim, Sungil Kim
2025 J jnl
Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations.
CoRR
YongKyung Oh, Seungsu Kam, Dong-Young Lim, Sungil Kim
2025 — conf
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis.
CHIL
YongKyung Oh, Alex A. T. Bui
2025 J jnl
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis.
CoRR
YongKyung Oh, Alex Bui
2025 A conf
Neural Differential Equations for Continuous-Time Analysis.
CIKM
YongKyung Oh, Dongyoung Lim, Sungil Kim
2025 J jnl
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
CoRR
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. 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 C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025 A conf
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification.
CIKM
YongKyung Oh, Dongyoung Lim, Sungil Kim, Alex A. T. Bui
2025 J jnl
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification.
CoRR
YongKyung Oh, Dong-Young Lim, Sungil Kim, Alex A. T. Bui
2025 J jnl
TAOD-Net: Automated detection and analysis of thyroid-associated orbitopathy in facial imagery.
Comput. Ind. Eng.
YongKyung Oh, Giheon Koh, Jiin Kwak, Kyubo Shin, Gi-Soo Kim, Min Joung Lee, Hokyung Choung, Namju Kim, Jae Hoon Moon, Sungil Kim
2025 J jnl
TSSI: Time Series as Screenshot Images for multivariate time series classification using convolutional neural networks.
Comput. Ind. Eng.
YongKyung Oh, Heeyoung Kim, Sungil Kim
2024 J jnl
Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors From AIS Data in Maritime Logistics.
IEEE Trans Autom. Sci. Eng.
YongKyung Oh, Sungil Kim
2024 J jnl
Invertible Solution of Neural Differential Equations for Analysis of Irregularly-Sampled Time Series.
CoRR
YongKyung Oh, Dongyoung Lim, Sungil Kim
2024 J jnl
Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach.
Inf. Fusion
YongKyung Oh, Sungil Kim
2024 J jnl
Multichannel convolution neural network for gas mixture classification.
Ann. Oper. Res.
YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, Sungil Kim
2024 A* conf
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data.
ICLR
YongKyung Oh, Dongyoung Lim, Sungil Kim
2024 J jnl
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data.
CoRR
YongKyung Oh, Dongyoung Lim, Sungil Kim
2023 J jnl
Sensor drift compensation for gas mixture classification in batch experiments.
Qual. Reliab. Eng. Int.
YongKyung Oh, Juhui Lee, Sungil Kim
2022 A* conf
Multivariate Times Series Classification Using Multichannel CNN.
IJCAI
YongKyung Oh
2021 — conf
Multi-channel Convolution Neural Network for Gas Mixture Classification.
ICDM (Workshops)
YongKyung Oh, Sungil Kim
2021 J jnl
Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy.
CoRR
YongKyung Oh, Jiin Kwak, Juyoung Lee, Sungil Kim