Sungil Kim

37 papers A* 5A 3Journal 26Unranked 3
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 A conf
Neural Differential Equations for Continuous-Time Analysis.
CIKM
YongKyung Oh, Dongyoung Lim, Sungil Kim
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
Domain-knowledge-informed functional outlier detection for line quality control systems.
Comput. Ind. Eng.
Jong Hwan Mun, Jitae Yoo, Heesun Kim, Nayi Ryu, 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 J jnl
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model.
Stat. Anal. Data Min.
Junsub Jung, Sungil Kim, Heeyoung 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
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning.
Comput. Geosci.
Sungil Kim, Yongjun Hong, Jung-Tek Lim, Kwang Hyun Kim
2023 J jnl
Sensor drift compensation for gas mixture classification in batch experiments.
Qual. Reliab. Eng. Int.
YongKyung Oh, Juhui Lee, Sungil Kim
2021 J jnl
Maximum feasibility estimation.
Inf. Sci.
Sungil Kim
2021 — conf
Multi-channel Convolution Neural Network for Gas Mixture Classification.
ICDM (Workshops)
YongKyung Oh, Sungil Kim
2021 J jnl
New Crypto-Secured Lending System with a Two-Way Collateral Function.
Ledger
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
2019 J jnl
Characteristics of an Implantable Blood Pressure Sensor Packaged by Ultrafast Laser Microwelding.
Sensors
Sungil Kim, Jaesoon Park, Sangkyun So, Sanghoon Ahn, JiYeon Choi, Chiwan Koo, Yeun-Ho Joung
2019 J jnl
Revealing household characteristics using connected home products.
Inf. Sci.
Sungil Kim
2017 J jnl
Early detection of vessel delays using combined historical and real-time information.
J. Oper. Res. Soc.
Sungil Kim, Heeyoung Kim, Yongro Park
2017 J jnl
Incorporation of engineering knowledge into the modeling process: a local approach.
Int. J. Prod. Res.
Heeyoung Kim, Justin T. Vastola, Sungil Kim, Jye-Chyi Lu, Martha A. Grover
2016 J jnl
Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services.
IEEE Intell. Syst.
Sungil Kim, Heeyoung Kim, Younghwan Namkoong
2008 — conf
A Reactive Local Positioning System for Ad Hoc Networks.
SUTC
Sungil Kim, Yoo Chul Chung, Yangwoo Ko, Dongman Lee
2008 J jnl
NAT Issues in the Remote Management of Home Network Devices.
IEEE Netw.
Choongul Park, Kitae Jeong, Sungil Kim, Youngseok Lee
2006 — conf
A fast eye-movement tracking using cross-division algorithm.
EMBC (Supplement)
Jongman Cho, Sungil Kim, Jaehong Lim