[P47] Oh, Y., Lim, D., Kim, S. & Bui, A. (2024). Attention-guided Neural Differential Equations Framework for Missingness in Time Series Classification, The 10th Mining and Learning from Time Series (MILETS) Workshop, held in conjunction with the 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2024, Aug 2024. [workshop][poster]
[P46] Oh, Y., Kim, S. & Bui, A. (2024). Deep Interaction Feature Fusion for Robust Human Activity Recognition, 4th International Workshop on Deep Learning for Human Activity Recognition (DL for HAR), held in conjunction with the 33rd International Joint Conference on Artificial Intelligence (IJCAI) 2024, Aug 2024. [workshop][proceeding][slide]
[P45] Oh, Y., & Kim, S. (2024). Enhancing Human Activity Recognition with Comparative Data Fusion and Learning Strategies, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2024, May 2024. [slide]
[P44] Oh, Y., Lim, D., & Kim, S. (2024). Integrating Neural Controlled Differential Equations and Neural Flow for Comprehensive Irregularly-sampled Time Series Analysis, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2024, May 2024. [slide]
[P43] Oh, Y., Lim, D., & Kim, S. (2024). Neural CDE-Flow for Irregular Time Series: Integrating Neural Controlled Differential Equations and Neural Flow for Comprehensive Irregularly-sampled Time Series Analysis, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2024, May 2024. Data Analytics and Information Systems (DAIS) Best Track Paper Competition.[slide]
[P42] Oh, Y., Kam, S., Lim, D., & Kim, S. (2024), Neural Langevin-type Stochastic Differential Equations for Astronomical time series Classification under Irregular Observations, AI4DifferentialEquations in Science Workshop, The Twelfth International Conference on Learning Representations (ICLR) 2024, May 2024. [workshop][poster]
[P41] Oh, Y., Lim, D., & Kim, S. (2024), Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data, The Twelfth International Conference on Learning Representations (ICLR) 2024, May 2024. Spotlight presentation (Notable Top 5%).[slide][poster]
[P40] Oh, Y., Lim, D., & Kim, S. (2024). Invertible Solution of Neural Differential Equations for Analysis of Irregularly-Sampled Time Series. Artificial Intelligence for Time Series (AI4TS) Workshop, The 38th Annual AAAI Conference on Artificial Intelligence 2024, February 2024. [workshop][poster]
[P39] Oh, Y., Kam, S., Lim, D., & Kim, S. (2024), Enhancing Astronomical time series Classification with Neural Stochastic Differential Equations under Irregular Observations, Knowledge Guided ML (KGML) Bridge Program, The 38th Annual AAAI Conference on Artificial Intelligence 2024, February 2024. [workshop][poster]
[P38] Oh, Y., Lim, D., & Kim, S. (2023), Unifying Neural Controlled Differential Equations and Neural Flow for Irregular Time Series Classification. In The Symbiosis of Deep Learning and Differential Equations III. Held in conjunction with Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) 2023, December 2023. [poster]
[P37] Oh, Y., Yoon, K., Park, J., & Kim, S. (2023), Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data, The 11th International Conference on Logistics and Maritime Systems, September 2023. [link]
[P36] Oh, Y., Lim, D. & Kim, S. (2023), Stable Neural Stochastic Differential Equations for Irregular Time Series Classification, Optimization & Machine learning Workshop, Ulsan National Institute of Science & Technology (UNIST), August 2023. [slide]
[P35] Oh, Y. & Kim, S. (2023), Flow-based Neural Differential Equations for Time series Analysis, Conference of Korea Computer Congress 2023 (KCC 2023), June 2023. Best Paper Award - Artificial Intelligence Division.[slide]
[P34] Oh, Y. & Kim, S. (2023), Heterogeneous Model Fusion for Enhanced Sensor-Based Human Activity Recognition, Conference of Korea Computer Congress 2023 (KCC 2023), June 2023. Best Oral Presentation Award - Artificial Intelligence Division.[slide]
[P33] Oh, Y. & Kim, S. (2023), Flow-based Neural Differential Equations for Time series Analysis, Korean Institute of Industrial Engineers (KIIE) Spring Conference 2023, June 2023. [slide]
[P32] Oh, Y. & Kim, S. (2023), Heterogeneous Model Fusion for Enhanced Sensor-Based Human Activity Recognition, Korean Institute of Industrial Engineers (KIIE) Spring Conference 2023, June 2023. [slide]
[P31] Oh, Y., Kim, H. & Kim, S. (2023), Time Series as Screenshot Images for Multivariate Time Series Classification using Convolutional Neural Networks, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2023. [slide]
[P30] Oh, Y., Goh, K., Kwak, J., Shin, K., Kim, G., Lee M., Choung, H., Kim, N., Moon, J. & Kim, S. (2023), Deep Learning Model with Combined Loss for Predicting Thyroid-Associated Orbitopathy Symptoms using Digital Facial Images, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2023. [slide]
[P29] Oh, Y., Koh, G., Shin, K., Moon, J. & Kim, S. (2023), Real-Time Risk Assessment of Thyroid Function Abnormality using Irregularly-Sampled Heart Rate Records, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2023. [slide]
[P28] Oh, Y. & Kim, S. (2023), Irregularly sampled time series classification using neural stochastic differential equation, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2023. [slide]
[P27] Oh, Y. & Kim, S. (2023), Neural Stochastic Differential Equations Based on the Ornstein-Uhlenbeck Process, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2023, May 2023. Data Analytics and Information Systems (DAIS) Best Track Paper Competition.[slide]
[P26] Oh, Y. & Kim, S. (2022), Lifelog data fusion approach for emotion recognition, Conference of Korea Software Congress (KSC) 2022, December 2022. [slide]
[P25] Oh, Y., Koh, G., Shin, K., Moon, J. & Kim, S. (2022), Real-Time Risk Assessment of Thyroid Function Abnormality using Irregularly-Sampled Heart Rate Records, The 7th Joint Conference of Korean Artificial Intelligence Association (JKAIA) 2022, November 2022. [poster]
[P24] Oh, Y. & Kim, S. (2022), Irregularly sampled time series classification using neural stochastic differential equation, The 7th Joint Conference of Korean Artificial Intelligence Association (JKAIA) 2022, November 2022. [poster]
[P23] Oh, Y. & Kim, S. (2022), Irregularly sampled time series classification using neural stochastic differential equation, Korea Data Mining Society (KDMS) Conference 2022, November 2022. [slide]
[P22] Oh, Y. & Kim, S. (2022), Irregularly sampled time series classification using neural stochastic differential equation, Korean Institute of Industrial Engineers (KIIE) Fall Conference 2022, November 2022. [slide]
[P21] Oh, Y., Kwak, J. & Kim, S. (2022), Time Delay Estimation of Traffic Congestion Based on Statistical Causality, The 3rd Workshop on Data-driven Intelligent Transportation (DIT 2022), Held in conjunction with The Thirty-First ACM International Conference on Information and Knowledge Management (CIKM) 2022, October 2022. [workshop][slide]
[P20] Oh, Y. (2022), Multivariate Times Series Classification Using Multichannel CNN, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), Doctoral Consortium. Pages 5865-5866. IJCAI 2022, May 2022. [paper][slide]
[P19] Kwak, J., Oh, Y. & Kim, S. (2022), Incident Duration Estimation Based on Traffic Congestion Pattern Recognition, Korean Institute of Industrial Engineers (KIIE) Spring Conference 2022, June 2022. [slide]
[P18] Koh, G., Oh, Y., Shin, K., Moon, J. & Kim, S. (2022), TAED-Net: Near Ophthalmologist-Level Thyroid Associated Eye Symptom Detection on Frontal Eye Photographs with Deep Learning, Korean Institute of Industrial Engineers (KIIE) Spring Conference 2022, June 2022. [slide]
[P17] Oh, Y. & Kim, S. (2022), Multivariate time series classification using multi channel CNN classifier, Korean Institute of Industrial Engineers (KIIE) Spring Conference 2022, June 2022. [slide]
[P16] Oh, Y., Lee, J. & Kim, S. (2022), Sensor Drift Compensation for Gas Mixture Classification in Batch Experiments, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2022. [slide]
[P15] Oh, Y., Kwak, J., Lee, J. & Kim, S. (2022), A Propagation Prediction Method for Non-recurrent Traffic Congestion, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2022. [slide]
[P14] Oh, Y. & Kim, S. (2021), Multi-channel Convolution Neural Network for Gas Mixture Classification. In 2021 International Conference on Data Mining Workshops (ICDMW) (pp. 1094-1095). IEEE, December 2021. [paper][slide]
[P13] Lee, J., Kwak, J., Oh, Y. & Kim, S. (2021), A Propagation Prediction Method for Non-recurrent Traffic Congestion. Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting 2021, October 2021. [link]
[P12] Oh, Y. & Kim, S. (2021), Multi-channel Convolution Neural Network for Gas Mixture Classification, The 4th Joint Conference of Korean Artificial Intelligence Association (JKAIA) 2021, July 2021. [poster]
[P11] Oh, Y., Lee, J. & Kim, S. (2021), Sensor Drift Compensation for Mixed Gas Classification under Batch Experiments, Korean Institute of Industrial Engineers (KIIE) Spring Conference, May 2021. [slide]
[P10] Oh, Y. & Kim, S. (2021), Commercial Area Analysis using Big data on GIS: Case of YongIn-si, Korean Institute of Industrial Engineers (KIIE) Spring Conference, May 2021. [slide]
[P9] Oh, Y. & Kim, S. (2021), Logistics Anomaly Detection with Maritime Big Data: A Bootstrap Approach, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2021, May 2021. Best paper award - Logistics & Supply Chain Division.[slide]
[P8] Oh, Y. & Kim, S. (2021), Multi-channel Convolution Neural Network for Gas Mixture Classification, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2021. [slide]
[P7] Lee, J., Kwak, J. Oh, Y. & Kim, S. (2020), Congestion Propagation modelling with Graph Neural Network, Korean Institute of Industrial Engineers (KIIE) Fall Conference 2020, November 2020. [slide]
[P6] Oh, Y., Kim, H., Lee, D. & Kim, S. (2020), Simulation-based Anomaly Detection in Nuclear Reactors, Korean Institute of Industrial Engineers (KIIE) Fall Conference 2020, November 2020. [slide]
[P5] Oh, Y., Kim, N. & Kim, S. (2020), Transfer-Learning based approach for mixture gas classification, Korean Institute of Industrial Engineers (KIIE) Fall Conference 2020, November 2020. [slide]
[P4] Oh, Y. & Kim, S. (2020), Logistics Anomaly Detection with Maritime Big Data: A Bootstrap Approach, Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo 2020, November 2020. [slide]
[P3] Oh, Y. & Kim, S. (2019), Exploiting Logistics Anomaly Detection using Maritime Big Data, Korean Institute of Industrial Engineers (KIIE) Fall Conference 2019, November 2019. [slide]
[P2] Oh, Y. & Kim, S. (2019), Exploiting Logistics Anomaly Detection using Maritime Big Data. In IIE Annual Conference. Proceedings (pp. 964-969). Institute of Industrial and Systems Engineers (IISE). Institute of Industrial and Systems Engineers (IISE) Annual Conference & Expo, May 2019. [proceeding][slide]
[P1] Oh, Y. & Kim, S. (2019), Feature Selection for imbalanced data using local interpretation of complete model, Korean Institute of Industrial Engineers (KIIE) Spring Conference 2019, April 2019. [slide]
