Publications

DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction

Enver Menadjiev, Jihyeon Seong, Jisu Yeo, and Jaesik Choi

International Conference on Machine Learning (ICML), 2026.Time series

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Towards Transparent Time Series Analysis: Exploring Methods and Enhancing Interpretability

Youngjin Park, Anh Tong, Sehyun Lee, Jihyeon Seong, Qin Xie and Jaesik Choi

ACM Computing Surveys, 2026.Explainable AITime series

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xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

Artyom Stitsyuk and Jaesik Choi

AAAI Conference on Artificial Intelligence (AAAI), 2025.Time seriesWeather and climate

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Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning

Jihyeon Seong, Sekwang Oh and Jaesik Choi

International Joint Conference on Artificial Intelligence (IJCAI), 2024.Time seriesReinforcement learning

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Towards Diverse Perspective Learning with Select over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim and Jaesik Choi

AAAI Conference on Artificial Intelligence (AAAI), 2024.Time series

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Capsule Neural Networks as Noise Stabilizer for Time Series Data

김소연, 성지현, 한현경, 최재식

정보과학회 논문지(Journal of KIISE), 2024.Time series

Capsule Neural Networks as Noise Stabilizer for Time Series Data

김소연, 성지현, 한현경, 최재식

한국컴퓨터종합학술대회(KCC), 2023. (우수논문상)Time series

Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes

Sohee Cho*, Wonjoon Chang*, GinKyeng Lee and Jaesik Choi

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021 (* contributed equally).Explainable AITime seriesData mining

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Conditional Temporal Neural Processes with Covariance Loss

Boseon Yu, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim and Jaesik Choi

International Conference on Machine Learning (ICML), 2021.Time series

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Spatiotemporal characterization of GPCR activity and function during endosomal trafficking pathway

Hyunbin Kim, Hae Nim Lee, Jaesik Choi*, Jihye Seong*

ACS Analytical Chemistry, 2021. (IF: 6.78)Time series

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Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data

Jaesik Choi

ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020 [tutorial link, video]Explainable AITime seriesData mining

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Improved Predictive Deep Temporal Neural Networks with Trend Filtering

Youngjin Park, Deokjun Eom and Jaesik Choi

ACM International Conference on AI in Finance (ICAIF-2020), 2020 [slides].Time series

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Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes

Jiyeon Han*, Kyowoon Lee*, Anh Tong and Jaesik Choi

International Joint Conference on Artificial Intelligence (IJCAI), 2019 (* contributed equally).Time seriesProbabilistic inference

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Discovering Latent Covariance Structure for Multiple Time Series

Anh Tong and Jaesik Choi

International Conference on Machine Learning (ICML), 2019.Time series

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Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series

Yunseong Hwang, Anh Tong and Jaesik Choi

International Conference on Machine Learning (ICML), 2016 (source codes).Time seriesProbabilistic inference

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Reading Documents for Bayesian Online Change Point Detection

Taehoon Kim and Jaesik Choi

Conference on Empirical Methods on Natural Language Processing (EMNLP), 2015. (pdf, source codes)Language modelsTime seriesProbabilistic inference

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Learning Compressive Sensing Models for Big Spatio-Temporal Data

Dongeun Lee and Jaesik Choi

2015 SIAM International Conference on Data Mining (SDM), 2015 (pdf).Time seriesData mining

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Low Complexity Sensing for Big Spatio-Temporal Data

Dongeun Lee and Jaesik Choi

IEEE 2014 International Conference on Big Data (IEEE BigData), 2014 (pdf).Time series

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A Spatio-Temporal Pyramid Matching for Video Retrieval

Jaesik Choi, Ziyu Wang, Sang-Chul Lee and Won J. Jeon

Computer Vision and Image Understanding, 117(6), 2013, 660-669.Time series

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Spatio-Temporal Pyramid Matching for Sports Videos

Jaesik Choi, Won J. Jeon, Sang-Chul Lee

ACM International Conference on Multimedia Information Retrieval (MIR), 2008 (pdf).Time series

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Virtual Sensor-Powered Spatiotemporal Aggregation and Transformation: A Case Study Analyzing Near-Real-Time NEXRAD and Precipitation Gage Data in a Digital Watershed

Yong Liu, David J. Hill, Tarek Abdelzaher, Jin Heo,Jaesik Choi, Barbara Minsker, David Fazio

Environmental Information Management (EIM), 2008.Time seriesWeather and climate