Jinsung Yoon
Orcid: 0000-0002-5481-5171
According to our database1,
Jinsung Yoon
authored at least 79 papers
between 2016 and 2024.
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On csauthors.net:
Bibliography
2024
J. Field Robotics, August, 2024
Trans. Mach. Learn. Res., 2024
SKQVC: One-Shot Voice Conversion by K-Means Quantization with Self-Supervised Speech Representations.
CoRR, 2024
DBHP: Trajectory Imputation in Multi-Agent Sports Using Derivative-Based Hybrid Prediction.
CoRR, 2024
CoRR, 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
The Design of GNSS/IMU Loosely-Coupled Integration Filter for Wearable EPTS of Football Players.
Sensors, February, 2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records.
npj Digit. Medicine, 2023
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
A Real-Time Keyword Spotting System Based on an End-To-End Binary Convolutional Neural Network in FPGA.
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2023
Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records.
Proceedings of the Conference on Health, Inference, and Learning, 2023
2022
Trans. Mach. Learn. Res., 2022
Trans. Mach. Learn. Res., 2022
npj Digit. Medicine, 2022
A Deep Learning Approach for Fatigue Prediction in Sports Using GPS Data and Rate of Perceived Exertion.
IEEE Access, 2022
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2022
SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.
npj Digit. Medicine, 2021
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
End-to-End Machine Learning Frameworks for Medicine: Data Imputation, Model Interpretation and Synthetic Data Generation.
PhD thesis, 2020
Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN).
IEEE J. Biomed. Health Informatics, 2020
Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks.
IEEE J. Biomed. Health Informatics, 2020
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data.
IEEE Trans. Biomed. Eng., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks.
IEEE Trans. Biomed. Eng., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Machine Learning for Healthcare Conference, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes.
IEEE Trans. Biomed. Eng., 2018
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks.
CoRR, 2018
CoRR, 2018
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors.
CoRR, 2017
Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model.
CoRR, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
CoRR, 2016
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts.
CoRR, 2016
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016