Shinjae Yoo
Orcid: 0000-0003-4378-6448
According to our database1,
Shinjae Yoo
authored at least 101 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM.
CoRR, 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
CoRR, 2024
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization.
CoRR, 2023
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.
CoRR, 2023
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing.
CoRR, 2023
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation.
CoRR, 2023
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning, 2023
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
2022
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing.
CoRR, 2022
Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
In situ compression artifact removal in scientific data using deep transfer learning and experience replay.
Mach. Learn. Sci. Technol., 2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021
Int. J. High Perform. Comput. Appl., 2021
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers.
CoRR, 2021
Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation.
Proceedings of the International Joint Conference on Neural Networks, 2021
Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method.
Proceedings of the International Joint Conference on Neural Networks, 2021
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021
2020
Remote. Sens., 2020
Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data.
npj Digit. Medicine, 2020
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.
J. Chem. Inf. Model., 2020
CoRR, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020
3D distributed deep learning framework for prediction of human intelligence from brain MRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training.
CoRR, 2019
Proceedings of the 2019 IEEE/ACM Performance Modeling, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Failure Analysis on Multivariate Time-series Data given Uncertain Labels.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications.
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Future Gener. Comput. Syst., 2018
2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
2016
IEEE Trans. Knowl. Data Eng., 2016
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016
Sensor network based solar forecasting using a local vector autoregressive ridge framework.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Prior knowledge driven Granger causality analysis on gene regulatory network discovery.
BMC Bioinform., 2015
Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
ACM Trans. Knowl. Discov. Data, 2014
Proceedings of the Symposium on Applied Computing, 2014
Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles.
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013
Proceedings of the IEEE Fourth International Conference on Smart Grid Communications, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Modeling personalized email prioritization: classification-based and regression-based approaches.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
IEEE Intell. Syst., 2010
2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
2008
Proceedings of the Natural Language and Information Systems, 2008
2005
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005
2002
An XML Retrieval Model based on Structural Proximities.
Proceedings of the First Workshop of the INitiative for the Evaluation of XML Retrieval (INEX), 2002