Shinjae Yoo

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 105

Top Venues

Publications

Vijayalakshmi Saravanan, Perry Siehien, Shinjae Yoo, Hubertus Van Dam, Thomas Flynn, Christopher Kelly, Khaled Z. Ibrahim
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM. CoRR (2024)
Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024)
Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information. CoRR (2024)
Ying Zhang, Meng Yue, Jianhui Wang, Shinjae Yoo
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction. CoRR (2024)
Shubha R. Kharel, Prashansa Mukim, Piotr Maj, Grzegorz W. Deptuch, Shinjae Yoo, Yihui Ren, Soumyajit Mandal
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence. CoRR (2024)
Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. CoRR (2024)
Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin
INSURE: An Information Theory iNspired diSentanglement and pURification modEl for Domain Generalization. IEEE Trans. Image Process. 33 (2024)
Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
Quantum Federated Learning with Quantum Networks. ICASSP (2024)
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
Federated Quantum Machine Learning with Differential Privacy. ICASSP (2024)
Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. ICLR (2024)
Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160 (2024)
William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. ICASSP (2024)
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
Correction to: Stochastic projective splitting. Comput. Optim. Appl. 87 (2) (2024)
Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. AAAI (2024)
Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. AAAI (2024)
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. CoRR (2024)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
Federated quantum long short-term memory (FedQLSTM). Quantum Mach. Intell. 6 (2) (2024)
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
Stochastic projective splitting. Comput. Optim. Appl. 87 (2) (2024)
William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning. CoRR (2024)
Carlos Soto, Shinjae Yoo
An extensible point-based method for data chart value detection. CoRR (2023)
Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. CoRR (2023)
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. SC Workshops (2023)
Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR (2023)
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. WACV (2023)
Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. CoRR (2023)
Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
SwiFT: Swin 4D fMRI Transformer. CoRR (2023)
Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization. CoRR (2023)
Hao Huang, Shinjae Yoo
Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. PAKDD (4) (2023)
Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
SwiFT: Swin 4D fMRI Transformer. NeurIPS (2023)
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
Federated Quantum Machine Learning with Differential Privacy. CoRR (2023)
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
Federated Quantum Long Short-term Memory (FedQLSTM). CoRR (2023)
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA (2023)
Zhiqing Sun, Yiming Yang, Shinjae Yoo
A Neural PDE Solver with Temporal Stencil Modeling. ICML (2023)
Xihaier Luo, Ahsan Kareem, Shinjae Yoo
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing. CoRR (2023)
Zhiqing Sun, Yiming Yang, Shinjae Yoo
A Neural PDE Solver with Temporal Stencil Modeling. CoRR (2023)
Hong Wang, Yuefan Deng, Shinjae Yoo, Yuewei Lin
Exploring Robust Features for Improving Adversarial Robustness. CoRR (2023)
Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. CoRR (2023)
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. CoRR (2023)
Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
Quantum Federated Learning With Quantum Networks. CoRR (2023)
Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus van Dam, Deyu Lu
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR (2023)
Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. BioNLP@ACL (2023)
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR (2023)
Zhiqing Sun, Yiming Yang, Shinjae Yoo
Sparse Attention with Learning to Hash. ICLR (2022)
Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing. CoRR (2022)
Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information. Big Data (2022)
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. CoRR (2022)
Hao Huang, Tapan Shah, Shinjae Yoo
Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. Big Data (2022)
Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM (2022)
Sandeep Miryala, Md. Adnan Zaman, Sandeep Mittal, Yihui Ren, Grzegorz Deptuch, Gabriella Carini, Sioan Zohar, Shinjae Yoo, Jack Fried, Jin Huang, Srinivas Katkoori
Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications. ISQED (2022)
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
Quantum Long Short-Term Memory. ICASSP (2022)
Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
A Bayesian Deep Learning Approach to Near-Term Climate Prediction. CoRR (2022)
Hao Huang, Shinjae Yoo, Chenxiao Xu
Deep Clustering based on Bi-Space Association Learning. ACM Multimedia (2021)
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. CoRR (2021)
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
Hybrid Quantum-Classical Graph Convolutional Network. CoRR (2021)
Hao Huang, Chenxiao Xu, Shinjae Yoo
Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. SAC (2021)
Samuel Yen-Chi Chen, Shinjae Yoo
Federated Quantum Machine Learning. Entropy 23 (4) (2021)
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers. CoRR (2021)
Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. CoRR (2021)
Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga
Feature Importance in a Deep Learning Climate Emulator. CoRR (2021)
Chenxiao Xu, Hao Huang, Shinjae Yoo
A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. IJCNN (2021)
Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. ICCV (2021)
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Samuel Yen-Chi Chen, Shinjae Yoo
Federated Quantum Machine Learning. CoRR (2021)
Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu
Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. IJCNN (2021)
William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo
Quantum machine learning with differential privacy. CoRR (2021)
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu
Flight data anomaly detection and diagnosis with variable association change. SAC (2021)
Zichao (Wendy) Di, Esteban Rangel, Shinjae Yoo, Stefan M. Wild
Hierarchical Analysis of Halo Center in Cosmology. ICCS (1) (2021)
Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa
Access Patterns to Disk Cache for Large Scientific Archive. SNTA@HPDC (2021)
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. ICMLA (2021)
Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald
In situ compression artifact removal in scientific data using deep transfer learning and experience replay. Mach. Learn. Sci. Technol. 2 (2) (2021)
Siwu Liu, Ji Hwan Park, Shinjae Yoo
Efficient and Effective Graph Convolution Networks. SDM (2020)
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
Bounding the expected run-time of nonconvex optimization with early stopping. UAI (2020)
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. CoRR (2020)
Siwu Liu, Chenxiao Xu, Ying Liu, Dimitrios Katramatos, Shinjae Yoo
Electricity Load Forecasting with Collective Echo State Networks. SmartGridComm (2020)
Atanu Acharya, Rupesh Agarwal, Matthew B. Baker, Jérôme Baudry, Debsindhu Bhowmik, Swen Böhm, Kendall G. Byler, Sam Yen-Chi Chen, Leighton Coates, Connor J. Cooper, Omar Demerdash, Isabella Daidone, John D. Eblen, Sally R. Ellingson, Stefano Forli, Jens Glaser, James C. Gumbart, John Gunnels, Oscar R. Hernandez, Stephan Irle, D. W. Kneller, A. Kovalevsky, Jeffrey M. Larkin, Travis J. Lawrence, Scott LeGrand, Shih-Hsien Liu, Julie C. Mitchell, Gilchan Park, Jerry M. Parks, Anna Pavlova, Loukas Petridis, Duncan Poole, Line Pouchard, Arvind Ramanathan, David M. Rogers, Diogo Santos-Martins, Aaron Scheinberg, Ada Sedova, Y. Shen, Jeremy C. Smith, Micholas Dean Smith, Carlos Soto, Aristides Tsaris, Mathialakan Thavappiragasam, Andreas F. Tillack, Josh Vincent Vermaas, Van Quan Vuong, Junqi Yin, Shinjae Yoo, Mai Zahran, Laura Zanetti Polzi
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. J. Chem. Inf. Model. 60 (12) (2020)
Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha
3D distributed deep learning framework for prediction of human intelligence from brain MRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Andrew Kalukin, Satoshi Endo, Russell Crook, Manoj Mahajan, Robert Fennimore, Alice Cialella, Laurie Gregory, Shinjae Yoo, Wei Xu, Daniel Cisek
Image Collection Simulation Using High-Resolution Atmospheric Modeling. Remote. Sens. 12 (19) (2020)
Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. CIKM (2020)
Christopher Kelly, Sungsoo Ha, Kevin A. Huck, Hubertus Van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, Nicholas D'Imperio, Wei Xu, Shinjae Yoo, Kerstin Kleese van Dam
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV@SC (2020)
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
Quantum Long Short-Term Memory. CoRR (2020)
Ji Hwan Park, Han Eol Cho, Jong Hun Kim, Melanie M. Wall, Yaakov Stern, Hyunsun Lim, Shinjae Yoo, Hyoung Seop Kim, Jiook Cha
Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data. npj Digit. Medicine 3 (2020)
Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR (2020)
Sagnik Basumallik, Ying Liu, Dimitrios Katramatos, Shinjae Yoo
Real-Time Distribution State Estimation with Massive µPMU Streaming Data. ISGT (2020)
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
Bounding the expected run-time of nonconvex optimization with early stopping. CoRR (2020)
Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS (2019)
Cong Xie, Wonyong Jeong, Gyorgy Matyasfalvi, Hubertus Van Dam, Klaus Mueller, Shinjae Yoo, Wei Xu
Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications. ICCS (1) (2019)
David Ojika, Ann Gordon-Ross, Herman Lam, Shinjae Yoo, Younggang Cui, Zhihua Dong, Kirstin Kleese van Dam, Seyong Lee, Thorsten Kurth
PCS: A Productive Computational Science Platform. HPCS (2019)
Hao Huang, Shinjae Yoo, Yunwen Xu
Failure Analysis on Multivariate Time-series Data given Uncertain Labels. MLDM (2) (2019)
Chenxiao Xu, Hao Huang, Shinjae Yoo
Scalable Causal Graph Learning through a Deep Neural Network. CIKM (2019)
Hao Huang, Shinjae Yoo, Yunwen Xu
System Deterioration Detection and Root Cause Learning on Time Series Graphs. CIKM (2019)
Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. CoRR (2019)
Carlos Soto, Shinjae Yoo
Visual Detection with Context for Document Layout Analysis. EMNLP/IJCNLP (1) (2019)
Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo
Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR (2019)
Hao Huang, Chenxiao Xu, Shinjae Yoo
Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. ICDM (2019)
Thomas Flynn, Shinjae Yoo
Change Detection with the Kernel Cumulative Sum Algorithm. CDC (2019)
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. PMBS@SC (2019)
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. CoRR (2019)
Shilpi Bhattacharyya, Dimitrios Katramatos, Shinjae Yoo
Why wait? Let us start computing while the data is still on the wire. Future Gener. Comput. Syst. 89 (2018)

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Publication Activity (10 Years)

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Shinjae Yoo