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2020 – today
- 2024
[j21]Patrick R. Johnstone, Jonathan Eckstein
, Thomas Flynn, Shinjae Yoo:
Stochastic projective splitting. Comput. Optim. Appl. 87(2): 397-437 (2024)- [j20]Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo:
Correction to: Stochastic projective splitting. Comput. Optim. Appl. 87(2): 439 (2024) - [j19]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) - [j18]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 J. 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: 666-710 (2024) - [j17]Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo:
Federated quantum long short-term memory (FedQLSTM). Quantum Mach. Intell. 6(2): 43 (2024) - [j16]Hong Wang, Yuefan Deng, Shinjae Yoo, Yuewei Lin:
Exploring Robust Features for Improving Adversarial Robustness. IEEE Trans. Cybern. 54(9): 5141-5151 (2024) - [j15]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: 3508-3519 (2024) - [j14]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): 3340-3350 (2024) - [c69]Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo:
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. AAAI 2024: 12574-12582 - [c68]Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha:
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. AAAI 2024: 13310-13319 - [c67]Gilchan Park, Vivek Mutalik, Christopher Neely, Carlos Soto, Shinjae Yoo, Paramvir Dehal:
Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes. BioNLP@ACL 2024: 370-379 - [c66]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: 6875-6879 - [c65]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. ICASSP 2024: 9811-9815 - [c64]Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo:
Quantum Federated Learning with Quantum Networks. ICASSP 2024: 13401-13405 - [c63]Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo:
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. ICLR 2024 - [c62]Guang Zhao, Xihaier Luo, Shinjae Yoo, Nicole D. Jackson:
GAN-based Extreme Conditional Distribution Estimation for Renewable Energy Systems. SmartGridComm 2024: 562-567 - [i42]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 abs/2401.07464 (2024) - [i41]Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga:
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. CoRR abs/2401.11611 (2024) - [i40]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 abs/2402.10291 (2024) - [i39]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 abs/2403.05602 (2024) - [i38]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 abs/2404.06418 (2024) - [i37]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 abs/2407.14560 (2024) - [i36]Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen:
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. CoRR abs/2407.20147 (2024) - [i35]Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum Gradient Class Activation Map for Model Interpretability. CoRR abs/2408.05899 (2024) - [i34]David K. Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
AI Surrogate Model for Distributed Computing Workloads. CoRR abs/2410.07940 (2024) - 2023
- [c61]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: 255-264 - [c60]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. ICML 2023: 33135-33155 - [c59]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: 800-807 - [c58]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 - [c57]Hao Huang, Shinjae Yoo:
Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. PAKDD (4) 2023: 341-352 - [c56]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. SC Workshops 2023: 298-305 - [c55]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: 702-712 - [i33]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 abs/2301.01769 (2023) - [i32]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
A Neural PDE Solver with Temporal Stencil Modeling. CoRR abs/2302.08105 (2023) - [i31]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 abs/2303.16280 (2023) - [i30]Xihaier Luo, Ahsan Kareem, Shinjae Yoo:
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing. CoRR abs/2306.04518 (2023) - [i29]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 abs/2307.05916 (2023) - [i28]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 abs/2307.08813 (2023) - [i27]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 abs/2308.01921 (2023) - [i26]Carlos Soto, Shinjae Yoo:
An extensible point-based method for data chart value detection. CoRR abs/2308.11788 (2023) - [i25]Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin:
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization. CoRR abs/2309.04063 (2023) - [i24]Hong Wang, Yuefan Deng, Shinjae Yoo, Yuewei Lin:
Exploring Robust Features for Improving Adversarial Robustness. CoRR abs/2309.04650 (2023) - [i23]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 abs/2310.04610 (2023) - [i22]Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen:
Federated Quantum Machine Learning with Differential Privacy. CoRR abs/2310.06973 (2023) - [i21]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. CoRR abs/2310.15026 (2023) - [i20]Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo:
Quantum Federated Learning With Quantum Networks. CoRR abs/2310.15084 (2023) - [i19]Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha:
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. CoRR abs/2312.05928 (2023) - [i18]Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo:
Federated Quantum Long Short-term Memory (FedQLSTM). CoRR abs/2312.14309 (2023) - 2022
- [c54]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: 2366-2374 - [c53]Hao Huang, Tapan Shah, Shinjae Yoo:
Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. IEEE Big Data 2022: 1997-2006 - [c52]Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo:
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information. IEEE Big Data 2022: 2052-2061 - [c51]Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang:
Quantum Long Short-Term Memory. ICASSP 2022: 8622-8626 - [c50]Zhiqing Sun, Yiming Yang, Shinjae Yoo:
Sparse Attention with Learning to Hash. ICLR 2022 - [c49]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: 1-6 - [i17]Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo:
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing. CoRR abs/2201.11663 (2022) - [i16]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 abs/2202.11244 (2022) - [i15]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 abs/2203.02557 (2022) - 2021
- [j13]Samuel Yen-Chi Chen, Shinjae Yoo:
Federated Quantum Machine Learning. Entropy 23(4): 460 (2021) - [j12]Francis J. Alexander, James A. 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 Ramakrishnaiah, 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): 598-616 (2021) - [j11]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): 617-635 (2021) - [j10]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): 25010 (2021) - [c48]Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa:
Access Patterns to Disk Cache for Large Scientific Archive. SNTA@HPDC 2021: 37-40 - [c47]Zichao (Wendy) Di, Esteban Rangel, Shinjae Yoo, Stefan M. Wild:
Hierarchical Analysis of Halo Center in Cosmology. ICCS (1) 2021: 671-684 - [c46]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: 7638-7647 - [c45]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. ICMLA 2021: 1094-1099 - [c44]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: 1-10 - [c43]Chenxiao Xu, Hao Huang, Shinjae Yoo:
A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. IJCNN 2021: 1-8 - [c42]Hao Huang, Shinjae Yoo, Chenxiao Xu:
Deep Clustering based on Bi-Space Association Learning. ACM Multimedia 2021: 12-21 - [c41]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: 346-354 - [c40]Hao Huang, Chenxiao Xu, Shinjae Yoo:
Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. SAC 2021: 924-933 - [i14]Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo:
Hybrid Quantum-Classical Graph Convolutional Network. CoRR abs/2101.06189 (2021) - [i13]William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo:
Quantum machine learning with differential privacy. CoRR abs/2103.06232 (2021) - [i12]Samuel Yen-Chi Chen, Shinjae Yoo:
Federated Quantum Machine Learning. CoRR abs/2103.12010 (2021) - [i11]Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo:
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers. CoRR abs/2106.13067 (2021) - [i10]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 abs/2108.06017 (2021) - [i9]Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga:
Feature Importance in a Deep Learning Climate Emulator. CoRR abs/2108.13203 (2021) - [i8]Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. CoRR abs/2111.05423 (2021) - 2020
- [j9]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, Daniel W. Kneller, Andrey 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, Yue 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): 5832-5852 (2020) - [j8]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) - [j7]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): 3214 (2020) - [c39]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: 2533-2540 - [c38]Sagnik Basumallik, Ying Liu, Dimitrios Katramatos, Shinjae Yoo:
Real-Time Distribution State Estimation with Massive µPMU Streaming Data. ISGT 2020: 1-5 - [c37]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: 113171X - [c36]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: 15-19 - [c35]Siwu Liu, Ji Hwan Park, Shinjae Yoo:
Efficient and Effective Graph Convolution Networks. SDM 2020: 388-396 - [c34]Siwu Liu, Chenxiao Xu, Ying Liu, Dimitrios Katramatos, Shinjae Yoo:
Electricity Load Forecasting with Collective Echo State Networks. SmartGridComm 2020: 1-6 - [c33]Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. UAI 2020: 51-60 - [i7]Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo:
Bounding the expected run-time of nonconvex optimization with early stopping. CoRR abs/2002.08856 (2020) - [i6]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 abs/2008.13742 (2020) - [i5]Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang:
Quantum Long Short-Term Memory. CoRR abs/2009.01783 (2020) - [i4]Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo:
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. CoRR abs/2012.12177 (2020)
2010 – 2019
- 2019
- [c32]Thomas Flynn, Shinjae Yoo:
Change Detection with the Kernel Cumulative Sum Algorithm. CDC 2019: 6092-6099 - [c31]Chenxiao Xu, Hao Huang, Shinjae Yoo:
Scalable Causal Graph Learning through a Deep Neural Network. CIKM 2019: 1853-1862 - [c30]Hao Huang, Shinjae Yoo, Yunwen Xu:
System Deterioration Detection and Root Cause Learning on Time Series Graphs. CIKM 2019: 2537-2545 - [c29]Carlos Soto, Shinjae Yoo:
Visual Detection with Context for Document Layout Analysis. EMNLP/IJCNLP (1) 2019: 3462-3468 - [c28]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: 153-167 - [c27]Hao Huang, Chenxiao Xu, Shinjae Yoo:
Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. ICDM 2019: 319-328 - [c26]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: 636-641 - [c25]Hao Huang, Shinjae Yoo, Yunwen Xu:
Failure Analysis on Multivariate Time-series Data given Uncertain Labels. MLDM (2) 2019: 640-654 - [c24]Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. NeurIPS 2019: 7812-7822 - [c23]Yihui Ren, Shinjae Yoo, Adolfy Hoisie:
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. PMBS@SC 2019: 103-113 - [i3]Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo:
Re-examination of the Role of Latent Variables in Sequence Modeling. CoRR abs/1902.01388 (2019) - [i2]Yihui Ren, Shinjae Yoo, Adolfy Hoisie:
Performance Analysis of Deep Learning Workloads on Leading-edge Systems. CoRR abs/1905.08764 (2019) - [i1]Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio:
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. CoRR abs/1906.05936 (2019) - 2018
- [j6]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: 563-574 (2018) - 2017
- [c22]Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - 2016
- [j5]Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin:
Diverse Power Iteration Embeddings: Theory and Practice. IEEE Trans. Knowl. Data Eng. 28(10): 2606-2620 (2016) - [c21]Shinjae Yoo, Hao Huang, Shiva Prasad Kasiviswanathan:
Streaming spectral clustering. ICDE 2016: 637-648 - [c20]Jin Xu, Shinjae Yoo, John Heiser, Paul Kalb:
Sensor network based solar forecasting using a local vector autoregressive ridge framework. SAC 2016: 2113-2118 - [c19]Jin Xu, Meng Yue, Dimitrios Katramatos, Shinjae Yoo:
Spatial-temporal load forecasting using AMI data. SmartGridComm 2016: 612-618 - 2015
- [j4]Shun Yao, Shinjae Yoo, Dantong Yu:
Prior knowledge driven Granger causality analysis on gene regulatory network discovery. BMC Bioinform. 16: 273:1-273:18 (2015) - [j3]Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin:
Density-Aware Clustering Based on Aggregated Heat Kernel and Its Transformation. ACM Trans. Knowl. Discov. Data 9(4): 29:1-29:35 (2015) - [c18]Hao Huang, Shinjae Yoo, Shiva Prasad Kasiviswanathan:
Unsupervised Feature Selection on Data Streams. CIKM 2015: 1031-1040 - [c17]Jin Xu, Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb:
A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field. PAKDD (1) 2015: 511-524 - [c16]Jin Xu, Shinjae Yoo, Dantong Yu, Dong Huang, John Heiser, Paul Kalb:
Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction. SAC 2015: 2225-2230 - 2014
- [j2]Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu:
Physics-Based Anomaly Detection Defined on Manifold Space. ACM Trans. Knowl. Discov. Data 9(2): 14:1-14:39 (2014) - [c15]Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin:
Diverse Power Iteration Embeddings and Its Applications. ICDM 2014: 200-209 - [c14]Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin:
Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations. ICDM 2014: 210-219 - [c13]Hao Huang, Shinjae Yoo, Konstantine Kaznatcheev, Kevin G. Yager, Fang Lu, Dantong Yu, Oleg Gang, Andrei Fluerasu, Hong Qin:
Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. SAC 2014: 85-90 - [c12]Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang, Paul Kalb, John Heiser:
3D cloud detection and tracking for solar forecast using multiple sky imagers. SAC 2014: 512-517 - 2013
- [c11]Shun Yao, Shinjae Yoo, Dantong Yu:
Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery. ICDM Workshops 2013: 124-130 - [c10]Hao Huang, Jin Xu, Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang, Hong Qin:
Cloud motion estimation for short term solar irradiation prediction. SmartGridComm 2013: 696-701 - [c9]Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang:
Solar irradiance forecast system based on geostationary satellite. SmartGridComm 2013: 708-713 - 2012
- [c8]Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu:
Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. CIKM 2012: 405-414 - [c7]Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu:
A New Anomaly Detection Algorithm Based on Quantum Mechanics. ICDM 2012: 900-905 - 2011
- [c6]Shinjae Yoo, Yiming Yang, Jaime G. Carbonell:
Modeling personalized email prioritization: classification-based and regression-based approaches. CIKM 2011: 729-738 - [c5]Hao Huang, Shinjae Yoo, Hong Qin, Dantong Yu:
A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping. ICDM 2011: 270-279 - 2010
- [j1]Yiming Yang, Shinjae Yoo, Frank Lin, Il-Chul Moon:
Personalized Email Prioritization Based on Content and Social Network Analysis. IEEE Intell. Syst. 25(4): 12-18 (2010)
2000 – 2009
- 2009
- [c4]Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon:
Mining social networks for personalized email prioritization. KDD 2009: 967-976 - 2008
- [c3]Shinjae Yoo, Donna Gates, Lori S. Levin, Simon Fung, Sachin Agarwal, Michael Freed:
Using Semantic Features to Improve Task Identification in Email Messages. NLDB 2008: 355-357 - 2005
- [c2]Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel:
Robustness of adaptive filtering methods in a cross-benchmark evaluation. SIGIR 2005: 98-105 - 2002
- [c1]Shinjae Yoo:
An XML Retrieval Model based on Structural Proximities. INEX Workshop 2002: 125-132
Coauthor Index
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