Shinjae Yoo

193 papers A* 21A 9B 4C 4Misc 13Journal 106Unranked 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alternative mixed integer linear programming optimization for joint job scheduling and data allocation in grid computing.
Future Gener. Comput. Syst.
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2026 J jnl
DANCE: Doubly Adaptive Neighborhood Conformal Estimation.
CoRR
Brandon R. Feng, Brian J. Reich, Daniel Beaglehole, Xihaier Luo, David Keetae Park, Shinjae Yoo, Zhechao Huang, Xueyu Mao, Olcay Boz, Jungeum Kim
2026 J jnl
Hybrid Quantum Temporal Convolutional Networks.
CoRR
Junghoon Justin Park, Maria Pak, Sebin Lee, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng, Jiook Cha
2026 J jnl
Quantum Super-resolution by Adaptive Non-local Observables.
CoRR
Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2026 J jnl
Recovering Whole-Brain Causal Connectivity under Indirect Observation with Applications to Human EEG and fMRI.
CoRR
Sangyoon Bae, Miruna Oprescu, David Keetae Park, Shinjae Yoo, Jiook Cha
2026 J jnl
Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision.
CoRR
Kevin Valencia, Xihaier Luo, Shinjae Yoo, David Keetae Park
2026 J jnl
Variable rate neural compression for sparse detector data.
Patterns
Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
2025 J jnl
Adaptive Non-local Observable on Quantum Neural Networks.
CoRR
Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2025 J jnl
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles.
CoRR
Junghoon Justin Park, Jiook Cha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025 J jnl
Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing.
CoRR
Shengyu Feng, Jaehyung Kim, Yiming Yang, Joseph Boudreau, Tasnuva Chowdhury, Adolfy Hoisie, Raees Khan, Ozgur O. Kilic, Scott Klasky, Tatiana Korchuganova, Paul Nilsson, Verena Ingrid Martinez Outschoorn, David Keetae Park, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Sairam Sri Vatsavai, Wei Yang, Shinjae Yoo, Tadashi Maeno, Alexei Klimentov
2025 — conf
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
SC Workshops
Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov
2025 J jnl
CGSim: A Simulation Framework for Large Scale Distributed Computing Environment.
CoRR
Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David Keetae Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.
J. Comput. Biol.
Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Shinjae Yoo, Shantenu Jha
2025 J jnl
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model.
CoRR
Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee, Yonghyeon Gwon, Sebin Lee, Seongjin Lee, David Keetae Park, Shinjae Yoo, Jiook Cha, Chun Kee Chung
2025 J jnl
DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale.
CoRR
Danny Dongyeop Han, Yonghyeon Gwon, Ahhyun Lucy Lee, Taeyang Lee, Seong Jin Lee, Jubin Choi, Sebin Lee, Jihyun Bang, Seungju Lee, David Keetae Park, Shinjae Yoo, Chun Kee Chung, Jiook Cha
2025 — conf
Data Management System Analysis for Distributed Computing Workloads.
SC Workshops
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Data Management System Analysis for Distributed Computing Workloads.
CoRR
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
Dynamical Implicit Neural Representations.
CoRR
Yesom Park, Kelvin Kan, Thomas Flynn, Yi Huang, Shinjae Yoo, Stanley J. Osher, Xihaier Luo
2025 — conf
Error Analysis of Globally Distributed Workflow Management System.
SC Workshops
Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie
2025 J jnl
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics.
CoRR
David Keetae Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, Yuewei Lin, Shinjae Yoo, Joseph D. Osborn, Jin Huang, Yihui Ren
2025 J jnl
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders.
CoRR
Miruna Oprescu, David Keetae Park, Xihaier Luo, Shinjae Yoo, Nathan Kallus
2025 J jnl
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting.
CoRR
Guang Zhao, Xihaier Luo, Seungjun Lee, Yihui Ren, Shinjae Yoo, Luke Van Roekel, Balu Nadiga, Sri Hari Krishna Narayanan, Yixuan Sun, Wei Xu
2025 J jnl
It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles.
CoRR
Junghoon Justin Park, Huan-Hsin Tseng, Shinjae Yoo, Samuel Yen-Chi Chen, Jiook Cha
2025 — conf
Learning to Measure Quantum Neural Networks.
ICASSP Workshops
Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025 J jnl
Learning to Measure Quantum Neural Networks.
CoRR
Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025 J jnl
Learning to Program Quantum Measurements for Machine Learning.
CoRR
Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo
2025 J jnl
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows.
CoRR
Tasnuva Chowdhury, Tadashi Maeno, Fatih Furkan Akman, Joseph Boudreau, Sankha Dutta, Shengyu Feng, Adolfy Hoisie, Kuan-Chieh Hsu, Raees Khan, Jaehyung Kim, Ozgur O. Kilic, Scott Klasky, Alexei Klimentov, Tatiana Korchuganova, Verena Ingrid Martinez Outschoorn, Paul Nilsson, David Keetae Park, Norbert Podhorszki, Yihui Ren, John Rembrandt Steele, Frédéric Suter, Sairam Sri Vatsavai, Torre J. Wenaus, Wei Yang, Yiming Yang, Shinjae Yoo
2025 A* conf
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators.
ICML
Shanda Li, Shinjae Yoo, Yiming Yang
2025 J jnl
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators.
CoRR
Shanda Li, Shinjae Yoo, Yiming Yang
2025 J jnl
Neural Architecture Search for Quantum Autoencoders.
CoRR
Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025 J jnl
OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning.
CoRR
Kevin Valencia, Thilina Balasooriya, Xihaier Luo, Shinjae Yoo, David Keetae Park
2025 A* conf
Pareto Prompt Optimization.
ICLR
Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian
2025 J jnl
Performance analysis and data reduction for exascale scientific workflows.
Int. J. High Perform. Comput. Appl.
Christopher Kelly, Wei Xu, Line C. Pouchard, Hubertus Van Dam, Tanzima Z. Islam, Shinjae Yoo, Kerstin Kleese van Dam
2025 J jnl
Quantum Reinforcement Learning by Adaptive Non-local Observables.
CoRR
Hsin-Yi Lin, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo
2025 Misc conf
Reinforcement Learning for Charged Particle Beam Control to Minimize Injection Mismatch in Particle Accelerators.
ICASSP
Thilina Balasooriya, Shinjae Yoo, Vincent Schoefer, Huan-Hsin Tseng, Yuan Gao, Weijian Lin, Chanaka De Silva
2025 J jnl
Resting-state fMRI Analysis using Quantum Time-series Transformer.
CoRR
Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo
2025 A* conf
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields.
ICML
David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025 J jnl
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields.
CoRR
David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo
2025 J jnl
SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding.
CoRR
Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
2025 J jnl
STACI: Spatio-Temporal Aleatoric Conformal Inference.
CoRR
Brandon R. Feng, David Keetae Park, Xihaier Luo, Arantxa Urdangarin, Shinjae Yoo, Brian J. Reich
2025 J jnl
Scalable Diffusion Transformer for Conditional 4D fMRI Synthesis.
CoRR
Jungwoo Seo, David Keetae Park, Shinjae Yoo, Jiook Cha
2025 J jnl
Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications.
CoRR
Sangyoon Bae, Junbeom Kwon, Shinjae Yoo, Jiook Cha
2025 J jnl
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures.
CoRR
Ozgur O. Kilic, David Keetae Park, Yihui Ren, 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
2025 — conf
Transfer Learning Analysis of Variational Quantum Circuits.
ICASSP Workshops
Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo
2025 J jnl
Transfer Learning Analysis of Variational Quantum Circuits.
CoRR
Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo
2024 J jnl
A Training-Free Approach for Music Style Transfer with Latent Diffusion Models.
CoRR
Sooyoung Kim, Joonwoo Kwon, Heehwan Wang, Shinjae Yoo, Yuewei Lin, Jiook Cha
2024 — conf
AI Surrogate Model for Distributed Computing Workloads.
SC Workshops
David Keetae 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
2024 J jnl
AI Surrogate Model for Distributed Computing Workloads.
CoRR
David Keetae 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
2024 A* conf
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer.
AAAI
Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha
2024 J jnl
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM.
CoRR
Vijayalakshmi Saravanan, Perry Siehien, Shinjae Yoo, Hubertus Van Dam, Thomas Flynn, Christopher Kelly, Khaled Z. Ibrahim
2024 J jnl
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence.
CoRR
Shubha R. Kharel, Prashansa Mukim, Piotr Maj, Grzegorz W. Deptuch, Shinjae Yoo, Yihui Ren, Soumyajit Mandal
2024 A* conf
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment.
NeurIPS
Xi Yu, Shinjae Yoo, Yuewei Lin
2024 A* conf
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
ICLR
Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo
2024 J jnl
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
CoRR
Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
2024 J jnl
Correction to: Stochastic projective splitting.
Comput. Optim. Appl.
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
2024 A* conf
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration.
AAAI
Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo
2024 J jnl
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events.
CoRR
Ayush Khot, Xihaier Luo, Ai Kagawa, Shinjae Yoo
2024 — conf
Exploring Innovative IGZO-channel based DRAM Cell Architectures and Key Technologies for Sub-10nm Node.
IMW
Daewon Ha, Y. Lee, Shinjae Yoo, W. Lee, M. H. Cho, K. Yoo, S. M. Lee, S. Lee, M. Terai, T. H. Lee, J. H. Bae, K. J. Moon, C. Sung, M. Hong, D. G. Cho, Kyunghwan Lee, S. W. Park, K. Park, Bong Jin Kuh, S. Hyun, Sujin Ahn, J. H. Song
2024 J jnl
Exploring Robust Features for Improving Adversarial Robustness.
IEEE Trans. Cybern.
Hong Wang, Yuefan Deng, Shinjae Yoo, Yuewei Lin
2024 J jnl
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information.
CoRR
Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo
2024 Misc conf
Federated Quantum Machine Learning with Differential Privacy.
ICASSP
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2024 J jnl
Federated quantum long short-term memory (FedQLSTM).
Quantum Mach. Intell.
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
2024 — conf
GAN-based Extreme Conditional Distribution Estimation for Renewable Energy Systems.
SmartGridComm
Guang Zhao, Xihaier Luo, Shinjae Yoo, Nicole D. Jackson
2024 J jnl
INSURE: An Information Theory iNspired diSentanglement and pURification modEl for Domain Generalization.
IEEE Trans. Image Process.
Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin
2024 — conf
Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes.
BioNLP@ACL
Gilchan Park, Vivek Mutalik, Christopher Neely, Carlos Soto, Shinjae Yoo, Paramvir S. Dehal
2024 J jnl
Macro2Micro: Cross-modal Magnetic Resonance Imaging Synthesis Leveraging Multi-scale Brain Structures.
CoRR
Sooyoung Kim, Joonwoo Kwon, Junbeom Kwon, Sangyoon Bae, Yuewei Lin, Shinjae Yoo, Jiook Cha
2024 J jnl
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control.
IEEE Trans. Neural Networks Learn. Syst.
Ying Zhang, Meng Yue, Jianhui Wang, Shinjae Yoo
2024 Misc conf
Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning.
QCE
Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng
2024 J jnl
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation.
Frontiers Bioinform.
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
2024 J jnl
Problem-dependent convergence bounds for randomized linear gradient compression.
CoRR
Thomas Flynn, Patrick R. Johnstone, Shinjae Yoo
2024 Misc conf
Quantum Federated Learning with Quantum Networks.
ICASSP
Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
2024 — conf
Quantum Gradient Class Activation Map for Model Interpretability.
SiPS
Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2024 J jnl
Quantum Gradient Class Activation Map for Model Interpretability.
CoRR
Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo
2024 Misc conf
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning.
QCE
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
2024 J jnl
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning.
CoRR
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen
2024 Misc conf
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning.
ICASSP
William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
2024 J jnl
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning.
CoRR
William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo
2024 J jnl
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
Future Gener. Comput. Syst.
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
2024 J jnl
Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation.
CoRR
Joonwoo Kwon, Heehwan Wang, Jinwoo Lee, Sooyoung Kim, Shinjae Yoo, Yuewei Lin, Jiook Cha
2024 J jnl
Stochastic projective splitting.
Comput. Optim. Appl.
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
2024 J jnl
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction.
CoRR
Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
2024 — conf
Sustainable and Explainable Neural Network for Real-Time Time Series Classification.
ICPR (5)
Hao Huang, Tapan Shah, Shinjae Yoo, Scott Evans
2024 C conf
Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases.
ICMLA
Vidur Reddy Jannapureddy, Shinjae Yoo, Huan-Hsin Tseng
2024 J jnl
Variable Rate Neural Compression for Sparse Detector Data.
CoRR
Yi Huang, Yeonju Go, Jin Huang, Shuhang Li, Xihaier Luo, Thomas Marshall, Joseph D. Osborn, Christopher Pinkenburg, Yihui Ren, Evgeny Shulga, Shinjae Yoo, Byung-Jun Yoon
2023 — conf
A 16-channel Active-Matrix Mini-LED Driver with an USI-B for EMI noise reduction.
VLSI Technology and Circuits
Y. Kwon, Y. Kwak, Y. Choi, K. Kim, S. Kim, W. Jang, J. Park, K. Ryu, Shinjae Yoo, H. W. Lim, Jin-Yup Lee
2023 A* conf
A Neural PDE Solver with Temporal Stencil Modeling.
ICML
Zhiqing Sun, Yiming Yang, Shinjae Yoo
2023 J jnl
A Neural PDE Solver with Temporal Stencil Modeling.
CoRR
Zhiqing Sun, Yiming Yang, Shinjae Yoo
2023 J jnl
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer.
CoRR
Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha
2023 J jnl
An extensible point-based method for data chart value detection.
CoRR
Carlos Soto, Shinjae Yoo
2023 — conf
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges.
BioNLP@ACL
Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander
2023 J jnl
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge.
CoRR
Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander
2023 J jnl
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
CoRR
Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023 — conf
Dynamic Variable Dependency Encoding and Its Application on Change Point Detection.
PAKDD (4)
Hao Huang, Shinjae Yoo
2023 J jnl
Exploring Robust Features for Improving Adversarial Robustness.
CoRR
Hong Wang, Yuefan Deng, Shinjae Yoo, Yuewei Lin
2023 — conf
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
SC Workshops
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2023 J jnl
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data.
CoRR
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2023 J jnl
Federated Quantum Long Short-term Memory (FedQLSTM).
CoRR
Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo
2023 J jnl
Federated Quantum Machine Learning with Differential Privacy.
CoRR
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen
2023 J jnl
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization.
CoRR
Xi Yu, Huan-Hsin Tseng, Shinjae Yoo, Haibin Ling, Yuewei Lin
2023 J jnl
Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM maps.
Briefings Bioinform.
Xin Dai, Longlong Wu, Shinjae Yoo, Qun Liu
2023 J jnl
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing.
CoRR
Xihaier Luo, Ahsan Kareem, Shinjae Yoo
2023 J jnl
Quantum Federated Learning With Quantum Networks.
CoRR
Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
2023 J jnl
Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation.
CoRR
Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2023 A* conf
SwiFT: Swin 4D fMRI Transformer.
NeurIPS
Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
2023 J jnl
SwiFT: Swin 4D fMRI Transformer.
CoRR
Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
2023 C conf
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
ICMLA
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
2023 J jnl
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.
CoRR
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
2023 A conf
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
WACV
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2022 J jnl
A Bayesian Deep Learning Approach to Near-Term Climate Prediction.
CoRR
Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
2022 J jnl
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing.
CoRR
Xihaier Luo, Ahsan Kareem, Liting Yu, Shinjae Yoo
2022 — conf
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response.
BIBM
Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon
2022 B conf
Deep Time Series Sketching and Its Application on Industrial Time Series Clustering.
IEEE Big Data
Hao Huang, Tapan Shah, Shinjae Yoo
2022 B conf
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information.
IEEE Big Data
Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo
2022 — conf
Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications.
ISQED
Sandeep Miryala, Md. Adnan Zaman, Sandeep Mittal, Yihui Ren, Grzegorz Deptuch, Gabriella Carini, Sioan Zohar, Shinjae Yoo, Jack Fried, Jin Huang, Srinivas Katkoori
2022 Misc conf
Quantum Long Short-Term Memory.
ICASSP
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
2022 A* conf
Sparse Attention with Learning to Hash.
ICLR
Zhiqing Sun, Yiming Yang, Shinjae Yoo
2022 J jnl
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation.
CoRR
Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren
2021 B conf
A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation.
IJCNN
Chenxiao Xu, Hao Huang, Shinjae Yoo
2021 A* conf
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning.
ICCV
Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin
2021 J jnl
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning.
CoRR
Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin
2021 — conf
Access Patterns to Disk Cache for Large Scientific Archive.
SNTA@HPDC
Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa
2021 J jnl
Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl.
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 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
2021 A* conf
Deep Clustering based on Bi-Space Association Learning.
ACM Multimedia
Hao Huang, Shinjae Yoo, Chenxiao Xu
2021 C conf
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
ICMLA
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2021 J jnl
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder.
CoRR
Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang
2021 J jnl
Feature Importance in a Deep Learning Climate Emulator.
CoRR
Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga
2021 J jnl
Federated Quantum Machine Learning.
CoRR
Samuel Yen-Chi Chen, Shinjae Yoo
2021 J jnl
Federated Quantum Machine Learning.
Entropy
Samuel Yen-Chi Chen, Shinjae Yoo
2021 Misc conf
Flight data anomaly detection and diagnosis with variable association change.
SAC
Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu
2021 — conf
Hierarchical Analysis of Halo Center in Cosmology.
ICCS (1)
Zichao (Wendy) Di, Esteban Rangel, Shinjae Yoo, Stefan M. Wild
2021 J jnl
Hybrid Quantum-Classical Graph Convolutional Network.
CoRR
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
2021 J jnl
In situ compression artifact removal in scientific data using deep transfer learning and experience replay.
Mach. Learn. Sci. Technol.
Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald
2021 Misc conf
Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification.
SAC
Hao Huang, Chenxiao Xu, Shinjae Yoo
2021 B conf
Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method.
IJCNN
Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu
2021 J jnl
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl.
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
2021 J jnl
Quantum machine learning with differential privacy.
CoRR
William M. Watkins, Samuel Yen-Chi Chen, Shinjae Yoo
2021 J jnl
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers.
CoRR
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
2020 — conf
3D distributed deep learning framework for prediction of human intelligence from brain MRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha
2020 A conf
Bounding the expected run-time of nonconvex optimization with early stopping.
UAI
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
2020 J jnl
Bounding the expected run-time of nonconvex optimization with early stopping.
CoRR
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
2020 — conf
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.
ISAV@SC
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
2020 J jnl
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.
CoRR
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
2020 A conf
Efficient and Effective Graph Convolution Networks.
SDM
Siwu Liu, Ji Hwan Park, Shinjae Yoo
2020 — conf
Electricity Load Forecasting with Collective Echo State Networks.
SmartGridComm
Siwu Liu, Chenxiao Xu, Ying Liu, Dimitrios Katramatos, Shinjae Yoo
2020 J jnl
Image Collection Simulation Using High-Resolution Atmospheric Modeling.
Remote. Sens.
Andrew Kalukin, Satoshi Endo, Russell Crook, Manoj Mahajan, Robert Fennimore, Alice Cialella, Laurie Gregory, Shinjae Yoo, Wei Xu, Daniel Cisek
2020 A conf
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning.
CIKM
Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue
2020 J jnl
Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data.
npj Digit. Medicine
Ji Hwan Park, Han Eol Cho, Jong Hun Kim, Melanie M. Wall, Yaakov Stern, Hyunsun Lim, Shinjae Yoo, Hyoung Seop Kim, Jiook Cha
2020 J jnl
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis.
CoRR
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo
2020 J jnl
Quantum Long Short-Term Memory.
CoRR
Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang
2020 — conf
Real-Time Distribution State Estimation with Massive µPMU Streaming Data.
ISGT
Sagnik Basumallik, Ying Liu, Dimitrios Katramatos, Shinjae Yoo
2020 J jnl
Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.
J. Chem. Inf. Model.
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
2019 A* conf
Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network.
ICDM
Hao Huang, Chenxiao Xu, Shinjae Yoo
2019 — conf
Change Detection with the Kernel Cumulative Sum Algorithm.
CDC
Thomas Flynn, Shinjae Yoo
2019 — conf
Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications.
ICCS (1)
Cong Xie, Wonyong Jeong, Gyorgy Matyasfalvi, Hubertus Van Dam, Klaus Mueller, Shinjae Yoo, Wei Xu
2019 — conf
Failure Analysis on Multivariate Time-series Data given Uncertain Labels.
MLDM (2)
Hao Huang, Shinjae Yoo, Yunwen Xu
2019 J jnl
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training.
CoRR
Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio
2019 — conf
PCS: A Productive Computational Science Platform.
HPCS
David Ojika, Ann Gordon-Ross, Herman Lam, Shinjae Yoo, Younggang Cui, Zhihua Dong, Kerstin Kleese van Dam, Seyong Lee, Thorsten Kurth
2019 — conf
Performance Analysis of Deep Learning Workloads on Leading-edge Systems.
PMBS@SC
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
2019 J jnl
Performance Analysis of Deep Learning Workloads on Leading-edge Systems.
CoRR
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
2019 A* conf
Re-examination of the Role of Latent Variables in Sequence Modeling.
NeurIPS
Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
2019 J jnl
Re-examination of the Role of Latent Variables in Sequence Modeling.
CoRR
Zihang Dai, Guokun Lai, Yiming Yang, Shinjae Yoo
2019 A conf
Scalable Causal Graph Learning through a Deep Neural Network.
CIKM
Chenxiao Xu, Hao Huang, Shinjae Yoo
2019 A conf
System Deterioration Detection and Root Cause Learning on Time Series Graphs.
CIKM
Hao Huang, Shinjae Yoo, Yunwen Xu
2019 — conf
Visual Detection with Context for Document Layout Analysis.
EMNLP/IJCNLP (1)
Carlos Soto, Shinjae Yoo
2018 J jnl
Why wait? Let us start computing while the data is still on the wire.
Future Gener. Comput. Syst.
Shilpi Bhattacharyya, Dimitrios Katramatos, Shinjae Yoo
2017 — conf
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Euro-Par
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
2016 J jnl
Diverse Power Iteration Embeddings: Theory and Practice.
IEEE Trans. Knowl. Data Eng.
Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2016 Misc conf
Sensor network based solar forecasting using a local vector autoregressive ridge framework.
SAC
Jin Xu, Shinjae Yoo, John Heiser, Paul Kalb
2016 — conf
Spatial-temporal load forecasting using AMI data.
SmartGridComm
Jin Xu, Meng Yue, Dimitrios Katramatos, Shinjae Yoo
2016 A* conf
Streaming spectral clustering.
ICDE
Shinjae Yoo, Hao Huang, Shiva Prasad Kasiviswanathan
2015 — conf
A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field.
PAKDD (1)
Jin Xu, Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb
2015 J jnl
Density-Aware Clustering Based on Aggregated Heat Kernel and Its Transformation.
ACM Trans. Knowl. Discov. Data
Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2015 J jnl
Prior knowledge driven Granger causality analysis on gene regulatory network discovery.
BMC Bioinform.
Shun Yao, Shinjae Yoo, Dantong Yu
2015 Misc conf
Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction.
SAC
Jin Xu, Shinjae Yoo, Dantong Yu, Dong Huang, John Heiser, Paul Kalb
2015 A conf
Unsupervised Feature Selection on Data Streams.
CIKM
Hao Huang, Shinjae Yoo, Shiva Prasad Kasiviswanathan
2014 Misc conf
3D cloud detection and tracking for solar forecast using multiple sky imagers.
SAC
Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang, Paul Kalb, John Heiser
2014 Misc conf
Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles.
SAC
Hao Huang, Shinjae Yoo, Konstantine Kaznatcheev, Kevin G. Yager, Fang Lu, Dantong Yu, Oleg Gang, Andrei Fluerasu, Hong Qin
2014 A* conf
Diverse Power Iteration Embeddings and Its Applications.
ICDM
Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2014 A* conf
Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations.
ICDM
Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin
2014 J jnl
Physics-Based Anomaly Detection Defined on Manifold Space.
ACM Trans. Knowl. Discov. Data
Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2013 — conf
Cloud motion estimation for short term solar irradiation prediction.
SmartGridComm
Hao Huang, Jin Xu, Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang, Hong Qin
2013 — conf
Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery.
ICDM Workshops
Shun Yao, Shinjae Yoo, Dantong Yu
2013 — conf
Solar irradiance forecast system based on geostationary satellite.
SmartGridComm
Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang
2012 A* conf
A New Anomaly Detection Algorithm Based on Quantum Mechanics.
ICDM
Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2012 A conf
Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space.
CIKM
Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu
2011 A* conf
A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping.
ICDM
Hao Huang, Shinjae Yoo, Hong Qin, Dantong Yu
2011 A conf
Modeling personalized email prioritization: classification-based and regression-based approaches.
CIKM
Shinjae Yoo, Yiming Yang, Jaime G. Carbonell
2010 J jnl
Personalized Email Prioritization Based on Content and Social Network Analysis.
IEEE Intell. Syst.
Yiming Yang, Shinjae Yoo, Frank Lin, Il-Chul Moon
2009 A* conf
Mining social networks for personalized email prioritization.
KDD
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
2008 C conf
Using Semantic Features to Improve Task Identification in Email Messages.
NLDB
Shinjae Yoo, Donna Gates, Lori S. Levin, Simon Fung, Sachin Agarwal, Michael Freed
2005 A* conf
Robustness of adaptive filtering methods in a cross-benchmark evaluation.
SIGIR
Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel
2002 — conf
An XML Retrieval Model based on Structural Proximities.
INEX Workshop
Shinjae Yoo