An XML Retrieval Model based on Structural Proximities. - Shinjae Yoo (INEX Workshop, 2002)

Robustness of adaptive filtering methods in a cross-benchmark evaluation. - Yiming Yang; Shinjae Yoo; Jian Zhang 003; Bryan Kisiel (SIGIR, 2005)

Using Semantic Features to Improve Task Identification in Email Messages. - Shinjae Yoo; Donna Gates; Lori S. Levin; Simon Fung; Sachin Agarwal 002; Michael Freed (NLDB, 2008)

Mining social networks for personalized email prioritization. - Shinjae Yoo; Yiming Yang; Frank Lin; Il-Chul Moon (KDD, 2009)

Personalized Email Prioritization Based on Content and Social Network Analysis. - Yiming Yang; Shinjae Yoo; Frank Lin; Il-Chul Moon (IEEE Intell. Syst., 2010)

Modeling personalized email prioritization: classification-based and regression-based approaches. - Shinjae Yoo; Yiming Yang; Jaime G. Carbonell (CIKM, 2011)

A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping. - Hao Huang 007; Shinjae Yoo; Hong Qin 001; Dantong Yu (ICDM, 2011)

Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. - Hao Huang 007; Hong Qin 001; Shinjae Yoo; Dantong Yu (CIKM, 2012)

A New Anomaly Detection Algorithm Based on Quantum Mechanics. - Hao Huang 007; Hong Qin 001; Shinjae Yoo; Dantong Yu (ICDM, 2012)

Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery. - Shun Yao; Shinjae Yoo; Dantong Yu (ICDM Workshops, 2013)

Cloud motion estimation for short term solar irradiation prediction. - Hao Huang 007; Jin Xu; Zhenzhou Peng; Shinjae Yoo; Dantong Yu; Dong Huang; Hong Qin 001 (SmartGridComm, 2013)

Solar irradiance forecast system based on geostationary satellite. - Zhenzhou Peng; Shinjae Yoo; Dantong Yu; Dong Huang (SmartGridComm, 2013)

Diverse Power Iteration Embeddings and Its Applications. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (ICDM, 2014)

Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (ICDM, 2014)

Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. - Hao Huang 007; Shinjae Yoo; Konstantine Kaznatcheev; Kevin G. Yager; Fang Lu; Dantong Yu; Oleg Gang; Andrei Fluerasu; Hong Qin 001 (SAC, 2014)

3D cloud detection and tracking for solar forecast using multiple sky imagers. - Zhenzhou Peng; Shinjae Yoo; Dantong Yu; Dong Huang; Paul Kalb; John Heiser (SAC, 2014)

Physics-Based Anomaly Detection Defined on Manifold Space. - Hao Huang 007; Hong Qin 001; Shinjae Yoo; Dantong Yu (ACM Trans. Knowl. Discov. Data, 2014)

Unsupervised Feature Selection on Data Streams. - Hao Huang 007; Shinjae Yoo; Shiva Prasad Kasiviswanathan (CIKM, 2015)

A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field. - Jin Xu; Shinjae Yoo; Dantong Yu; Hao Huang 007; Dong Huang; John Heiser; Paul Kalb (PAKDD (1), 2015)

Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction. - Jin Xu; Shinjae Yoo; Dantong Yu; Dong Huang; John Heiser; Paul Kalb (SAC, 2015)

Prior knowledge driven Granger causality analysis on gene regulatory network discovery. - Shun Yao; Shinjae Yoo; Dantong Yu (BMC Bioinform., 2015)

Density-Aware Clustering Based on Aggregated Heat Kernel and Its Transformation. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (ACM Trans. Knowl. Discov. Data, 2015)

Streaming spectral clustering. - Shinjae Yoo; Hao Huang 007; Shiva Prasad Kasiviswanathan (ICDE, 2016)

Sensor network based solar forecasting using a local vector autoregressive ridge framework. - Jin Xu; Shinjae Yoo; John Heiser; Paul Kalb (SAC, 2016)

Spatial-temporal load forecasting using AMI data. - Jin Xu; Meng Yue; Dimitrios Katramatos; Shinjae Yoo (SmartGridComm, 2016)

Diverse Power Iteration Embeddings: Theory and Practice. - Hao Huang 007; Shinjae Yoo; Dantong Yu; Hong Qin 001 (IEEE Trans. Knowl. Data Eng., 2016)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - 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 001; Scott Klasky; et al. (Euro-Par, 2017)

Why wait? Let us start computing while the data is still on the wire. - Shilpi Bhattacharyya; Dimitrios Katramatos; Shinjae Yoo (Future Gener. Comput. Syst., 2018)

Change Detection with the Kernel Cumulative Sum Algorithm. - Thomas Flynn 001; Shinjae Yoo (CDC, 2019)

System Deterioration Detection and Root Cause Learning on Time Series Graphs. - Hao Huang 007; Shinjae Yoo; Yunwen Xu (CIKM, 2019)

Scalable Causal Graph Learning through a Deep Neural Network. - Chenxiao Xu; Hao Huang 007; Shinjae Yoo (CIKM, 2019)

Visual Detection with Context for Document Layout Analysis. - Carlos Soto 003; Shinjae Yoo (EMNLP/IJCNLP (1), 2019)

Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications. - Cong Xie; Wonyong Jeong; Gyorgy Matyasfalvi; Hubertus Van Dam; Klaus Mueller 001; Shinjae Yoo; Wei Xu 020 (ICCS (1), 2019)

Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo (ICDM, 2019)

PCS: A Productive Computational Science Platform. - David Ojika; Ann Gordon-Ross; Herman Lam; Shinjae Yoo; Younggang Cui; Zhihua Dong; Kirstin Kleese van Dam; Seyong Lee; Thorsten Kurth (HPCS, 2019)

Failure Analysis on Multivariate Time-series Data given Uncertain Labels. - Hao Huang 007; Shinjae Yoo; Yunwen Xu (MLDM (2), 2019)

Re-examination of the Role of Latent Variables in Sequence Modeling. - Guokun Lai; Zihang Dai; Yiming Yang; Shinjae Yoo (NeurIPS, 2019)

Performance Analysis of Deep Learning Workloads on Leading-edge Systems. - Yihui Ren 001; Shinjae Yoo; Adolfy Hoisie (PMBS@SC, 2019)

Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. - Kwangmin Yu; Thomas Flynn 001; Shinjae Yoo; Nicholas D'Imperio (CoRR, 2019)

Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo; Weizhong Yan; Tianyi Wang; Feng Xue 003 (CIKM, 2020)

Real-Time Distribution State Estimation with Massive µPMU Streaming Data. - Sagnik Basumallik; Ying Liu; Dimitrios Katramatos; Shinjae Yoo (ISGT, 2020)

3D distributed deep learning framework for prediction of human intelligence from brain MRI. - Seungwook Han; Yan Zhang; Yihui Ren 001; Jonathan Posner; Shinjae Yoo; Jiook Cha (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Christopher Kelly; Sungsoo Ha; Kevin A. Huck; Hubertus Van Dam; Line Pouchard; Gyorgy Matyasfalvi; Li Tang 007; Nicholas D'Imperio; Wei Xu 020; Shinjae Yoo; Kerstin Kleese van Dam (ISAV@SC, 2020)

Efficient and Effective Graph Convolution Networks. - Siwu Liu; Ji Hwan Park; Shinjae Yoo (SDM, 2020)

Electricity Load Forecasting with Collective Echo State Networks. - Siwu Liu; Chenxiao Xu; Ying Liu; Dimitrios Katramatos; Shinjae Yoo (SmartGridComm, 2020)

Bounding the expected run-time of nonconvex optimization with early stopping. - Thomas Flynn 001; Kwangmin Yu; Abid Malik; Nicholas D'Imperio; Shinjae Yoo (UAI, 2020)

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. - Sungsoo Ha; Wonyong Jeong; Gyorgy Matyasfalvi; Cong Xie; Kevin A. Huck; Jong Youl Choi; Abid Malik; Li Tang 007; Hubertus Van Dam; Line Pouchard; Wei Xu 020; Shinjae Yoo; et al. (CoRR, 2020)

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis. - Samuel Yen-Chi Chen; Tzu-Chieh Wei; Chao Zhang 063; Haiwang Yu; Shinjae Yoo (CoRR, 2020)

Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19. - 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; et al. (J. Chem. Inf. Model., 2020)

Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data. - Ji Hwan Park; Han Eol Cho; Jong Hun Kim; Melanie M. Wall; Yaakov Stern; Hyunsun Lim; Shinjae Yoo; Hyoung Seop Kim; Jiook Cha (npj Digit. Medicine, 2020)

Image Collection Simulation Using High-Resolution Atmospheric Modeling. - Andrew Kalukin; Satoshi Endo; Russell Crook; Manoj Mahajan; Robert Fennimore; Alice Cialella; Laurie Gregory; Shinjae Yoo; Wei Xu 020; Daniel Cisek (Remote. Sens., 2020)

Access Patterns to Disk Cache for Large Scientific Archive. - Yumeng Wang; Kesheng Wu; Alex Sim; Shinjae Yoo; Shigeki Misawa (SNTA@HPDC, 2021)

Hierarchical Analysis of Halo Center in Cosmology. - Zichao (Wendy) Di; Esteban Rangel; Shinjae Yoo; Stefan M. Wild (ICCS (1), 2021)

AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. - Hong Wang 024; Yuefan Deng; Shinjae Yoo; Haibin Ling; Yuewei Lin (ICCV, 2021)

Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. - Yi Huang 019; Yihui Ren 001; Shinjae Yoo; Jin Huang (ICMLA, 2021)

Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. - Hao Huang 007; Feng Xue 003; Weizhong Yan; Tianyi Wang; Shinjae Yoo; Chenxiao Xu (IJCNN, 2021)

A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. - Chenxiao Xu; Hao Huang 007; Shinjae Yoo (IJCNN, 2021)

Deep Clustering based on Bi-Space Association Learning. - Hao Huang 007; Shinjae Yoo; Chenxiao Xu (ACM Multimedia, 2021)

Flight data anomaly detection and diagnosis with variable association change. - Sijie He; Hao Huang 007; Shinjae Yoo; Weizhong Yan; Feng Xue 003; Tianyi Wang; Chenxiao Xu (SAC, 2021)

Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. - Hao Huang 007; Chenxiao Xu; Shinjae Yoo (SAC, 2021)

Hybrid Quantum-Classical Graph Convolutional Network. - Samuel Yen-Chi Chen; Tzu-Chieh Wei; Chao Zhang 063; Haiwang Yu; Shinjae Yoo (CoRR, 2021)

Quantum machine learning with differential privacy. - William M. Watkins; Samuel Yen-Chi Chen; Shinjae Yoo (CoRR, 2021)

Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers. - Patrick R. Johnstone; Jonathan Eckstein; Thomas Flynn 001; Shinjae Yoo (CoRR, 2021)

Feature Importance in a Deep Learning Climate Emulator. - Wei Xu 020; Xihaier Luo; Yihui Ren 001; Ji Hwan Park; Shinjae Yoo; Balasubramanya T. Nadiga (CoRR, 2021)

Federated Quantum Machine Learning. - Samuel Yen-Chi Chen; Shinjae Yoo (Entropy, 2021)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

In situ compression artifact removal in scientific data using deep transfer learning and experience replay. - Sandeep Madireddy; Ji Hwan Park; Sunwoo Lee 001; Prasanna Balaprakash; Shinjae Yoo; Wei-keng Liao; Cory D. Hauck; M. Paul Laiu; Richard Archibald (Mach. Learn. Sci. Technol., 2021)

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. - Xihaier Luo; Sean McCorkle; Gilchan Park; Vanessa López-Marrero; Shinjae Yoo; Edward R. Dougherty; Xiaoning Qian; Francis J. Alexander; Byung-Jun Yoon (BIBM, 2022)

Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. - Hao Huang 007; Tapan Shah 004; Shinjae Yoo (IEEE Big Data, 2022)

Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information. - Gilchan Park; Sean McCorkle; Carlos Soto 003; Ian Blaby; Shinjae Yoo (IEEE Big Data, 2022)

Quantum Long Short-Term Memory. - Samuel Yen-Chi Chen; Shinjae Yoo; Yao-Lung L. Fang (ICASSP, 2022)

Sparse Attention with Learning to Hash. - Zhiqing Sun; Yiming Yang; Shinjae Yoo (ICLR, 2022)

Peak Prediction Using Multi Layer Perceptron (MLP) for Edge Computing ASICs Targeting Scientific Applications. - Sandeep Miryala; Md. Adnan Zaman; Sandeep Mittal; Yihui Ren 001; Grzegorz Deptuch; Gabriella Carini; Sioan Zohar; Shinjae Yoo; Jack Fried; Jin Huang; Srinivas Katkoori (ISQED, 2022)

A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing. - Xihaier Luo; Ahsan Kareem; Liting Yu; Shinjae Yoo (CoRR, 2022)

A Bayesian Deep Learning Approach to Near-Term Climate Prediction. - Xihaier Luo; Balasubramanya T. Nadiga; Yihui Ren 001; Ji Hwan Park; Wei Xu 020; Shinjae Yoo (CoRR, 2022)

Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. - Gilchan Park; Byung-Jun Yoon; Xihaier Luo; Vanessa López-Marrero; Patrick R. Johnstone; Shinjae Yoo; Francis J. Alexander (BioNLP@ACL, 2023)

A Neural PDE Solver with Temporal Stencil Modeling. - Zhiqing Sun; Yiming Yang; Shinjae Yoo (ICML, 2023)

Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. - Wei Chen 043; Yihui Ren 001; 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 (ICMLA, 2023)

SwiFT: Swin 4D fMRI Transformer. - Peter Yongho Kim; Junbeom Kwon 002; Sunghwan Joo; Sangyoon Bae; Donggyu Lee; Yoonho Jung; Shinjae Yoo; Jiook Cha; Taesup Moon (NeurIPS, 2023)

Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. - Hao Huang 007; Shinjae Yoo (PAKDD (4), 2023)

Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. - Yi Huang 019; Yihui Ren 001; Shinjae Yoo; Jin Huang (SC Workshops, 2023)

A 16-channel Active-Matrix Mini-LED Driver with an USI-B for EMI noise reduction. - Y. Kwon; Y. Kwak; Y. Choi; K. Kim; S. Kim; W. Jang; J. Park; K. Ryu; Shinjae Yoo; H. W. Lim; Jin-Yup Lee (VLSI Technology and Circuits, 2023)

UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. - Dmitrii Torbunov; Yi Huang 019; Haiwang Yu; Jin Huang; Shinjae Yoo; Meifeng Lin; Brett Viren; Yihui Ren 001 (WACV, 2023)

Rethinking CycleGAN: Improving Quality of GANs for Unpaired Image-to-Image Translation. - Dmitrii Torbunov; Yi Huang 019; Huan-Hsin Tseng; Haiwang Yu; Jin Huang; Shinjae Yoo; Meifeng Lin; Brett Viren; Yihui Ren 001 (CoRR, 2023)

Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing. - Xihaier Luo; Ahsan Kareem; Shinjae Yoo (CoRR, 2023)

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. - Gilchan Park; Byung-Jun Yoon; Xihaier Luo; Vanessa López-Marrero; Patrick R. Johnstone; Shinjae Yoo; Francis J. Alexander (CoRR, 2023)

An extensible point-based method for data chart value detection. - Carlos Soto 003; Shinjae Yoo (CoRR, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM maps. - Xin Dai; Longlong Wu; Shinjae Yoo; Qun Liu (Briefings Bioinform., 2023)

Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. - Hao Huang 007; Tapan Shah 004; Scott Evans; Shinjae Yoo (AAAI, 2024)

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. - Joonwoo Kwon; Sooyoung Kim; Yuewei Lin; Shinjae Yoo; Jiook Cha (AAAI, 2024)

Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes. - Gilchan Park; Vivek Mutalik; Christopher Neely; Carlos Soto 003; Shinjae Yoo; Paramvir Dehal (BioNLP@ACL, 2024)

Federated Quantum Machine Learning with Differential Privacy. - Rod Rofougaran; Shinjae Yoo; Huan-Hsin Tseng; Samuel Yen-Chi Chen (ICASSP, 2024)

Quantum Federated Learning with Quantum Networks. - Tyler Wang; Huan-Hsin Tseng; Shinjae Yoo (ICASSP, 2024)

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning. - William M. Watkins; Heehwan Wang; Sangyoon Bae; Huan-Hsin Tseng; Jiook Cha; Samuel Yen-Chi Chen; Shinjae Yoo (ICASSP, 2024)

Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. - Xihaier Luo; Wei Xu 020; Balu Nadiga; Yihui Ren 001; Shinjae Yoo (ICLR, 2024)

Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases. - Vidur Reddy Jannapureddy; Shinjae Yoo; Huan-Hsin Tseng (ICMLA, 2024)

Sustainable and Explainable Neural Network for Real-Time Time Series Classification. - Hao Huang 007; Tapan Shah 004; Shinjae Yoo; Scott Evans (ICPR (5), 2024)

Exploring Innovative IGZO-channel based DRAM Cell Architectures and Key Technologies for Sub-10nm Node. - 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; et al. (IMW, 2024)

CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment. - Xi Yu; Shinjae Yoo; Yuewei Lin (NeurIPS, 2024)

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. - Xin Dai; Tzu-Chieh Wei; Shinjae Yoo; Samuel Yen-Chi Chen (QCE, 2024)

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. - Junghoon Park; Jiook Cha; Samuel Yen-Chi Chen; Shinjae Yoo; Huan-Hsin Tseng (QCE, 2024)

AI Surrogate Model for Distributed Computing Workloads. - David Keetae Park; Yihui Ren 001; Ozgur O. Kilic; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (SC Workshops, 2024)

Quantum Gradient Class Activation Map for Model Interpretability. - Hsin-Yi Lin; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Shinjae Yoo (SiPS, 2024)

GAN-based Extreme Conditional Distribution Estimation for Renewable Energy Systems. - Guang Zhao; Xihaier Luo; Shinjae Yoo; Nicole D. Jackson (SmartGridComm, 2024)

An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM. - Vijayalakshmi Saravanan; Perry Siehien; Shinjae Yoo; Hubertus Van Dam; Thomas Flynn 001; Christopher Kelly; Khaled Z. Ibrahim (CoRR, 2024)

Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction. - Wei Xu 020; Derek Freeman DeSantis; Xihaier Luo; Avish Parmar; Klaus Tan; Balu Nadiga; Yihui Ren 001; Shinjae Yoo (CoRR, 2024)

Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence. - Shubha R. Kharel; Prashansa Mukim; Piotr Maj; Grzegorz W. Deptuch; Shinjae Yoo; Yihui Ren 001; Soumyajit Mandal (CoRR, 2024)

Variable Rate Neural Compression for Sparse Detector Data. - Yi Huang 019; Yeonju Go; Jin Huang; Shuhang Li; Xihaier Luo; Thomas Marshall; Joseph D. Osborn; Christopher Pinkenburg; Yihui Ren 001; Evgeny Shulga; Shinjae Yoo; Byung-Jun Yoon (CoRR, 2024)

Problem-dependent convergence bounds for randomized linear gradient compression. - Thomas Flynn 001; Patrick R. Johnstone; Shinjae Yoo (CoRR, 2024)

A Training-Free Approach for Music Style Transfer with Latent Diffusion Models. - Sooyoung Kim; Joonwoo Kwon; Heehwan Wang; Shinjae Yoo; Yuewei Lin; Jiook Cha (CoRR, 2024)

Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation. - Joonwoo Kwon; Heehwan Wang; Jinwoo Lee; Sooyoung Kim; Shinjae Yoo; Yuewei Lin; Jiook Cha (CoRR, 2024)

Macro2Micro: Cross-modal Magnetic Resonance Imaging Synthesis Leveraging Multi-scale Brain Structures. - Sooyoung Kim; Joonwoo Kwon; Junbeom Kwon 002; Sangyoon Bae; Yuewei Lin; Shinjae Yoo; Jiook Cha (CoRR, 2024)

Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events. - Ayush Khot; Xihaier Luo; Ai Kagawa; Shinjae Yoo (CoRR, 2024)

Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. - 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 (Frontiers Bioinform., 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - 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; et al. (Future Gener. Comput. Syst., 2024)

INSURE: An Information Theory iNspired diSentanglement and pURification modEl for Domain Generalization. - Xi Yu; Huan-Hsin Tseng; Shinjae Yoo; Haibin Ling; Yuewei Lin (IEEE Trans. Image Process., 2024)

Stochastic projective splitting. - Patrick R. Johnstone; Jonathan Eckstein; Thomas Flynn 001; Shinjae Yoo (Comput. Optim. Appl., 2024)

Correction to: Stochastic projective splitting. - Patrick R. Johnstone; Jonathan Eckstein; Thomas Flynn 001; Shinjae Yoo (Comput. Optim. Appl., 2024)

Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control. - Ying Zhang 039; Meng Yue; Jianhui Wang 001; Shinjae Yoo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploring Robust Features for Improving Adversarial Robustness. - Hong Wang 024; Yuefan Deng; Shinjae Yoo; Yuewei Lin (IEEE Trans. Cybern., 2024)

Federated quantum long short-term memory (FedQLSTM). - Mahdi Chehimi; Samuel Yen-Chi Chen; Walid Saad; Shinjae Yoo (Quantum Mach. Intell., 2024)

Reinforcement Learning for Charged Particle Beam Control to Minimize Injection Mismatch in Particle Accelerators. - Thilina Balasooriya; Shinjae Yoo; Vincent Schoefer; Huan-Hsin Tseng; Yuan Gao 035; Weijian Lin; Chanaka De Silva (ICASSP, 2025)

Learning to Measure Quantum Neural Networks. - Samuel Yen-Chi Chen; Huan-Hsin Tseng; Hsin-Yi Lin; Shinjae Yoo (ICASSP Workshops, 2025)

Transfer Learning Analysis of Variational Quantum Circuits. - Huan-Hsin Tseng; Hsin-Yi Lin; Samuel Yen-Chi Chen; Shinjae Yoo (ICASSP Workshops, 2025)

Pareto Prompt Optimization. - Guang Zhao; Byung-Jun Yoon; Gilchan Park; Shantenu Jha; Shinjae Yoo; Xiaoning Qian (ICLR, 2025)

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. - Gilchan Park; Byung-Jun Yoon; Xihaier Luo; Vanessa López-Marrero; Shinjae Yoo; Shantenu Jha (J. Comput. Biol., 2025)

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. - Shengyu Feng; Jaehyung Kim 001; Yiming Yang; Joseph Boudreau; Tasnuva Chowdhury; Adolfy Hoisie; Raees Khan; Ozgur O. Kilic; Scott Klasky; Tatiana Korchuganova; Paul Nilsson; Verena Ingrid Martinez Outschoorn; et al. (CoRR, 2025)

GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders. - Miruna Oprescu; David Keetae Park; Xihaier Luo; Shinjae Yoo; Nathan Kallus (CoRR, 2025)

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding. - Juhyeon Park; Peter Yongho Kim; Jiook Cha; Shinjae Yoo; Taesup Moon (CoRR, 2025)

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting. - Guang Zhao; Xihaier Luo; Seungjun Lee; Yihui Ren 001; Shinjae Yoo; Luke Van Roekel; Balu Nadiga; Sri Hari Krishna Narayanan; Yixuan Sun; Wei Xu 020 (CoRR, 2025)

Spatiotemporal Learning of Brain Dynamics from fMRI Using Frequency-Specific Multi-Band Attention for Cognitive and Psychiatric Applications. - Sangyoon Bae; Junbeom Kwon 002; Shinjae Yoo; Jiook Cha (CoRR, 2025)

SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields. - David Keetae Park; Xihaier Luo; Guang Zhao; Seungjun Lee; Miruna Oprescu; Shinjae Yoo (CoRR, 2025)

Adaptive Non-local Observable on Quantum Neural Networks. - Hsin-Yi Lin; Huan-Hsin Tseng; Samuel Yen-Chi Chen; Shinjae Yoo (CoRR, 2025)

Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles. - Junghoon Justin Park; Jiook Cha; Samuel Yen-Chi Chen; Huan-Hsin Tseng; Shinjae Yoo (CoRR, 2025)

Learning to Program Quantum Measurements for Machine Learning. - Samuel Yen-Chi Chen; Huan-Hsin Tseng; Hsin-Yi Lin; Shinjae Yoo (CoRR, 2025)

STACI: Spatio-Temporal Aleatoric Conformal Inference. - Brandon R. Feng; David Keetae Park; Xihaier Luo; Arantxa Urdangarin; Shinjae Yoo; Brian J. Reich (CoRR, 2025)

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. - Shanda Li; Shinjae Yoo; Yiming Yang (CoRR, 2025)

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. - Ozgur O. Kilic; David Keetae Park; Yihui Ren 001; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (CoRR, 2025)

DIVER-0 : A Fully Channel Equivariant EEG Foundation Model. - Danny Dongyeop Han; Ahhyun Lucy Lee; Taeyang Lee; Yonghyeon Gwon; Sebin Lee; Seongjin Lee; David Keetae Park; Shinjae Yoo; Jiook Cha; Chun Kee Chung (CoRR, 2025)

Quantum Reinforcement Learning by Adaptive Non-local Observables. - Hsin-Yi Lin; Samuel Yen-Chi Chen; Huan-Hsin Tseng; Shinjae Yoo (CoRR, 2025)

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics. - David Keetae Park; Shuhang Li; Yi Huang 019; Xihaier Luo; Haiwang Yu; Yeonju Go; Christopher Pinkenburg; Yuewei Lin; Shinjae Yoo; Joseph D. Osborn; Jin Huang; Yihui Ren 001 (CoRR, 2025)