Shinjae Yoo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
25
Active years
2005–2025
Best venue rank
A*
Where they publish
- NationalQCE8 papers
- MulticonferenceICASSP7 papers
- ASC7 papers
- MulticonferenceSAC6 papers
- ACIKM6 papers
- A*ICDM6 papers
- A*ICLR3 papers
- A*ICML3 papers
- CICMLA3 papers
- A*AAAI2 papers
- BPAKDD2 papers
- MulticonferenceICCS2 papers
- BIJCNN2 papers
- BICPR1 paper
- AWACV1 paper
- AHPDC1 paper
- A*ICCV1 paper
- AUAI1 paper
- ASDM1 paper
- A*EMNLP1 paper
- BEuroPar1 paper
- A*ICDE1 paper
- A*KDD1 paper
- CNLDB1 paper
- A*SIGIR1 paper
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | 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, Weijian Lin, Chanaka De Silva |
| 2025 | ICASSP | Learning to Measure Quantum Neural Networks. | Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo |
| 2025 | ICASSP | Transfer Learning Analysis of Variational Quantum Circuits. | Huan-Hsin Tseng, Hsin-Yi Lin, Samuel Yen-Chi Chen, Shinjae Yoo |
| 2025 | ICLR | Pareto Prompt Optimization. | Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian |
| 2025 | ICML | Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. | Shanda Li, Shinjae Yoo, Yiming Yang |
| 2025 | ICML | 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 |
| 2025 | QCE | Neural Architecture Search for Quantum Autoencoders. | Hibah Agha, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo |
| 2025 | QCE | Learning to Program Quantum Measurements for Machine Learning. | Samuel Yen-Chi Chen, Huan-Hsin Tseng, Hsin-Yi Lin, Shinjae Yoo |
| 2025 | QCE | Quantum Reinforcement Learning by Adaptive Non-Local Observables. | Hsin-Yi Lin, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Shinjae Yoo |
| 2025 | QCE | Adaptive Non-Local Observable on Quantum Neural Networks. | Hsin-Yi Lin, Huan-Hsin Tseng, Samuel Yen-Chi Chen, Shinjae Yoo |
| 2025 | QCE | A Sample-Efficient Quantum-Classical Reinforcement Learning Framework for Transmission Switching. | Ding Lin, Jianhui Wang, Huan-Hsin Tseng, Shinjae Yoo, Tianqiao Zhao, Meng Yue |
| 2025 | QCE | Resting-State fMRI Analysis Using Quantum Time-Series Transformer. | Junghoon Justin Park, Jungwoo Seo, Sangyoon Bae, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Jiook Cha, Shinjae Yoo |
| 2025 | SC | Error Analysis of Globally Distributed Workflow Management System. | 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, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie |
| 2025 | SC | Data Management System Analysis for Distributed Computing Workloads. | 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, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie |
| 2025 | SC | CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. | 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, Frdric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov |
| 2024 | AAAI | Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. | Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo |
| 2024 | AAAI | AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. | Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha |
| 2024 | ICASSP | Federated Quantum Machine Learning with Differential Privacy. | Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen |
| 2024 | ICASSP | Quantum Federated Learning with Quantum Networks. | Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo |
| 2024 | ICASSP | 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 |
| 2024 | ICLR | Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks. | Xihaier Luo, Wei Xu, Balu Nadiga, Yihui Ren, Shinjae Yoo |
| 2024 | ICMLA | 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 |
| 2024 | ICPR | Sustainable and Explainable Neural Network for Real-Time Time Series Classification. | Hao Huang, Tapan Shah, Shinjae Yoo, Scott Evans |
| 2024 | QCE | Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. | Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen |
| 2024 | QCE | Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning. | Junghoon Park, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo, Huan-Hsin Tseng |
| 2024 | SC | AI Surrogate Model for Distributed Computing Workloads. | 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, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie |
| 2023 | ICML | A Neural PDE Solver with Temporal Stencil Modeling. | Zhiqing Sun, Yiming Yang, Shinjae Yoo |
| 2023 | ICMLA | Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. | 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 | PAKDD | Dynamic Variable Dependency Encoding and Its Application on Change Point Detection. | Hao Huang, Shinjae Yoo |
| 2023 | WACV | UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation. | Dmitrii Torbunov, Yi Huang, Haiwang Yu, Jin Huang, Shinjae Yoo, Meifeng Lin, Brett Viren, Yihui Ren |
| 2023 | SC | Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. | Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang |
| 2022 | ICASSP | Quantum Long Short-Term Memory. | Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang |
| 2022 | ICLR | Sparse Attention with Learning to Hash. | Zhiqing Sun, Yiming Yang, Shinjae Yoo |
| 2021 | HPDC | Access Patterns to Disk Cache for Large Scientific Archive. | Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa |
| 2021 | ICCS | Hierarchical Analysis of Halo Center in Cosmology. | Zichao (Wendy) Di, Esteban Rangel, Shinjae Yoo, Stefan M. Wild |
| 2021 | ICCV | AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. | Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin |
| 2021 | ICMLA | Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder. | Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang |
| 2021 | IJCNN | Learning Associations between Features and Clusters: An Interpretable Deep Clustering Method. | Hao Huang, Feng Xue, Weizhong Yan, Tianyi Wang, Shinjae Yoo, Chenxiao Xu |
| 2021 | IJCNN | A Deep Neural Network for Multivariate Time Series Clustering with Result Interpretation. | Chenxiao Xu, Hao Huang, Shinjae Yoo |
| 2021 | SAC | Flight data anomaly detection and diagnosis with variable association change. | Sijie He, Hao Huang, Shinjae Yoo, Weizhong Yan, Feng Xue, Tianyi Wang, Chenxiao Xu |
| 2021 | SAC | Interpretable temporal GANs for industrial imbalanced multivariate time series simulation and classification. | Hao Huang, Chenxiao Xu, Shinjae Yoo |
| 2020 | CIKM | Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. | Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue |
| 2020 | SC | 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, Nicholas D'Imperio, Wei Xu, Shinjae Yoo, Kerstin Kleese van Dam |
| 2020 | UAI | Bounding the expected run-time of nonconvex optimization with early stopping. | Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo |
| 2020 | SDM | Efficient and Effective Graph Convolution Networks. | Siwu Liu, Ji Hwan Park, Shinjae Yoo |
| 2019 | CIKM | System Deterioration Detection and Root Cause Learning on Time Series Graphs. | Hao Huang, Shinjae Yoo, Yunwen Xu |
| 2019 | CIKM | Scalable Causal Graph Learning through a Deep Neural Network. | Chenxiao Xu, Hao Huang, Shinjae Yoo |
| 2019 | EMNLP | Visual Detection with Context for Document Layout Analysis. | Carlos Soto, Shinjae Yoo |
| 2019 | ICCS | Exploratory Visual Analysis of Anomalous Runtime Behavior in Streaming High Performance Computing Applications. | Cong Xie, Wonyong Jeong, Gyorgy Matyasfalvi, Hubertus Van Dam, Klaus Mueller, Shinjae Yoo, Wei Xu |
| 2019 | ICDM | Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. | Hao Huang, Chenxiao Xu, Shinjae Yoo |
| 2019 | SC | Performance Analysis of Deep Learning Workloads on Leading-edge Systems. | Yihui Ren, Shinjae Yoo, Adolfy Hoisie |
| 2017 | EuroPar | 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, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kur, 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 | ICDE | Streaming spectral clustering. | Shinjae Yoo, Hao Huang, Shiva Prasad Kasiviswanathan |
| 2016 | SAC | Sensor network based solar forecasting using a local vector autoregressive ridge framework. | Jin Xu, Shinjae Yoo, John Heiser, Paul Kalb |
| 2015 | CIKM | Unsupervised Feature Selection on Data Streams. | Hao Huang, Shinjae Yoo, Shiva Prasad Kasiviswanathan |
| 2015 | PAKDD | A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field. | Jin Xu, Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb |
| 2015 | SAC | Solar irradiance forecasting using multi-layer cloud tracking and numerical weather prediction. | Jin Xu, Shinjae Yoo, Dantong Yu, Dong Huang, John Heiser, Paul Kalb |
| 2014 | ICDM | Diverse Power Iteration Embeddings and Its Applications. | Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin |
| 2014 | ICDM | Noise-Resistant Unsupervised Feature Selection via Multi-perspective Correlations. | Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin |
| 2014 | SAC | Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. | Hao Huang, Shinjae Yoo, Konstantine Kaznatcheev, Kevin G. Yager, Fang Lu, Dantong Yu, Oleg Gang, Andrei Fluerasu, Hong Qin |
| 2014 | SAC | 3D cloud detection and tracking for solar forecast using multiple sky imagers. | Zhenzhou Peng, Shinjae Yoo, Dantong Yu, Dong Huang, Paul Kalb, John Heiser |
| 2013 | ICDM | Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery. | Shun Yao, Shinjae Yoo, Dantong Yu |
| 2012 | CIKM | Local anomaly descriptor: a robust unsupervised algorithm for anomaly detection based on diffusion space. | Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu |
| 2012 | ICDM | A New Anomaly Detection Algorithm Based on Quantum Mechanics. | Hao Huang, Hong Qin, Shinjae Yoo, Dantong Yu |
| 2011 | CIKM | Modeling personalized email prioritization: classification-based and regression-based approaches. | Shinjae Yoo, Yiming Yang, Jaime G. Carbonell |
| 2011 | ICDM | A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping. | Hao Huang, Shinjae Yoo, Hong Qin, Dantong Yu |
| 2009 | KDD | Mining social networks for personalized email prioritization. | Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon |
| 2008 | NLDB | Using Semantic Features to Improve Task Identification in Email Messages. | Shinjae Yoo, Donna Gates, Lori S. Levin, Simon Fung, Sachin Agarwal, Michael Freed |
| 2005 | SIGIR | Robustness of adaptive filtering methods in a cross-benchmark evaluation. | Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel |