Research Interests :Large scale data driven discovery on scientific data (physics, biology, neuroscience, climate, astronomy, etc), social media analytics, text mining, scalable learning methods, etc.
Education
Shinjae Yoois an associate computational scientist of Computational Science Center at Brookhaven National Laboratory and an adjunct assistant professor of Institute of Advanced Computational Science at Stony Brook University. He received his Ph.D. and Masters degree from Carnegie Mellon University. His Masters degree was received at Seoul National University, Korea. He received Bachelor's degree from Soong-sil University, Korea.
Publications
Hao Huang,Shinjae Yoo, Dantong Yu, Hong Qin, "Density-aware Clustering based on Aggregated Heat Kernel and Its Transformation". ACM Transactions on Knowledge Discovery from Data (TKDD) (accepted).
Zhenzhou Peng, Dantong Yu, Dong Huang, John Heiser,Shinjae Yoo, Paul Kalb, "3D Cloud Detection and Tracking System for Solar Forecast Using Multiple Sky Imagers". Solar Energy (2015), pp. 496-519.
Jin Xu,Shinjae Yoo, Dantong Yu, Hao Huang, Dong Huang, John Heiser, Paul Kalb, "A Stochastic Framework for Solar Irradiance Forecasting Using Conditional Random Field". In Advances in Knowledge Discovery and Data Mining, pp. 511-524. Springer International Publishing, 2015.
Jin Xu,Shinjae Yoo, Dantong Yu, Dong Huang, John Heiser, Paul Kalb, "Solar Irradiance Forecasting using Multi-layer Cloud Tracking and Numerical Weather Prediction". ACM Symposium on Applied Computing (SAC) 2015.
Hao Huang,Shinjae Yoo, Dantong Yu, Hong Qin, "Diverse Power Iteration Embeddings and Its Applications". IEEE International Conference on Data Mining (ICDM), 2014.
Hao Huang,Shinjae Yoo, Dantong Yu, Hong Qin, "Noise-Resistant Unsupervised Feature Selection via Multi-Perspective Correlations". IEEE International Conference on Data Mining (ICDM), 2014.
Hao Huang, Hong Qin,Shinjae Yoo, Dantong Yu, "Physics-based Anomaly Detection Defined on Manifold Space". ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 9(2), September, 2014.
Zhenzhou Peng,Shinjae Yoo, Dantong Yu, Dong Huang, Paul Kalb, John Heiser, "3D Cloud Detection and Tracking for Solar Forecast using Multiple Sky Imagers". ACM Symposium on Applied Computing (SAC) 2014.
Hao Huang,Shinjae Yoo, Konstantine Kaznatcheev, Kevin Yager, Fang Lu, Dantong Yu, Oleg Gang, Hong Qin, "Diffusion-based Clustering Analysis of Coherent X-ray Scattering Patterns of Self-assembled Nanoparticles". ACM Symposium on Applied Computing (SAC) 2014.
Shun Yao,Shinjae Yoo, Dantong Yu, "Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery". IEEE International Conference on Data Mining (ICDM) 2013 Workshop on Causal Discovery.
Zhenzhou Peng,Shinjae Yoo, Dantong Yu, Dong Huang, "Solar Irradiance Forecast System Based on Geostationary Satellite". IEEE SmartGridComm 2013.
Hao Huang, Jin Xu, Zhenzhou Peng,Shinjae Yoo, Dantong Yu, Dong Huang, Hong Qin, "Cloud Motion Estimation for Short Term Solar Irradiation Prediction". IEEE SmartGridComm 2013.
Hao Huang, Hong Qin,Shinjae Yoo, Dantong Yu, "A New Anomaly Detection Algorithm based on Quantum Mechanics". ICDM 2012.
Hao Huang, Hong Qin,Shinjae Yoo, Dantong Yu, "Local Anomaly Descriptor: A Robust Unsupervised Algorithm for Anomaly Detection based on Diffusion Space". CIKM 2012.
Hao Huang,Shinjae Yoo, Dantong Yu, Dong Huang, Hong Qin, "Correlation and Local Feature Based Cloud Motion Estimation". KDD Mutimedia Data Mining (MDM) workshop -- MDMKDD 2012.
Hao Huang,Shinjae Yoo, Hong Qin, and Dantong Yu, "A Robust Clustering Algorithm Based on Aggregated Heat Kernel Mapping". ICDM 2011
Shinjae Yoo, Yiming Yang and Jaime Carbonell, "Modeling Personalized Email Prioritization: Classification-based and Regression-based Approaches". CIKM 2011
Hao Huang,Shinjae Yoo, Dantong Yu, Dong Huang, and Hong Qin, "Cloud Motion Detection for Short Term Solar Power Prediction". ICML 2011 Workshop on Machine Learning for Global Challenges
Yiming Yang,Shinjae Yoo, Frank Lin and II-Chul Moon, "Personalized email prioritization based on content and social network analysis". IEEE Intelligent Systems: Special Issue on Social Learning, Vol. 25(4), pp12-18, July/August 2010.
Shinjae Yoo, "Machine Learning Methods for Personalized Email Prioritization", Ph.D. Thesis, CMU-LTI-10-11, Carnegie Mellon University.
Shinjae Yoo, Yiming Yang, Frank Lin and Il-Chul Moon, "Mining Social Networks for Personalized Email Prioritization". SIGKDD 2009: 967-976
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
Yiming Yang,Shinjae Yoo, Jian Zhang, Bryan Kisiel, "Robustness of adaptive filtering methods in a cross-benchmark evaluation". SIGIR 2005: 98-105
Yiming Yang,Shinjae Yoo, Jian Zhang, Bryan Kisiel, "A Cross-benchmark Evaluation of Adaptive Filtering Methods". In Proceedings of The 2005 International Conference on Intelligence Analysis (IA 2005)
Shinjae Yoo, "An XML Retrieval Model based on Structural Proximities". INEX Workshop 2002: 125-132
Shinjae Yoo, Kyung-Sub Min, Hyoung-Joo Kim, "XML Document Retrieval Models for Heterogeneous Data Set by Using Independent Regular Paths". Journal of KISS, 30(2), pp 140~152, Feb. 2003
Shinjae Yoo, "A Structural Proximity-based XML Ranking Model for Irregular Structured Documents", Masters Thesis, Seoul National University, 2002.