General Lab Information

Shinjae Yoo

Computational Scientist, Machine Learning Group

Computational Sciences Research Activities

  • Large-scale scientific data mining (climate, biology, astronomy, physics, etc.)
  • Text mining
  • Social network analysis (email prioritization, social media analysis)

Education

  • Ph.D., Carnegie Mellon University
  • M.S., Carnegie Mellon University
  • M.S., Seoul National University, Korea
  • B.E., Soong-sil University, Korea

Professional Appointments

  • May 2019 - present, Co-Director, Center for AI&ML@Scale, joint center between Carnegie Mellon University and Brookhaven National Laboratory
  • July 2018 - present, Machine Learning Group Lead, Computational Science Initiative, Brookhaven National Laboratory
  • Oct. 2016 - present, Computational Scientist, Computational Science Initiative, Brookhaven National Laboratory
  • Oct. 2014 - present, Adjunct Assistant Professor, Institute of Advanced Computational Science, Stony Brook University
  • Oct. 2013 - Sept. 2016, Associate Computational Scientist, Brookhaven National Laboratory
  • Oct. 2011 - Sept. 2013, Assistant Computational Scientist, Brookhaven National Laboratory
  • June 2010 - Sept. 2011, Research Associate, Brookhaven National Laboratory

Selected Publications & Research Highlights

Jin Xu, Meng Yue, Dimitrios Katramatos, Shinjae Yoo, Spatial­ Temporal Load Forecasting Using AMI Data, IEEE SmartGridComm 2016.

Shinjae Yoo, Hao Huang, Shiva Kasiviswanathan, "Streaming Spectral Clustering". IEEE International Conference on Data Engineering (ICDE) 2016.

Fei He, Shinjae Yoo, Daifeng Wang, Sunita Kumari, Mark Gerstein, Doreen Ware, Sergei Maslov, "Large-scale atlas of microarray data reveals the distinct expression landscape of different tissues in Arabidopsis", The Plant Journal.

Hao Huang, Shinjae Yoo, Dantong Yu, Hong Qin, "Diverse Power Iteration Embeddings: Theory and Practice". IEEE Transactions on Knowledge and Data Engineering (TKDE).

Jin Xu, Shinjae Yoo, John Heiser, Paul Kalb, "Sensor Network Based Solar Forecasting Using a Local Vector Autoregressive Ridge Framework". ACM SAC '16.

Hao Huang, Shinjae Yoo, Shiva Kasiviswanathan, "Unsupervised Feature Selection on Data Streams". ACM International Conference on Information and Knowledge Management (CIKM) 2015.

Shun Yao, Shinjae Yoo, Dantong Yu, "Prior knowledge driven Granger causality analysis on gene regulatory network discovery". BMC Bioinformatics, 16:273, August 2015.

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), Volume 9 Issue 4, June 2015.

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, "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.