• Wang, Y. Recent Development on Sparse Learning with Application to Brain Imaging. Poster Presentation at Georgia Statistics Day, Athens, GA, Oct 2018.
• Wang, Y. DensParcorr: an efficient R package for estimating large scale brain functional network. Invited Presentation at VA Hospital, Decatur, GA, Sept 2018.
• Wang Y. and Guo Y. (2018) Longitudinal Independent Component Modeling Framework with Application to fMRI Study . JSM 2018, Aug 2018, Vancouver, Canada, USA.
• Wang Y. (2018) Novel Unsupervised Signal Separation Methods for High-dimensional fMRI Data Decomposition. Invited Poster Presentation at 6th Workshop on Biostatistics & Bioinformatics, ASA Ga Chapter, May 2018, Atlanta, GA.
• Wang Y. (2018) Novel Unsupervised Signal Separation Methods for High-dimensional fMRI Data Decomposition. Southern Data Science Conference 2018, Apr 2018, Atlanta, GA.
• Wang Y. and Guo Y. (2018) Longitudinal Independent Component Analysis with Application to fMRI Data . ENAR 2018, Mar 2018 Atlanta, GA, USA.
• Wang Y. and Guo Y. (2017) Longitudinal Independent Component Analysis with Application to fMRI Data . Poster presentation at Workshop on Applications-Driven Geometric Functional Data Analysis, Oct 2017, Tallahassee, FL, USA.
• Wang Y. and Guo Y. (2017) Longitudinal Independent Component Analysis with Application to fMRI Data . Contributed presentation at JSM 2017, August 2017, Baltimore, MD, USA.
• Wang Y. and Guo Y. (2017) A novel hierarchical independent component analysis framework with application to longitudinal ADNI2 study. Annual Meeting of the Organization for Human Brain Mapping (OHBM), June 2017, Vancouver, Canada.
• Wang Y. (2017) A hierarchical ICA framework for modeling the longitudinal brain functional network. Poster presentation at the 5th Workshop on Biostatistics and Bioinformatics by ASA Georgia Chapter, May 2017, Atlanta, GA, USA.
• Wang Y. (2016) An efficient and reliable statistical method for estimating large scale brain networks using partial correlation . Poster presentation at GA Statistics Day at Georgia Tech University, October 2016, Atlanta, GA, USA.
• Wang Y. (2016) A novel statistical method for estimating the large scale brain functional connectiviity based on partial correlation. Poster presentation at Challenges and Advances on Big Data in Neuroimaging Conference, August 2016, Cleveland, OH, USA.
• Wang Y. (2016) An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation with application to PNC study. Poster presentation at JSM 2016, August 2016, Chicago, IL, USA.
• Higgins, I, Wang, Y, and Guo, Y. An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation. Annual Conference of Statistical Methods in Imaging, Denver, CO, June, 2016.
• Guo, Y and Wang, Y. An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation. Annual Meeting of the Organization for Human Brain Mapping (OHBM), Geneva, Switerland, June, 2016
• Wang Y. (2016) An noval statistical method for estimating functional connectivity in large scale brain networks based on partial correlation. In the invited poster session of the Transition Workshop on Computational Neuroscience at SAMSI, May, 2016, Research Triangle Park, NC, USA.
• Wang, Y and Guo Y. (2015) Statistical methods for characterization and classification of brain functional networks: with application to Philadelphia Neurodevelopmental Cohort study. Poster Presentation for the Charles C. Shepard Award, Atlanta, USA, May 2015.

Incoming Presentations & Talks

• Invited Talk on Brain Imaging Statistics for the 7^th East Lake International Forum for Outstanding Overseas Young Scholars, Wuhan, China, Dec 2018.