Conference invited
A Pipeline for Analyzing High-throughput Plant Phenotyping Data, invited talk at The Plant Phenomics webinar, May, 2021.
Sharp Optimality for High Dimensional Covariance Testing, invited talk at CFE-CMStatistics 2020 (virtual), Dec, 2020.
Sharp Optimality for High Dimensional Covariance Testing, invited talk at The ICSA 2020 Applied Statistics Symposium (virtual), Dec, 2020.
Simple Plant Image Segmentation by Neural Network, invited talk at The Plant Phenome Journal (TPPJ) webinar, February, 2020.
Statistical Learning for High-throughput Plant Phenotyping, the 11th ICSA International Conference, Hangzhou, China, December, 2019.
Statistical Learning for High-throughput Plant Phenotyping, Network Analysis and Deep Learning Workshop 2019, Peking University, Beijing, China, December, 2019.
Optimal Thresholding Test for High Dimensional Covariance Matrices, invited talk at IMS-China International Conference on Statistics and Probability, Dalian, China, July, 2019.
Estimating Multi-level Partial Correlation Graphs, invited talk at 2019 ICSA Applied Statistics Symposium, Raleigh, June 2019.
Thresholding Inference for Covariance Learning, 2018 ICSA China Conference with the Focus on Data Science, Qingdao, China, July 2-5, 2018.
Thresholding Inference for Covariance Learning, The 8th International Forum on Statistics, Renmin University of China, Beijing, China, July 1-2, 2018.
Thresholding Inference for Covariance Learning, The 2nd International Conference on Econometrics and Statistics (EcoSta 2018), City University of Hong Kong, Hong Kong, June 19-21, 2018.
Estimating Multi-level Brain Connectivities based on fMRI Data, invited talk at 2017 ICSA Applied Statistics Symposium, Chicago, July 2017.
Estimating Multi-level Brain Connectivities based on fMRI Data, invited talk at 1st International Conference on Econometrics and Statistics, Hongkong, July, 2017.
Optimal tuning parameter selection for estimating large covariances, invited talk at The Second Conference on High-Dimensional Statisticsin the Age of Big Data, Beijing, China, May, 2017.
Inference for Precision Matrices under Time Dependent Data, invited talk at the 10th ICSA International Conference, Shanghai, China, December, 2016.
A Neighborhood-Assisted Hotelling’s Test for High-Dimensional Means, invited talk at ICSA Conference on Data Science, Dali, China, July, 2016.
Signal Detection and Identification via Thresholding Maximum Likelihood Estimators, invited talk at The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, Hong Kong, June, 2016.
A Neighborhood-Assisted Hotelling’s Test for High-Dimensional Means, invited talk at 3rd conference of the International Society for Non-Parametric Statistics (ISNPS), Avignon, France, June, 2016.
Bootstrap Inference for Complex Dependence Structures, invited talk at CMStatistics 2015, London, UK, December, 2015.
Signal Detection and Identification via Thresholding Maximum Likelihood Estimators, invited talk at 2015 IMS-China, Kunming, July, 2015
Signal Detection under Generalized Linear and Generalized Linear Mixed Models, invited talk at ICSA / Graybill Conference, Fort Collins, June, 2015.
Detection of Rare and Faint Signals on High-Dimensional Count Distributions, invited talk at SAMSI, May, 2015.
Test for Bandedness of High-dimensional Covariance Matrices, invited talk at IMS-China International Conference on Statistics and Probability, Xi An, China, July, 2011.
Department invited:
Residual Refitting Inference for High-dimensional regression, invited talk at Department of Economy, UW, Seattle, April, 2021.
Comparing Containment Measures by Epidemiological Effects of COVID-19, invited talk at Baker Center seminar series on SARS-CoV-2/COVID-19 (virtual), ISU, Nov 2020.
Large Scale Inference for Correlation and Partial Correlation, invited talk at Theoretical and Applied Data Science Lunch-n-Learn, ISU, Oct 2019.
Inference for High Dimensional Partial Correlation, invited talk at Fred Hutch, Seattle, July 2019.
R tidyverse package for data analysis, invited talk at School of Mathematics, Shanghai University, December, 2018.
Thresholding Inference for Covariance Learning, invited talk at Department of Statistics, Iowa State University, January, 2018.
A Neighborhood-Assisted Hotelling’s Test for High-Dimensional Means, invited talk at School of Mathematics, Shanghai University, October, 2017.
Statistical Inference for Large Precision Matrices with Applications to Brain Connectivity, invited talk at Department of Statistics, Iowa State University, February, 2017.
Optimal Bandwidth Selection for Estimating Large Bandable Covariance Matrices, invited talk at Department of Mathematics, Shanghai University, China, July, 2016.
Bootstrap Inference for Complex Dependence Structures, invited talk at Department of Statistics, University of Nebraska Lincoln, November, 2015.
Detection of Rare and Faint Signals on High-Dimensional Count Distributions, invited talk at Department of Statistics, University of Missouri - Kansas City, March, 2015.
Detection of Rare and Faint Signals on High-Dimensional Count Distributions, invited talk at Department of Statistics, University of Nebraska Lincoln, November, 2014.
Tuning Parameter Selection for High Dimensional Covariance Matrix Estimation, invited talk at Department of Statistics, University of Nebraska Lincoln, February, 2014.
Tuning Parameter Selection for High Dimensional Covariance Matrix Estimation, invited talk at Department of Statistics, Chinese University of Hong Kong, February, 2014.
Tuning Parameter Selection for High Dimensional Covariance Matrix Estimation, invited talk at Department of Statistics, North Carolina State University, January, 2014.
Others:
A Neighborhood-Assisted Hotelling’s Test for High-Dimensional Means, topic contributed talk at the Joint Statistical Meetings, Chicago, August, 2016.
Signal Detection on High-Dimensional Count Distributions, contributed talk at the Joint Statistical Meetings, Seattle, August, 2015.
Band Width Selection for High-dimensional Covariance Matrix Estimation, contributed talk at the Joint Statistical Meetings, Montreal, August, 2013.
Test for Bandedness of High-dimensional Covariance Matrices and Bandwidth Estimation, NSF Workshop for High-Dimensional Data, Department of Statistics, Yale University, June, 2012.
Test for Bandedness of High-dimensional Covariance Matrices and Bandwidth Estimation, contributed talk at the Joint Statistical Meetings, Miami Beach, August, 2011.