2022
November 17, 2022, Mingyan Li has successfuly delivered her proposal defense for her PhD thesis on Robust Online and Offline Machine Learning Methods.
October 7-9, 2022, Matt Jester and Mingyan Li gave presentations at AISC 2022.
September 28, 2022, "Environmental Standards and Stock Returns" project was completed. If you are interested, please check the paper at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4232425
September 23, 2022, Xiaoli Gao gave a seminar talk at Division of Bioinformatics and Biostatistics, College of Medicine, University of Cincinnati.
August 24, 2022, Xiaoli Gao delivered a colloquium talk at Department of Mathematics and Statistics, UNCG.
June 2022, "High-dimensional robust approximated M-estimators for mean regression with asymmetric data" (by Bin Luo and Xiaoli Gao) was accepted by Journal of Multivariate Analysis. R code will be posted soon in R the code session.
April 2022, "Penalized Weighted Proportional Hazards Model for Robust Variable Selection and Outlier Detection " (by Bin Luo, Xiaoli Gao and Susan Halabi) was accepted by Statistics in Medicine. R code will be posted soon in R the code session.
March 2022, "Robust Moderately Clipped LASSO for Simultaneous Outlier Detection and Variable Selection" by Yang Peng, Xiaoli Gao and Bin Luo, has been accepted for publication in Sankhya B.
2021
August 2021, our paper "A High-dimensional M-estimator Framework for Bi-level Variable Selection" (by Bin Luo and Xiaoli Gao) was accepted by Annals of the Institute of Statistical Mathematics. The link is https://arxiv.org/abs/1911.11646. R code will be posted soon in R the code session.
August 2021, a five year Simons Foundation grant was awarded on "Robust Penalized Regression for Complex Big Data Analysis." PI: Xiaoli Gao
July 2021, two REU students (Michael Zheng from University of Connecticut and Sithija Manage from Texas A&M University finished their REU projects and gave their REU final presentations, with assistants from two PhD students Matt Jester and Reetika Sarkar.
June 2021, Matt Jester gave an invited (virtual) talk at EcoSta, 2021.
April 2021, Philip Zhu has accepted a job offer (Data Scientist) from Amazon.
2020
04-06, Philip Zhu has accepted an GA offer to continue his PhD study in the group.
03-17, Bin Luo has successfully defended his thesis, titled with "ROBUST PENALIZED REGRESSION FOR COMPLEX HIGH-DIMENSIONAL DATA." Congratulations ! Dr. Luo. He has accepted an offer of Postdoctoral Associate Position from Department of Biostatistics & Bioinformatics | Duke School of Medicine.
01-24, a three year grant, NSF-REU was awarded. Xiaoli Gao is the co-PI, Sat Gupta is the PI.
2019
October 2019, a paper written by Bety Rostandy and Xiaoli Gao' was accepted for publication by Metabolomics. Botanical metabolite ions extraction from full electrospray ionization mass spectrometry using high-dimensional penalized regression
October 2019, former Master student, Xiangpan Li, started her new position as an Associate Risk Consultant at The Financial Risk Group, Raleigh, NC
August 2019, Xiaoli Gao started her Research Leave for Spring 2020. She will visit SAMSI during her research leave.
July 2019, former Master student, Bety Rostandy, has accepted and started her first new position of Research Support Specialist at Rockefeller University Proteomics Resource Center. Congratulations! Bety
July 2019, Xiaoli Gao organized an invited talk session at IMS-China 2019 at Dalian, China. She also gave a talk in the same session.
June-July 2019, Xiaoli Gao was invited to visit Professor Zehua Chen at National University of Singapore for two weeks
June 2019, Bin was invited to give a talk at ICSA 2019 Applied Statistics Symposium
June 2019, Xiaoli was invited to give a talk at ICSA 2019 Applied Statistics Symposium
June 2019, Yang Peng was presenting her master project paper at ICSA 2019 Applied Statistics Symposium
June 2019, former Master student, Yang Peng, has accepted a Data Scientist offer from CentralSquare Technologies, Greensboro, NC. Congratulations! Yang
May 8th, Xiangpan Li and Yang Peng has presented their master projects. Xianpan's research project is High-Dimensional Inference of LAD Regression With LASSO. Yang's research project is Robust Moderately Clipped LASSO for Simultaneous Outlier Detection and Variable Selection.