Signal processing, statistics and machine learning. I am particularly interested in sequential analysis and change-point detection, and their broad applications in sensor networks, social networks, imaging and wireless communications.
ISyE 6416, Computational Statistics, Spring 2017.
I am co-organizing a special session "Sequential methods for high-dimensional structured signals" at ICASSP 2017 (co-organizer: V. V. Veeravalli).
Oct. 2016, receive the IMAT Seed Grant Award. Our proposal is entitled "Dynamically Responsive Scanning Diffraction for High-Throughput Analysis of Phase Assemblage in Functional Complex Oxides", and the my role is to process the high-dimensional sequential data. This project is collaborating with J. Kacher and M. Losego at the School of Material Science, Georgia Tech.
Oct. 2016, present at the Georgia Statistics Day Conference.
Sept. 2016, present two papers at the Allerton conference: "Seismic event picking via sequential change-point detection" (with S. Li, Y. Cao, C. Leamon, L. Shi, and W. Song) and "Sequential rank change detection" (with L. Seversky).
Sept. 2016, attend SAMSI workshop on Distributed and Parallel Data Analysis.
Sept. 2016, present at South Big Data Hub workshop, Applications of Analytics and Machine Learning in Energy.
July 2016, one paper accepted by Asilomar conference: "Dynamic change-point detection using correlation networks" (with S. Cao and Y. Chen).
April 2016, Shuang Li received the 2016 Alice and John Jarvis Ph.D. Student Research Award Honorable Mention. Congratulations Shuang!
April 2016, awarded Visiting Faculty Research Program (VFRP) to work in Air Force Research Lab, Information Directorate in summer.
April 2016, new arXiv paper "Detecting weak changes in dynamic events over networks" (with Shuang Li, Mehrdad Farajtabar, and Le Song); paper "Multi-sensor slope change detection", (with Yang Cao, and Nagi Gebraeel), was accepted by Annals of Operations Research.
March 2016, Christina Leamon's abstract "Change detection of tectonic plate movement in Santorini, Greece" was accepted for an oral presentation at the 11th Annual Undergraduate Research Symposium at Georgia Tech.
March 2016, gave an invited talk at the CISS conference at Princeton.
February 2016, gave an invited talk at the 2016 ITA workshop held at UCSD.
February 2016, gave a seminar at UIUC, ECE department.
Nov. 2015, presented at Asilomar conference and be Session Chair. I will also visit Yahoo Research Lab.
Oct. 2015, was elected to be a member of IEEE Machine Learning for Signal Processing Technical Committee (MLSP TC) for a term 2016-2019, and gave a invited talk at Allerton conference. Our paper "Poisson matrix recovery and completion" was accepted by IEEE Transactions on Signal Processing.
July 2015, Yang Cao was selected to receive a Robert Goodell Brown Fellowship for ISyE in recognition of his strong academic and research achievements. Congratulations Yang!
May-Sept. 2015, submitted several papers: "M-statistic for kernel change-point detection" with S. Li, H. Dai and L. Song (conference version accepted at NIPS 2015), "Multi-sensor slope change detection" with Y. Cao (conference version accepted at Allerton 2015), "Online supervised subspace tracking", with R. Song, H. Dai, Q. Li and L. Song (conference version accepted at Asilomar 2015), "Categorical matrix completion" with Y. Cao (conference version accepted at CAMSAP 2015), and "Sketching for sequential change-point detection" with M. Wang and A. Thompson (conference version accepted at GlobalSIP 2015). "Seismic event picking via sequential change-point detection", with Y. Cao, S. Li, C. Leamon, L. Shi, and W.-Z. Song.
July 2015, our proposal got funded: NSF CMMI-1538746, Collaborative Research: Combining statistical process control and optimization via simulation for robust sensor network design in the presence of sensor measurement error, with PI: Seong-Hee Kim (Georgia Tech) and Co-PI: Aral Mustafa (Georgia Tech).
Aug. 2015, gave a statistics seminar at UGA. June 2015, presented at ISIT. June 14-19, presented at IWSM. June 22-24, gave seminars at Tsinghua University, the Chinese Academy of Sciences, and the Chinese University of Hong Kong (CUHK).