Yao Xie 谢瑶Previous Updates (before 2022)I look forward to participating the newly annouced NSF AI Institute for Advances in Optimization. Our paper "Data-driven optimization for police zone design" (jointly with Woody Zhu and He Wang) was selected as a Finalist of the INFORMS Wagner Prize 2021. At INFORMS 2021, I am organizing a Committee Choice Session "Analytics for policing and urban public service operations" (jointly with He Wang), and "Modern algorithms for threat detection." Nov. 2021, talk at Monie A. Ferst Award Symposium, in honor of Professor Jeff Wu. Nov. 2021, I will talk at Cornell ORIE Colloquium. I serve as an Area Chair for NeurIPS 2021. September 2021, give a tutorial entitled "Learning point process networks using discrete events data" at the Graduate International Workshop on Intelligent Signal Processing, organized by Zhejiang University. Aug 2021, talk at IFDS-MADLab Workshop. July 2021, give a short course on "Introduction to Machine Learning and Statistical Modeling" to Center for Disease Control (CDC), Statistical Advisory Group. July 2021, talk at Bernoulli-IMS 10th World Congress in Probability and Statistics. July 2021, talk at Online Seminar on Mathematical Foundations of Data Science. Feb. 2021, virtual ECE seminar at University of California, Davis. Feb. 2021, virtual SILO seminar at University of Wisconsin Madison. Dec. 2020, virtual statistics seminar at University of Pennsylvania, Wharton School. Nov. 2020, virtual seminar at CMU, Tepper School of Business. Nov. 2020, "Woody" Shixiang Zhu won the Second Place in the Best Paper Competititon for the 15th INFORMS Workshop on Data Mining and Decision Analytics for paper entitled "Sequential Adversarial Anomaly Detection for Dependent Events". Congratulations! Nov. 2020, co-found and co-organized the new Machine Learning/AI Cluster at 2020 INFORMS meeting. Nov. 2020, virtual seminar at University of South Florida. Oct. 2020, Liyan Xie and Henry Yuchi received the Georgia Tech IDEaS-TRIAD Research Scholarship, for their projects "Distributionally Robust Statistical Tests and Learning" and “Diffusion-based Gaussian Process Dynamic Model for Material Degradation and Prognostic Analysis”. Congratulations! Oct. 2020, co-organizing a Special Issue at IEEE Journal on Selected Areas in Information Theory, on "Sequential, active, and reinforcement learning". Please see here for call-for-paper. Oct. 2020, Liyan Xie was selected to participate the "Rising Stars 2020" Workshop. Congratulations! Oct. 2020, virtual statistics seminar at Duke University. July 2020, virtual seminar at CDC on "High-resolution spatio-temporal covariates models for county-level COVID-19 data in the US". July 2020, Alexander Bukharin received the President’s Undergraduate Research Salary Award (PURA) for working on our project: COVID-19 spatial-temporal sequential modeling and prediction. June 2020, I was selected to join the 2020-2021 Cohort of the Office of Provost's Emerging Leaders Program. May 2020, give virtual statistics seminar at Rutgers University. April 2020, Alexander Bukharin received the GT COE Outstanding Undergraduate Research Award for his work with us on Atlanta police districting. March 2020, I organized a session on "Recent Advances in Sequential Analysis" at CISS, Princeton (canceled due to COVID-19). I will serve as an Associate Editor for Sequential Analysis, 2020-2022. Jan. 2020, our group has 3 papers accepted by IEEE ICASSP 2020: "Adversarial anomaly detection for marked spatio-temporal streaming data", "Online community detection by spectral CUSUM", and "Sequential vessel trajectory identification using truncated Viterbi algorithm." Dec. 2019, attend TBSI Workshop on Data Science, in ShenZhen, China. Nov. 2019, elected IEEE SAM (Sensor Array and Multichannel) Technical Committee member. Nov. 2019, give a seminar at the Mathematical Colloqium at RPI. Nov. 2019, talk at Health Systems: The Next Generation Forum at Georgia Tech. Oct. 2019, Woody received 2nd place INFORMS "Doing Good with Good OR" Student Paper Competition, for "Data driven optimization for Atlanta Police zone design". Joint work with myself and He Wang. Oct. 2019, present at NSF ATD workshop. Oct. 2019, co-organize Georgia Statistics Day, in Oct. 2019. Oct. 2019, seminar at WUSTL, Department of Math and Statistics. Sept. 2019, appointed the Associate Editor of IEEE Transactions on Signal Processing. Sept. 2019, seminar at CMU, Department of Statistics and Data Science. August 2019, Liyan Xie received the Runner-Up for the INFORMS Computing Society Student Paper Prize for "Robust Hypothesis Testing with Wasserstein Uncertainty Sets". Joint work with Rui Gao and myself. August 2019, receive new NSF Grant "Sequential detection and prediction for solar situation awareness in power networks". Co-PIs: Andy Sun and Pascal Van Hentenryck. August 2019, talk at SAMSI Deep Learning Workshop at Duke University. August 2019, co-organizing (with Xiaoming Huo) the Foundation of Data Science Summer School sponsored by the NSF TRIPODS Institutes at the Georgia Institute of Technology. Reports are here. July 2019, invited talk at European Meeting of Statisticians (EMS), Palermo, Italy. July 2019, paper presented at ISIT 2019, entitled "Asynchronous multi-sensor change-point detection for seismic tremors". Joint work with L. Xie, Y. Xie, and G. V. Moustakides. June 2019, posted new papers "Dynamic pricing in an evolving and unknown marketplace" with Y. Chen and Z. Wen, and "An approximation algorithm for training One-Node ReLU neural networks" with S. Dey and G. Wang, and "Reinforcement learning of spatio-temporal point processes" with S. Zhu, and S. Li. June 2019, invited talk at EcoStat Conference in Taiwan. June 2019, give a session at "Misson Poissible" Summer Camp for middle school students. June 2019, talk at the 2nd Symposium on Machine Learning in Science and Engineering (MLSE), held at Georgia Tech, and give a short course at the concurrent "Introduction to Bayesian statistics''. May 2019, Rui Zhang received the Best Student Paper Award at the ICASSP Conference for his paper with Alexander Shapiro and me, entitled "Statistical rank selection for incomplete low-rank matrices". Congratulations Rui! May 2019, I co-organize Workshop on Decision Analytics for Dynamic Policing, in Arlington, Virginia, May 9-10, 2019. The workshop is sponsored by National Science Foundation CMMI-1917624. May 2019, I give a seminar at Princeton University, Electrical Engineering Department, talk at the ICASSP Conference in Brighton UK, and at the TRIPODS 2nd Southwest Summer Conference in Oracle, Arizona. May 2019, Liyan Xie received Grant Grant Award from the ISIT 2019 Conference, and she will present our paper ``Asynchronous multi-sensor change-point detection for seismic tremors.'', joint work with George Moutakides. April 2019, I give a seminar at Duke Statistics Department. March 2019, invited talk at the BIRS Workshop on Mathematical Criminology and Security, in Banff, Alberta, Canada. March 2019, invited talk at 14th Workshop on Stochastic Models, Statistics and their Application (SMSA), at TU Dresden, Germany. Talk about Distributed change detection based on average consensus, joint work with Q. Liu, Rui Zhang, Feb. 2019, give a seminar at UT Austin on "Uncerainty quantification and active sampling for low-rank matrices". Feb. 2019, give a talk at ITA workshop. Dec. 2018, a paper accepted by AISTATS 2018: "Nearly optimal adaptive procedure for piecewise-stationary bandit: A change-point detection approach." Joint work with Y. Cao, Z. Wen, and B. Kveton. Nov. 2018, Shuang Li is a Finalist in the 2018 INFORMS QSR Best Student Paper Competition. She is also a Finalist in the 2018 INFORMS Social Media Analytics Best Student Paper Competition. Congratulations Shuang! Oct. 2018, new grant approved by Strategic Environmental Research and Development Program (SERDP): "Predictive coating condition model for advanced asset management". Duration 7/2019-6/2021. Thank you SERDP! Oct. 2018, a paper is accepted by IEEE Transactions on Signal Processing: "Matrix completion with deterministic pattern - a geometric perspective". A. Shapiro, Y. Xie, and R. Zhang. Sept. 2018, two papers accepted by NeurIPS 2018 for Spotlight Presentation (top 3.5%): "Robust hypothesis testing using Wasserstein uncertainty sets", with R. Gao, L. Xie, and H. Xu, and "Learning temporal point processes via reinforcement learning", with S. Li, S. Xiao, S. Zhu, N. Du, and L. Song. Aug. 2018, receive new grants from National Science Foundation (NSF) and the Atlanta Police Foundation (APF). Thank you NSF, and APF! July 2018, give a seminar at Kyoto University, and talk at Discrete Optimization and Machine Learning Workshop in Tokyo, Japan. June 2018, invited talk at Mostly OM Workshop at Tsinghua University, Beijing, China; invited talk at SPA 2018 (40th Conference on Stochastic Processes and their Applications) in Gothenburg, Sweden; and invited talk at IWAP 2018 (9th International workshop on Applied Probability) in Budapest, Hungary. May 2018, paper ``Maximum entropy low-rank matrix recovery'' with S. Mak accepted by IEEE Journal of Selected Topics in Signal Processing. Conference version of the paper was accepted by ISIT 2018. April 2018, Shixiang Zhu received the Best Poster Award at the Workshop on Forecasting from Complexity. April 2018, Yang Cao has successfully defended his Ph.D. thesis. Congratulations Dr. Cao! April 2018, talk at IMA Program, Workshop on Forecasting from Complexity, at University of Minnesota, Twin Cities. March 13 2018, seminar at the University of Washington, Department of Statistics. March 2018, talk at the Smart Cities Connect Conference and Expo about our Smart 50 Award project. March 2018, talk at CISS workshop, Princeton University. March 2018, give a seminar at Stanford University, ISL/IT seminar: "Robust sequential change-point detection". Feb. 2018, submitted a new paper "Matrix completion with deterministic pattern - a geometric perspective". Joint work with A. Shapiro and R. Zhang. Feb. 2018, talk at ITA 2018. Feb. 2018, attend NSF workshop on "Real-time learning and decision making in dynamical systems." Feb. 2018, paper accepted by EURASIP Journal on Advances in Signal Processing. "On the effect of model mismatch for sequential Info-Greedy Sensing". Joint work with R. Song and S. Pokutta. Jan. 2018, our crime data analytics project won the "2018 Smart 50 Award" at the Smart Cities Connect Conference & Expo. The project is funded by the Atlanta Police Foundation and a collaboration with the Atlanta Police Department. Congratulations Shixiang and Shuang, who did most of the work! Jan. 2018, our paper "Sequential change-point detection via online convex optimization" was accepted by Entropy, Special Issue on "Information Theory in Machine Learning and Data Science". Joint work with Y. Cao, L. Xie and H. Xu. A preliminary conference version was accepted by AISTATS 2018: "On near optimality of one-sample update for sequential joint detection and estimation". Dec. 2017, our paper appeared in Electronic Journal of Statistics: "Change detection via affine and quadratic detectors". Joint work with V. Guigues, A. Juditsky, A. Nemirovski, and Y. Cao. -->Dec. 2017, present our paper at CAMSAP conference: "Sequential detection of low-rank changes using extreme eigenvalues" with L. Xie. Oct. 2017. Junzhuo Chen was selected as one of the finalists for the 2017 INFORMS QSR best student paper competition for our paper " Oct. 2017. Seminar at School of Mathematics, Georgia Tech. Oct. 2017. Talk at Georgia Statistics Day at Emory University. Oct. 2017. Invited talk at Allerton conference. Sept. 2017. Demonstrate our system for crime incidents correlation detection (our poster and video demo) at the "Experience the Smart City" event held by the City of Atlanta. Sept. 2017. Present the Algorithm for Threast Detection Workshop. Aug. 2017. Tutorial at 2017 Summer School on "Statistical Learning for Big Data", Shenzhen, China. Aug. 2017. Present at DDDAS Workshop, Cambridge, MA. July 2017. Post new papers: "Uncertainty quantification and design for noisy matrix completion - a unified framework" with S. Mak, "On near optimality of one-sample update for sequential joint detection and estimation" with Y. Cao, L. Xie and H. Xu, " June 2017. Give talks at IWSM and ISIT. June 2017. Offer a session "How computers detect human faces" for Georgia Tech, ISyE Misson Poissble program, an summer outreach program for high school students. March 2017. Guest speaker at Atlanta Science Festival. March 2017. Seminar at Georgia Tech Center for Machine Learning. March 2017. I am co-organizing a special session "Sequential methods for high-dimensional structured signals" at ICASSP 2017 (co-organizer: V. V. Veeravalli). Feb. 2017. Present at ITA at University of San Diego. Feb. 2017. Seminar at University of Michigan, Ann Arbor, MIDAS, and attended the Women in Data Science Workshop. Jan. 2017, papers submitted "Change detection via affine and quadratic detectors" (arXived) with V. Guigues, A. Juditsky, A. Nemirovski, and Y. Cao, and "Robust sequential change-point detection by convex optimization" with Y. Cao. Dec. 2016, our paper "Detecting weak changes in dynamic events over networks" (with Shuang Li, Mehrdad Farajtabar, and Le Song) accepted by IEEE Transactions on Signal and Information Processing over Networks. Nov. 2016, received Georgia Tech Serve-Learn-Sustain Fellowship for Smart Cities and Connected Communities. Oct. 2016, receive the Georgia Tech 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). June 2016, I gave an invited talk at ICSA 2016, and an invited talk at COMPSAC 2016. 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. Oct. 2015, Yang Cao received the GA Statistics Day Conference 2015 Poster Presentation Award for his poster on Poisson matrix completion. Congratulations Yang! 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. Aug. 2015, our research on seismic imaging is featured in a special report on IEEE Signal Processing Magazine. I was included in a Georgia Tech Engineering School News article. 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). April 2015, "Sequential information guided sensing", joint work with R. Song and S. Pokutta (conference version accepted at ISIT 2015), and "Poisson matrix recovery and completion", joint work with Y. Cao (conference version accepted at ISIT 2015). March 2015, two papers accepted by IEEE ISIT: Sequential sensing with model mismatch, joint work with Ruiyang Song and Sebastian Pokutta, and Poisson matrix completion, joint work with Y. Cao. Feb. 2015, attend Algorithms, Radio, and Coding Workshop in honor of Prof. Robert Calderbank's 60th birthday, and ITA 2015. As a tradition of ITA, here's trailer of my talk. Dec. 3, 2014: present at GlobalSIP 2014, Fast algorithm for low-rank matrix recovery in Poisson noise, joint work with Y. Cao. Nov. 8, 2014: present at INFORMS 2014, DMA Workshop, "Sequential changepoint approach for online community detection" (slides, and paper in revision for IEEE Signal Processing Letter, arXiv version). Oct. 2014: Paper "Sequential changepoint approach for online community detection" with David Marangoni-Simonsen accepted by IEEE Signal Processing Letter. Paper "PMU based detection of imbalance in three-phase power systems", with Tirza Routtenberg, Rebecca M. Willett and Lang Tong, accepted by IEEE Trans. Power Systems. October 2. 2014: present at Annual Allerton Conference, "Info-Greedy Sequential Adaptive Compressed Sensing" (slides). Our proposal to NSF CyberSEES Program was funded: "CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability" ($1.2M for 1/2015-12/2019). In collaboration with WenZhan Song (Georgia State University) and Fan-Chi Lin (University of Utah). Paper "Info-Greedy sequential adaptive compressed sensing" with Gabor Braun and Sebastian Pokutta submitted to an IEEE Journal and arXived, June 2014. The conference version of the paper is accepted by 52nd Annual Allerton Conference on Communication, Control, and Computing 2014. Being selected for the 2014 Class of 1969 Teaching Fellow Program of Georgia Tech. Paper "Sequential changepoint approach for online community detection" with David Marangoni-Simonsen accepted by 2014 INFORMS Workshop on Data Mining and Analytics and arXived, June 2014. Paper "Low-rank matrix recovery in Poisson noise'' with Yang Cao submitted to 2014 GlobalSIP-Information Processing for Big Data and arXived, July 2014. Co-organizing MOPTA 2014 special session on ``information theory and optimization''. Co-organizing Information Processing for Big Data symposium, the 2nd IEEE Global Conference on Signal and Information Processing, in Dec 3-5 2014, Atlanta, Georgia, USA. Paper entitled "On group coherence of frames", joint with Andrew Thompson and Robert Calderbank, was accepted by Applied and Computational Harmonic Analysis, March. 2014. Proposal "Sequential blood pressure changepoint detection" was funded by the George Family Foundation, Feb. 2014. Gave a seminar at the Statistics Seminar at University of Georgia in Sept. 2013, and at Clemson University in Oct. 2013. Presented "Detecting change-points in signal correlation'' at IWSM 2013 held at UGA, in July. Our paper "Online logistic regression on manifolds'' was presented as ICASSP 2013, May. Visited and presented at ISyE Department, Georgia Tech, 3/11-3/13, and ECE Department, University of Maryland, College Park, 3/28-3/29. Gave a seminar at ECE Department, Ohio State University, 3/22. I presented at ITA information theory workshop (Feb. 10 - 16) in San Diego. My talk is entitled "Sequential high-dimensional change-point detection". Here is a "trailer". |
: An efficient score statistic for spatial-temporal surveillance