{"id":5,"date":"2017-12-06T14:11:58","date_gmt":"2017-12-06T14:11:58","guid":{"rendered":"http:\/\/sites.rutgers.edu\/professor-example\/?page_id=5"},"modified":"2019-08-31T19:42:19","modified_gmt":"2019-08-31T19:42:19","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/linjun-zhang\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<h2>Interests<\/h2>\n<p>High-Dimensional Statistics, Statistical Machine Learning, Data Privacy.<\/p>\n<h2>Technical Reports<\/h2>\n<p>(* indicates alphabetical ordering authorship)<\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>* T. Tony Cai, Yichen Wang and Linjun Zhang. (2018)<br \/>\n<strong><a href=\"https:\/\/arxiv.org\/abs\/1902.04495\">The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy<\/a><\/strong>.<br \/>\nSubmitted.<\/li>\n<li>* T. Tony Cai, and Linjun Zhang. (2018)<br \/>\n<a href=\"http:\/\/www-stat.wharton.upenn.edu\/~tcai\/paper\/SQDA.pdf\"><strong>A Convex Optimization Approach to High-dimensional Sparse Quadratic Discriminant Analysis<\/strong>.<\/a><br \/>\nSubmitted.<\/li>\n<li>Xianli Zeng, Yingcun Xia, and Linjun Zhang. (2018)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1907.01670\"><strong>Double Cross Validation for The Number of Factors in Orthogonal Factor Models <\/strong>.<\/a><br \/>\nSubmitted.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Publications<\/h2>\n<p>(* indicates alphabetical ordering authorship)<\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>* T. Tony Cai, Jing Ma and Linjun Zhang. (2018)<br \/>\n<strong><a href=\"https:\/\/www.e-publications.org\/ims\/submission\/AOS\/user\/submissionFile\/33647?confirm=5d3c4078\">CHIME: Clustering of High-Dimensional Gaussian Mixtures with EM Algorithm and Its Optimality<\/a><\/strong>.<br \/>\nto appear in <i>Annals of Statistics <\/i><\/li>\n<li>* T. Tony Cai, Linjun Zhang and Harrison H. Zhou. (2017)<br \/>\n<strong><a href=\"http:\/\/www3.stat.sinica.edu.tw\/preprint\/SS-2017-0099_Preprint.pdf\">Adaptive Functional Linear Regression<\/a><\/strong>.<br \/>\nto appear in <i>Statistica Sinica <\/i><\/li>\n<li>* T. Tony Cai, and Linjun Zhang. (2017)<br \/>\n<strong><a href=\"http:\/\/www3.stat.sinica.edu.tw\/sstest\/J28N2\/J28N219\/J28N219.html\">High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference<\/a><\/strong>.<br \/>\n<i>Statistica Sinica<\/i>, 2018, Vol. 28, 963-993.<\/li>\n<li>* T. Tony Cai, and Linjun Zhang. (2016)<br \/>\n<strong><a href=\"https:\/\/arxiv.org\/pdf\/1602.05236.pdf\">Discussion: Important feature PCA for high dimensional clustering<\/a><\/strong>.<br \/>\n<i>Annals of Statistics<\/i>, 2016, Vol. 44, No. 6, 2372-2381.<\/li>\n<li>Linjun Zhang, Michael Small, and Kevin Judd. (2015)<br \/>\n<strong><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378437115003362\">Exactly scale-free scale-free networks<\/a><\/strong>.<br \/>\n<i>Physica A<\/i>, 433: 182-197.<\/li>\n<li>Michael Small, Lvlin Hou, and Linjun Zhang. (2014)<br \/>\n<strong><a href=\"https:\/\/academic.oup.com\/nsr\/article\/1\/3\/357\/2460737\">Random complex networks<\/a><\/strong>.<br \/>\n<i>The IEEE International Symposium on Circuits and Systems (ISCAS) 2014 <\/i>invited paper.<\/li>\n<li>Michael Small, Kevin Judd, L. Zhang. (2014)<br \/>\n<strong><a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=6865372&amp;tag=1\">How is that complex network complex?<\/a><\/strong><br \/>\n<i>National Science Review <\/i>, 1(3): 357-367.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Interests High-Dimensional Statistics, Statistical Machine Learning, Data Privacy. Technical Reports (* indicates alphabetical ordering authorship) * T. Tony Cai, Yichen Wang and Linjun Zhang. (2018) The Cost of Privacy: Optimal &hellip; <a href=\"https:\/\/sites.rutgers.edu\/linjun-zhang\/research\/\" class=\"\">Read More<\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-custom.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Research - Linjun Zhang<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/linjun-zhang\/research\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research - Linjun Zhang\" \/>\n<meta property=\"og:description\" content=\"Interests High-Dimensional Statistics, Statistical Machine Learning, Data Privacy. Technical Reports (* indicates alphabetical ordering authorship) * T. Tony Cai, Yichen Wang and Linjun Zhang. 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