{"id":5,"date":"2012-08-24T00:58:28","date_gmt":"2012-08-24T00:58:28","guid":{"rendered":"http:\/\/yingzhenli.net\/wp\/?page_id=4"},"modified":"2026-10-27T11:03:34","modified_gmt":"2026-10-27T11:03:34","slug":"welcome","status":"publish","type":"page","link":"https:\/\/yingzhenli.net\/home\/en\/","title":{"rendered":"Welcome!"},"content":{"rendered":"<div style=\"float: left; width: 100%;\">\n<p style=\"text-align: left;\">Hi there! My name is <a href=\"http:\/\/yingzhenli.net\/home\/en\/?page_id=597\">Yingzhen (\u6620\u771f)<\/a> and I hope you enjoy this website. \ud83d\ude00<\/p>\n<p>My research aims to build reliable machine learning systems which can generalise to unseen environments. Two of my current research focuses are:<\/p>\n<ul>\n<li>Probabilistic ML principles\/algorithms for frontier deep learning models;<\/li>\n<li>Scalable structural representation learning with deep generative models.<\/li>\n<\/ul>\n<p>I'm also broadly interested in ML topics such as uncertainty quantification, sequential &amp; dynamic data modelling, causal discovery, adaptive ML methods, decision-making algorithms, transfer\/meta-learning, information theory and optimisation. See the <a href=\"http:\/\/yingzhenli.net\/home\/en\/?page_id=1172\">info for prospective students\/postdocs<\/a>.<\/p>\n<p>Currently I hold two Associate Professor positions at:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.imperial.ac.uk\/computing\">Department of Computing<\/a> at <a href=\"https:\/\/www.imperial.ac.uk\/\">Imperial College London<\/a>, UK<\/li>\n<li><a href=\"https:\/\/www.ntu.edu.sg\/computing\">CCDS<\/a> at <a href=\"https:\/\/www.ntu.edu.sg\">Nanyang Technological University<\/a>, Singapore<\/li>\n<\/ul>\n<p>In Mar 2024 - Feb 2026 I was also a <a href=\"https:\/\/www.turing.ac.uk\/news\/alan-turing-institute-welcomes-over-50-new-turing-fellows-tackle-societal-challenges?utm_source=Twitter&amp;utm_medium=Text_link&amp;utm_campaign=Turing-News_2024-Turing-Fellows-cohort\" target=\"_blank\" rel=\"noopener noreferrer\">Turing Fellow<\/a> at <a href=\"https:\/\/www.turing.ac.uk\" target=\"_blank\" rel=\"noopener noreferrer\">The Alan Turing Institute<\/a>, UK. Before coming back to academia, I've spent 2.5 wonderful years as a senior researcher at <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-cambridge\/\">Microsoft Research Cambridge<\/a>, UK.&nbsp;I read my PhD with&nbsp;<a href=\"http:\/\/cbl.eng.cam.ac.uk\/Public\/Turner\/WebHome\" target=\"_blank\" rel=\"noopener noreferrer\">Prof. Richard E. Turner<\/a> in <a href=\"http:\/\/mlg.eng.cam.ac.uk\" target=\"_blank\" rel=\"noopener noreferrer\">machine learning<\/a>&nbsp;at the&nbsp;<a href=\"http:\/\/www.cam.ac.uk\" target=\"_blank\" rel=\"noopener noreferrer\">University of Cambridge<\/a>, UK, where I was also a member of <a href=\"http:\/\/www.darwin.cam.ac.uk\/\" target=\"_blank\" rel=\"noopener noreferrer\">Darwin College<\/a>.<\/p>\n<p>My&nbsp;<a href=\"http:\/\/yingzhenli.net\/home\/pdf\/phd_thesis.pdf\">PhD thesis<\/a> is about approximate inference. If you want to know more about approximate inference &amp; probabilistic ML, check out the following materials:<\/p>\n<ul>\n<li>NeurIPS 2020 tutorial on \"<a href=\"http:\/\/yingzhenli.net\/home\/en\/?page_id=1341\" rel=\"noopener noreferrer\">Advances in Approximate Inference<\/a>\" (with <a href=\"https:\/\/cheng-zhang.org\/\">Cheng Zhang<\/a>)<\/li>\n<li>ProbAI 2022 tutorial on \"<a href=\"http:\/\/yingzhenli.net\/home\/en\/?page_id=1552\">Introduction to Bayesian Neural Networks<\/a>\"<\/li>\n<li>GeMSS 2023 tutorial on \"<a href=\"http:\/\/yingzhenli.net\/home\/pdf\/gemss2023_sequence_dgm.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Sequential Generative Models<\/a>\"<\/li>\n<li>AAAI 2023 new faculty highlight \"<a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/26813\" target=\"_blank\" rel=\"noopener noreferrer\">Robust and Adaptive Deep Learning via Bayesian Principles<\/a>\" [<a href=\"https:\/\/www.youtube.com\/watch?v=mGK3Cu23EKI\" target=\"_blank\" rel=\"noopener noreferrer\">talk video<\/a>]<\/li>\n<li>UAI 2025 tutorial on \"<a href=\"http:\/\/yingzhenli.net\/home\/pdf\/uai2025_approx_infer_tutorial.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Modern Approximate Inference: Variational Methods and Beyond<\/a>\" (with <a href=\"http:\/\/www.dianacai.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Diana Cai<\/a>)<\/li>\n<li>An incomplete list of <a href=\"http:\/\/yingzhenli.net\/home\/en\/approximateinference\">topics in approximate inference (still updating)<\/a><\/li>\n<\/ul>\n<div class=\"entry-content\">\n<p>I'm also honoured yet humbled to help (and have helped) organise flagship research conferences and workshops in probabilistic ML, including <a href=\"http:\/\/approximateinference.org\" target=\"_blank\" rel=\"noopener noreferrer\">AABI<\/a> and <a href=\"https:\/\/aistats.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">AISTATS<\/a>.<\/p>\n<p>\u2709\ufe0f firstname.lastname [at] <br>imperial [dot] ac [dot] uk (Imperial)<br>ntu [dot] edu [dot] sg (NTU)<\/p>\n<p><a href=\"https:\/\/twitter.com\/liyzhen2\">@liyzhen2<\/a><\/p>\n<\/div>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hi there! My name is Yingzhen (\u6620\u771f) and I hope you enjoy this website. \ud83d\ude00 My research aims to build reliable machine learning systems which can generalise to unseen environments. Two of my current research focuses are: Probabilistic ML principles\/algorithms for frontier deep learning models; Scalable structural representation learning with deep generative models. I'm also ... <span class=\"more\"><a class=\"more-link\" href=\"https:\/\/yingzhenli.net\/home\/en\/\">[Read more...]<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["entry","page","publish","author-admin","post-5"],"_links":{"self":[{"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=\/wp\/v2\/pages\/5","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5"}],"version-history":[{"count":172,"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":1842,"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=\/wp\/v2\/pages\/5\/revisions\/1842"}],"wp:attachment":[{"href":"https:\/\/yingzhenli.net\/home\/en\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}