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major refactoring
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XingLLiu committed Feb 14, 2023
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2 changes: 1 addition & 1 deletion _config.yml
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Expand Up @@ -87,7 +87,7 @@ author:
employer :
pubmed : #
googlescholar : "https://scholar.google.com/citations?user=_s0VPfUAAAAJ&hl=en"
# email : "xl6116@ic.ac.uk"
email : "[firstname].[lastname]16 [at] imperial.ac.uk"
researchgate : # example: "https://www.researchgate.net/profile/yourprofile"
uri :
bitbucket :
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---
layout: archive
title: "About Me"
permalink: /about_me/
author_profile: true
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---
layout: archive
title: "Contact"
permalink: /contact/
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---
layout: archive
title: "Imperial Maths Competition"
permalink: /imperial_maths_competition/
author_profile: true
---

## Imperial Maths Competition
I am a co-founder of the [Imperial Maths Competition](https://icmathscomp.org/index.html) (IMC). This is a student-led Maths challenge co-hosted by the [Imperial College MathSoc](https://www.union.ic.ac.uk/rcsu/mathsoc/about19-20) and Maths societies in many other UK universities. Founded in Autumn 2017, IMC aims to provide a platform for all UK undergraduates/Master's students with an opportunity to enjoy Olympiad-like Mathematics. The 2019-2020 Round One has finished and the solution is available [here](https://icmathscomp.org/round-one-solutions.html). For more information about this competition, please visit our [website](https://icmathscomp.org/index.html).

12 changes: 6 additions & 6 deletions _pages/about.md → _pages/main.md
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---
permalink: /
title: "Welcome to Xing's website."
title: ""
excerpt: "About me"
author_profile: true
redirect_from:
- /about/
- /about.html
- /main/
- /main.html
---

I am a PhD student in Statistics at Imperial College London. I joined the [EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford](https://statml.io/) in 2020 under the supervision of Professor [Axel Gandy](https://wwwf.imperial.ac.uk/~agandy/) and Dr [Andrew Duncan](http://wwwf.imperial.ac.uk/~aduncan/). My research interests lie in computational Bayesian statistics and approximate inference.

## Education
:mortar_board: PhD in Modern Statistics and Statistical Machine Learning, 2020-2024, <span style="color:grey">Imperial College London</span> \
:mortar_board: MASt (Part III) in Mathematical Statistics, 2019-2020, <span style="color:grey">University of Cambridge</span> \
:mortar_board: BSc in Mathematics with Statistics, 2016-2019, <span style="color:grey">Imperial College London</span>
:mortar_board: PhD in Modern Statistics and Statistical Machine Learning, 2020-2024, <span class="grey">Imperial College London</span> \
:mortar_board: MASt (Part III) in Mathematical Statistics, 2019-2020, <span class="grey">University of Cambridge</span> \
:mortar_board: BSc in Mathematics with Statistics, 2016-2019, <span class="grey">Imperial College London</span>


## Resources
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---
layout: archive
title: ""
permalink: /research/
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{% endfor %} -->


<h1>Publication</h1>
Huang, K. H., <b>Liu, X.</b>, Duncan, A. B., Gandy, A. (2023). <i>A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing</i>. arXiv preprint arXiv:2302.05686.
<h2>Publication</h2>
Huang, K. H., <b>Liu, X.</b>, Duncan, A. B., Gandy, A. (2023).
<text class="pub-title">A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing</text>. arXiv preprint arXiv:2302.05686.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://arxiv.org/abs/2302.05686','_blank')">Preprint</button>
<br>
<br>

<b>Liu, X.</b>, Zhu, H., Ton, J-F., Wynne, G., Duncan, A. B. (2022). <i>Grassmann Stein Variational Gradient Descent</i>. AISTATS 2022.
<b>Liu, X.</b>, Zhu, H., Ton, J-F., Wynne, G., Duncan, A. B. (2022). <text class="pub-title">Grassmann Stein Variational Gradient Descent</text>. AISTATS 2022.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://proceedings.mlr.press/v151/liu22a.html','_blank')">Paper</button>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://docs.google.com/presentation/d/e/2PACX-1vTMmAQEaSB--eTTrg0xzZBdgdA3w530kw4ENg5Oh_a7YpCK4Gd28vc8tMPDMjarevyKjnNF4c1vEccG/pub?start=false&loop=false&delayms=3000','_blank')">Slides</button>
<br>
<br>

Zhu, H., <b>Liu, X.</b>, Kang, R., Shen, Z., Flaxman, S., Briol, F-X. (2020). <i>Bayesian probabilistic numerical integration with tree-based models</i>. Neural Information Processing Systems, 5837-5849.
Zhu, H., <b>Liu, X.</b>, Kang, R., Shen, Z., Flaxman, S., Briol, F-X. (2020). <text class="pub-title">Bayesian probabilistic numerical integration with tree-based models</text>. Neural Information Processing Systems, 5837-5849.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://proceedings.neurips.cc/paper/2020/hash/3fe94a002317b5f9259f82690aeea4cd-Abstract.html','_blank')">Paper</button>
<br>
<br>

<h1>Discussion and Workshop Papers</h1>
<b>Liu, X.</b>, Duncan, A. B., Gandy, A. (2022). <i>Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy</i>. NeurIPS 2022 Workshop on Score-Based Methods.
<h2>Discussion and Workshop Papers</h2>
<b>Liu, X.</b>, Duncan, A. B., Gandy, A. (2022). <text class="pub-title">Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy</text>. NeurIPS 2022 Workshop on Score-Based Methods.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://openreview.net/forum?id=iubaXtWi0Y3','_blank')">Paper</button>
<br>
<br>

Zhu, H., <b>Liu, X</b>., Caron, A., Manolopoulou, I. Flaxman, S., Briol, F-X. (2020). <i>Contributed Discussion of “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects”</i>. Bayesian Analysis, 15(3), 965-1056.
Zhu, H., <b>Liu, X</b>., Caron, A., Manolopoulou, I. Flaxman, S., Briol, F-X. (2020). <text class="pub-title">Contributed Discussion of “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects”</text>. Bayesian Analysis, 15(3), 965-1056.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://projecteuclid.org/euclid.ba/1580461461#abstract','_blank')">Journal (pp1032-1034)</button>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://fxbriol.github.io/pdfs/BART_contributed_discussion.pdf','_blank')">Paper</button>
<br>
<br>

<h1>Talks</h1>
<h2>Talks</h2>
14th Dec 2022, <i>Kernelized Stein Discrepancies and their applications in statistics and machine learning</i>, <b>Junior Stats Seminar</b> at Imperial College London.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('http://XingLLiu.github.io/files/ksd_ic_seminar.pdf','_blank')">Slides</button>
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<br>
<br>

<h1>Research Projects</h1>
<h2>Research Projects</h2>

<i>Approximate Bayesian Computation with Optimal Transport</i>. Part III Essay; supervised by Dr. Sergio Bacallado. 2020.
<text class="pub-title">Approximate Bayesian Computation with Optimal Transport</text>. Part III Essay; supervised by Dr. Sergio Bacallado. 2020.
<br>
<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('http://XingLLiu.github.io/files/Part_III_Essay_ABC_with_Optimal_Transport.pdf','_blank')">Paper</button>
<br>
<br>

<i>Predicting Sepsis at Triage</i>. Fields Undergraduate Summer Research Program; supervised by Dr. Anna Goldenberg and Erik Drysdale. 2019
<text class="pub-title">Predicting Sepsis at Triage</text>. Fields Undergraduate Summer Research Program; supervised by Dr. Anna Goldenberg and Erik Drysdale. 2019
<br>
<br>
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4 changes: 2 additions & 2 deletions _pages/sitemap.md
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{% include archive-single.html %}
{% endfor %}

<h2>Posts</h2>
<!-- <h2>Posts</h2>
{% for post in site.posts %}
{% include archive-single.html %}
{% endfor %}
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{% include archive-single.html %}
{% endunless %}
{% endfor %}
{% endfor %}
{% endfor %} -->
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14 changes: 11 additions & 3 deletions _sass/_page.scss
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border-bottom: 1px solid $border-color;
}

/* t: normal text */
p, li, dl {
// font-size: 1em;
font-size: $type-size-7;
font-size: 0.9em;
// font-size: $type-size-6;
}

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}

a {
text-decoration: underline;
// text-decoration: underline;

&:hover {
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font-size: $type-size-6;
text-transform: uppercase;
}

.grey {
color: $gray;
}
.pub-title {
font-weight: bold;
}
6 changes: 5 additions & 1 deletion _sass/_reset.scss
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}

a {
text-decoration: none;
color: $link-color;
}

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/* Remove outline from links */

a:hover,
a:hover {
text-decoration: underline;
color: $link-color-hover;
}
a:active {
outline: 0;
}
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/*
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$success-color : #62c462;
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$danger-color : #ee5f5b;
$info-color : #178db0;
$info-color : #107998;

/* brands */
$behance-color : #1769FF;
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<div id="main" role="main">


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</div>


<div class="archive">
<article class="page" itemscope itemtype="http://schema.org/CreativeWork">
<meta itemprop="headline" content="About Me">


<h1 class="page__title">About Me</h1>

<p><a href="http://XingLLiu.github.io/files/CV_Xing_LIU.pdf">Short CV</a></p>

<div class="page__inner-wrap">

<header>
<h1 class="page__title" itemprop="headline">About Me
</h1>








</header>


<section class="page__content" itemprop="text">
<p><a href="http://XingLLiu.github.io/files/CV_Xing_LIU.pdf">Short CV</a></p>

<h2 id="short-bio">Short Bio</h2>

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<p>Besides statistics and voluntary works, I enjoy playing basketball and hiking.</p>

</div>

</section>

<footer class="page__meta">






</footer>






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