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---
layout: default
title: "Tianrong Zhang | 张天容"
header-img: "img/tag-bg.jpg"
---
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<!-- Page Header: Image banner and text on it-->
<header class="intro-header" style="background-image: url('{{ site.baseurl }}/{% if page.header-img %}{{ page.header-img }}{% else %}{{ site.header-img }}{% endif %}')">
<div class="container">
<div class="row">
<div class="col-lg-8 col-lg-offset-2 col-md-10 col-md-offset-1">
<div class="site-heading" id="tag-heading">
<h1 id="profile_title" style="font-size: 50px;"></h1>
<!--- Subheading unused for now
<span class="subheading">{{ page.description }}</span>
!-->
</div>
</div>
</div>
</div>
</header>
<!--- The container of content body -->
<div class="c_container">
<div class="row" id="profile_div" style="margin-left: auto; margin-right: auto;">
<!--- This is the language selection box -->
<!-- Animation handler is defined at the end of the file -->
<div class="lan-changer" style="display:none;">
Language 语言:
<select class="sel-lang" onchange= "onLanChange(this.options[this.options.selectedIndex].value)" style="box-shadow: 0 5px 25px rgba(0, 0, 0, 0.2); -webkit-appearance: button; appearance: button; outline: none;">
<option value="0"> Chinese 中文 </option>
<option value="1" selected> English 英文 </option>
</select>
</div>
<!-- Chinese Version -->
<div class="zh post-container">
<section id="about-me">
<div class="section-title" style="width: 20%;">
<img src="../img/profile-img.JPG" style="width: 90%; margin: 0em 0em 0em 0em; display: none;" id="img_zh" >
<span style="display: none;" id="img-replace">简述</span>
</div>
<div class="section-content">
<div class="block">
<div class="block-content">
<p>我是张天容，密西根大学计算机科学硕士在读，毕业于 <a href="https://cse.engin.umich.edu/">密西根大学工程学院</a> and <a href="http://umji.sjtu.edu.cn/">上海交通大学密西根学院</a>. </p>
<p>目前我主要希望研究自然语言处理相关领域，尤其是 language grounding。 该领域还包括了 situated language，探究语言的产生等方向。</p>
</div>
</div>
</div>
</section>
<!-- Section about higher education history -->
<section id="education">
<div class="section-title">
教育经历
</div>
<div class="section-content">
<div class="block">
<div class="block-title">
密西根大学 - 安娜堡分校 - 硕士
</div>
<div class="block-subtitle">
2020/09 至今 | 计算机科学
</div>
<div class="block-content">
<strong>GPA</strong>: 4.00/4.00<br>
<strong>重要课程</strong>:<br>
<ul class="course-list">
<li>信息论</li>
<li>应用GPU编程</li>
<li>近似算法</li>
<li>计算机视觉导论</li>
</ul>
</div>
</div>
<div class="block">
<div class="block-title">
密西根大学 - 安娜堡分校 - 学士
</div>
<div class="block-subtitle">
2018/09 ~ 2020/04 | 计算机科学
</div>
<div class="block-content">
<strong>GPA</strong>: 3.83/4.00<br>
<strong>重要课程</strong>:<br>
<ul class="course-list">
<li>编码与信息论</li>
<li>贝叶斯数据分析</li>
<li>数据库管理系统</li>
<li>算法导论</li>
<li>机器学习导论</li>
<li>计算机视觉中的深度学习</li>
<li>自然语言处理</li>
<li>实体人工智能中的场所相关语言学习</li>
<li>编译器原理</li>
<li>计算机架构</li>
</ul>
<strong>荣誉</strong>:
<ul>
<li>University Honors</li>
<li>Dean's List</li>
</ul>
</div>
</div>
<div class="block">
<div class="block-title">
上海交通大学 - 学士
</div>
<div class="block-subtitle">
2016/09 ~ 2020/08 | 电气与计算机工程
</div>
<div class="block-content">
<strong>GPA</strong>: 3.01/4.00<br>
<strong>重要课程</strong>:<br>
<ul class="course-list">
<li>现代物理</li>
<li>大数据处理</li>
</ul>
</div>
</div>
</div>
</section>
<section id="experience">
<div class="section-title">
研究经历
</div>
<div class="section-content">
<div class="block">
<div class="block-title">
EAGLe Lab, UMich
</div>
<div class="block-subtitle">
2019/09 至今 | 本科研究助理
</div>
<div class="block-content">
<p>Embodied Agent & Grounded LanguagE Laboratory (EAGLE) 是由 <a href="https://web.eecs.umich.edu/~chaijy/">Joyce Chai</a> 教授在密西根大学新成立的实验室。实验室主页还在建设中。实验室主要研究 language grounding 和实体 AI 相关的内容。目前正在寻找新奇尤其是与传统不同的研究课题。</p>
<div class="project-item-odd">
<p>
<p class='project-title'><strong>Evaluation and Interpretation of Fidelity in Current VLN models (Undergoing)</strong></p>
<p class='project-author'>Shane Storks, Tianrong Zhang, Qiucheng Wu, Brian Epstein</p>
Performances in Visual Language and Navigation (VLN) tasks are usually evaluated with success rate (SR) of reaching the target position. However, this measure diviates from the idea of instruction following because it lacks the supervision on the intermediate behaviours. Coverage weighted by Length Score (CLS) was introduced by Vihan Jain et. al in <a href="https://arxiv.org/pdf/1905.12255">2019</a> to account for this problem but it is a graph-based metrics that doesn't take into consideration the sementic level features of the environment. We propose a new metric that attends to both landmark and action sequencs induced by the pridicted path in hope of exposing more insightful interpretation of the current best=performing models.
</p>
</div>
<div style="height:10pt"> </div>
<div class="project-item-even">
<p>
<p class='project-title'><strong>Missing Step Inference in Procedural Text (2019)</strong></p>
<p class='project-author'>Tianrong Zhang, Tianchun Huang, Shujie Yang</p>
Procedural text roughly resembles step decomposition of the execution of a task. The ability to complete the missing part of the procedure manifests the model's ability to reason about the causality between steps. We propose utilizing BERT-GPT2 auto-encoding scheme to predicted the abridged part of the text. The model can take image/video/knowledge graph information as external source to which the lexicons in the text are grounded.
</p>
</div>
</div>
<div class="block">
<div class="block-title">
<a href="https://speechlab.sjtu.edu.cn/">Speech Lab, SJTU</a>
</div>
<div class="block-subtitle">
2019/05 - 2019/08 | 本科短期研究实习
</div>
<div class="block-content">
主要尝试将图神经网络添加进现有的 slot-tagger 中，希望得益于图中存在的统计信息，提升网络使用数据的效率，在冷启动时能够更加通过少量样本迅速地完成学习。
</div>
</div>
</div>
</section>
<section id="experience">
<div class="section-title">
教学经历
</div>
<div class="section-content">
<div class="block">
<div class="block-title">
批改作业
</div>
<div class="block-subtitle">
2020/09 ~ 2020/12 | 算法导论 | EECS 477 密西根大学
</div>
<div class="block">
<div class="block-title">
批改作业
</div>
<div class="block-subtitle">
2020/01 ~ 2020/04 | 数据库管理系统 | EECS 484 密西根大学
</div>
<div class="block-content">
<p>线上批改作业并给学生提供反馈，处理学生对阅卷的异议。</p>
</div>
</div>
</section>
<section id="contact-info">
<div class="section-title">
联系方式
</div>
<div class="section-content">
<div class="block">
<div class="block-content">
<div class="contact-item">
<i class="fa fa-phone-square aria-hidden=" true=""></i> +1 (734)-7735-275
</div>
<div class="contact-item">
<a href="mailto:[email protected]">
<i class="fa fa-envelope aria-hidden=" true=""></i> [email protected]
</a>
</div>
<div class="contact-item">
<a href="https://zhangtianrong.github.io/">
<i class="fa fa-globe aria-hidden=" true=""></i> 个人博客
</a>
</div>
<div class="contact-item">
<a href="https://github.com/zhangtianrong/">
<i class="fa fa-github aria-hidden=" true=""></i> GitHub 主页
</a>
</div>
</div>
</div>
</div>
</section>
</div>
<!-- English Version -->
<div class="en post-container">
<section id="about-me">
<div class="section-title" style="width: 20%;">
<img src="../img/profile-img.JPG" style="width: 90%; margin: 0em 0em 0em 0em; display: none;" id="img_en" >
<span style="display: none;" id="img-replace">Profile</span>
</div>
<div class="section-content">
<div class="block">
<div class="block-content">
<p>I am Tianrong Zhang, Master's student in Computer Science at University of Michigan. I received my bachelor degrees from <a href="https://cse.engin.umich.edu/">University of Michigan College of Engineering</a> and <a href="http://umji.sjtu.edu.cn/">Shanghai Jiao Tong University - University of Michigan Joint Institute</a>. </p>
<p>Currently, I am in pursuit of research career in Natural Language Processing, with a focus on language grounding. This area of research also include topics such as situated language and emergence of language.</p>
</div>
</div>
</div>
</section>
<!-- Section about higher education history -->
<section id="education">
<div class="section-title">
Education
</div>
<div class="section-content">
<div class="block">
<div class="block-title">
University of Michigan, Ann Arbor - Master
</div>
<div class="block-subtitle">
Sep 2020 ~ Now | Bachelor of Science in Engineering | Computer Science
</div>
<div class="block-content">
<strong>GPA</strong>: 4.00/4.00<br>
<strong>Major Courses</strong>:<br>
<ul class="course-list">
<li>Information Theory</li>
<li>Applied GPU Programming</li>
<li>Fundations of Computer Vision</li>
<li>Approximation Algorithms</li>
</ul>
</div>
</div>
<div class="block">
<div class="block-title">
University of Michigan, Ann Arbor - Bachelor
</div>
<div class="block-subtitle">
Sep 2018 ~ Apr 2020 | Bachelor of Science in Engineering | Computer Science
</div>
<div class="block-content">
<strong>GPA</strong>: 3.83/4.00<br>
<strong>Major Courses</strong>:<br>
<ul class="course-list">
<li>Coding Theory</li>
<li>Bayes Data Analysis</li>
<li>Database Management System</li>
<li>Introduction to Algorithms</li>
<li>Introduction to Machine Learning</li>
<li>Deep Learning for Vision</li>
<li>Natrual Language Processing</li>
<li>Situated Language for Embodied AI</li>
<li>Compiler Construction</li>
<li>Computer Architecture</li>
</ul>
<strong>Remarks</strong>:
<ul>
<li>University Honors</li>
<li>Dean's List</li>
</ul>
</div>
</div>
<div class="block">
<div class="block-title">
Shanghai Jiao Tong University - Bachelor
</div>
<div class="block-subtitle">
Sep 2016 ~ Aug 2020 | Bachelor of Engineering | Electrical and Computer Engineering
</div>
<div class="block-content">
<strong>GPA</strong>: 3.01/4.00<br>
<strong>Major Courses</strong>:<br>
<ul class="course-list">
<li>Modern Physics</li>
<li>Big Data Analysis</li>
</ul>
</div>
</div>
</div>
</section>
<section id="experience">
<div class="section-title">
Research Experience
</div>
<div class="section-content">
<div class="block">
<div class="block-title">
EAGLe Lab, UMich
</div>
<div class="block-subtitle">
Sep 2019 - Now | Undergraduate Research Assistant
</div>
<div class="block-content">
<p>Embodied Agent & Grounded LanguagE Laboratory (EAGLE) is a new founded laboratory led by <a href="https://web.eecs.umich.edu/~chaijy/">Prof. Joyce Chai</a> at University of Michigan. The lab webpage is still under construction. The lab focuses on language grounding as well as the embodiment of AIs and is now actively seeking for extraordinary and most importantly pattern-changing topics. As a founding member, I am engaged in forming research ideas and reviewing related works.</p>
<div class="project-item-odd">
<p>
<p class='project-title'><strong>Evaluation and Interpretation of Fidelity in Current VLN models (Undergoing)</strong></p>
<p class='project-author'>Shane Storks, Tianrong Zhang, Qiucheng Wu, Brian Epstein</p>
Performances in Visual Language and Navigation (VLN) tasks are usually evaluated with success rate (SR) of reaching the target position. However, this measure diviates from the idea of instruction following because it lacks the supervision on the intermediate behaviours. Coverage weighted by Length Score (CLS) was introduced by Vihan Jain et. al in <a href="https://arxiv.org/pdf/1905.12255">2019</a> to account for this problem but it is a graph-based metrics that doesn't take into consideration the sementic level features of the environment. We propose a new metric that attends to both landmark and action sequencs induced by the pridicted path in hope of exposing more insightful interpretation of the current best=performing models.
</p>
</div>
<div style="height:10pt"> </div>
<div class="project-item-even">
<p>
<p class='project-title'><strong>Missing Step Inference in Procedural Text (2019)</strong></p>
<p class='project-author'>Tianrong Zhang, Tianchun Huang, Shujie Yang</p>
Procedural text roughly resembles step decomposition of the execution of a task. The ability to complete the missing part of the procedure manifests the model's ability to reason about the causality between steps. We propose utilizing BERT-GPT2 auto-encoding scheme to predicted the abridged part of the text. The model can take image/video/knowledge graph information as external source to which the lexicons in the text are grounded.
</p>
</div>
</div>
</div>
<div class="block">
<div class="block-title">
<a href="https://speechlab.sjtu.edu.cn/">Speech Lab, SJTU</a>
</div>
<div class="block-subtitle">
May 2019 - August 2019 | Undergraduate Research Intern
</div>
<div class="block-content">
I worked on incorporating graph neural network into a slot tagger to make use of the statistical relation between slots and tags. This is supposed to improve data efficiency and cold-start performances. The project has been passed on succeeding membernces.
</div>
</div>
</div>
</section>
<section id="experience">
<div class="section-title">
Teaching Working
</div>
<div class="section-content">
<div class="block">
<div class="block-title">
Grader
</div>
<div class="block-subtitle">
Seq 2020 ~ Dec 2020 | Introduction to Algorithms | EECS 477 UMich
</div>
<div class="block-title">
Grader
</div>
<div class="block-subtitle">
Jan 2020 ~ Apr 2020 | Database Management System | EECS 484 UMich
</div>
<div class="block-content">
<p>Grade weekly assignments online, provide feedbacks and response to regrade requests.</p>
</div>
</div>
</section>
<section id="contact-info">
<div class="section-title">
Contact
</div>
<div class="section-content">
<div class="block">
<div class="block-content">
<div class="contact-item">
<i class="fa fa-phone-square aria-hidden=" true=""></i> +1 (734)-7735-275
</div>
<div class="contact-item">
<a href="mailto:[email protected]">
<i class="fa fa-envelope aria-hidden=" true=""></i> [email protected]
</a>
</div>
<div class="contact-item">
<a href="https://zhangtianrong.github.io/">
<i class="fa fa-globe aria-hidden=" true=""></i> Personal Blog
</a>
</div>
<div class="contact-item">
<a href="https://github.com/zhangtianrong/">
<i class="fa fa-github aria-hidden=" true=""></i> GitHub Profile
</a>
</div>
</div>
</div>
</div>
</section>
</div>
</div>
</div>
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if( navigator.userAgent.match(/Android/i)
|| navigator.userAgent.match(/webOS/i)
|| navigator.userAgent.match(/iPhone/i)
|| navigator.userAgent.match(/iPad/i)
|| navigator.userAgent.match(/iPod/i)
|| navigator.userAgent.match(/BlackBerry/i)
|| navigator.userAgent.match(/Windows Phone/i)
){ // In mobile mode, the language select box appears only when the page is scrolled to top
document.getElementById('profile_title').innerHTML = "Tianrong Zhang";
document.getElementById("img-replace").style.display = "inline";
document.getElementsByClassName("lan-changer")[0].style.display = "block";
document.getElementsByClassName("lan-changer")[0].style.height="30px";
document.addEventListener("scroll",function () {
var scrolllenth=document.getElementById("profile_title").getBoundingClientRect().top;
if (scrolllenth >= 70)
document.getElementsByClassName("lan-changer")[0].style.opacity=1;
else if (scrolllenth < 70 && scrolllenth > -100)
{
document.getElementsByClassName("lan-changer")[0].style.opacity=1+(scrolllenth-70)/170;
document.getElementsByClassName("lan-changer")[0].style.height="" + (30*(0.5-Math.cos(Math.PI*(1+(scrolllenth-70)/170))/2)) +"px";
}
else
document.getElementsByClassName("lan-changer")[0].style.opacity=0;})
}else{
// In desktop mode, the language select box appears only when hovered over
document.getElementById('profile_title').innerHTML = "Tianrong Zhang | 张天容";
document.getElementById("img_zh").style.display = "inline";
document.getElementById("img_en").style.display = "inline";
css = ".lan-changer { height:0px; opacity: 0; transition: height .45s ease-in-out, opacity 1s ease-in-out; -moz-transition: height .45s ease-in-out, opacity 1s ease-in-out; -webkit-transition: height .45s ease-in-out, opacity 1s ease-in-out;} .lan-changer:hover {opacity: 1; height: 30px}";
var style = document.createElement('style');
if (style.styleSheet) {
style.styleSheet.cssText = css;
} else {
style.appendChild(document.createTextNode(css));
}
document.getElementsByTagName('head')[0].appendChild(style);
document.getElementsByClassName("lan-changer")[0].style.display = "block";
}
};
</script>
<style>
html{
width:100%;
font-size:16px
}
body{
text-align:center;
width:100%;
-webkit-font-smoothing:antialiased;
font-size:1rem;
margin:0;
color:#495057;
background-color:#fff
}
p{
margin: 0em 0em 0.45em;
}
ul {
margin-bottom: 0em !important;
}
ul.course-list {
columns: 2;
-webkit-columns: 2;
-moz-columns: 2;
}
.project-item-odd {
background-color: #F3F3F3;
font-family: Consolas;
padding-left: 1em;
padding-right: 1em;
padding-top: 0.1em;
padding-bottom: 0.2em;
}
.project-item-even {
background-color: #F3F3F3;
font-family: Consolas;
padding-left: 1em;
padding-right: 1em;
padding-top: 0.1em;
padding-bottom: 0.2em;
}
.project-title {
margin: 0em 0em 0em;
}
.project-author {
margin-bottom: 0.5rem;
font-style: italic;
}
a{
text-decoration:none;
color:inherit
}
.block-title > a {
color: black !important;
}
a:hover{
text-decoration:underline
}
.c_container{
margin-left:auto;
margin-right:auto;
margin-bottom:1rem;
max-width:48rem;
text-align:left}
@media screen and (max-width: 48rem){
html{
font-size:12px
}
.c_container{
padding-left:.4rem;
padding-right:.4rem
}
}
header{
display:flex;
justify-content:space-between;
border-bottom:0.1rem solid #adb5bd;
padding-top:2.2rem;
padding-bottom:2.2rem
}
.title{
font-size:2.2rem
}
.sub-title{
font-size:1.2rem;
margin-top:.8rem
}
.contact{
font-size:1rem;
padding-top:1rem
}
.contact-item{
margin-top:.4rem
}
.contact-item:nth-child(1){
margin-top:0
}
.contact-item:a{
color:inherit;
text-decoration:none}
@media screen and (max-width: 48rem){
header{
display:block;
padding-bottom:1rem
}
.contact{
padding-top:1rem;
border-top:0.1rem solid #adb5bd
}
.contact-item{
padding-top:.2rem;
padding-left:.4rem
}
}
section{
display:flex;
padding-top:2.4rem;
padding-bottom:2.4rem;
padding-left:.2rem;
border-bottom:0.1rem solid #adb5bd;
hyphens:auto
}
.section-title{
font-size:1.75rem;
text-align:left;
min-width:10rem;
font-family: DFPRareBook, 'Times New Roman', Times, serif;
width: 20%;
}
.section-flex{
display:flex;
flex-wrap:wrap
}
.block{
margin-bottom:2rem
}
.block:last-child{
margin-bottom:0
}
.block-square{
width:18rem
}
.block-square:nth-last-child(2){
margin-bottom:0
}
.block-title{
font-size:1.2rem;
margin-bottom:0rem;
margin-top: 0.5rem;
font-weight:bold
}
.block-subtitle{
font-size:1rem;
margin-bottom:0.25rem;
color:#adb5bd;
font-family: 'Times New Roman', Times, serif;
font-style: italic;
}
.block-content{
font-size:0.9rem;
list-style: height 1.7em;
}
@media screen and (max-width: 48rem){
section{
display:block;
padding-top:2rem;
padding-bottom:2rem
}
.section-title{
margin-bottom:0rem;
width:100% !important;
text-align: center;
}
.section-flex{
display:block
}
.block-square:nth-last-child(2){margin-bottom:2rem}
#img_en {
display:none !important;
}
#img_zh {
display:none !important;
}
#img-replace {
display:inline !important;
}
}
</style>