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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Dr. Yanjun Qi</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="">
<meta name="author" content="Yanjun Qi" >
<link href="style.css" rel="stylesheet" type="text/css">
<link href="./bootstrap/css/bootstrap.css" rel="stylesheet">
<script src="./bootstrap/js/bootstrap.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
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</head>
<body>
<p><a name="top"></a></p>
<!-- Begin Container -->
<div class="container">
<!-- #BeginEditable "content" -->
<BR>
<h2>Welcome!</h2>
<table cellpadding="3" cellspacing="5">
<tr>
<td >
<img src="index_files/yanjun13.jpg" alt="Yanjun Qi's photo">
<p> I am Dr. Yanjun Qi. Please feel free to call me "Jane", "Yanjun", "Professor Qi" or "Dr. Qi". <br> My research focuses on two major research fronts: <br> </p>
<p> <ul>
<li>
1. Trustworthy deep learning, especially trustworthy NLP (<a href="https://qdata.github.io/qdata-page/categories/AItrust/" target="_blank" >Summary</a>);
</li>
<li>
2. Deep learning generalization (<a href="https://qdata.github.io/qdata-page/categories/AIself/" target="_blank" >Summary</a>);
</li>
<br>
In the past, I have also worked on
<li>
Stochastic relational graph learning (aka link prediction);
</li>
<li>
Deep learning tools for natural language processing and bio-medicine.
</li>
</ul>
</td>
</p>
<td >
<p>
<ul> See More in
<li><h3> [ <a href="papers.htm" >My Publications</a> ] </h3>
</li>
<li>
[ <a href="http://scholar.google.com/citations?user=eXKdSu0AAAAJ&hl=en"
target="_blank" >My GoogleScholar Page</a>]
</li>
<li>
[ <a href="https://www.linkedin.com/in/yanjun-jane-qi-0164ba4/"
target="_blank" >My Linkedin</a>]
</li>
<br>
<li>
[ <a href="https://github.com/QData/TextAttack/" target="_blank" >Our Python library TextAttack</a> ]
</li>
<li>
[ <a href="https://arxiv.org/search/?query=Qi%2C+Yanjun&searchtype=author&abstracts=show&order=-announced_date_first&size=50" target="_blank">My Arxiv authored Article Page</a>]
</li>
<li><h3>
[ <a href="https://qdata.github.io/deep2Read/posts/" target="_blank">My ReadingNotes on Deep Learning and LLM </a>] </h3>
</li>
<li>
[ <a href="#Teaching">My Past Teaching</a> ]
</li>
<li>
[ <a href="#qtalks"
target="_blank" >My Invited Talks</a>]
</li>
<li>
[ <a href="http://qiyanjun.github.io/books2read//tag/" target="_blank">My Book Reading Note</a> ]
</li>
<li>
[ <a href="#qdata" target="_blank">My UVa Team Info</a> ]
</li>
</ul>
</p>
</td>
</tr>
</table>
<!-- Begin Container -->
<div class="container">
<BR>
<!-- #BeginEditable "content" -->
<span class="style2">
<h2>My Short Bio</h2>
<table id="datatab2" summary="Table of datasets" border="1" >
<tbody>
<tr>
<h3><b>
<th>Year (until) </th>
<th> Information</th>
</b></h3>
</tr>
<tr><td>Present: </td> <td><p> I am a Senior Manager (starting as Principal Applied Scientist first) at Bedrock Science, Amazon Web Services (AWS).
</p></td> </tr>
<tr><td>Present: </td> <td><p> I am an associate professor of computer science without term (tenured) at the
<a href="http://www.cs.virginia.edu/">University
of Virginia (on leave since 2022)</a>.
</p></td> </tr>
<tr><td>2021: </td> <td><p> I was part of the Data and Technology Advancement (DATA) National Service Scholar Program: Data Scientists Advancing Biomedical Research in National Institute of Health, NIA.
</p></td> </tr>
<tr><td>2020 Spring: </td> <td><p> I took a Sabbatical in University of California, Berkeley, Visiting <a href="https://binyu.stat.berkeley.edu">Prof. Bin Yu's group</a>.
</p></td> </tr>
<tr><td>2019 Aug: </td> <td><p> I was an
assistant professor at the
<a
href="http://www.cs.virginia.edu/people/faculty/qi.html">
Department of Computer Science </a>, in
<a href="http://www.cs.virginia.edu/">University
of Virginia</a>. I have received the Young Investigator CAREER award from NSF (National Science Foundation, 2015-2020)!
</p></td> </tr>
<tr><td>2013 Aug: </td> <td> <p> I was a senior researcher @
<a href="http://www.nec-labs.com/research-departments/machine-learning/machine-learning-home">Machine Learning Department</a>,
<a href="http://www.nec-labs.com/">NEC Labs America</a>.</p>
</td> </tr>
<tr><td>2013 May: </td> <td><p>I was a research staff member @
<a href="http://www.nec-labs.com/research-departments/machine-learning/machine-learning-people">Machine Learning Department</a>,
<a href="http://www.nec-labs.com/">NEC Labs America</a>. <br>( I was very fortunate to have the chance to work closely with
<a href="www.jaseweston.com">Jason Weston </a>,
<a href="http://ronan.collobert.com">Ronan Collobert </a>,
<a href="http://leon.bottou.org/start">Leon Bottou</a>,
<a href="https://scholar.google.com/citations?user=vtegaJgAAAAJ">Vladimir Vapnik</a>,
<a href="http://koray.kavukcuoglu.org/">Koray Kavukcuoglu</a>
and many great colleagues.) </p></td></tr>
<tr><td>2008:</td> <td><p> I completed my PhD in May of 2008 at the <a href="http://www.cs.cmu.edu/">
School of Computer Science</a> in <a href="http://www.cmu.edu/">
Carnegie Mellon University</a> working with
<a href="http://www.cs.cmu.edu/%7Ezivbj/">Ziv Bar-Joseph</a> and
<a href="http://www2.warwick.ac.uk/fac/med/staff/jklein/">Judith Klein-Seetharaman</a>. <br>
(Dissertation Committee: <a href="http://www.cs.cmu.edu/%7Ezivbj/" rel="nofollow">Ziv Bar-Joseph</a>, <a href="http://www.cs.cmu.edu/%7Ejudithks/" rel="nofollow">Judith Klein-Seetharaman</a>, <a href="http://www.cs.cmu.edu/%7Echristos/" rel="nofollow">Christos Faloutsos</a>, <a href="http://www.cs.cmu.edu/%7Ejgc/" rel="nofollow">Jaime Carbonell</a>, <a href="http://sbi.imim.es/staff/baldo.html" rel="nofollow">Baldo Oliva</a>)</p>
</td></tr>
<tr><td>2003: </td> <td><p> I received my M.S. in May of 2003 from the <a href="http://www.cs.cmu.edu/">
School of Computer Science</a> in <a href="http://www.cmu.edu/">
Carnegie Mellon University</a>. </p></td> </tr>
<tr><td>2001: </td> <td><p> I received my B.S. with first-class high honors (3 out of 156 graduates) and M.E. (in the accelerated program)
in June of 2001 from <a href="http://www.cs.tsinghua.edu.cn/">
Computer Science Department</a>, <a href="http://www.tsinghua.edu.cn/eng/index.jsp">
Tsinghua university</a>, Beijing. </p></td> </tr>
<tr><td>More: </td> <td><p> I was a
member of <a
href="http://www.tsinghua.edu.cn/publish/newthuen/index.html">Tsinghua
Univ.</a> Chorus team and a member of <a href="http://www.tsinghua.edu.cn/publish/newthuen/index.html">Tsinghua Univ.</a>
Skating Team between 1999-2001. </p></td> </tr>
</tbody></table>
<BR>
<p><a name="qdata"></a></p>
<h2>My UVa Research Team Information</h2>
<table id="datatab2" summary="Table of datasets" border="1" >
<tbody>
<tr>
<h3><b>
<th>Year (until) </th>
<th> Information</th>
</b></h3>
</tr>
<tr><td>2013-2021: </td> <td><p>
[<a href="https://qdata.github.io/qdata-page/"
target="_blank">Group Research Blog</a>] +
[<a href="https://www.youtube.com/channel/UCHMYETgeGbNHVHLidZSV8BQ" target="_blank">Group Research Talk Videos</a>] +
[<a href="https://github.com/qdata" target="_blank">Group GitHub</a>] +
[ <a href="https://github.com/Qdata4Capstone" target="_blank">Group Capstone GitHub</a>] +
[ <a href="https://qdata.github.io/qdata-page/member-page/" target="_blank">Group Members</a>] +
[ <a href="https://qdata.github.io/qdata-page/news/" target="_blank">Group News</a> ] +
[<a href="https://qdata.github.io/deep2Read/aReadingsIndexByDate/" target="_blank">Group Journal Club: Algorithm</a>] +
[<a href="https://qdata.github.io/deep-learning-undergrad-reading-group/" target="_blank">Group Journal Club: Undergraduate</a>]
</p></td> </tr>
</tbody></table>
<BR>
<p><a name="qtalks"></a></p>
<h2>Selected Invited Talks</h2>
<table id="datatab2" summary="Table of datasets" border="1" >
<tbody>
<tr>
<h3><b>
<th>Category </th>
<th> Talk Information</th>
</b></h3>
</tr>
<tr><td>Talks on Robust AI </td> <td><p>
<ul>
<li> [2024 winter]: DrQi's gave an Invited Keynote speech at the 2024 <a href="https://asu-apg.github.io/rbfm/"> NeurIPS Workshop on Responsibly Building Next Generation of Multimodal Foundation Models</a>. Talk Title: Improving toxicity guardrails’ adversarial robustness. @ <a href="">(Recording to come)</a>
</li>
<li>[2021 summer]: DrQi gave a tutorial talk on TextAttack (Slides) at Science Academy Machine Learning Summer School @ <a href="https://www.youtube.com/watch?v=rbHreQffRow&list=PLHj6AQSqIUkPAuSXceSUDelFw_ORaui7x&index=2">(Youtube recording)</a>
</li>
<li>[2018 winter]: DrQi's gave an Invited Webinar Talk at I3P on Feature Squeezing - @ <a href="https://www.youtube.com/watch?v=pFZaktfRdss&list=PLHj6AQSqIUkPAuSXceSUDelFw_ORaui7x">(Webinar Recording)</a>
</li>
<ul>
<tr><td> Talks on Deep Learning for HealthAI </td> <td>
<ul>
<li>[2021 Aug]: DrQi gave a tutorial talk on "Interpretable Deep Learning
for Sequential Data Analysis in Biomedicine" at NIH - Data Science Showcase Seminar Serie. <a href="https://qdata.github.io/qdata-page//talk/2021620-VADC-deepGenomics.pdf">Slide Deck </a>.
</li>
<li>
[2019 Summer]: Dr. Qi taught at UCLA Computational Genomics Summer Institute. Talk title: Joint Learning of Multiple Related Stochastic Gaussian Graphical Models from Heterogenous Samples: Tasks, Estimators and Variations": <a href="https://www.youtube.com/watch?v=KIBNJjd938k&list=PLHj6AQSqIUkPAuSXceSUDelFw_ORaui7x&index=18">Video Recording </a>.
</li>
<li>
[2018 Spring]: Dr. Qi taught at UCLA Computational Genomics Winter Institute and NCBI CBB seminar. Talk title: Making Deep Learning Understandable for Analyzing Sequential Data about Gene Regulation: <a href="https://www.youtube.com/watch?v=vz1bZICCNtU">Video Recording </a>.
</li>
<li>
[2014 Spring]: Dr. Qi gave an invited talk about "Machine Learning for Big Data Complexity in Biomedicine" at 2014 "Genome Sciences Seminar Series" at UVA "Center for public health genomics" @ <a href="https://qiyanjun.github.io/Homepage/paperA14/20140305-CHPG-Talk-online.pdf"> (slide) </a>.
</li>
<ul>
<tr><td> Talk on Career Dev. </td> <td>
<ul>
<li>
[2014/02/24]: Dr. Qi gave an invited talk about "Advice from Early Career Faculty" at 2014 CRA Career Mentoring Workshop
</li>
<ul>
</td> </tr>
</tbody></table>
<BR><p><a name="Teaching"></a></p>
<span class="style2">
<h2>Past Teaching</h2>
<table id="datatab2" summary="Table of datasets" border="1">
<tbody>
<tr>
<h3><b>
<th>Year </th>
<th>Title and Information</th>
</b></h3>
</tr>
<tr><td>2024 Spring</td>
<td> <p>
<a
href="https://qiyanjun.github.io/2024sp-GenAI-Risk-Benefits/" target="_blank">
Generative AI - Risks and Benefits </a> (Graduate Advanced level - Seminar)
<br>
(Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2022 Spring</td>
<td> <p>
<a
href="https://qiyanjun.github.io/2022sp-UVA-CS-MachineLearningDeep/" target="_blank">
Machine Learning Foundation, Deep Learning, and Good Uses </a> (Undergraduate Advanced level) <br>
(Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2020 Fall</td>
<td> <p>
<a
href="https://qiyanjun.github.io/2020f-UVA-CS-MachineLearningDeep/" target="_blank">
Machine Learning Foundation, Deep Learning, and Good Use on COVID19 </a> (Undergraduate Advanced level) <br>
(Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2019 Fall</td>
<td> <p>
<a
href="https://qiyanjun.github.io/2019f-UVA-CS6316-MachineLearning/" target="_blank">
Machine Learning </a> (Master level) <br>
(Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2019 Spring</td><td> <p>
<a href="https://qdata.github.io/deep2Read/aReadingsIndexByDate/" target="_blank"> Deep Learning Advances Graphs</a>
(PhD Student level) <br> (Instructor, Department of Computer Science, University of
Virginia)
<br><font face="Arial,Helvetica"><font color="#990000" size=-1>(Course materials will be added into my
<a href="https://qdata.github.io/deep2Read/aReadingsIndexByTags/">Notes2LearnDeepLearning</a> to help students learn state-of-the-art topics in deep learning.) </font></font>
</p> </td> </tr>
<tr><td>2018 Fall</td>
<td> <p>
<a
href="https://qiyanjun.github.io/2018fUVA-CS4501MachineLearning/" target="_blank">
Machine Learning </a> (Undergraduate level) <br>
(Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2018 Spring</td>
<td> <p>
<a
href="https://qiyanjun.github.io/2018sUVaCS4501003/" target="_blank">
Machine Learning </a> (Undergraduate level) <br>
(Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2017 Fall </td><td> <p>
<a href="https://qdata.github.io/deep2Read/aReadingsIndexByDate/" target="_blank"> Advanced Deep Learning</a>
(PhD Student level) <br> (Instructor, Department of Computer Science, University of
Virginia)
<br><font face="Arial,Helvetica"><font color="#990000" size=-1>(Now we expand the course materials into my
<a href="https://qdata.github.io/deep2Read/aReadingsIndexByDate//aReadingsIndexByTags/">Notes2LearnDeepLearning</a> to help students learn state-of-the-art topics in deep learning.) <br> (This list was started from the ~90 papers I chose from NIPS16+ICLR17+ICML17)</font></font>
</p> </td> </tr>
<tr><td>2016 Fall </td><td> <p> <a
href="teach/2016f/index.html"> Machine Learning
</a> (Master+ AdvancedSenior level)
<br> (Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2015 Fall </td><td> <p> <a
href="teach/2015f/index.html"> Machine Learning
</a> (Master level)
<br> (Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2015 Spring </td><td> <p> <a
href="teach/2015s/index.html">Special Topic: Large-Scale Machine Learning
</a> (PhD Student level)
<br> (Instructor, Department of Computer Science, University of
Virginia)
<br>
<font face="Arial,Helvetica"><font color="#990000" size=-1>(Later I converted the materials into my <a href="https://qdata.github.io/deep2Read/Basic2LearnML/">Notes2LearnLearning</a>): a list of tutorials to help students learn advanced topics in machine learning.)</font> </font>
</p>
</td> </tr>
<tr><td>2014 Fall </td><td> <p> <a
href="teach/2014f/index.html">Introduction to Machine Learning and Data Mining
</a> (Undergraduate+Master level)
<br> (Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2014 Spring </td><td> <p> <a
href="teach/2014s/index.html">Special Topic: Machine Learning
and Data Mining in Practice for Biomedicine</a> (PhD Student level)
<br><font face="Arial,Helvetica"><font color="#990000" size=-1>(This course covers 6 different topics about connecting machine learning and "big data" in biomedicine".)</font></font>
<br> (Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2013 Fall </td><td> <p> <a
href="teach/2013f/index.html">Special Topic: Machine
Learning </a> (PhD Student level)<br><font face="Arial,Helvetica"><font color="#990000" size=-1>(This course covered the book: <a href="https://web.stanford.edu/~hastie/ElemStatLearn/">The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman</a>). </font></font>
<br> (Instructor, Department of Computer Science, University of
Virginia)
</p> </td> </tr>
<tr><td>2006 fall </td><td> <p>
<a
href="http://www.cs.cmu.edu/~roni/15681-f06/">Machine Learning
</a> (Undergraduate+Master level) <br> (Teaching Assistant, School of Computer Science,
Carnegie Mellon University) </p> </td> </tr>
<tr><td>2004 fall </td><td> <p> <a
href="http://www-2.cs.cmu.edu/~awm/15781/">Machine Learning
</a> (PhD Student level) <br> (Teaching Assistant, School of Computer Science, Carnegie
Mellon University) </p> </td> </tr>
</tbody></table>
<p align="right"> <font
face="Times New Roman,Times"> <a href="#top">Back to top</a> </font></p>
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<p align="left"><i>
"Success is not final, failure is not fatal: it is the courage to continue that counts."</i>
--- Winston Churchill
</p>
<p align="left"><i>
“Life is the art of drawing without an
eraser.”</i> --- John W. Gardner
</p>
<p align="left"><i>
"We are what we repeatedly do. Excellence, then, is not an act, but a
habit." </i> --- Aristotle
</p>
<p align="left"><i>
"I can accept failure, everyone fails at something. But I can't accept not trying." </i> --- Michael Jordan
</p>
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