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<!doctype html><html lang="en" class="no-js"><head><meta charset="utf-8"> <!-- begin SEO --><title>Biography - Tianyi Zhang</title><meta property="og:locale" content="en-US"><meta property="og:site_name" content="Tianyi Zhang"><meta property="og:title" content="Biography"><link rel="canonical" href="https://tianyi-zhang.github.io/"><meta property="og:url" content="https://tianyi-zhang.github.io/"><meta property="og:description" content="About me"> <script type="application/ld+json"> { "@context" : "http://schema.org", "@type" : "Person", "name" : "Tianyi Zhang", "url" : "https://tianyi-zhang.github.io", "sameAs" : null } </script> <!-- end SEO --><link href="https://tianyi-zhang.github.io/feed.xml" type="application/atom+xml" rel="alternate" title="Tianyi Zhang Feed"> <!-- http://t.co/dKP3o1e --><meta name="HandheldFriendly" content="True"><meta name="MobileOptimized" content="320"><meta name="viewport" content="width=device-width, initial-scale=1.0"> <script> document.documentElement.className = document.documentElement.className.replace(/\bno-js\b/g, '') + ' js '; </script> <!-- For all browsers --><link rel="stylesheet" href="https://tianyi-zhang.github.io/assets/css/main.css"><meta http-equiv="cleartype" content="on"> <!-- start custom head snippets --><link rel="apple-touch-icon" sizes="57x57" href="https://tianyi-zhang.github.io/images/apple-touch-icon-57x57.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="60x60" href="https://tianyi-zhang.github.io/images/apple-touch-icon-60x60.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="72x72" href="https://tianyi-zhang.github.io/images/apple-touch-icon-72x72.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="76x76" href="https://tianyi-zhang.github.io/images/apple-touch-icon-76x76.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="114x114" href="https://tianyi-zhang.github.io/images/apple-touch-icon-114x114.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="120x120" href="https://tianyi-zhang.github.io/images/apple-touch-icon-120x120.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="144x144" href="https://tianyi-zhang.github.io/images/apple-touch-icon-144x144.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="152x152" href="https://tianyi-zhang.github.io/images/apple-touch-icon-152x152.png?v=M44lzPylqQ"><link rel="apple-touch-icon" sizes="180x180" href="https://tianyi-zhang.github.io/images/apple-touch-icon-180x180.png?v=M44lzPylqQ"><link rel="icon" type="image/png" href="https://tianyi-zhang.github.io/images/favicon-32x32.png?v=M44lzPylqQ" sizes="32x32"><link rel="icon" type="image/png" href="https://tianyi-zhang.github.io/images/android-chrome-192x192.png?v=M44lzPylqQ" sizes="192x192"><link rel="icon" type="image/png" href="https://tianyi-zhang.github.io/images/favicon-96x96.png?v=M44lzPylqQ" sizes="96x96"><link rel="icon" type="image/png" href="https://tianyi-zhang.github.io/images/favicon-16x16.png?v=M44lzPylqQ" sizes="16x16"><link rel="manifest" href="https://tianyi-zhang.github.io/images/manifest.json?v=M44lzPylqQ"><link rel="mask-icon" href="https://tianyi-zhang.github.io/images/safari-pinned-tab.svg?v=M44lzPylqQ" color="#000000"><link rel="shortcut icon" href="/images/favicon.ico?v=M44lzPylqQ"><meta name="msapplication-TileColor" content="#000000"><meta name="msapplication-TileImage" content="https://tianyi-zhang.github.io/images/mstile-144x144.png?v=M44lzPylqQ"><meta name="msapplication-config" content="https://tianyi-zhang.github.io/images/browserconfig.xml?v=M44lzPylqQ"><meta name="theme-color" content="#ffffff"><link rel="stylesheet" href="https://tianyi-zhang.github.io/assets/css/academicons.css"/> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ TeX: { equationNumbers: { autoNumber: "all" } } }); </script> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ tex2jax: { inlineMath: [ ['$','$'], ["\\(","\\)"] ], processEscapes: true } }); </script> <script src='https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.4/latest.js?config=TeX-MML-AM_CHTML' async></script> <!-- end custom head snippets --></head><body> <!--[if lt IE 9]><div class="notice--danger align-center" style="margin: 0;">You are using an <strong>outdated</strong> browser. Please <a href="http://browsehappy.com/">upgrade your browser</a> to improve your experience.</div><![endif]--><div class="masthead"><div class="masthead__inner-wrap"><div class="masthead__menu"><nav id="site-nav" class="greedy-nav"> <button><div class="navicon"></div></button><ul class="visible-links"><li class="masthead__menu-item masthead__menu-item--lg"><a href="https://tianyi-zhang.github.io/">Tianyi Zhang</a></li><li class="masthead__menu-item"><a href="https://tianyi-zhang.github.io/publications/">Publications</a></li><li class="masthead__menu-item"><a href="https://tianyi-zhang.github.io/files/Tianyi_Zhang_CV.pdf">CV</a></li><li class="masthead__menu-item"><a href="https://tianyi-zhang.github.io/teaching/">Teaching</a></li><li class="masthead__menu-item"><a href="https://tianyi-zhang.github.io/students/">Students</a></li><li class="masthead__menu-item"><a href="https://tianyi-zhang.github.io/service/">Service</a></li></ul><ul class="hidden-links hidden"></ul></nav></div></div></div><div id="main" role="main"><div class="sidebar sticky"><div itemscope itemtype="http://schema.org/Person"><div class="author__avatar"> <img src="https://tianyi-zhang.github.io/images/profile.png" class="author__avatar" alt="Tianyi Zhang"></div><div class="author__content"><h3 class="author__name">Tianyi Zhang</h3><p class="author__bio">Assistant Professor, Department of Computer Science, Purdue University</p></div><div class="author__urls-wrapper"> <button class="btn btn--inverse">Follow</button><ul class="author__urls social-icons"><li><i class="fa fa-fw fa-map-marker" aria-hidden="true"></i> West Lafayette, IN</li><li><a href="mailto:tianyi@purdue.edu"><i class="fas fa-fw fa-envelope" aria-hidden="true"></i> Email</a></li><li><a href="https://twitter.com/tian_yi_zhang"><i class="fab fa-fw fa-twitter-square" aria-hidden="true"></i> Twitter</a></li><li><a href="https://github.com/tianyi-zhang"><i class="fab fa-fw fa-github" aria-hidden="true"></i> Github</a></li><li><a href="https://scholar.google.ca/citations?user=zGo44SQAAAAJ&hl=en"><i class="fas fa-fw fa-graduation-cap"></i> Google Scholar</a></li><li><a href="https://dblp.org/pid/17/322-1.html"><i class="ai ai-dblp-square ai-fw"></i> DBLP</a></li><li><a href="https://orcid.org/0000-0002-5468-9347"><i class="ai ai-orcid-square ai-fw"></i> ORCID</a></li></ul></div></div></div><article class="page" itemscope itemtype="http://schema.org/CreativeWork"><meta itemprop="headline" content="Biography"><meta itemprop="description" content="About me"><div class="page__inner-wrap"><header><h1 class="page__title" itemprop="headline">Biography</h1></header><section class="page__content" itemprop="text"><p>Tianyi Zhang is a Tenure-Track Assistant Professor of Computer Science and Societal Impact Fellow at Purdue University. At Purdue, he leads the Human-Centered Software Systems Lab, where he and his students develop intelligent systems that synergize human expertise with machine intelligence, with a particular focus on improving programming productivity and the robustness and safety of modern software. Prior to that, he was a Postdoctoral Fellow at Harvard University, working with <a href="https://glassmanlab.seas.harvard.edu/">Dr. Elena Glassman</a>. He obtained his Ph.D. in CS from UCLA in 2019 under the supervision of <a href="http://web.cs.ucla.edu/~miryung/">Dr. Miryung Kim</a>. His work has been recognized with an <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2340408&HistoricalAwards=false">NSF Career Award</a>, an <a href="https://www.amazon.science/research-awards/recipients/tianyi-zhang">Amazon Research Award</a>, and Best Paper Honorable Mention Awards from SIGCHI and VAHC.</p><!--<div markdown="span" class="message"> <i class="fa fa-bullhorn"></i> I am looking for PhD, Master's and undergraduate students with strong motivations to join my research group. If you are interested, please contact me with your CV.</div>--><h1 id="research">Research</h1><p>My research is in the intersection of Software Engineering, Human-Computer Interaction, and AI. I am broadly interested in building interactive intelligent systems that (1) <i>augment human intelligence</i> with data-driven insights and (2) <i>augment machine intelligence</i> with human guidance. Most of my work is designed for people in the programming domain, including software developers, novice programmers, and computer end-users.</p><ul><li>My work on code mining and visualization helps programmers make more informed decisions by unveiling what others have and have not done in similar contexts in GitHub and Stack Overflow (<a href="https://tianyi-zhang.github.io/files/icse2018-examplecheck.pdf">ICSE 2018</a>, <a href="https://tianyi-zhang.github.io/files/chi2018-examplore.pdf">CHI 2018</a>, <a href="https://tianyi-zhang.github.io/files/icse2019-examplestack.pdf">ICSE 2019</a>, <a href="https://tianyi-zhang.github.io/files/chi2020-data-driven-API-design.pdf">CHI 2020</a>, <a href="https://tianyi-zhang.github.io/files/chi2021-examplenet.pdf">CHI 2021a</a>, <a href="http://tianyi-zhang.github.io/files/uist2022-paralib.pdf">UIST 2022a</a>).</li><li>My work on program synthesis helps novices and end-users better communicate their intent and guide a synthesizer with enriched feedback loops and interpretability (<a href="https://tianyi-zhang.github.io/files/uist2020-interactive-program-synthesis.pdf">UIST 2020</a>, <a href="https://tianyi-zhang.github.io/files/chi2021-interpretable-synthesis.pdf">CHI 2021b</a>, <a href="http://tianyi-zhang.github.io/files/uist2022-intent.pdf">UIST 2022b</a>).</li><li>My work on autonomous driving testing enhances our understading of developer needs of testing autonomous driving systems and enables developers to express richer and more efficient test scenarios (<a href="http://tianyi-zhang.github.io/files/fse2022-ADS-testing-needs.pdf">ESEC/FSE 2022a</a>, <a href="http://tianyi-zhang.github.io/files/fse2022-ADS-test-reduction.pdf">ESEC/FSE 2022b</a>, <a href="http://tianyi-zhang.github.io/files/tse2022-declarative-ADS-testing.pdf">TSE 2022</a>).</li></ul><p>I also work on research topics including code search (<a href="http://web.cs.ucla.edu/~tianyi.zhang/critics.pdf">ICSE 2015</a>, <a href="http://web.cs.ucla.edu/~tianyi.zhang/ILP-code-search-preprint.pdf">ICSE 2019</a>, <a href="https://tianyi-zhang.github.io/files/fse2020-industry-example-generation.pdf">ESEC/FSE 2020 Industry</a>), test reuse (<a href="http://web.cs.ucla.edu/~tianyi.zhang/grafter.pdf">ICSE 2017</a>), software debloating (<a href="https://tianyi-zhang.github.io/files/fse2020-jshrink.pdf">ESEC/FSE 2020</a>), and empirical studies on deep learning engineering (<a href="http://web.cs.ucla.edu/~tianyi.zhang/deep-learning-study.pdf">ISSRE 2019</a>, <a href="https://arxiv.org/pdf/2002.02175.pdf">PerCom 2020</a>). Beyond that, I have collaborated with psychiatrists at Harvard Medical School and Massachusetts General Hospital to help them explore massive amounts of health records and develop data-driven insights about disease progression and treatment trajectories (<a href="http://tianyi-zhang.github.io/files/Interactive_Visual_Analytics_for_EHRs__VAHC_2021.pdf">VAHC 2021</a>).</p><h1 id="news">News</h1><ul><li>[Jan. 2025] Our paper on a fine-grained analysis of LLM-based code generation errors was accepted to the second round of ICSE 2025! Congratulations to Zhijie, Da, and Zijie!</li><li>[Jan. 2025] Our paper on a mixed-initiative multi-agent system for data wrangling was accepted to CHI 2025! Congratulations to Wei-Hao and Weixi!</li><li>[Dec. 2024] Our paper on mixed-initiative image labeling was accepted to IUI 2025! Congratulations to Shiyuan, Bingxuan, Xiyuan, Zhi, Yiwen, and Yifeng!</li><li>[Dec. 2024] Our paper on text-to-SQL data curation was accepted to IUI 2025! Congratulations to Yuan!</li><li>[Dec. 2024] Our paper on interactive program repair was accepted to the first round of OOPSLA 2025! Congratulations to Ruixin!</li><li>[Oct. 2024] Our paper on bidirectional grounding of LLM-based code generation was accepted to the first round of ICSE 2025! Congratulations to Yifeng!</li><li>[Sept. 2024] Our paper on LLM-as-a-judge for code generation was accepted to EMNLP 2024! Congratulations to Weixi!</li><li>[Aug. 2024] I received an <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2416835&HistoricalAwards=false"> NSF grant</a> to support my research on autonomous driving testing. Thank you NSF!</li><li>[Aug. 2024] Our paper on using LLMs to generate Coq proofs for formal verification was accepted to ASE 2024! Congratulations to Minghai!</li><li>[Aug. 2024] Our paper on grounding text-to-SQL generation with interactive explanations was accepted to UIST 2024! Congratulations to Yuan!</li><li>[Jun. 2024] Prof. Priscilla Ding and I received a Showalter Trust Research Award to support our research on pre-diabetes risk prediction using behavioral determinants of health! Thank you Showalter Trust!</li><li>[Apr. 2024] Our paper on whether LLMs pay similar attention like human programmers when generating code was accepted to FSE 2024! Congratulations to Bonan, Shengmai, and Zhijie!</li><li>[Mar. 2024] I received an <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2340408&HistoricalAwards=false">NSF Career Award</a> to support my research on safe and reliable LLM-based code generation! Thank you NSF!</li><li>[Mar. 2024] Our paper about automated DL optimization was accepted to ISSTA 2024! Congratulations to Ruixin and Minghai!</li><li>[Feb. 2024] Our invited paper about text-to-SQL generation errors was accepted to TiiS! Congratulations to Zheng N., Yuan, and Zheng Z.!</li><li>[Jan. 2024] Our paper about ChatGPT vs. Stack Overflow was accepted to CHI 2024! Congratulations to Samia, David, and Bonan!</li><li>[Jan. 2024] Our paper about interactive debugging for ML fairness was accepted to CHI 2024! Congratulations to Samia and Lixiang!</li><li>[Jan. 2024] Our paper about prompt engineering for generative AI was accepted to CHI 2024! Congratulations to Zhijie, Yuheng, and Da!</li><li>[Oct. 2023] Our paper about interactive SQL generation was accepted to EMNLP 2023! Congratulations to Yuan!</li><li>[Aug. 2023] I received a <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2333736&HistoricalAwards=false">$1.5M NSF grant</a> to support our research on constructing a knowledge graph for software supply chain security. Thank you NSF!</li><li>[Jul. 2023] Our paper about noise-robust learning for software entity recognition was accepted to ASE 2023! Congratulations to Tai, Yifeng, and Joohan!</li><li>[Jun. 2023] Our paper about mixed-initiative web automation was accepted to UIST 2023! Congratulations to WeiHao, Xiaoyu, Jiacheng, Zhicheng, Nicole, and Rui!</li><li>[May 2023] Our paper about neuro-symbolic learning for rapid image labeling was accepted to KDD 2023! Congratulations to Yifeng, Zhi, Yiwen, Shiyuan, Xiyuan, and Bingxuan!</li><li>[May 2023] Our paper about knowledge extraction from Stack Overflow for DL version incompatibility detection was accepted to ESEC/FSE 2023! Congratulations to Zhongkai, Bonan, and Yilmaz!</li><li>[Mar. 2023] I received an <a href="https://www.amazon.science/research-awards/recipients/tianyi-zhang">Amazon Research Award</a> to support my work on human-in-the-loop DL compiler optimization. Thank you Amazon!</li><li>[Jan. 2023] Our paper about state abstraction-based debugging for RNN models was accepted to CHI 2023! Congratulations to Zhijie, Yuheng, and Da!</li><li>[Jan. 2023] Our paper about interactive debugging for out-of-distribution errors in NLP models was accepted to CHI 2023! Congratulations to Da, Zhijie, and Yuheng!</li><li>[Jan. 2023] Our paper about model errors and user repair strategies in NL-based SQL generation models was accepted to IUI 2023! Congratulations to Zheng N., Zheng Z., Tianyi S., and Yuan!</li><li>[Dec. 2022] Our paper about automated summarization of Stack Overflow posts was accepted to ICSE 2023! Congratulations to Bonan!</li><li>[Aug. 2022] Our paper about declarative testing of autonomous driving systems was accepted to TSE 2022! Congratulations to Yao and Guannan!</li><li>[Jul. 2022] I was recognized as a Distinguished Reviewer for ESEC/FSE 2022!</li><li>[Jun. 2022] Our paper about interactive synthesis of tensor transformation programs was accepted to UIST 2022! Congratulations to Zhanhui, Tiger, Qiping, and Shangyin!</li><li>[Jun. 2022] Our paper about concept-annotated examples for library comparsion was accepted to UIST 2022! Congratulations to Litao!</li><li>[Jun. 2022] I received the <a href="https://www.purdue.edu/research/oevprp/funding-and-grant-writing/funding/ross-lynn-research-scholar-fund.php">Ross-Lynn Research Scholar Fund</a> to support my research on knowledge acquisition from Stack Overflow. Thanks Purdue!</li><li>[Jun. 2022] I was selected as a Societal Impact Fellow at Purdue!</li><li>[Jun. 2022] Our paper about test reduction and prioritization for multi-module autonomous driving systems was accepted to ESEC/FSE 2022! Congratulations to Yao and Guannan!</li><li>[Jun. 2022] Our paper about the common practices and needs of testing autonomous driving systems was accepted to ESEC/FSE 2022! Congratulations to Guannan and Yao!</li><li>[Mar. 2022] Our paper about a dataset of Stack Overflow post summaries was accepted to the data/tool showcase track at MSR 2022! Congratulations to Bonan and Yifeng!</li><li>[Feb. 2022] Our paper about the usability of GitHub Copilot was accepted to CHI 2022 Late-Breaking Work! Congratulations to Priyan!</li><li>[Jan. 2022] Our paper about AI-based CPS was accepted to ICSE-SEIP 2022! Congratulations to Jiayang and Deyun!</li><li>[Oct. 2021] Our paper about interactive visual analytics for cohort analysis received an Honorable Mention Award from VAHC 2021!</li><li>[Aug. 2021] Our paper about interactive visual analytics for cohort analysis was accepted to VAHC 2021!</li><li>[Aug. 2021] I will teach a graduate seminar class on Human-AI Interaction this fall! Check the syllabus <a href="files/CS59200_HAI_Syllabus.pdf">here</a>!</li><li>[Apr. 2021] I will join Purdue CS as a tenure-track assistant professor this fall!</li><li>[Apr. 2021] I was recognized as a Distinguished Reviewer for ACM TOSEM!</li><li>[Mar. 2021] Our CHI 2021 paper “Visualizing Examples of Deep Neural Networks at Scale” received the Best Paper Honorable Mention Award from SIGCHI!</li><li>[Dec. 2020] Our paper about interpretable program synthesis was accepted to CHI 2021!</li><li>[Dec. 2020] Our paper about visualizing the distribution of design choices such as model structures and hyperparameter settings in a corpus of DNNs was accepted to CHI 2021! Congratulations to Litao!</li><li>[Aug. 2020] Our demo paper on debloating modern java applications was accepted to FSE 2020 Demonstration Track! Congratulations to Konner and Mihir!</li><li>[Aug. 2020] Our paper about example generation was accepted to FSE 2020 Industry Track! Congratulations to Celeste!</li><li>[Jun. 2020] Our paper about interactive program synthesis was accepted to UIST 2020!</li></ul></section><footer class="page__meta"></footer></div></article></div><div class="page__footer"><footer> <!-- start custom footer snippets --> <a href="/sitemap/">Sitemap</a> <!-- end custom footer snippets --><div class="page__footer-follow"><ul class="social-icons"><li><strong>Follow:</strong></li><li><a href="http://github.com/tianyi-zhang"><i class="fab fa-github" aria-hidden="true"></i> GitHub</a></li><li><a href="https://tianyi-zhang.github.io/feed.xml"><i class="fa fa-fw fa-rss-square" aria-hidden="true"></i> Feed</a></li></ul></div><div class="page__footer-copyright">© 2025 Tianyi Zhang. 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