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<!DOCTYPE html>
<html lang="en">
<head>
<title>Jinyu Yang's Homepage</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="author" content="Jinyu Yang" />
<meta name="description" content="Homepage of Jinyu Yang, Amazon Stores Foundational AI (SFAI) - Rufus" />
<meta name="keywords" content="Jinyu Yang, Senior Applied Scientist, Amazon Stores Foundational AI (SFAI) - Rufus" />
<!-- Bootstrap -->
<link href="css/bootstrap.css" rel="stylesheet" />
<link href="css/bootstrap-responsive.css" rel="stylesheet" />
<link href="css/main.css" rel="stylesheet" />
<script src="js/jquery.js"></script>
<script src="js/bootstrap.js"></script>
</head>
<body data-spy="scroll" data-target="#navbar">
<div class="container">
<div class="span8 offset2">
<div class="navbar navbar-fixed-top navbar-inverse" id="navbar">
<div class="navbar-inner">
<div class="container">
<a class="brand" href="#">Jinyu Yang</a>
<ul class="nav">
<li class="active"><a href="#profile">Profile</a></li>
<li><a href="#biography">Biography</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#publications">Publications</a></li>
<li><a href="#activities">Experience</a></li>
<li><a href="#intern_mentorship">Intern Mentorship</a></li>
<li><a href="#services">Services</a></li>
</ul>
</div>
</div>
</div>
<div id="body">
<!--Body content-->
<table cellpadding="3" cellspacing="0" border="0" id="profile">
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<!--
<td valign="top" style="width:180px; text-align: center">
<img src="jinyu.jpg" />
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<p>
<h2>Jinyu Yang</h2> <!-- <i> Overwhelming Power! For dream! For future! </i> -->
</p>
<p>
Senior Applied Scientist
<!--<br />
<a href="https://en.wikipedia.org/wiki/A9.com" target="_blank">Amazon Search</a><br />
<a href="http://amazon.com/" target="_blank">Amazon.com</a><br />-->
<!--<a href="http://www.rice.edu/" target="_blank">Rice University</a><br />-->
</p>
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Amazon Stores Foundational AI (SFAI) - Rufus <br/>
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<tr>
Palo Alto, CA <br/><br/>
</tr>
<tr>
<b>Email:</b> viyjy (at) amazon (dot) com <br />
</tr>
<tr>
<a href="https://scholar.google.com/citations?user=bMBig7kAAAAJ&hl=en" target="_blank">Google Scholar</a>     <a href="https://github.com/viyjy" target="_blank">Github</a>
</tr>
<!-- <tr>
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Office address:
</td>
<td>
B526, Computer Building, Jilin University
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Mailing address:
</td>
<td>
Qianjin Street 2699, Chaoyang District, Changchun, Jilin
</td>
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</td>
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<br />
<!--<div style="text-align:center; vertical-align:middle; line-height:24px"><b>I am graduating in 2019, and am on the job market now.</b></div> -->
<!--<div style="text-align:center; vertical-align:middle; line-height:24px"><b>Looking forward the new Journey of my Life.</b></div> -->
<!-- Biography -->
<h4 id="biography">
Biography</h4>
<p class="contentItem">
I obtained my Ph.D. degree from the computer science department at University of Texas at Arlington (Fall 2018-May 2022; John S. Schuchman Outstanding Doctoral Student). My PhD advisor is <a href="https://ranger.uta.edu/~huang/" target="_blank">Prof. Junzhou Huang</a>. I received my M.S degree (2017) and B.S degree (2015) from SDSU and Jilin University, respectively.
<br/><br/>
<!--
<table style="width:100%">
<tr>
<th style="width:90px; text-align: center"><img src="intern/jlu.jpg" /></th>
<th ></th>
<th style="width:90px; text-align: center"><img src="intern/rice.png" /></th>
<th ></th>
<th style="width:90px; text-align: center"><img src="intern/weibo.png" /></th>
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<th style="width:90px; text-align: center"><img src="intern/xiaomi.jpg" /></th>
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<th style="width:90px; text-align: center"><img src="intern/ms.jpg" /></th>
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<td style="widtd:90px; text-align: center"> 08.7 - 15.6 <br/> B.S & M.E <br/> Jilin Univ.</td>
<td ></td>
<td style="widtd:90px; text-align: center"> 15.8 - Now. <br/> Ph.D. <br/> Rice Univ.</td>
<td ></td>
<td style="widtd:90px; text-align: center"> 11.6 - 11.8 <br/> Intern <br/> Sina Weibo</td>
<td ></td>
<td style="widtd:90px; text-align: center"> 12.1 - 12.5 <br /> Intern <br/> Xiaomi Tech.</td>
<td ></td>
<td style="widtd:90px; text-align: center"> 14.10 - 15.12 <br /> Intern <br/> MSRA</td>
<td ></td>
<td style="widtd:90px; text-align: center"> 17.5 - 17.8 <br / > Intern <br/> NEC Labs</td>
</tr>
</table>
-->
<!--
<br />
During undergrad study, I worked as a developer intern in <a href="http://weibo.com" target="_blank">
Sina Weibo </a> and <a href="http://www.miui.com/" target="_blank"> MIUI Group </a> at <a href="http://www.xiaomi.com/" target="_blank"> Xiaomi </a>.
During my master study, I worked as a research intern in <a href="http://research.microsoft.com/en-us/groups/sa/" target="_blank">
Software Analytics Group </a>at <a href="http://research.microsoft.com/en-us/labs/asia/default.aspx" target="_blank">Microsoft Research Asia</a>, Beijing, China.
My current research interests include data mining and machine learning.
<br />
-->
<!-- Here is my old <a href=".\CV-Chen LUO.pdf" target="_blank">CV</a>. (New CV will coming soon)
</p>
<br />
-->
<!-- Research-->
<h4 id="research">
Research</h4>
<p class="contentItem">
Multimodal, Multimodal LLM, Vision-Language Pretraining, Self-Supervised Learning, Text-to-Image Generation <!--
I am mainly working on the intersection of learning and data.
My research goal is to design scalable, sustainable, and secure machine learning algorithms for massive data sets.
: locality-sensitive hashing, social network analysis, time series analysis, transfer learning, recommender systems, and semi-supervised learning
<ol type="1">
<li><b>Social Networks Mining</b></li>
<ul>
<li><a href="https://github.com/rackingroll/HetePathMine" target="_blank">HetPathMine</a>:
Transductive Classification Method on Heterogeneous Information Networks.</li>
</ul>
<ul>
<li><a href="https://github.com/rackingroll/SemiRPClus" target="_blank">SemiRPClus</a>:
Semi-Supervised Clustering Method on Heterogeneous Information Networks.</li>
<li>Hete-CF:
Social-Based Recommendation using Heterogeneous Relations</li>
</ul>
<li><b>Stream Data Mining </b></li>
<ul>
<li>
-->
<!--<a href="https://github.com/rackingroll/Correlation" target="_blank">-->
<!--
Correlation Algorithm Kit:
Algorithms for Correlation Evaluation between Event and Time Series data</li>
</ul>
<ul>
<li>
-->
<!--<a href="https://github.com/rackingroll/Correlation" target="_blank">-->
<!--
Correlating Time Series data</li>
</ul>
<ul>
<li>
-->
<!--<a href="https://github.com/rackingroll/Correlation" target="_blank">-->
<!--
Emerging Issues detection in High dimensional Stream data.</li>
</ul>
</ol>
**These research areas are only my current research interest.
</p>
-->
<br /><br/>
<!-- Publications -->
<h4 id="publications">
Publications </h4>
* Indicate Equal Contribution; The underline authors are interns mentored by me
<br />
<ol type="1">
<li><u>Sirnam Swetha</u>, <b>Jinyu Yang</b>, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Yao, Trishul Chilimbi, Mubarak Shah. <a href="https://arxiv.org/abs/2407.13851" target="_blank">“X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs”</a>. In Proc. of The 18th European Conference on Computer Vision, Milan, Italy, September 2024. <b>(ECCV'24) (acceptance rate=27%)</b></li><br />
<li>Xinliang Zhu, Michael Huang, Han Ding, <b>Jinyu Yang</b>, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Yao, Doug Gray, Anuj Bindal, Arnab Dhua. “Bringing multimodality to Amazon visual search system”. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 2024. <b>(KDD'24)</b></li><br />
<li>Kushal Kumar, Tarik Arici, Tal Neiman, <b>Jinyu Yang</b>, Shioulin Sam, Yi Xu, Hakan Ferhatosmanoglu, Ismail Tutar. <a href="https://dl.acm.org/doi/abs/10.1145/3583780.3615504" target="_blank">“Unsupervised multi-modal representation learning for high quality retrieval of similar products at e-commerce scale”</a>. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. <b>(CIKM 2023)</b></li><br />
<li><b>Jinyu Yang</b>, Jingjing Liu, Ning Xu, Junzhou Huang. <a href="https://arxiv.org/abs/2108.05988" target="_blank">“TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation”</a>. IEEE Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, USA, January 2023. <b>(WACV'23)</b></li><br />
<li><b>Jinyu Yang</b>, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang. <a href="https://arxiv.org/abs/2202.10401" target="_blank">“Vision-Language Pre-Training with Triple Contrastive Learning”</a>. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, USA, June 2022. <b>(CVPR'22) (acceptance rate=25%)</b></li><br />
<li>Jiali Duan, Liqun Chen, Son Tran, <b>Jinyu Yang</b>, Yi Xu, Belinda Zeng, Trishul Chilimbi. <a href="https://arxiv.org/abs/2203.00048" target="_blank">“Multi-modal Alignment using Representation Codebook”</a>. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, New Orleans, USA, June 2022. <b>(CVPR'22) (acceptance rate=25%)</b></li><br />
<li><b>Jinyu Yang</b>, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang. <a href="https://openaccess.thecvf.com/content/ICCV2021/html/Yang_Exploring_Robustness_of_Unsupervised_Domain_Adaptation_in_Semantic_Segmentation_ICCV_2021_paper.html" target="_blank">“Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation”</a>. In Proc. of the 18th International Conference on Computer Vision, Virtual, October 2021. <b>(ICCV'21 Oral) (acceptance rate=3%)</b></li><br />
<li><b>Jinyu Yang</b>, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang. <a href="https://arxiv.org/abs/2012.08734" target="_blank">“Hierarchical Graph Capsule Network”</a>. In Proc. of the 35th AAAI Conference on Artificial Intelligence, February 2021. <b>(AAAI'21) (acceptance rate=21%)</b></li><br />
<li><b>Jinyu Yang</b>, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang. <a href="https://openaccess.thecvf.com/content/WACV2021/html/Yang_Context-Aware_Domain_Adaptation_in_Semantic_Segmentation_WACV_2021_paper.html" target="_blank">“Context-Aware Domain Adaptation in Semantic Segmentation”</a>. IEEE Winter Conference on Applications of Computer Vision, January 2021. <b>(WACV'21)</b></li><br />
<li><b>Jinyu Yang</b>, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang. <a href="https://link.springer.com/chapter/10.1007/978-3-030-58583-9_29" target="_blank">“Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation”</a>. In Proc. of The 16th European Conference on Computer Vision, Glasgow, United Kingdom, August 2020. <b>(ECCV'20) (acceptance rate=26%)</b></li><br />
<li>Chaochao Yan*, Qianggang Ding*, Peilin Zhao, Shuangjia Zheng, <b>Jinyu Yang</b>, Yang Yu, Junzhou Huang. <a href="https://arxiv.org/abs/2011.02893" target="_blank">“RetroXpert: Decompose Retrosynthesis Prediction like A Chemist”</a>. In Proc. of the 34th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, December 2020. <b>(NeurIPS'20 Spotlight) (acceptance rate=3%)</b> </li><br />
<li>Chaochao Yan, Sheng Wang, <b>Jinyu Yang</b>, Tingyang Xu, Junzhou Huang. <a href="https://dl.acm.org/doi/abs/10.1145/3388440.3412458" target="_blank">“Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation”</a>. ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, September 2020. <b>(ACM-BCB'20)</b> </li><br />
<li>Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, <b>Jinyu Yang</b>, Xinliang Zhu, and Junzhou Huang. <a href="https://ieeexplore.ieee.org/document/9313340" target="_blank">"WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction"</a>, IEEE International Conference on Bioinformatics and Biomedicine, Seoul, Korea, December 2020. <b>(BIBM'20)</b></li><br />
<li><b>Jinyu Yang</b>, Anjun Ma, Adam D. Hoppe, Cankun Wang, Yang Li, Chi Zhang, Yan Wang, Bingqiang Liu, and Qin Ma. <a href="https://academic.oup.com/nar/article/47/15/7809/5542889?login=true" target="_blank">"Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework"</a>. <b>Nucleic Acids Research (IF=19.160)</b> (2019) <a href="https://bmbl.bmi.osumc.edu/DESSO/" target="_blank">[Project Website]</a></li><br />
<li><b>Jinyu Yang</b>, Xin Chen, Adam McDermaid, Qin Ma. <a href="https://academic.oup.com/bioinformatics/article/33/16/2586/3611274?login=true" target="_blank">"DMINDA 2.0: integrated and systematic views of regulatory DNA motif identification and analyses"</a>. <b>Bioinformatics (IF=6.937)</b> (2017) <a href="https://bmbl.bmi.osumc.edu/DMINDA2/" target="_blank">[Project Website]</a></li><br />
<li>Sheng-Yong Niu*, <b>Jinyu Yang</b>*, Adam McDermaid, Jing Zhao, Yu Kang, Qin Ma. <a href="https://academic.oup.com/bib/article/19/6/1415/3805128?login=true" target="_blank">"Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes"</a>. <b>Briefings in Bioinformatics (IF=13.994)</b> (2017)</li><br />
<li>Bingqiang Liu, <b>Jinyu Yang</b>, Yang Li, Adam McDermaid, Qin Ma. <a href="https://academic.oup.com/bib/article/19/5/1069/3064185?login=true" target="_blank">"An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data"</a>. <b>Briefings in Bioinformatics (IF=13.994)</b> (2017)</li><br />
<li>Yu Zhang*, Juan Xie*, <b>Jinyu Yang</b>, Anne Fennell, Chi Zhang, Qin Ma. <a href="https://academic.oup.com/bioinformatics/article/33/3/450/2572040?login=true" target="_blank">"QUBIC: a bioconductor package for qualitative biclustering analysis of gene co-expression data"</a>. <b>Bioinformatics (IF=6.937)</b> (2017)</li>
</ol>
<br/>
<h4 id="activities">
Working Experience</h4>
<table class="contentItem">
<tbody>
<tr>
<td style="vertical-align: top;">
Dec 2024 - Now
</td>
<td style="padding: 0 15px">
Senior Applied Scientist <br />
Amazon Stores Foundational AI (SFAI) - Rufus <br />
Palo Alto, CA, USA
</td>
</tr>
<tr>
<td style="vertical-align: top;">
May 2022 - Dec 2024
</td>
<td style="padding: 0 15px">
Applied Scientist II <br />
Amazon Search Science & AI <br />
Palo Alto, CA, USA
</td>
</tr>
<tr>
<td style="vertical-align: top;">
Sep 2021 - Dec 2021
</td>
<td style="padding: 0 15px">
Applied Scientist Intern <br />
Visual Search & AR Team, Amazon Search <br />
Palo Alto, CA, USA
</td>
</tr>
<tr>
<td style="vertical-align: top;">
May 2021 - Aug 2021
</td>
<td style="padding: 0 15px">
Research Intern <br />
Image & Video Group, Kuaishou US R&D Center <br />
Palo Alto, CA, USA
</td>
</tr>
<!--
<tr>
<td style="vertical-align: top;">
May 2019 - Aug 2019
</td>
<td style="padding: 0 15px">
Research Intern <br />
Machine Learning Center, Tencent AI Lab <br />
Shenzhen, Guangdong, China
</td>
</tr>
-->
</tbody>
</table>
<br/>
<h4 id="intern_mentorship"> Intern Mentorship </h4>
<ul>
<li> Zhiruo Zhou, PhD@University of Southern California, 2022 Summer (Now at Apple) </li>
<li> Swetha Sirnam, PhD@University of Central Florida, 2023 Summer and Fall </li>
<li> Ryan Huynh (Chuong), PhD@University of Maryland, College Park, 2024 Summer and Fall </li>
</ul>
<br />
<!-- Courses -->
<!-- <h4 id="Award">
Selected Award</h4>
<table class="contentItem">
<tbody>
<tr>
<td style="min-width: 100px">
2015
</td>
<td>
<a href="http://ccst.jlu.edu.cn/?mod=info&act=view&id=2067"> Wang Xianghao Scholarship </a> <font size="1px" color="red"> <b>*The highest honor in Conputer Science of Jilin University</b></font>
</td>
</tr>
<tr>
<td style="min-width: 100px">
2015
</td>
<td>
<a href="http://ccst.jlu.edu.cn/?mod=info&act=view&id=1568">National Graduate Scholarship </a> <font size="1px" color="red"> <b>*The highest honor for graduate students in China</b></font>
</td>
</tr>
<tr>
<td style="min-width: 100px">
2015
</td>
<td>
Suzhou Industrial Park Scholarship
</td>
</tr>
<tr>
<td style="min-width: 100px">
2013 - 2014
</td>
<td>
Outstanding Graduate Student
</td>
</tr>
<!-- <tr>
<td style="min-width: 100px">
2013 - 2014
</td>
<td>
Graduate Students First-Class Scholarship
</td>
</tr>
<tr>
<td style="min-width: 100px">
2012 - 2013 (<b>Two years</b>)
</td>
<td>
Graduate Students Basic Scholarship
</td>
</tr>
<tr>
<td style="min-width: 100px">
2012 Spring
</td>
<td>
Popcorn Award in Xiaomi, the most popular function updated in a weak!
</td>
</tr>
<tr>
<td>
2008 - 2011 (<b>Three years</b>)
</td>
<td>
Jilin University Second-Class Scholarship
</td>
</tr>
<tr>
<td style="min-width: 100px">
2008 - 2011
</td>
<td>
Outstanding Undergraduate Student
</td>
</tr>
<!-- <tr>
<td style="min-width: 100px">
2011 Spring
</td>
<td>
Honorable Mention of Jilin University Programming Contest
</td>
</tr>
<tr>
<td>
2010 - 2012
</td>
<td>
First-Class of National Undergraduate Scientific and Technological Innovation Project
</td>
</tr>
</tbody>
</table>
<br />
--> <!-- Others -->
<!-- <h4 id="others">
Others</h4>
<div class="contentItem">
<p>
With more than 8 years' programming experiences, including those in Microsoft, Sina and Xiaomi, and the still ongoing Ph.D education, I am super interested in pushing things looking impossible to the reality, thus bring values to the users and profits to the company.
As a Ph.D student, I'm learning how to choose "good" topics and how to tackle very hard problems with fast learning and experiment-supported logics, while also being able to use 10+ programming languages/platforms to actually get things done.
</p>
-->
<!-- Others -->
<h4 id="services">
Review Service</h4>
<div class="contentItem">
<p>
Computational Biology and Chemistry<br />
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)<br />
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) <br />
International Conference on Intelligent Biology and Medicine (ICIBM), 2020<br />
Neural Information Processing Systems (NeurIPS), 2021 <b>[Outstanding Reviewer Award]</b>, 2022-2023<br />
IEEE Winter Conference on Applications of Computer Vision (WACV), 2022-2023 <br />
The International Conference on Learning Representations (ICLR), 2022-2023 <br />
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 <br />
International Conference on Machine Learning (ICML), 2022 <br />
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022 <br />
European Conference on Computer Vision (ECCV), 2022 <br />
ACM International Conference on Information and Knowledge Management (CIKM), 2022 <br />
Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022 <br />
Journal of Visual Communication and Image Representation (JVCI), 2022
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*Last updated on Dec 2024.<br />
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