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<!DOCTYPE HTML>
<!--
Strata by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Wenqing Zheng's Home Page</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<!-- <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css" /> -->
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<link rel="feed" href="/~htwang/index.xml" type="application/rss+xml" title="Haotao Wang's Homepage">
<link rel="icon" type="image/png" href="/~htwang/img/icon.png">
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</head>
<body class="is-preload">
<!-- Header -->
<header id="header">
<div class="inner">
<a href="#" class="image avatar"><img src="images/avatar.jpg" alt="" /></a>
<h1><strong>I'm Wenqing Zheng</strong>,</h1>
<h1>Ph.D. student at UT Austin, <a href="https://vita-group.github.io/group.html" target="_blank"> VITA </a> group.</h1>
</div>
</header>
<!-- Main -->
<div id="main">
<!-- One -->
<section id="one">
<header class="major">
<h1>About Me</h1>
</header>
<p style="text-align:justify; text-justify:inter-ideograph;font-size:110%">
I'm a passionate applied scientist with a PhD from UT Austin (it's my great honor to have been supervised by Prof. <a href="https://vita-group.github.io/group.html" target="_blank">Atlas Wang</a>) and a Bachelor's from BUPT. Currently at Amazon Search, I leverage my expertise in multi-modality LLM fine-tuning, large-scale ranker training, and recommendation system optimization to enhance customer experience. My work involves recommending relevant keywords to customers at a global scale, improving keywords suggestion acceptance rate and streamlining the overall experience for Amazon shoppers.
<!-- . I obtained my Bachelor's degree from Beijing University of Posts and Telecommunications (BUPT) in 2018 when I worked with professor <a href="https://scholar.google.com.hk/citations?user=NC-ZeKAAAAAJ&hl=zh-CN" target="_blank">Wenjun Xu</a>, and obtained my Master's from UT Austin in 2020 in professor <a href="https://ece.ncsu.edu/people/ngonzal9/" target="_blank">Nuria González Prelcic</a>'s group. -->
<!-- Here is my [<a class="nav-link " href="./files/Resume_Wenqing_Zheng.pdf" target="_blank"><span>CV</span></a>]. -->
</section>
<div class="row">
<!-- <div class="col-md-5"> -->
<div class="col-5 col-9-xsmall">
<h2>Interests</h2>
<ul class="ul-interests" style="font-size:110%">
<li>Search Experience Optimization</li>
<li>Large Language Models</li>
<li>Graph Neural Networks</li>
</ul>
</div>
<div class="col-6 col-6-xsmall">
<!-- <div class="col-md-7"> -->
<h2>Education</h2>
<ul class="ul-edu fa-ul" style="font-size:110%">
<li>
<i class="fa-li fas fa-graduation-cap"></i>
<div class="description">
<p class="course" ><b>The University of Texas at Austin</b><br />
M.S. in Engineering, 2018 - 2020<br />
Ph.D., 2020 - 2023
</p>
</div>
</li>
<li>
<i class="fa-li fas fa-graduation-cap"></i>
<div class="description">
<p class="course"><b>Beijing University of Posts and Telecommunications</b><br />
B.Eng. in Communications Engineering, 2014 - 2018</p>
</div>
</li>
</ul>
</div>
</div>
<section id="exp">
<h1>Professional Experience</h1>
<div class="col-12 col-lg-8">
<ul style="font-size:110%">
<li>Applied Scientist, Amazon, 2023 - present
<ul>
<li type="circle">Developed and implemented large-scale keyword recommendation systems for Amazon Search, improving search suggestions acceptance rate and order purchase sales for a global audience.</li>
<li type="circle">Utilized multi-modality LLM fine-tuning and large-scale ranker training to optimize candidate generation and ranking for Amazon's recommendation systems.</li>
<li type="circle">Skilled in building and deploying recommendation systems, improving next search keywords prediction.</li>
</ul>
</li>
<li>Research Intern, The Home Depot, summer 2023
<ul>
<li type="circle">Provide essential accessory recommendations in the Home Depot site, which are based on content that substitutes user behavior based recommendation.</li>
<li type="circle">Leverage ChatGPT and other large language models to retrieve the recommendation product taxonomy. Evaluate recommendation recall between extractive QA, text classification and ChatGPT.</li>
<li type="circle">Host(s): Dr. Omar ElTayeby, Dr. Haozheng Tian, Dr. Janani Balaji, Dr. Xiquan Cui
</ul>
</li>
<li>Research Intern, Google Cloud, summer 2022
<ul>
<li type="circle">Performance prediction, workload and platform matching for cloud computing. </li>
<li type="circle">Host(s): Dr. <a href="https://www.linkedin.com/in/liang-zhang-27708578/" target="_blank">Eric Zhang</a>, Dr. <a href="https://www.linkedin.com/in/qiuyunwang/" target="_blank">Chelsea Llull</a> </li>
</ul>
</li>
<li>Applied Science Research Intern, Amazon A9, summer 2021 - spring 2022
<ul>
<li type="circle">Cold-start graph embedding learning for recommendation systems: first pretrain a graph model to generate versatile node embeddings using self-supervised learning, then learn a student model that is able to generalize to strict-cold-start nodes.</li>
<li type="circle">Manager/Mentor(s): Dr. <a href="https://www.linkedin.com/in/karthik-subbian-29893095/" target="_blank">Karthik Subbian</a>, Dr. <a href="https://www.linkedin.com/in/nikhil-rao-012068a1/" target="_blank">Nikhil Rao</a> </li>
</ul>
</li>
<li>Research Assistant, Visual Informatics Group, the University of Texas at Austin
<ul>
<li type="circle">Advisor: Dr. <a href="https://vita-group.github.io/group.html" target="_blank"> Zhangyang (Atlas) Wang</a></li>
<li type="circle">Research topics include:</li>
<ul>
<li type="circle">Learning to Optimize: deliver faster and better optimizer for deep neural networks through back-propogate through the optimization procedure and find optimal optimizer in a data driven way.</li>
<li type="circle">Transformers: leverage the sequence modeling power of transformers in graph modeling/reinforcement learning.</li>
<li type="circle">Graph Networks: develop efficient graph models that scales and generalize. </li>
</ul>
</ul>
</li>
<li>Research Assistant, WSIL Group, the University of Texas at Austin
<ul>
<li type="circle">Estimate user device position through 5G millimeter wave signal, using compressive sensing (Orthogonal Mathing Pursuit) and deep learning (ConvNets, swarm based learning to optimize) approaches.</li>
<li type="circle">Advisor: Dr. <a href="https://ece.ncsu.edu/people/ngonzal9/" target="_blank">Nuria González Prelcic</a></li>
</ul>
</li>
<li>Research Intern, GEIRI North America
<ul>
<li type="circle">Train a Soft Actor-Critic agent to manage large scale power grid: embed the huge discrete geometric actionsinto continuous space; using Graph Neural Networks as preprocessing; Monte-Carlo Tree search as efficientexploration</li>
<li type="circle">Mentor: Dr. <a href="https://www.linkedin.com/in/jiajunduancary/" target="_blank">Jiajun Duan</a></li>
</ul>
</li>
<li>Research Assistant, UWC Lab, Beijing University of Posts and Telecommunications
<ul>
<li type="circle">Signal processing for wireless communications (Doppler spread estimation)</li>
<li type="circle">Advisor: Dr. <a href="https://scholar.google.com/citations?user=NC-ZeKAAAAAJ&hl=zh-CN" target="_blank"> Wenjun Xu</a></li>
</ul>
</li>
</ul>
</div>
</section>
<section id="two">
<h1>Selected publications</h1>
<!-- <div class="column"> -->
<div class="sec-wrapper pub-wrapper" id="pub">
<div class="container-fluid" style="font-size:102%">
<!-- <div class="row">
<div class="col col-wrapper">
<div class="section-title">Publications</div>
</div>
</div>
-->
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https:"><img src="images/paper-figs/coder.png" height="150" width="180" alt="AutoGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="word">
<b><a href="https:">
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
</a></b>
</div>
<div class="authors">
Wenqing Zheng, SP Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, <br />Dejia Xu, Zhangyang Wang, International Conference on Machine Learning <br />(ICML), 2023
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://openreview.net/forum?id=1ugNpm7W6E"><img src="images/paper-figs/coldbrew.png" height="150" width="180" alt="AutoGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="word">
<b><a href="https://openreview.net/forum?id=1ugNpm7W6E">
Cold Brew: Distilling Graph Node Representations with <br />Incomplete or Missing Neighborhoods
</a></b>
</div>
<div class="authors">
Wenqing Zheng, Edward W Huang, Nikhil Rao, Sumeet Katariya, <br />Zhangyang Wang, Karthik Subbian, in International Conference <br />on Learning Representations (ICLR) 2022
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://openreview.net/forum?id=ef0nInZHKIC"><img src="images/paper-figs/l2o.png" height="150" width="180" alt="AutoGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="word">
<b><a href="https://openreview.net/forum?id=ef0nInZHKIC">
Symbolic Learning to Optimize: Towards Interpretability and Scalability
<!-- Bag of Tricks for Training Deeper Graph Neural Networks: <br />A Comprehensive Benchmark Study -->
</a></b>
</div>
<div class="authors">
Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang, <br />in International Conference on Learning Representations (ICLR) 2022
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://openreview.net/forum?id=1ugNpm7W6E"><img src="images/paper-figs/peihao.png" height="150" width="180" alt="AutoGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="word">
<b><a href="https://openreview.net/forum?id=O476oWmiNNp">
Anti-Oversmoothing in Deep Vision Transformers via the <br />Fourier Domain Analysis: From Theory to Practice
<!-- Cold Brew: Distilling Graph Node Representations with <br />Incomplete or Missing Neighborhoods -->
</a></b>
</div>
<div class="authors">
Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang, <br />in International Conference on Learning Representations (ICLR) 2022
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9773017"><img src="images/paper-figs/benchmark.png" height="150" width="180" alt="AutoGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="word">
<b><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9773017">
Bag of Tricks for Training Deeper Graph Neural Networks: <br />A Comprehensive Benchmark Study
</a></b>
</div>
<div class="authors">
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, <br />Peihao Wang, Xia Hu, and Zhangyang Wang, in TPAMI, 2022
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://proceedings.neurips.cc/paper/2021/file/654516d1b4df6917094de807156adc14-Paper.pdf"><img src="images/paper-figs/dept.png" height="150" width="180" alt="-"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="word">
<b><a href="https://proceedings.neurips.cc/paper/2021/file/654516d1b4df6917094de807156adc14-Paper.pdf">
Delayed Propagation Transformer: A Universal Computation Engine <br />towards Practical Control in Cyber-Physical Systems
</a></b>
</div>
<div class="authors">
Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, <br />Zhangyang Wang, In NeurIPS 2021.<br /><br />
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://ieeexplore.ieee.org/document/8803660?denied="><img src="images/paper-figs/icip.png" alt="AutoGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="title">
<b><a href="https://ieeexplore.ieee.org/document/8803660?denied=">
Blind Image Blur Assessment Based on Markov-Constrained FCM and<br /> Blur Entropy
</a></b>
</div>
<div class="authors">
Yaqian Xu, Wenqing Zheng, Jingchen Qi, Qi Li, 2019 IEEE International<br /> Conference on Image Processing (ICIP). IEEE, 2019: 4519-4523.<br /><br />
</div>
</div>
</div>
<div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://ieeexplore.ieee.org/document/9128612?denied="><img src="images/paper-figs/vtc.png" alt="EnlightenGAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="title">
<a href="https://ieeexplore.ieee.org/document/9128612?denied=">
5G V2X communication at millimeter wave: rate maps and use cases
</a>
</div>
<div class="authors">
W. Zheng, A. Ali, N. González-Prelcic, R. W. Heath Jr., A. Klautau, and <br />E. Moradi Pari, 2020 IEEE 91st Vehicular Technology Conference <br /> (VTC2020). IEEE, 2020: 1-5.<br /><br />
</div>
</div>
</div>
<!-- <div class="row align-items-center section-item">
<div class="col-xs-12 col-md-3 col-lg-4 col-wrapper">
<div class="figure">
<a href="https://ieeexplore.ieee.org/abstract/document/9048769?casa_token=U8BcDLYRQ0IAAAAA:5KJViLi4_INb103RU08Sq9WM9jhN4Y5pvZ9qXb4xvvvQbOHiAtJcKibRdwVOHXh5wJXvNC10jQZL"><img src="images/paper-figs/Asilomar.png" alt="PS-GAN"></a>
</div>
</div>
<div class="col-xs-12 col-md-9 col-lg-8 col-wrapper">
<div class="title">
<a href="https://ieeexplore.ieee.org/abstract/document/9048769?casa_token=U8BcDLYRQ0IAAAAA:5KJViLi4_INb103RU08Sq9WM9jhN4Y5pvZ9qXb4xvvvQbOHiAtJcKibRdwVOHXh5wJXvNC10jQZL">
Joint Position, Orientation and Channel Estimation in Hybrid <br />mmWave MIMO Systems
</a>
</div>
<div class="authors">
Wenqing Zheng, Nuria González-Prelcic, 2019 53rd Asilomar Conference<br /> on Signals, Systems, and Computers. IEEE, 2019: 1453-1458.
</div>
</div>
</div> -->
</div>
</div>
</section>
<section id="three">
<h1>Contact</h1>
<div class="col-4 col-12-small" style=" padding:2em">
<ul class="labeled-icons">
<li>
<h3 class="icon solid fa-home"><span class="label">Address</span></h3>
2501 Speedway, Austin, TX, 78712<br />
United States
</li>
<li>
<h3 class="icon solid fa-envelope"><span class="label">Email</span></h3>
<a href="mailto:[email protected]?subject=Hello%20">[email protected]</a>
</li>
</ul>
</div>
</section>
<section id="two2" >
<header class="major">
<h2>Related Links</h2>
</header>
<ul style="font-size:110%">
<li>Visual Informatics Group @ the University of Texas at Austin <a href="https://vita-group.github.io/group.html" target="_blank">VITA</a> </li>
<!-- <li>Wireless Networking & Communications Group (<a href="https://www.wncg.org" target="_blank">WNCG</a>)</li> -->
<li><a href="https://www.utexas.edu" target="_blank">The University of Texas at Austin</a> </li>
</ul>
</section>
</div>
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<!-- <a class="nav-link " href="./files/Resume_Wenqing_Zheng.pdf" target="_blank"><span>CV</span></a></li> -->
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<ul class="copyright">
<li>The University of Texas at Austin</li><li> <a href="https://vita-group.github.io/group.html" target="_blank"> VITA </a> group</li>
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