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<!DOCTYPE html>
<html lang="en">
<head>
<!-- Basic Page Needs
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<meta charset="utf-8">
<title>Zheng Wang - Shanghai Jiao Tong University</title>
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<style type="text/css">
/* .container > .docs-section{
margin-top: -60px;
} */
:target {
padding-top: 80px;
}
.jincou p {
margin-bottom: 5px;
}
#Publications p {
margin-bottom: 0.8rem;
}
#Research_Interests p {
margin-bottom: 0.8rem;
}
</style>
</head>
<body class="code-snippets-visible has-docked-nav">
<!-- Primary Page Layout
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<div class="container">
<section class="header" style="margin-top:8rem;">
<div class="row">
<div class="four columns">
<img class="value-img" src="img/me.jpg" height="208px" width="180px" alt="头像">
</div>
<div class="seven columns" align="left">
<br />
<h4>Zheng Wang 王铮</h4>
<p>I am an associate professor at Shanghai Jiao Tong University. My research interest is in data mining and database.
I received my PhD degree from Tsinghua University, where I was co-advised by Prof. <a class="dhtgD"
href="https://www.thss.tsinghua.edu.cn/publish/soften/3131/2010/20101219111626359565665/20101219111626359565665_.html"
target="_blank">Xiaojun Ye</a> and Prof.
<a class="dhtgD" href="http://ise.thss.tsinghua.edu.cn/~wangchaokun/" target="_blank">Chaokun Wang</a>.
Before that, I obtained my bachelor degree from Beijing Jiaotong University.
<br />
Email: wzheng[AATT]sjtu[dot]edu[dot]cn.
<br />
</div>
</div>
<div align="left">
<br />
<p>
<b style="color: red;">*New </b> Now, we can classify the nodes from those classes that have never been seen, see our <a href="https://github.com/zhengwang100/RECT"> KDD21 paper</a>.<br>
<b style="color: red;">*New </b> Our method <a href="https://github.com/zhengwang100/RECT">RECT [TKDE20]</a> has been officially
recommended in the famous GNN libraries <a href="https://github.com/dmlc/dgl/tree/master/examples/pytorch/rect">DGL</a> and <a href="https://github.com/rusty1s/pytorch_geometric/blob/master/examples/rect.py">PyG</a>.<br>
<b style="color: red;">*New </b> Tutorial on Zero-shot Graph Embedding given in International Young Scholars Forum at RUC is avaliable [<a class="dhtgD" href="pdf/ZGE_tutorial_release.pdf" target="_blank">slides</a>].<br>
</p>
</div>
</section>
<nav class="navbar">
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<div class="container">
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<ul class="navbar-list">
<li class="navbar-item"><a class="navbar-link" href="#" style="margin-left:20px">Home</a></li>
<!-- <li class="navbar-item"><a class="navbar-link" href="#Research Interest">Research Interest</a></li> -->
<li class="navbar-item"><a class="navbar-link" href="#Project">Projects</a></li>
<li class="navbar-item"><a class="navbar-link" href="#Publications">Publications</a></li>
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<!-- <li class="navbar-item"><a class="navbar-link" href="#Students" style="margin-right:0px;">Students</a></li> -->
<li class="navbar-item"><a class="navbar-link" href="#Students">Students</a></li>
<li class="navbar-item"><a class="navbar-link" href="#Professional Services">Professional Services</a></li>
</ul>
</div>
</nav>
<div class="docs-section" id="Research_Interest" style="margin-top:-4rem;">
<h3 class="docs-header">Research Interest</h3>
1) Data mining: social network analysis, graph nerual networks, and deep learning.
<br />
2) Database management systems: fast-reliable architectures, and large-scale transaction processing systems.
<p style="color: #154c79;"> <b>For students: </b> “Data” is the center of my research. If you are interested in designing/implementing <b>meaningful, simple, and robust </b> data management systems/tools, welcome to contact me.
</p>
</div>
<div class="docs-section" id="Project">
<h3 class="docs-header">Research Project</h3>
<div class="row example">
<a class="example-screenshot-wrapper" target="_blank" href="project/zero_shot_graph_embedding.html">
<img class="grayscale" src="img/zsge.png">
</a>
<div class="one-half offset-by-one-half column">
<p class="example-description"><strong>Zero-shot Graph Embedding (ZGE)</strong> refers to the process of learning discriminative graph embeddings when labeled data cannot cover all classes.</p>
<a class="button" href="project/zero_shot_graph_embedding.html" target="_blank">
<font color="#819a3b">DETAIL</font> </a>
</div>
</div>
</div>
<div class="docs-section" id="Publications">
<h3 class="docs-header">Selected Publications</h3>
<ul>
<li><strong>Zheng Wang</strong>, Jialong Wang, Yuchen Guo, and Zhiguo Gong. Zero-shot Node Classification with Decomposed Graph Prototype Network. (<strong>CCF-A</strong>, <strong>KDD 2021</strong>) [<a class="dhtgD" href="https://arxiv.org/abs/2106.08022"
target="_blank">PDF</a>, <a class="dhtgD" href="https://github.com/zhengwang100/dgpn" target="_blank">CODE</a>, <a class="dhtgD" href="pdf/2021/kdd2021_znc_slides.pdf" target="_blank">Slides</a>].
</li>
<li><strong>Zheng Wang</strong>, Xiaojun Ye, Chaokun Wang, Jian Cui, and Philip S. Yu. Network Embedding with Completely-imbalanced Labels. (<strong>CCF-A</strong>, <strong>TKDE 2020</strong>) [<a class="dhtgD" href="pdf/TKDE20_wzheng.pdf"
target="_blank">PDF</a>, <a class="dhtgD" href="https://github.com/zhengwang100/RECT" target="_blank">CODE</a>, <a class="dhtgD" href="https://github.com/dmlc/dgl/tree/master/examples/pytorch/rect" target="_blank">Included in DGL</a>, <a class="dhtgD" href="https://www.jiqizhixin.com/articles/2020-04-10-2" target="_blank">News report</a>].
</li>
<li>Changping Wang, Chaokun Wang, <strong>Zheng Wang</strong>, Xiaojun Ye and Philip S. Yu. Edge2vec: Edge-based Social Network Embedding. (<strong>CCF-B</strong>, <strong>TKDD 2020</strong>) [<a class="dhtgD" href="pdf/edge2vec_tkdd_accepted2020.pdf" target="_blank">PDF</a>].
</li>
<li><strong>Zheng Wang</strong>, Xiaojun Ye, Chaokun Wang, and Philip S. Yu. Feature Selection via Transferring
Knowledge Across
Different
Classes. (<strong>CCF-B</strong>, <strong>TKDD 2019</strong>) [<a class="dhtgD" href="pdf/2019/TKDD19_FSvTKADC.pdf"
target="_blank">PDF</a>].</li>
<li>Chaokun Wang, Changping Wang, <strong>Zheng Wang</strong>, Xiaojun Ye, and etc. DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding. ((Extended Abstract). <strong>ICDE</strong> 2019).
</li>
<li>Yuchen Guo, and etc., <strong>Zheng Wang</strong>. Dual-view Ranking with Hardness Assessment for Zero-shot
Learning. (<strong>CCF-A</strong>,
<strong>AAAI 2019</strong>,
Accepted).
</li>
<li>Chaokun Wang, Changping Wang, <strong>Zheng Wang</strong>, Xiaojun Ye, and etc. DeepDirect: Learning
Directions
of Social Ties
with
Edge-based Network Embedding. (<strong>CCF-A</strong>, <strong>TKDE 2018</strong>) [<a class="dhtgD" href="pdf/2018/TKDE18_DLDoST.pdf"
target="_blank">PDF</a>].
</li>
<li><strong>Zheng Wang</strong>, Xiaojun Ye, Chaokun Wang, Yuexin Wu, etc. RSDNE: Exploring Relaxed Similarity
and
Dissimilarity
from
Completely-imbalanced Labels for Network Embedding. (<strong>CCF-A</strong>, <strong>AAAI 2018</strong>) [<a class="dhtgD"
href="pdf/2018/AAAI18_RSDNE.pdf" target="_blank">PDF</a>, <a class="dhtgD"
href="https://github.com/zhengwang100/RSDNE" target="_blank">CODE-matlab</a>, <a class="dhtgD"
href="https://github.com/zhengwang100/RSDNE-python" target="_blank">CODE-python</a>].
</li>
<li><strong>Zheng Wang</strong>, Chaokun Wang, Jisheng Pei, Xiaojun Ye. Multiple Source Detection without
Knowing
the Underlying
Propagation
Model. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (<strong>CCF-A</strong>, <strong>AAAI 2017</strong>) [<a
class="dhtgD" href="pdf/before_2018/AAAI17_MSDwKtUPM.pdf" target="_blank">PDF</a>].
</li>
<li><strong>Zheng Wang</strong>, Chaokun Wang, Jisheng Pei, Xiaojun Ye and Philip S. Yu: Causality Based
Propagation History Ranking
in
Social Networks. (<strong>CCF-A</strong>, <strong>IJCAI 2016</strong>) [<a class="dhtgD" href="pdf/before_2018/IJCAI16_CBPHRiSN.pdf"
target="_blank">PDF</a>].
</li>
</ul>
</div>
<div class="docs-section jincou" id="Students">
<h3 class="docs-header">Students</h3>
<p>*2020-now: Jialong Wang (PhD, UM)</p>
<p>*2019-2021: Hongming Ding, Chengzuo Hu, and Ruihang Shao (graduate, USTB)</p>
<p>*2018-2020: Jian Cui, Yingying Chen (graduate, USTB)</p>
</div>
<div class="docs-section" id="Professional Services">
<h3 class="docs-header">Professional Services</h3>
<p>Reviewer for TKDE, TKDD, AAAI, IJCAI, etc.</p>
</div>
</div>
<script>
</script>
</body>
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