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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html lang="en-US">
<head>
<meta charset="utf-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<title>Ting Bai - Renmin Univ. Of China</title>
<meta name="description"
content="Ting Bai's Homepage" />
<meta name="author" content="Ting Bai (白婷)"/>
<meta name="keywords"
content="Ting Bai, 白婷, Beijing University of Posts and Telecommunications, 北京邮电大学">
<meta name="HandheldFriendly" content="True" />
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<ul class="nav">
<li><a href="#" onclick="scrollTo('#About');">白婷</a></li>
<li><a href="#" onclick="scrollTo('#Publications');">论文发表</a></li>
<li><a href="#" onclick="scrollTo('#Awards');">奖项</a></li>
<li><a target="_blank" href=" ">简历</a></li>
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<h2> 欢迎访问<b>白婷</b>的个人主页</h2>
<h7 style="font-size: 20px">面朝大海,春暖花开</h7>
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<div class="span12" id="About">
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<h3 class="title">
<strong>关于我</strong>
</h3>
<div class="content community">
<div style="float:left; margin-right: 50px">
<img src='images/tingbai_new.jpg' style="width: 150px" />
<p class="text-center";style="font-size:75px">白婷</p>
<p class="text-center">baiting AT bupt.edu.cn</p>
</div>
<p>
北京邮电大学计算机学院<strong> 副教授,硕士生导师 </strong>。于2019年6月于中国人民大学获得博士学位, 师从信息检索专家 <a style="color: #04B4AE"; href="http://info.ruc.edu.cn/academic_professor.php?teacher_id=64"> <I>文继荣 </I> </a> 教授 和 <a style="color: #04B4AE"; href=bing"https://scholar.google.com/citations?user=JNhNacoAAAAJ&hl=zh-CN"><I>赵鑫</I> </a> 教授。研究方向是 <strong>个性化推荐系统,数据挖掘</Strong>。
2017-2018年在加拿大蒙特利尔大学交换学习, 师从信息检索著名学者 <a style="color: #04B4AE"; href="http://rali.iro.umontreal.ca/nie/jian-yun-nie-en/"><I>聂建云 </I></a>教授。
在国际重要会议与期刊发表论文三十余篇,其中有两篇一作论文获得国际会议CIKM, KDD-DLP <strong>最佳论文/最佳论文候选奖 </strong>。长期担任国际期刊、会议TKDE, WWW, KDD, SIGIR、AAAI, IJCAI, WSDM, CIKM等审稿人。出版教材《网络科学与计算》、学术专著《知识图谱》。受邀担任国内外会议IEEE ICDM,IEEE ICKG, SIGIR-AP, CCIR领域主席。科研成果获评 中国中文信息学会 <strong>“优秀博士论文奖” </strong>,中国电子学会 <strong>“科技进步一等奖” </strong>,百度首届 <strong>“全球AI华人女性青年学者” </strong>。
</p>
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<div class="span12" id="Professional Activities">
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<h3 class="title"><strong>学术任职</strong></h3>
<div class="content community">
<blockquote>
<h5>
担任 <strong>IEEE ICDM </strong> Publicity Chair (2020)
</h5>
</blockquote>
<blockquote>
<h5>
担任 <strong>IEEE ICKG </strong> Publicity Chair (2022)
</h5>
</blockquote>
<blockquote>
<h5>
担任 <strong>SIGIR-AP </strong> Publicity Chair (2023)
</h5>
</blockquote>
<blockquote>
<h5>
担任 <strong>CCIR </strong> Publicity Chair (2023)
</h5>
</blockquote>
</div>
</div>
<!-- end tag cloud widget -->
</div>
<div class="span12" id="Publications">
<div class="widget">
<h3 class="title">
<strong>论文发表</strong>
</h3>
<div class="content community">
<blockquote>
<h5>
<strong> <span class="label label-default"> IPM'2024 </span>
GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems. </strong>
[<a href="pub/IPM 2024.pdf">Paper</a>]
</h5>
<h5>
<li><em> <strong>Ting Bai</strong>, Xiaotong Wang, Zhenhao Zhang, Wei Song, Bin Wu, Jian-Yun Nie </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> CIKM'2023 </span>
Targeted Shilling Attacks on GNN-based Recommender Systems. </strong>
[<a href="pub/CIKM 2023.pdf">Paper</a>]
</h5>
<h5>
<li><em> Sihan Guo, <strong>Ting Bai</strong>, Weihong Deng </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> SIGIR'2023 </span>
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. </strong>
[<a href="pub/SIGIR 2023.pdf">Paper</a>]
</h5>
<h5>
<li><em> Zhen Tian, <strong>Ting Bai</strong>, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> WSDM'2023 </span>
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. </strong>
[<a href="pub/WSDM2023.pdf">Paper</a>]
</h5>
<h5>
<li><em> Zhen Tian, <strong>Ting Bai </strong>, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> AI Open'2023 </span>
Information Retrieval Meets Large Language Models: a Strategic Report from Chinese IR Community. </strong>
[<a href="pub/OPENAI2023.pdf">Paper</a>]
</h5>
<h5>
<li><em> Qingyao Ai, <strong>Ting Bai </strong>, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> FCS'2023 </span>
A Graph-based Contrastive Learning Framework for Medicare Insurance Fraud Detection. </strong>
[<a href="pub/FCS 2023.pdf">Paper</a>]
</h5>
<h5>
<li><em> Song Xiao, <strong>Ting Bai</strong>, Xiangchong Cui, Bin Wu, Xinkai Meng, Bai Wang </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> EMNLP'22</span>
A Multi-Modal Knowledge Graph for Classical Chinese Poetry. </strong>
[<a href="pub/emnlp22.pdf">Paper</a>]
</h5>
<h5>
<li><em> Fangtao Li,<strong>Ting Bai</strong> ,Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> WWW'22</span>
A Contrastive Sharing Model for Multi-Task Recommendation. </strong>
[<a href="pub/www22.pdf">Paper</a>]
</h5>
<h5>
<li><em> <strong>Ting Bai</strong>, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> DASFAA'22</span>
Learning Social Influence from Network Structure for Recommender Systems. </strong>
[<a href="pub/dasfaa_1.pdf">Paper</a>]
</h5>
<h5>
<li><em> <strong>Ting Bai</strong> , Yanlong Huang, Bin Wu </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> DASFAA'22</span>
Semi-Supervised Graph Learning with Few Labeled Nodes. </strong>
[<a href="pub/dasfaa22_2.pdf">Paper</a>]
</h5>
<h5>
<li><em> Cong Zhang, <strong>Ting Bai</strong>, Bin Wu </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> ICMR'21</span>
Relation-aware Hierarchical Attention Framework for Video Question Answering. </strong>
[<a href="pub/icmr21.pdf">Paper</a>]
</h5>
<h5>
<li><em> Fangtao Li,<strong>Ting Bai</strong> ,Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> 计算机学报'21</span>
基于图像和视频信息的社交关系理解研究综述. </strong>
[<a href="pub/computer21.pdf">Paper</a>]
</h5>
<h5>
<li><em> 王正, 吴斌,王文哲,滕一阳,帅杰,肖云鹏 <strong>白婷</strong> </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> IEEE Big Data'21</span>
Temporal Graph Neural Networks for Social Recommendation. </strong>
[<a href="pub/bigdata21.pdf">Paper</a>]
</h5>
<h5>
<li><em> <strong>Ting Bai</strong> ,Youjie Zhang, Bin Wu, Jian-Yun Nie</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> KSEM'21</span>
A Time Interval Aware Approach for Session-Based Social Recommendation. </strong>
[<a href="pub/ksem21.pdf">Paper</a>]
</h5>
<h5>
<li><em> Youjie Zhang,<strong>Ting Bai</strong> ,Bin Wu, Bai Wang</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> WWW'20</span>
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. </strong>
[<a href="pub/www20.pdf">Paper</a>]
</h5>
<h5>
<li><em> Kai Zhao*,<strong>Ting Bai*</strong> , Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang and Jian-Yun Nie</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> 计算机研究与发展'20</span>
古诗词图谱的构建及分析研究. </strong>
[<a href="pub/yanjiu20">Paper</a>]
</h5>
<h5>
<li><em> 刘昱彤,吴斌, <strong>白婷 </strong> </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">WSDM'20</span>
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. </strong>
[<a href="pub/wsdm20.pdf">Paper</a>]
</h5>
<h5>
<li><em> Lixin Zou,Long Xia, Pan Du, Zhuo Zhang, <strong>Ting Bai</strong>, Weidong Liu, Jian-Yun Nie, Dawei Yin.</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">KDD Workshop'19</span>
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. </strong>
[<a> <strong> Best Paper Award</strong></a>]
[<a href="pub/kdd19.pdf">Paper</a>]
</h5>
<h5>
<li><em> Yanru Qu,<strong>Ting Bai* (Co-First Author)</strong>, Weinan Zhang, Jianyun Nie and Jian Tang.</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">SIGIR'19</span>
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation</strong>
[<a href="pub/sigir19.pdf">Paper</a>]
</h5>
<h5>
<li><em> <strong>Ting Bai</strong>, Lixin Zou, Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie and Ji-Rong Wen</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">CIKM'19</span>
News Graph: An Enhanced Knowledge Graph for News Recommendation. </strong>
[<a href="pub/cikm19.pdf">Paper</a>]
</h5>
<h5>
<li><em> Danyang Liu,<strong>Ting Bai* (Corresponding Author)</strong>, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie.</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default"> NAACL'19</span>
SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
</strong>
[<a href="naacl19.pdf">Paper</a>]
</h5>
<h5>
<li> <em> Peng Lu,<strong>Ting Bai* (Co-First Author)</strong>, Philippe Langlais </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">SIGIR'18</span>
An Attribute-aware Neural Attentive Model for Next Basket Recommendation</strong>
[<a href="pub/SIGIR.pdf">Paper</a>]
[<a href="https://github.com/Tbbaby/sigir18-ANAM">Code</a>]
[<a href="pub/SIGIR.pptx">Poster</a>]
</h5>
<h5>
<li><em> <strong>Ting Bai</strong>, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">TKDE'18</span>
Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites</strong>
[<a href="pub/TKDE.pdf">Paper</a>]
[<a href="pub/TKDE.pptx">Slides</a>]
</h5>
<h5>
<li><em><strong>Ting Bai</strong>, Wayne Xin Zhao, Yulan He, Ji-Rong Wen</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">AIRS'18</span>
A Neural Labeled Network Embedding Approach to Product Adopter Prediction</strong>
</h5>
<h5>
<li><em>Qi Gu,<strong>Ting Bai</strong>, Wayne Xin Zhao,Ji-Rong Wen</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">CIKM'17</span>
A Neural Collaborative Filtering Model with Interaction-based Neighborhood</strong>
[<a> <strong> Best Short Paper Runner-up Award</strong></a>]
[<a href="pub/CIKM.pdf">Paper</a>]
[<a href="https://github.com/Tbbaby/NNCF-Pytorch">Code(Pytorch)</a>]
[<a href="https://github.com/Tbbaby/NNCF">(Keras)</a>]
[<a href="pub/CIKM.pptx">Slides</a>]
</h5>
<h5>
<li><em><strong>Ting Bai</strong>, Wayne Xin Zhao, Jun Zhang, Ji-Rong Wen</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">JCST'17 </span>
An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data</strong>
[<a href="pub/JCST.pdf">Paper</a>]
</h5>
<h5>
<li><em><strong>Ting Bai</strong>, Hongjian Dou, Wayne Xin Zhao, Ji-Rong Wen</em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">Journal of Chinese Processing'17</span> Connecting Social Media to E-commerce: Long-tail Purchase Behaviors using Multiple Additive Regression Tree (Chinese) </strong>
</h5>
<h5>
<li><em><strong>Ting Bai</strong>, Ji-Rong Wen, Wayne Xin Zhao, Bohua Yang </em></li>
</h5>
</blockquote>
<blockquote>
<h5>
<strong> <span class="label label-default">CCF BIG DATA'15</span>
Leveraging Online Social Media Information for Predicting the Long-tail Purchase Behaviors</strong>
[<a> <strong>Best Paper Runner-up Award </strong> </a>][<a href=" ">Paper</a>]
</h5>
<h5>
<li><em><strong>Ting Bai, </strong> Bohua Yang, Wayne Xin Zhao, Ji-Rong Wen</em></li>
</h5>
</blockquote>
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<div class="span12" id="Awards">
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<h3 class="title"><strong>奖项</strong></h3>
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<blockquote>
<h5>
<span class="label label-default">2023</span> 百度首届 “全球AI华人女性青年学者”
</h5>
</blockquote>
<blockquote>
<h5>
<span class="label label-default">2023</span>中国电子学会 “科技进步一等奖”
</h5>
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<blockquote>
<h5>
<span class="label label-default">2020</span> 中国中文信息学会“优秀博士学位论文奖”
</h5>
</blockquote>
<blockquote>
<h5>
<span class="label label-default">2019</span> KDD Workshop Best Paper Award
</h5>
</blockquote>
<blockquote>
<h5>
<span class="label label-default">2017</span> CIKM Best Short Paper Runner Up Award
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<h5>
<span class="label label-default">2015</span> CCF BigData 最佳论文候选
</h5>
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<h5>
<span class="label label-default">2018</span> 加拿大魁北克省政府奖学金
</h5>
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<h5>
<span class="label label-default">2015, 2017,2018</span> 博士生国家奖学金
</h5>
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<h5>
<span class="label label-default">2016, 2017,2018</span>
连续三年入选中国人民大学拔尖人才计划
</h5>
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<h5>
<span class="label label-default">2016,2018</span>
中国人民大学三好学生,优秀研究生
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<h5>
<span class="label label-default">2014</span> 宝钢优秀学生奖学金,<strong>5/38700</strong>.
</h5>
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<blockquote>
<h5>
<span class="label label-default">2013</span>
全国信息技术应用水平大赛 全国一等奖
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<p class="text-center";align="left"> 关注大语言模型在推荐系统中的应用,电商用户行为分析建模和应用,欢迎关注我的博客,欢迎交流讨论 </p>
<p class="text-center";align="left">电子邮箱:baiting AT bupt.edu.cn </p>
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