
Bio
I will join VISA Research as full-time research scientist in Summer 2022 and will be working on graph mining and its application in trust&safety domain.
I am currently a fifth-year CS Ph.D. student in Big Data and Social Computing (BDSC) Lab at University of Illinois at Chicago. My advisor is Prof. Philip S. Yu. Before joining UIC, I received my B.E. from Beijing University of Posts and Telecommunications in 2017. My research interests are Graph Mining, Fraud Detection, and Secure Machine Learning.








News
[05/2022] Be invited to serve as a PC member for CIKM 2022.
[04/2022] Be invited to serve as a PC member for CySoc@ICWSM 2022.
[04/2022] Release a Python Library for Graph Outlier Detection (PyGOD).
[04/2022] Received the Papers with Code Contributor Award from Papers With Code.
[03/2022] Be invited to serve as the Video Conference Chair for TheWebConference 2022.
[03/2022] Give a talk at IIT for event and misinformation detection on Twitter [Slides PDF].
[02/2022] I will join VISA Research as a full-time staff research scientist this summer.
[12/2021] Our fraud dataset has become a benchmark on PaperWithCode.
[12/2021] Be invited to serve as a PC member for CONSTRAINT@ACL 2022.
[11/2021] Be invited to serve as a PC member for KDD 2022.
[11/2021] Be invited to serve as the Whova Chair for WSDM 2022, e-meet you in 02/2022!
[10/2021] One paper collaborated with Grab has been accepted by IEEE BigData.
[10/2021] Our Cross-lingual COVID-19 fake news dataset has been accepted by ICDMW.
[10/2021] Give a talk about GNN-based fraud detection at Datafun Summit.
[09/2021] Be invited to serve as a PC member for SDM 2022.
[08/2021] The CARE-GNN model proposed by us has been integrated with DGL.
[08/2021] Be invited to serve as a PC member for WSDM 2022.
[07/2021] Be invited to serve as a PC member for IJCAI 2022-2024.
[06/2021] Start the summer intern at Snap Research.
[05/2021] Our fake news dataset has been added to PyG and DGL as a graph classification benchmark.
[05/2021] Our GNN-based Fraud Detection toolbox DGFraud-TF2 has upgraded to TensorFlow 2.0.
[05/2021] Give two talks at F5 Security and Grab Inc. (Slides PDF).
[05/2021] Be invited to serve as a PC member for ASONAM 2021.
[05/2021] Release a GNN-based Fake News Detection Repo with two news propagation graph datasets.
[04/2021] Two papers are accepted by SIGIR 2021.
[04/2021] One paper is accepted by IEEE TKDE.
[01/2021] One paper is accepted by The Web Conference 2021.
[12/2020] I will join the CSS Team @Snap Research as a research intern in Summer 2021.
[10/2020] Be invited to serve as PC members for AAAI-21 and IJCAI-21.
[08/2020] We release an Unsupervised Graph-based Fraud Detection Toolbox.
[07/2020] One paper is accepted by CIKM 2020.
[05/2020] One paper is accepted by KDD 2020.
[05/2020] We release a Deep Graph-based Fraud Detection Toolbox.
[04/2020] One paper is accepted by SIGIR 2020.
[07/2019] One paper was accepted to ASONAM 2019.
[01/2019] Move my personal website from Wordpress to Github.
[01/2019] Give a talk about graph based spammer detection at Tencent.
[05/2018] Start summer intern at the Search and Recommendation Group of Huawei Noah’s Ark Lab.
[02/2018] Publish a dataset with Chinese O2O service Wechat lucky package sharing log.
[10/2017] An article is published on IEEE Access.
[08/2017] Start my Ph.D. at the University of Illinois at Chicago.
[06/2017] Graduate from BUPT and QMUL with the Beijing Excellent Graduate prize.
[04/2017] Decide to join the BDSC Lab at UIC under the supervision of Prof. Philip Yu.
[03/2017] Join D-Lab in the Institute for Data Science of Tsinghua University as a research volunteer.
[09/2016] A paper is accepted by the 2nd workshop of EMGIS in 2016 ACM SIGSPATIAL.
[08/2016] Attend KDD 2016 at San Francisco.
[07/2016] Start summer intern at UIC Big Data and Social Computing Lab.
[06/2016] Attend ICDSC 2016 in Changsha, China.
Talks and Blogs
[Talk] Mining Twitter for Social Event and Misinformation Detection (Slides PDF).[Talk] An introduction to GNN-based fraud detection (Slides PDF).[Talk] Give two talks at F5 Security and Grab Inc. (Slides PDF).[Blog] Tackling Fake Downloads in Mobile App Markets.Preprints
PyGOD: A Python Library for Graph Outlier Detection. Kay Liu, Yingtong Dou, Yue Zhao et al.
Preprint. Apr. 2022.
[Paper][Code][BibTeX]
Adversarial Attack and Defense on Graph Data: A Survey. Lichao Sun, Yingtong Dou, Carl Yang, Ji Wang, Philip S. Yu, Lifang He, Bo Li.
Under Review. Dec. 2018 (Updated in Jul. 2020).
[Paper][Paper List][BibTeX]
Selected Publications
Deep Fraud Detection on Non-attributed Graph. Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu.
IEEE BigData. 2021.
[Paper][BibTeX]
User Preference-aware Fake News Detection. Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun.
ACM SIGIR. 2021. (Trending New Datasets for 2021)
[Paper][Code][Slides][Video][PyG Example][DGL Example][Data][Chinese Blog][BibTeX]
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu.
ACM CIKM. 2020. (Top 15 Influential Papers at CIKM’20)
[Paper][Code][Slides][DGL Example][BibTeX]
Robust Spammer Detection by Nash Reinforcement Learning. Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie.
ACM SIGKDD. 2020.
[Paper][Code][Slides][Video][Chinese Blog][BibTeX]
(All publications)