I will join Visa Research as a 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 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.
[06/2022] Release a benchmark for node outlier detection on graphs.
[06/2022] Be invited to serve as a reviewer for LoG 2022.
[06/2022] Be invited to serve as a reviewer for NeurIPS 2022.
[05/2022] Be invited to serve as a PC member for ASONAM 2022.
[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 at IIT, Chicago.[Talk] GNN-based Fraud Detection: from Research to Application at Datafun Summit.[Talk] Robust Fraud Detection against Adversarial Fraudsters at F5 Security and Grab Inc.[Blog] Tackling Fake Downloads in Mobile App Markets at Medium.[Talk] An Introduction to Graph-based Spam Review Detection. at Tencent.
PreprintsBenchmarking Node Outlier Detection on Graphs.
Kay Liu*, Yingtong Dou*, Yue Zhao* et al.PyGOD: A Python Library for Graph Outlier Detection.
Preprint. Jun. 2022.
Kay Liu*, Yingtong Dou*, Yue Zhao* et al.Adversarial Attack and Defense on Graph Data: A Survey.
Preprint. Apr. 2022.
Lichao Sun, Yingtong Dou, Carl Yang, Ji Wang, Philip S. Yu, Lifang He, Bo Li.
Under Review. Dec. 2018 (Updated in Jul. 2020).
Selected PublicationsDeep Fraud Detection on Non-attributed Graph.
Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu.User Preference-aware Fake News Detection.
IEEE BigData. 2021.
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun.Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.
ACM SIGIR. 2021. (Trending New Datasets for 2021)
[Paper][Code][Slides][Video][PyG Example][DGL Example][Data][Chinese Blog][BibTeX]
Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu.Robust Spammer Detection by Nash Reinforcement Learning.
ACM CIKM. 2020. (Top 10 Influential Papers at CIKM’20)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie.
ACM SIGKDD. 2020.