Bio
I am a research scientist at Visa Research. As a member of the Foundational AI team led by Dr. Mahashweta Das, I am currently working on payment foundation models and deep learning for advanced authentication. My research interests include graph mining, anomaly detection, and deep learning for tabular data.
Prior to joining Visa, I obtained my Ph.D. in Computer Science at University of Illinois Chicago in 2022, advised by Prof. Philip S. Yu. My Ph.D. dissertation is “Robust Graph Learning for Misbehavior Detection” [PDF]. Before attending UIC, I received my B.E. from Beijing University of Posts and Telecommunications in 2017.
News
[05/2024] Be invited to serve as a PC member for MLF@KDD'24.
[05/2024] Be invited to serve as a PC member for NeurIPS'24.
[04/2024] Our PyGOD Package is accepted by JMLR MLOSS Track.
[03/2024] Our neural network for transactional data (TransNet) is released as defensive publication.
[02/2024] Be invited to serve as a PC member for CySoc@ICWSM'24.
[01/2024] Be invited to serve as a PC member for KDD 2024.
[07/2023] Our TheWebConf'23 paper is featured on Montreal AI Ethics Institute.
[06/2023] Be invited to serve as a PC member for GML4Rec@ICDM'23.
[06/2023] Be invited to serve as a PC member for MLF@KDD'23.
[04/2023] Be invited to serve as a PC member for NeurIPS 2023.
[02/2023] Be invited to serve as a PC member for ECML-PKDD 2023.
[02/2023] One paper is accepted by TheWebConf 2023.
[01/2023] Be invited to serve as a PC member for SIGIR 2023.
[12/2022] Join Visa Research as a full-time research scientist.
[12/2022] Be invited to serve as a PC member for KDD 2023.
[12/2022] Be invited to serve as a PC member for IJCAI 2023.
[12/2022] Our TOIS paper is the most-cited TOIS paper in 2022.
[12/2022] Give a talk about GNN-based Fraud Detection at Wells Fargo.
[10/2022] Our paper has been selected as the best paper honorable mention at CIKM 2022.
[10/2022] Be invited to serve as a PC member for TheWebConf 2023.
[10/2022] I successfully defended my Ph.D. dissertation!
[09/2022] Be invited to serve as a PC member for SDM 2023.
[09/2022] Our node outlier detection benchmark is accepted by NeurIPS 2022.
[09/2022] My blog about GNN-based anomaly detection is featured on TigerGraph Blog.
[08/2022] Our graph attack&defense survey is accepted by IEEE TKDE.
[08/2022] Give a talk about GNN-based Anomaly Detection at Novartis Data Science Seminar.
[08/2022] Give a talk about GNN-based Financial Fraud Detection at Machine Learning in Finance Workshop@KDD'22.
[08/2022] One paper is accepted by CIKM 2022.
[08/2022] Be invited to serve as a PC member for AAAI 2023.
[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] GNN-based Fraud Detection: from Research to Application at Wells Fargo.[Blog] Graph Neural Network-based Graph Outlier Detection: A Brief Introduction at TigerGraph Blog.[Talk] GNN-based Anomaly Detection: from Research to Application at Novartis Data Science Seminar.[Talk] Leveraging GNNs for Financial Fraud Detection: Practices and Challenges at KDD 2022, Washington DC.[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.Selected Publications
PyGOD: A Python Library for Graph Outlier Detection. Kay Liu*, Yingtong Dou* et al.
JMLR 2024.
[Paper][Code][BibTeX]
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. Kay Liu*, Yingtong Dou*, Yue Zhao* et al.
NeurIPS 2022.
[Paper][Code][Chinese Blog][BibTeX]
Automating DBSCAN via Deep Reinforcement Learning. Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu.
ACM CIKM. 2022. (Best Paper Honorable Mention)
[Paper][Code][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 10 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)