[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.