• I am a Research Fellow in the Institute of Data Science (IDS) in National University of Singapore working with Prof. Bryan Hooi and Prof. See-Kiong NG.

• I received my Ph.D. in Computer Science from the Institute of Computing Techonogy at Chinese Academic of Sciences, where I was advised by Prof. Xueqi Cheng and worked with Prof. Shenghua Liu. I received my Bachelor’s Degree in Computer Science and Technology at Beijing Jiao Tong University.

• [Curriculum Vitae] and [Google Scholar]

My research interests include:

• Machine Learning & Graph learning
• Trustworthy & Interpretable AI
• Large-scale graph mining & Data mining
• Anomaly detection
• Social network analysis

What’s New

• Our paper “Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering” is accepted to ICML 2023
• Our paper “Unified Dense Subgraph Detection: Fast Spectral Theory based Algorithms” is accepted to IEEE TKDE.
• March 2023, Our demo & poster paper, “EasySpider: Visual Code-Free Web Crawler/Spider” is accepted to The WebConf 2023. Welcome to try our user-friendly tool EasySpider, which also contains detailed instructions for use.
• Our paper “Hierarchical Dense Pattern Detection in Tensors” is accepted to TKDD.
• Our paper “Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation” is accepted to TMLR.
• October 2021, Our paper “MonLAD: Money Laundering Agents Detection in Transaction Streams” is accepted to WSDM 2022.
• August 2021, Our paper “AdaRNN: Adaptive Learning and Forecasting of Time Series” is accepted to CIKM 2022.
• November 2020 - Now, I join the IDS NUS as a Research Fellow.
• September 14 - September 18, 2020. I attend the ECML PKDD 2020 virtual conference.
• August 29, 2020, Our paper “SpecGreedy: Unified Dense Subgraph Detection” has been selected as the Best Student DM paper award for ECML-PKDD 2020.

Last updated on March 8, 2023.