[2022.08] Our research on FedGraph was selected to be funded by Amazon Research Awards.
[2022.08] Congratulations to FederatedScope-GNN on winning the ADS Best Paper Award of KDD 2022, and many thanks for the detailed featuring and integration of our FedSage and GCFL as the most representative FGL models in the platform.
[2022.07] It was a great pleasure to serve as a mentor on our NSF REU/RET site in Computational Mathematics for Data Science at Emory this summer. Here goes a cute video made by my mentees and also check out their poster and webpage!
[2022.06] We will be organizing the 1st International Workshop on Federated Learning with Graph Data (FedGraph2022), at ACM CIKM 2022, in Atlanta Georgia this October. Various types of submissions are welcomed!
[2022.05] Our four papers got accepted by KDD 2022, all of which are based on our recent progress in healthcare and neuroscience informatics-- we have successfully applied modern graph learning techniques to electronic health records, mobile health data, brain imaging, and SEEG data. One of them was honored to receive the Best Paper Award of Health Day (3 in total). Congratulations, team!
[2022.04] We will be organizing the 1st International Workshop on Neural Network Models for Brain Connectome Analysis (BrainNN2022), at IEEE BigData 2022, in Osaka Japan this December. Various types of submissions are welcomed!
[2022.03] Our benchmark paper on GNNs for brain network analysis can be accessed on arXiv and the benchmark website is also fully available!
[2021.09] Our four papers got accepted by NeurIPS 2021. Three of them were under my supervision-- FedSage (subgraph-level federated learning), GCFL (graph-level federated learning) and EGI (GNN transferability). FedSage was selected for a spotlight presentation (3%). Great work, team!
[2021.04] Our three papers on graph neural networks (secure graph generation, embedding dimension selection and robust neighborhood aggregation) have been accepted by IJCAI 2021.
[2020.12] Our survey and benchmark paper on heterogeneous network representation learning has been accepted by IEEE TKDE. All code and data are available at https://github.com/yangji9181/HNE.
[2020.10] I am honored to receive the Best Paper Award from ICDM 2020! (1 out from 930 submissions and 91 acceptances)
[2020.05] Our work in collaboration with researchers in Pinterest and Stanford on web-scale contextualized graph neural networks has been accepted by KDD 2020 ADS track (oral 5.8%).
[2020.05] I am honored to receive the UIUC 2020 Doctoral Dissertation Completion Fellowship ($20,000), which is awarded to 20 candidates (from 20 departments) out from 74 nominations (from 48 departments) across the whole university.
[2020.05] I will be joining Emory University Dept. of Computer Science as a Tenure-Track Assistant Professor in September this year. Cor prudentis possidebit scientiam!
[2020.04] I am visiting University of Oxford and collaborating with Prof. Thomas Lukasiewicz and his team on structured information extraction from multi-media data this summer.
[2020.02] I will deliver research talks in Northwestern University, Simon Fraser University, University of British Columbia, Emory University, University of Florida and University of Sydney.
[2020.01] I am visiting my alma mater, Zhejiang University, for the first time after my graduation five years ago.
[2019.09] I will give a talk in the Great Lakes Workshop on Data Science.
[2019.07] The Han Family will get together in San Francisco. Happy birthday Prof Han!
[2019.05] I am working in Pinterest Lab this summer with the Applied Science team led by Prof. Jure Leskovec.