| Apr 20, 2024 | One survey paper accepted by IJCAI 2024: A Systematic Survey on Federated Semi-supervised Learning |
| Nov 14, 2023 | One paper accepted by Neural Networks: MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks |
| Jun 18, 2023 | Our tutorial Trustworthy Federated Learning: Concepts, Methods, Applications, and Beyond was presented at IJCNN 2023 |
| Apr 20, 2023 | One paper accepted by IJCAI 2023: FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks |
| Apr 4, 2023 | Served as a reviewer in the WWW 2023 “Artifacts Available” review committee |
| Jan 14, 2023 | Fellow students from our MISC Lab presented our recent research on LOGS |
| Jul 28, 2022 | Our tutorial Deep Learning on Graphs was presented at DeepLearn 2022 Summer |
| Nov 22, 2020 | Our tutorial Deep Learning on Graphs: Methods and Applications was presented at ICONIP 2020 |
| Jan 11, 2020 | One paper accepted by WWW 2020: MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding |