| 2025 | AAAI | Rethinking Cancer Gene Identification Through Graph Anomaly Analysis. | Yilong Zang, Lingfei Ren, Yue Li, Zhikang Wang, David Antony Selby, Zheng Wang, Sebastian Josef Vollmer, Hongzhi Yin, Jiangning Song, Junhang Wu |
| 2025 | ICTAI | HHGFD: Graph Fraud Detection Through Heterogeneity and Heterophily Characterization. | Ping Hu, Yudong Qin, Junhang Wu, Zhou Yang |
| 2024 | IJCAI | Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection. | Junhang Wu, Ruimin Hu, Dengshi Li, Zijun Huang, Lingfei Ren, Yilong Zang |
| 2023 | IJCAI | Don't Ignore Alienation and Marginalization: Correlating Fraud Detection. | Yilong Zang, Ruimin Hu, Zheng Wang, Danni Xu, Jia Wu, Dengshi Li, Junhang Wu, Lingfei Ren |
| 2022 | ICSOC | A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification. | Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang |
| 2022 | ICSOC | IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection. | Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Wenyi Hu, Yilong Zang |
| 2022 | ISPA | Learning Dynamic Behavior Patterns for Fraud Detection. | Zijun Huang, Junhang Wu, Lingfei Ren, Ruimin Hu, Dengshi Li |
| 2022 | LCN | Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding. | Linfei Ren, Ruimin Hu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu |
| 2021 | ISPA | Multi-network Embedding for Missing Point-of-Interest Identification. | Junhang Wu, Ruimin Hu, Dengshi Li, Yilin Xiao, Lingfei Ren, Wenyi Hu |
| 2021 | LCN | Multi-level Graph Attention Network based Unsupervised Network Alignment. | Yilin Xiao, Ruimin Hu, Dengshi Li, Junhang Wu, Yu Zhen, Lingfei Ren |