Full List of Publications

Conference Papers

1. Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng and Xiang Ao.
   Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective [Code] [Poster]
   In the Twelfth International Conference on Learning Representations (ICLR2024).

2. Guanghui Hu, Yang Liu, Qing He and Xiang Ao.
   F2GNN: An Adaptive Filter with Feature Segmentation for Graph-based Fraud Detection [Code] [Poster]
   In 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2024).

3. Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua and Qing He.
   FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs [Slides] [Talk] [ACM]
   In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Pages 1548–1558, 2023.

4. Kuan Li, Yang Liu, Xiang Ao, Qing He.
   Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective [OpenReview]
   In the Eleventh International Conference on Learning Representations (ICLR), 2023.

5. Yang Liu, Xiang Ao, Fuli Feng, and Qing He.
   UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs [Slides] [Talk] [ACM]
   Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), Pages 1131–1140, 2022.

6. Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He.
   Reliable Representations Make A Stonger Defender: Unsupervised Structure Refinement for Robust GNN [Code] [Slides] [arXiv] [ACM]
   Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), Pages 925–935, 2022.

7. Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He.
   Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection [Code] [Slides] [Talk] [ACM]
   Proceedings of the Web Conference (WWW), 2021.

8. Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, and Qing He.
   Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment [Slides] [Talk] [ACM]
   Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020.

9. Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He.
   AUC-oriented Graph Neural Network for Fraud Detection [Slides] [ACM]
   Proceedings of the ACM Web Conference (WWW), Pages 1311–1321, 2022.

10. Zidi Qin, Yang Liu, Qing He and Xiang Ao.
    Explainable Graph-based Fraud Detection via Neural Meta-graph Search [Code] [Poster] [ACM]
    In proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), Pages 4414–4418, 2022.

11. Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He.
    Bi-Level Selection via Meta Gradient for Graph-based Fraud Detection [Slides] [Springer]
    Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA), 2022.

12. Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang and Qing He.
    Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network [Slides] [Talk] [ACM]
    In Proceedings of the Web Conference (WWW), 2020.

13. Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, and Qing He.
    Free-rider Episode Screening via Dual Partition Model [arXiv]
    Proceedings of the 23rd International Conference on Database Systems for Advanced Applications (DASFAA), 2018.

Journal Papers

1. Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, and Qing He.
   Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding [Poster] [IEEE]
   IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 34, no. 1, pp. 462-474, 1 Jan. 2022, doi: 10.1109/TKDE.2020.2983892.

2. Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He, Jianping Li.
   Intelligent Financial Fraud Detection Practices in Post-Pandemic Era [The Innovation] [ScienceDirect]
   The Innovation, Volume 2, Issue 4, 28 November 2021, 100176.

3. Xiang Ao, Yang Liu, Zidi Qin, Yi Sun and Qing He.
   Temporal High-order Proximity Aware Behavior Analysis on Ethereum
   World Wide Web (WWWJ).

4. Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, and Qing He.
   Grid-based DBSCAN: Indexing and inference [Paper] [ScienceDirect]
   Pattern Recognition, 2019.