Liu, Yang

PhD Candidate, Key Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), No. 6 Kexueyuan South Rd. Haidian Dist., Beijing, China E-mail: liuyang17z [@] ict [DOT] ac [DOT] cn

About me

I am a PhD candidate in the Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences(CAS), ICT, CAS.

I am fortunate to be supervised by Prof. Qing He and co-supervised by Prof. Xiang Ao. Here is my Google Scholar and DBLP Page.

From Feb 2022 to Feb 2023, I was a visiting scholar in the NExT Research Centre, National University of Singapore(NUS), adviced by Prof. Chua Tat-Seng. Also, I work with Prof. Fuli Feng and Dr. Yunshan Ma.

Previously, I received the B.S. degree in Mathematics from Nanjing University (NJU) in 2017.

Research

My research interests include

• Financial Fraud Detection

• Graph Representation Learning

• Spatio-temporal Activity Modeling

Find out more.

Recent Publications

1. 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", To appear in the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2023).

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

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

4. 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", In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), Pages 925–935, 2022. [Paper] [Code] [Slides] [arXiv] [ACM]

5. 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", In Proceedings of the Web Conference (WWW), 2021. [Paper] [Code] [Slides] [Talk] [ACM]

6. 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", In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020. [Paper] [Slides] [Talk] [ACM]

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

8. 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", In Proceedings of the ACM Web Conference (WWW), Pages 1311–1321, 2022. [Paper] [Slides] [ACM]

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

10. 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", In Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA), 2022. [Paper] [Slides] [Springer]

11. 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", In Proceedings of the Web Conference (WWW), 2020. [Paper] [Slides] [Talk] [ACM]

12. 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, Volume 2, Issue 4, 28 November 2021, 100176. [Paper] [The Innovation] [ScienceDirect]

Full list of publications.

Service

Program Committee Member

• NeurIPS’23, KDD’23, KDD’22, AAAI’22, ECML-PKDD’23

Journal Reviewer

• ACM Computing Survey

• IEEE Transactions on Neural Networks and Learning Systems

• Pattern Recognition