Application of Mobile Games to Support Clinical Data Collection for Patients with Niemann-Pick Disease. - Richard O. Sinnott; Jun Han; William Hu; Xiaoxiao Ma 002; Kuai Yu (CBMS, 2015)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning. - Xiaoxiao Ma 002; Jia Wu 001; Shan Xue 001; Jian Yang 001; Quan Z. Sheng; Hui Xiong 001 (CoRR, 2021)

DAGAD: Data Augmentation for Graph Anomaly Detection. - Fanzhen Liu; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu C. Aggarwal (ICDM, 2022)

Deep Multi-Attributed-View Graph Representation Learning. - Xiaoxiao Ma 002; Shan Xue 001; Jia Wu 001; Jian Yang 001; Cécile Paris; Surya Nepal; Quan Z. Sheng (IEEE Trans. Netw. Sci. Eng., 2022)

Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping. - Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng (KDD, 2023)

Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Fan 003 (SSDBM, 2023)

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. - Xiaoxiao Ma 002; Jia Wu 001; Shan Xue 001; Jian Yang 001; Chuan Zhou 001; Quan Z. Sheng; Hui Xiong 001; Leman Akoglu (IEEE Trans. Knowl. Data Eng., 2023)

On Fake News Detection with LLM Enhanced Semantics Mining. - Xiaoxiao Ma 002; Yuchen Zhang; Kaize Ding; Jian Yang 001; Jia Wu 001; Hao Fan 003 (EMNLP, 2024)

Graph Anomaly Detection with Few Labels: A Data-Centric Approach. - Xiaoxiao Ma 002; Ruikun Li 001; Fanzhen Liu; Kaize Ding; Jian Yang 001; Jia Wu 001 (KDD, 2024)

Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. - Kaize Ding; Xiaoxiao Ma 002; Yixin Liu 001; Shirui Pan (KDD, 2024)

Heterogeneous Subgraph Transformer for Fake News Detection. - Yuchen Zhang; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Hao Fan 003 (WWW, 2024)

Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Hao Fan 003 (IEEE Trans. Consumer Electron., 2024)

Contrastive Multi-Knowledge Graph Learning for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Shan Xue 001; Jian Yang 001; Jia Wu 001; Hao Fan 003 (IEEE Trans. Netw. Sci. Eng., 2025)

Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. - Xiaoxiao Ma 002; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Shan Xue 001; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2025)

Multiknowledge and LLM-Inspired Heterogeneous Graph Neural Network for Fake News Detection. - Bingbing Xie; Xiaoxiao Ma 002; Shan Xue 001; Amin Beheshti; Jian Yang 001; Hao Fan 003; Jia Wu 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Heterogeneous Hypergraph Neural Network for Social Recommendation using Attention Network. - Bilal Khan; Jia Wu 001; Jian Yang 001; Xiaoxiao Ma 002 (Trans. Recomm. Syst., 2025)