Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. - Dawei Cheng; Sheng Xiang 001; Chencheng Shang; Yiyi Zhang 002; Fangzhou Yang; Liqing Zhang 001 (AAAI, 2020)

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. - Sheng Xiang 001; Dawei Cheng; Chencheng Shang; Ying Zhang 001; Yuqi Liang (CIKM, 2022)

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). - Dawei Cheng; Chen Chen 017; Xiaoyang Wang 002; Sheng Xiang 001 (ICDE, 2022)

Efficient Learning-based Community-Preserving Graph Generation. - Sheng Xiang 001; Dawei Cheng; Jianfu Zhang 003; Zhenwei Ma; Xiaoyang Wang 002; Ying Zhang 001 (ICDE, 2022)

Financial time series forecasting with multi-modality graph neural network. - Dawei Cheng; Fangzhou Yang; Sheng Xiang 001; Jin Liu (Pattern Recognit., 2022)

General graph generators: experiments, analyses, and improvements. - Sheng Xiang 001; Dong Wen 001; Dawei Cheng; Ying Zhang 001; Lu Qin 001; Zhengping Qian; Xuemin Lin 001 (VLDB J., 2022)

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. - Sheng Xiang 001; Mingzhi Zhu; Dawei Cheng; Enxia Li; Ruihui Zhao; Yi Ouyang; Ling Chen 006; Yefeng Zheng 001 (AAAI, 2023)

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs. - Dawei Cheng; Chen Chen 017; Xiaoyang Wang 002; Sheng Xiang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Anti-Money Laundering by Group-Aware Deep Graph Learning. - Dawei Cheng; Yujia Ye; Sheng Xiang 001; Zhenwei Ma; Ying Zhang 001; Changjun Jiang 002 (IEEE Trans. Knowl. Data Eng., 2023)

Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection. - Enxia Li; Jin Ouyang; Sheng Xiang 001; Lu Qin 001; Ling Chen 006 (APWeb/WAIM (3), 2024)

Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection. - Yao Zou; Sheng Xiang 001; Qijun Miao; Dawei Cheng; Changjun Jiang 002 (DASFAA (6), 2024)

Hypergraph-Driven Tabular Data Synthesis with Multi-objective Optimization. - Jin Ouyang; Xu Jia; Sheng Xiang 001; Ying Zhang 001; Lu Qin 001 (ICDAR (5), 2025)

Efficient Learning-Based Graph Simulation for Temporal Graphs. - Sheng Xiang 001; Chenhao Xu 001; Dawei Cheng; Xiaoyang Wang 002; Ying Zhang 001 (ICDE, 2025)

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. - Sheng Xiang 001; Yidong Jiang; Yunting Chen; Dawei Cheng; Guoping Zhao; Changjun Jiang 002 (WWW, 2025)

Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions. - Enxia Li; Mengshi Chen; Sheng Xiang 001; Ling Chen 006 (Intell. Comput., 2025)

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU. - Peng Zhu 002; Yuante Li; Yifan Hu 006; Sheng Xiang 001; Qinyuan Liu; Dawei Cheng; Yuqi Liang (Neurocomputing, 2025)

Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation. - Yiwen Jiang; Sheng Xiang 001; Yihan Dai; Dawei Cheng (Int. J. Pattern Recognit. Artif. Intell., 2025)

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation. - Sheng Xiang 001; Guibin Zhang; Dawei Cheng; Ying Zhang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections. - Jiacheng Ma 006; Sheng Xiang 001; Qiang Li; Liangyu Yuan; Dawei Cheng; Changjun Jiang 002 (IEEE Trans. Big Data, 2025)

Graph neural networks for financial fraud detection: a review. - Dawei Cheng; Yao Zou; Sheng Xiang 001; Changjun Jiang 002 (Frontiers Comput. Sci., 2025)

Efficient relation-aware heterogeneous graph neural network for fraud detection. - Enxia Li; Jin Ouyang; Sheng Xiang 001; Lu Qin 001; Ling Chen 006 (World Wide Web (WWW), 2025)

Scalable Learning-Based Community-Preserving Graph Generation. - Sheng Xiang 001; Chenhao Xu 001; Dawei Cheng; Ying Zhang 001 (IEEE Trans. Big Data, 2025)

GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation. - Zihe Wei; Sheng Xiang 001; Ying Zhang 001; Changjun Jiang 002 (CoRR, 2026)