Publications

Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang (2025). Enhancing Attribute-driven Fraud Detection with Risk-aware Graph Representation. In IEEE TKDE 2025.

Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang (2025). Efficient Learning-based Graph Simulation for Temporal Graphs. In IEEE ICDE 2025 (To Appear).

Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang (2025). Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. In ACM WWW 2025 (To Appear).

Sheng Xiang, Chenhao Xu, Dawei Cheng, Ying Zhang (2025). Scalable Learning-Based Community-Preserving Graph Generation. In IEEE TBD 2025.

Dawei Cheng, Yao Zou, Sheng Xiang, Changjun Jiang (2025). Graph neural networks for financial fraud detection: a review. In FCS 2025.

Yiwen Jiang, Sheng Xiang, Yihan Dai, Dawei Cheng (2025). Generative Artificial Intelligence Model for Multi-granularity Power Data Simulation. In IJPRAI 2025.

Jiacheng Ma, Sheng Xiang, Qiang Li, Liangyu Yuan, Dawei Cheng, Changjun Jiang (2024). Parallel Graph Learning with Temporal Stamp Encoding for Fraudulent Transactions Detections. In IEEE TBD 2024.

Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang (2024). MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU. In Neucom 2025.

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

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

Charles Z. Liu, Sheng Xiang, Dawei Cheng, Junyi Liu, Ying Zhang, Lu Qin (2023). Transformed Graph Attention for Credit Rating. In IEEE ICIEA 2023.

Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang (2023). Anti-Money Laundering by Group-Aware Deep Graph Learning. In 2023 IEEE TKDE.

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

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

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Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang (2022). Efficient Learning-based Community-Preserving Graph Generation. In IEEE ICDE 2022 Oral.

Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu (2022). Financial time series forecasting with multi-modality graph neural network. In Pattern Recognition 121.

Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin (2021). General graph generators: experiments, analyses, and improvements. In VLDBJ 2021.

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Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang (2021). Efficient top-k vulnerable nodes detection in uncertain graphs. In 2021 IEEE TKDE.

Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang (2020). Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. In AAAI 2020 Oral (WAIC youth outstanding paper award).

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