Sheng Xiang

Orcid: 0000-0002-1454-8240

Affiliations:

Tongji University, School of Computer Science and Technology, Shanghai, China
University of Technology Sydney (UTS), Sydney, Australia (PhD)

According to our database¹, Sheng Xiang authored at least 23 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

GraphInstruct: A Progressive Benchmark for Diagnosing Capability Gaps in LLM Graph Generation.

[BibT_eX]

[DOI]

CoRR, May, 2026

2025

Scalable Learning-Based Community-Preserving Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, October, 2025

Efficient relation-aware heterogeneous graph neural network for fraud detection.

[BibT_eX]

[DOI]

World Wide Web (WWW), September, 2025

Graph neural networks for financial fraud detection: a review.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., September, 2025

Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, August, 2025

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2025

Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2025

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Graph Learning-Empowered Financial Fraud Detection: Progress and Future Directions.

[BibT_eX]

[DOI]

Intell. Comput., 2025

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Efficient Learning-Based Graph Simulation for Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Hypergraph-Driven Tabular Data Synthesis with Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

2024

Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Relation-Aware Heterogeneous Graph Neural Network for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Anti-Money Laundering by Group-Aware Deep Graph Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

General graph generators: experiments, analyses, and improvements.

[BibT_eX]

[DOI]

VLDB J., 2022

Financial time series forecasting with multi-modality graph neural network.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Efficient Learning-based Community-Preserving Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract).

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Sheng Xiang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...