Bert4eth: A pre-trained transformer for ethereum fraud detection S Hu, Z Zhang, B Luo, S Lu, B He, L Liu Proceedings of the ACM Web Conference 2023, 2189-2197, 2023 | 38 | 2023 |
Ai-powered fraud detection in decentralized finance: A project life cycle perspective B Luo, Z Zhang, Q Wang, A Ke, S Lu, B He ACM Computing Surveys 57 (4), 1-38, 2024 | 15 | 2024 |
Live graph lab: Towards open, dynamic and real transaction graphs with nft Z Zhang, B Luo, S Lu, B He Advances in Neural Information Processing Systems 36, 18769-18793, 2023 | 10 | 2023 |
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Q Wang, Z Zhang, Z Liu, S Lu, B Luo, B He The Twelfth International Conference on Learning Representations, 0 | 4 | |
Cryptotrade: A reflective llm-based agent to guide zero-shot cryptocurrency trading Y Li, B Luo, Q Wang, N Chen, X Liu, B He Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 3 | 2024 |
Enhancing LLM trading performance with fact-subjectivity aware reasoning Q Wang, Y Gao, Z Tang, B Luo, B He arXiv preprint arXiv:2410.12464, 2024 | 1 | 2024 |
Spade: A Real-Time Fraud Detection Framework J Jiang, Z Zhang, B Luo, B He, M Chen, WY Wang, J Chen Proceedings of the VLDB Endowment 17 (12), 4253-4256, 2024 | | 2024 |
When Crypto Economics Meet Graph Analytics and Learning B Luo Companion Proceedings of the ACM on Web Conference 2024, 1186-1189, 2024 | | 2024 |
Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets B Luo, Z Zhang, Q Wang, B He The Thirty-eight Conference on Neural Information Processing Systems …, 0 | | |