| Efficient gradient boosted decision tree training on GPUs Z Wen, B He, R Kotagiri, S Lu, J Shi 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 49 | 2018 |
| G3 when graph neural networks meet parallel graph processing systems on GPUs H Liu, S Lu, X Chen, B He Proceedings of the VLDB Endowment 13 (12), 2813-2816, 2020 | 44 | 2020 |
| MG-Join: A scalable join for massively parallel multi-GPU architectures J Paul, S Lu, B He, CT Lau Proceedings of the 2021 International Conference on Management of Data, 1413 …, 2021 | 26 | 2021 |
| Improving execution efficiency of just-in-time compilation based query processing on gpus J Paul, B He, S Lu, CT Lau Proceedings of the VLDB Endowment 14 (2), 202-214, 2020 | 26 | 2020 |
| ThunderRW: An in-memory graph random walk engine S Sun, Y Chen, S Lu, B He, Y Li | 20 | 2021 |
| Revisiting hash join on graphics processors: A decade later J Paul, B He, S Lu, CT Lau Distributed and Parallel Databases 38, 771-793, 2020 | 20 | 2020 |
| Accelerating exact constrained shortest paths on gpus S Lu, B He, Y Li, H Fu VLBD Endownment 14, 547, 2020 | 14 | 2020 |
| 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 | 13 | 2023 |
| Sequence-based target coin prediction for cryptocurrency pump-and-dump S Hu, Z Zhang, S Lu, B He, Z Li Proceedings of the ACM on Management of Data 1 (1), 1-19, 2023 | 12 | 2023 |
| Cache-efficient fork-processing patterns on large graphs S Lu, S Sun, J Paul, Y Li, B He Proceedings of the 2021 International Conference on Management of Data, 1208 …, 2021 | 12 | 2021 |
| Deploying hash tables on die-stacked high bandwidth memory X Cheng, B He, E Lo, W Wang, S Lu, X Chen Proceedings of the 28th ACM International Conference on Information and …, 2019 | 10 | 2019 |
| Database systems on GPUs J Paul, S Lu, B He Foundations and Trends® in Databases 11 (1), 1-108, 2021 | 9 | 2021 |
| Ai-powered fraud detection in decentralized finance: A project life cycle perspective B Luo, Z Zhang, Q Wang, A Ke, S Lu, B He arXiv preprint arXiv:2308.15992, 2023 | 6 | 2023 |
| 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, 2024 | 5 | 2024 |
| ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter Q Wang, Z Zhang, Z Liu, S Lu, B Luo, B He arXiv preprint arXiv:2310.01015, 2023 | 2 | 2023 |
| Poet: an Interactive Spatial Query Processing System in Grab J Paul, JL Ang, T Fu, B He, S Lu, SY Tan, F Cheng Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 2 | 2020 |
| ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version) S Sun, Y Chen, S Lu, B He, Y Li arXiv preprint arXiv:2107.11983, 2021 | 1 | 2021 |
| ThunderRW: An in-memory graph random walk engine.(2021) S Sun, Y Chen, S Lu, B He, Y Li Proceedings of the 47th International Conference on Very Large Data Bases …, 2021 | 1 | 2021 |
| Accelerating Exact Constrained Shortest Paths on GPUs (Complete Version) S Lu, B He, Y Li, H Fu | 1 | 2021 |
| A Survey on Concurrent Processing of Graph Analytical Queries: Systems and Algorithms Y Li, S Sun, H Xiao, C Ye, S Lu, B He IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Bingsheng He, 何丙胜Professor, Department of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
