| Seastar: vertex-centric programming for graph neural networks Y Wu, K Ma, Z Cai, T Jin, B Li, C Zheng, J Cheng, F Yu Proceedings of the Sixteenth European Conference on Computer Systems, 359-375, 2021 | 55 | 2021 |
| Improving resource utilization by timely fine-grained scheduling T Jin, Z Cai, B Li, C Zheng, G Jiang, J Cheng Proceedings of the Fifteenth European Conference on Computer Systems, 1-16, 2020 | 33 | 2020 |
| Circinus: Fast redundancy-reduced subgraph matching T Jin, B Li, Y Li, Q Zhou, Q Ma, Y Zhao, H Chen, J Cheng Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 12 | 2023 |
| HGL: accelerating heterogeneous GNN training with holistic representation and optimization Y Gui, Y Wu, H Yang, T Jin, B Li, Q Zhou, J Cheng, F Yu SC22: International Conference for High Performance Computing, Networking …, 2022 | 10 | 2022 |
| VSGM: view-based GPU-accelerated subgraph matching on large graphs G Jiang, Q Zhou, T Jin, B Li, Y Zhao, Y Li, J Cheng SC22: International Conference for High Performance Computing, Networking …, 2022 | 6 | 2022 |
