| Understanding gnn computational graph: A coordinated computation, io, and memory perspective H Zhang, Z Yu, G Dai, G Huang, Y Ding, Y Xie, Y Wang Proceedings of Machine Learning and Systems 4, 467-484, 2022 | 35 | 2022 |
| Fastfold: Reducing alphafold training time from 11 days to 67 hours S Cheng, X Zhao, G Lu, J Fang, Z Yu, T Zheng, R Wu, X Zhang, J Peng, ... arXiv preprint arXiv:2203.00854, 2022 | 19 | 2022 |
| CogDL: A toolkit for deep learning on graphs Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, Z Yu, H Zhang, X Yao, A Zeng, ... arXiv preprint arXiv:2103.00959, 2021 | 15 | 2021 |
| Cogdl: A comprehensive library for graph deep learning Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, Z Yu, H Zhang, X Yao, A Zeng, ... Proceedings of the ACM Web Conference 2023, 747-758, 2023 | 11 | 2023 |
| Heuristic adaptability to input dynamics for spmm on gpus G Dai, G Huang, S Yang, Z Yu, H Zhang, Y Ding, Y Xie, H Yang, Y Wang Proceedings of the 59th ACM/IEEE Design Automation Conference, 595-600, 2022 | 10 | 2022 |
| Exploiting online locality and reduction parallelism for sampled dense matrix multiplication on gpus Z Yu, G Dai, G Huang, Y Wang, H Yang 2021 IEEE 39th International Conference on Computer Design (ICCD), 567-574, 2021 | 8 | 2021 |
| Exploiting hardware utilization and adaptive dataflow for efficient sparse convolution in 3d point clouds K Hong, Z Yu, G Dai, X Yang, Y Lian, N Xu, Y Wang Proceedings of Machine Learning and Systems 5, 2023 | 6 | 2023 |
| Torchsparse++: Efficient point cloud engine H Tang, S Yang, Z Liu, K Hong, Z Yu, X Li, G Dai, Y Wang, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Sgap: towards efficient sparse tensor algebra compilation for GPU G Zhang, Y Zhao, Y Tao, Z Yu, G Dai, S Huang, Y Wen, P Petoumenos, ... CCF Transactions on High Performance Computing 5 (2), 210-227, 2023 | 4 | 2023 |
| Torchsparse++: Efficient training and inference framework for sparse convolution on gpus H Tang, S Yang, Z Liu, K Hong, Z Yu, X Li, G Dai, Y Wang, S Han Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 3 | 2023 |
| Hypergef: A framework enabling efficient fusion for hypergraph neural network on gpus Z Yu, G Dai, S Yang, G Zhang, H Zhang, F Zhu, J Yang, J Zhao, Y Wang Proceedings of Machine Learning and Systems 5, 2023 | 3 | 2023 |
| Benchmarking gnn-based recommender systems on intel optane persistent memory Y Hu, J Li, Z Yu, Z Zhang arXiv preprint arXiv: 2207.11918, 2022 | 1 | 2022 |
| GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU Z Yu, G Zhang, H Huang, X Chen, J Zhao arXiv preprint arXiv:2404.03019, 2024 | | 2024 |
| CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory T Fu, C Wei, Z Zhu, S Yang, Z Yu, G Dai, H Yang, Y Wang 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | | 2023 |
| Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Y Hu, J Li, Z Yu, Z Zhang arXiv preprint arXiv:2207.11918, 2022 | | 2022 |
Guohao DaiAssociate Professor of Shanghai Jiao Tong UniversityAdresse e-mail validée de sjtu.edu.cn
