| DistDGL: Distributed graph neural network training for billion-scale graphs D Zheng, C Ma, M Wang, J Zhou, Q Su, X Song, Q Gan, Z Zhang, ... 2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and …, 2020 | 245* | 2020 |
| Adaptive Load Balancing for Parallel GNN Training Q Su, M Wang, D Zheng, Z Zhang Proceedings of MLSys Workshop on Graph Neural Networks and Systems (GNNSys), 2021 | 10 | 2021 |
| The synergy of speculative decoding and batching in serving large language models Q Su, C Giannoula, G Pekhimenko arXiv preprint arXiv:2310.18813, 2023 | 6 | 2023 |
| A Survey on Deep Learning for Theorem Proving Z Li, J Sun, L Murphy, Q Su, Z Li, X Zhang, K Yang, X Si arXiv preprint arXiv:2404.09939, 2024 | 2 | 2024 |
| TorchProbe: Fuzzing Dynamic Deep Learning Compilers Q Su, C Geng, G Pekhimenko, X Si Asian Symposium on Programming Languages and Systems, 310-331, 2023 | 1 | 2023 |
| APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts H Dong, Q Su, Y Gao, Z Li, Y Ruan, G Pekhimenko, CJ Maddison, X Si arXiv preprint arXiv:2406.13161, 2024 | | 2024 |
Minjie WangAWS Shanghai AI Lab在 nyu.edu 的电子邮件经过验证
