Learning to ask: Neural question generation for reading comprehension X Du, J Shao, C Cardie Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 757 | 2017 |
Deep neural networks with multi-branch architectures are intrinsically less non-convex H Zhang, J Shao, R Salakhutdinov The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 56* | 2019 |
Sparsetir: Composable abstractions for sparse compilation in deep learning Z Ye, R Lai, J Shao, T Chen, L Ceze Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 51 | 2023 |
Tensorir: An abstraction for automatic tensorized program optimization S Feng, B Hou, H Jin, W Lin, J Shao, R Lai, Z Ye, L Zheng, CH Yu, Y Yu, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 39 | 2023 |
Tenset: A large-scale program performance dataset for learned tensor compilers L Zheng, R Liu, J Shao, T Chen, JE Gonzalez, I Stoica, AH Ali Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 27 | 2021 |
Generalized residual vector quantization and aggregating tree for large scale search S Liu, J Shao, H Lu IEEE Transactions on Multimedia 19 (8), 1785-1797, 2017 | 18* | 2017 |
Tensor program optimization with probabilistic programs J Shao, X Zhou, S Feng, B Hou, R Lai, H Jin, W Lin, M Masuda, CH Yu, ... Advances in Neural Information Processing Systems 35, 35783-35796, 2022 | 13 | 2022 |
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning R Lai, J Shao, S Feng, SS Lyubomirsky, B Hou, W Lin, Z Ye, H Jin, Y Jin, ... arXiv preprint arXiv:2311.02103, 2023 | 2 | 2023 |