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Junru Shao
Junru Shao
OctoML
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Title
Cited by
Cited by
Year
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
7512017
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
372023
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
302023
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
262021
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
82022
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
12023
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