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Junru Shao
Junru Shao
OpenAI
Bestätigte E-Mail-Adresse bei openai.com
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Zitiert von
Zitiert von
Jahr
Learning to ask: Neural question generation for reading comprehension
X Du, J Shao, C Cardie
arXiv preprint arXiv:1705.00106, 2017
8562017
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Z Ye, R Lai, J Shao, T Chen, L Ceze
International Conference on Architectural Support for Programming Languages …, 2023
822023
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, ...
International Conference on Architectural Support for Programming Languages …, 2023
702023
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
58*2019
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
462021
Tensor Program Optimization with Probabilistic Programs
J Shao, X Zhou, S Feng, B Hou, R Lai, H Jin, W Lin, M Masuda, CH Yu, ...
Thirty-sixth Conference Conference on Neural Information Processing Systems, 2022
282022
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
20*2017
Accelerating self-attentions for llm serving with flashinfer
Z Ye, L Chen, R Lai, Y Zhao, S Zheng, J Shao, B Hou, H Jin, Y Zuo, L Yin, ...
URL https://flashinfer. ai/2024/02/02/introduce-flashinfer. html, 2024
112024
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
92023
RAF: Holistic compilation for deep learning model training
CH Yu, H Fan, G Huang, Z Jia, Y Liu, J Wang, Z Zheng, Y Zhou, H Shen, ...
arXiv preprint arXiv:2303.04759, 2023
42023
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