Junru Shao

According to our database, Junru Shao authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen

CoRR, 2023

RAF: Holistic Compilation for Deep Learning Model Training.

Cody Hao Yu, Haozheng Fan, Guangtai Huang, Zhen Jia, Yizhi Liu, Jie Wang, Zach Zheng, Yuan Zhou, Haichen Shen, Junru Shao, Mu Li, Yida Wang

CoRR, 2023

SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning.

Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

TensorIR: An Abstraction for Automatic Tensorized Program Optimization.

Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Tensor Program Optimization with Probabilistic Programs.

Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers.

Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex.

Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex.

Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov

CoRR, 2018

2017

Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search.

Shicong Liu, Junru Shao, Hongtao Lu

IEEE Trans. Multim., 2017

Learning to Ask: Neural Question Generation for Reading Comprehension.

Xinya Du, Junru Shao, Claire Cardie

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Accelerated distance computation with encoding tree/forest for high dimensional data.

Shicong Liu, Junru Shao, Hongtao Lu

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Generalized residual vector quantization for large scale data.

Shicong Liu, Junru Shao, Hongtao Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Aggregating Tree for Searching in Billion Scale High Dimensional Data.

Shicong Liu, Junru Shao, Hongtao Lu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search.

Shicong Liu, Junru Shao, Hongtao Lu

CoRR, 2015

Accelerated Distance Computation with Encoding Tree for High Dimensional Data.

Shicong Liu, Junru Shao, Hongtao Lu

CoRR, 2015

Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search.

Shicong Liu, Hongtao Lu, Junru Shao

CoRR, 2015