Junru Shao

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 21

Top Topics

Nearest Neighbor Search

Residual Vector Quantization

Top Venues

Publications

Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) (2023)
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
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR (2023)
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
RAF: Holistic Compilation for Deep Learning Model Training. CoRR (2023)
Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) (2023)
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Tensor Program Optimization with Probabilistic Programs. NeurIPS (2022)
Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR (2022)
Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR (2022)
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Tensor Program Optimization with Probabilistic Programs. CoRR (2022)
Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks (2021)
Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex. AISTATS (2019)
Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex. CoRR (2018)
Shicong Liu, Junru Shao, Hongtao Lu
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search. IEEE Trans. Multim. 19 (8) (2017)
Xinya Du, Junru Shao, Claire Cardie
Learning to Ask: Neural Question Generation for Reading Comprehension. CoRR (2017)
Xinya Du, Junru Shao, Claire Cardie
Learning to Ask: Neural Question Generation for Reading Comprehension. ACL (1) (2017)
Shicong Liu, Junru Shao, Hongtao Lu
Generalized residual vector quantization for large scale data. CoRR (2016)
Shicong Liu, Junru Shao, Hongtao Lu
Accelerated distance computation with encoding tree/forest for high dimensional data. ICMLC (2016)
Shicong Liu, Junru Shao, Hongtao Lu
Aggregating Tree for Searching in Billion Scale High Dimensional Data. ICDM Workshops (2016)
Shicong Liu, Junru Shao, Hongtao Lu
Generalized residual vector quantization for large scale data. ICME (2016)
Shicong Liu, Junru Shao, Hongtao Lu
Accelerated Distance Computation with Encoding Tree for High Dimensional Data. CoRR (2015)
Shicong Liu, Junru Shao, Hongtao Lu
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search. CoRR (2015)
Shicong Liu, Hongtao Lu, Junru Shao
Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. CoRR (2015)