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Junru Shao
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Journal Articles
- 2017
- [j1]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search. IEEE Trans. Multim. 19(8): 1785-1797 (2017)
Conference and Workshop Papers
- 2023
- [c9]Zihao Ye
, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze:
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) 2023: 660-678 - [c8]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: 804-817 - 2022
- [c7]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 - 2021
- [c6]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 - 2019
- [c5]Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov:
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex. AISTATS 2019: 1099-1109 - 2017
- [c4]Xinya Du, Junru Shao, Claire Cardie:
Learning to Ask: Neural Question Generation for Reading Comprehension. ACL (1) 2017: 1342-1352 - 2016
- [c3]Shicong Liu, Junru Shao, Hongtao Lu:
Aggregating Tree for Searching in Billion Scale High Dimensional Data. ICDM Workshops 2016: 748-755 - [c2]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized residual vector quantization for large scale data. ICME 2016: 1-6 - [c1]Shicong Liu, Junru Shao, Hongtao Lu:
Accelerated distance computation with encoding tree/forest for high dimensional data. ICMLC 2016: 495-501
Informal and Other Publications
- 2023
- [i11]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 abs/2303.04759 (2023) - [i10]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 abs/2311.02103 (2023) - 2022
- [i9]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 abs/2205.13603 (2022) - [i8]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 abs/2207.04296 (2022) - [i7]Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze:
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR abs/2207.04606 (2022) - 2018
- [i6]Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov:
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex. CoRR abs/1806.01845 (2018) - 2017
- [i5]Xinya Du, Junru Shao, Claire Cardie:
Learning to Ask: Neural Question Generation for Reading Comprehension. CoRR abs/1705.00106 (2017) - 2016
- [i4]Shicong Liu, Junru Shao, Hongtao Lu:
Generalized residual vector quantization for large scale data. CoRR abs/1609.05345 (2016) - 2015
- [i3]Shicong Liu, Junru Shao, Hongtao Lu:
Accelerated Distance Computation with Encoding Tree for High Dimensional Data. CoRR abs/1509.05186 (2015) - [i2]Shicong Liu, Junru Shao, Hongtao Lu:
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search. CoRR abs/1509.05194 (2015) - [i1]Shicong Liu, Hongtao Lu, Junru Shao:
Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. CoRR abs/1509.05195 (2015)
Coauthor Index
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