Junru Shao - RankMe

22 papers A* 1A 2Misc 1Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. ASPLOS (2) Ruihang Lai, Junru Shao, Siyuan Feng, Steven 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 Roesch, Todd C. Mowry, Tianqi Chen
2023	J	`jnl`	RAF: Holistic Compilation for Deep Learning Model Training. CoRR 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
2023	J	`jnl`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR 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
2023	—	`conf`	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
2023	—	`conf`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2022	J	`jnl`	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
2022	A*	`conf`	Tensor Program Optimization with Probabilistic Programs. NeurIPS Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
2022	J	`jnl`	Tensor Program Optimization with Probabilistic Programs. CoRR Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
2022	J	`jnl`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2021	—	`conf`	TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
2019	A	`conf`	Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex. AISTATS Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov
2018	J	`jnl`	Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex. CoRR Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov
2017	J	`jnl`	Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search. IEEE Trans. Multim. Shicong Liu, Junru Shao, Hongtao Lu
2017	—	`conf`	Learning to Ask: Neural Question Generation for Reading Comprehension. ACL (1) Xinya Du, Junru Shao, Claire Cardie
2017	J	`jnl`	Learning to Ask: Neural Question Generation for Reading Comprehension. CoRR Xinya Du, Junru Shao, Claire Cardie
2016	Misc	`conf`	Accelerated distance computation with encoding tree/forest for high dimensional data. ICMLC Shicong Liu, Junru Shao, Hongtao Lu
2016	—	`conf`	Aggregating Tree for Searching in Billion Scale High Dimensional Data. ICDM Workshops Shicong Liu, Junru Shao, Hongtao Lu
2016	A	`conf`	Generalized residual vector quantization for large scale data. ICME Shicong Liu, Junru Shao, Hongtao Lu
2016	J	`jnl`	Generalized residual vector quantization for large scale data. CoRR Shicong Liu, Junru Shao, Hongtao Lu
2015	J	`jnl`	Accelerated Distance Computation with Encoding Tree for High Dimensional Data. CoRR Shicong Liu, Junru Shao, Hongtao Lu
2015	J	`jnl`	HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search. CoRR Shicong Liu, Junru Shao, Hongtao Lu
2015	J	`jnl`	Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. CoRR Shicong Liu, Hongtao Lu, Junru Shao