Ruihang Lai - RankMe

20 papers A* 2Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers. CoRR Bohan Hou, Hongyi Jin, Guanjie Wang, Jinqi Chen, Yaxing Cai, Lijie Yang, Zihao Ye, Yaoyao Ding, Ruihang Lai, Tianqi Chen
2026	J	`jnl`	Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths. CoRR Xuezhe Ma, Shicheng Wen, Linghao Jin, Bilge Acun, Ruihang Lai, Bohan Hou, Will Lin, Hao Zhang, Songlin Yang, Ryan Lee, Mengxi Wu, Jonathan May, Luke Zettlemoyer, Carole-Jean Wu
2025	—	`conf`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. MLSys Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	J	`jnl`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. CoRR Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	A*	`conf`	MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. ICLR Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen
2025	J	`jnl`	Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs. CoRR Xinhao Cheng, Zhihao Zhang, Yu Zhou, Jianan Ji, Jinchen Jiang, Zepeng Zhao, Ziruo Xiao, Zihao Ye, Yingyi Huang, Ruihang Lai, Hongyi Jin, Bohan Hou, Mengdi Wu, Yixin Dong, Anthony Yip, Songting Wang, Wenqin Yang, Xupeng Miao, Tianqi Chen, Zhihao Jia
2025	J	`jnl`	Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging. Proc. ACM Softw. Eng. Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
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
2025	—	`conf`	XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models. MLSys Yixin Dong, Charlie F. Ruan, Yaxing Cai, Ziyi Xu, Yilong Zhao, Ruihang Lai, Tianqi Chen
2024	J	`jnl`	A System for Microserving of LLMs. CoRR Hongyi Jin, Ruihang Lai, Charlie F. Ruan, Yingcheng Wang, Todd C. Mowry, Xupeng Miao, Zhihao Jia, Tianqi Chen
2024	J	`jnl`	Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. CoRR Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
2024	J	`jnl`	WebLLM: A High-Performance In-Browser LLM Inference Engine. CoRR Charlie F. Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, Tianqi Chen
2024	J	`jnl`	XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models. CoRR Yixin Dong, Charlie F. Ruan, Yaxing Cai, Ruihang Lai, Ziyi Xu, Yilong Zhao, Tianqi Chen
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