Hongyi Jin

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / 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
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems.
ACM Comput. Surv.
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
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
POSE: Phased One-Step Adversarial Equilibrium for Video Diffusion Models.
CoRR
Jiaxiang Cheng, Bing Ma, Xuhua Ren, Hongyi Jin, Kai Yu, Peng Zhang, Wenyu Liu, Yuan Zhou, Tianxiang Zheng, Qinglin Lu
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
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
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
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
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
2023 J jnl
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems.
CoRR
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
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