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Yintao He
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 11
Top Topics
Neural Network
Memory Requirements
Inverse Problems In Image Processing
Precision And Recall
Top Venues
DAC
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
CoRR
ASPLOS (2)
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Publications
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Songyun Qu
,
Shixin Zhao
,
Bing Li
,
Yintao He
,
Xuyi Cai
,
Lei Zhang
,
Ying Wang
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators.
CoRR
(2024)
Yintao He
,
Shixin Zhao
,
Songyun Qu
,
Huawei Li
,
Xiaowei Li
,
Ying Wang
Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture.
DATE
(2024)
Songyun Qu
,
Shixin Zhao
,
Bing Li
,
Yintao He
,
Xuyi Cai
,
Lei Zhang
,
Ying Wang
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators.
ASPLOS (2)
(2024)
Mingjia Fan
,
Xiaotian Tian
,
Yintao He
,
Junxian Li
,
Yiru Duan
,
Xiaozhe Hu
,
Ying Wang
,
Zhou Jin
,
Weifeng Liu
AmgR: Algebraic Multigrid Accelerated on ReRAM.
DAC
(2023)
Wen Li
,
Ying Wang
,
Cheng Liu
,
Yintao He
,
Lian Liu
,
Huawei Li
,
Xiaowei Li
On-Line Fault Protection for ReRAM-Based Neural Networks.
IEEE Trans. Computers
72 (2) (2023)
Yintao He
,
Ying Wang
,
Huawei Li
,
Xiaowei Li
Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
41 (7) (2022)
Ying Wang
,
Yintao He
,
Long Cheng
,
Huawei Li
,
Xiaowei Li
A Fast Precision Tuning Solution for Always-On DNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
41 (5) (2022)
Yintao He
,
Songyun Qu
,
Ying Wang
,
Bing Li
,
Huawei Li
,
Xiaowei Li
InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs.
DAC
(2022)
Yintao He
,
Ying Wang
,
Cheng Liu
,
Huawei Li
,
Xiaowei Li
TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning.
DAC
(2021)
Yintao He
,
Ying Wang
,
Xiandong Zhao
,
Huawei Li
,
Xiaowei Li
Towards State-Aware Computation in ReRAM Neural Networks.
DAC
(2020)
Yintao He
,
Ying Wang
,
Yongchen Wang
,
Huawei Li
,
Xiaowei Li
An Agile Precision-Tunable CNN Accelerator based on ReRAM.
ICCAD
(2019)