Yintao He

According to our database, Yintao He authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks.

Yintao He, Bing Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2024

Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture.

Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration.

Lian Liu, Zhaohui Xu, Yintao He, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators.

Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

On-Line Fault Protection for ReRAM-Based Neural Networks.

Wen Li, Ying Wang, Cheng Liu, Yintao He, Lian Liu, Huawei Li, Xiaowei Li

IEEE Trans. Computers, February, 2023

AmgR: Algebraic Multigrid Accelerated on ReRAM.

Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A Fast Precision Tuning Solution for Always-On DNN Accelerators.

Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing.

Yintao He, Ying Wang, Huawei Li, Xiaowei Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs.

Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning.

Yintao He, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Towards State-Aware Computation in ReRAM Neural Networks.

Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

An Agile Precision-Tunable CNN Accelerator based on ReRAM.

Yintao He, Ying Wang, Yongchen Wang, Huawei Li, Xiaowei Li

Proceedings of the International Conference on Computer-Aided Design, 2019