About Me

Hi! I am Yintao He (何银涛), a 4th year Ph.D Student at ICT, CAS, advised by Prof. Huawei Li and Prof. Ying Wang. Currently, I am a visiting PhD student at ETH Zurich, working with Prof. Onur Mutlu.

Know more about me: Google scholar linkedin

Education

• Sep. 2019 - Present: University of Chinese Academy of Sciences

  Ph.D Student in Computer Systems and Architecure

• Sep. 2015 - Jun. 2019: Nankai University

  B.E. in Electrical Engineering

Publications

• [TCAD] Yintao He, Bing Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, “A Task-Adaptive in-situ ReRAM Computing for Graph Convolutional Networks”, to appear in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024.(CCF-A) [paper]
• [DATE’24] Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang, “Bit-Trimmer: Ineffectual Bit-operation Removal for CIM Architecture,” to appear in Design, Automation and Test in Europe Conference, 2024.
• [DAC’22] 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,” in IEEE/ACM Proceedings of Design, Automation Conference, 2022.(CCF-A) [paper]
• [TCAD] Yintao He, Ying Wang, Huawei Li, Xiaowei Li, “Saving Energy of RRAM-based Neural Accelerator through State-Aware Computing,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021.(CCF-A) [paper]
• [DAC’21] Yintao He, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, “TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning,” in IEEE/ACM Proceedings of Design, Automation Conference, 2021.(CCF-A, Acceptance Rate: 215/916 = 23.5%) [paper]
• [DAC’20] Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li, “Towards State-Aware Computation in ReRAM Neural Networks,” in IEEE/ACM Proceedings of Design, Automation Conference, 2020.(CCF-A, Acceptance Rate: 228/991=23.0%) [paper] [code]
• [ICCAD’19] Yintao He, Ying Wang, Yongchen Wang, Huawei Li, Xiaowei Li, “An Agile Precision-Tunable CNN Accelerator based on ReRAM,” in IEEE/ACM International Conference On Computer Aided Design, 2019.(CCF-B, Acceptance Rate: 94/394=23.8%) [paper]
• [ASPLOS’24] Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Ying Wang, Lei Zhang, “CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators,” to appear in International Conference on Architectural Support for Programming Languages and Operating Systems, 2024.(CCF-A)
• [DAC’24] Lian Liu, Zhaohui Xu, Yintao He, Ying Wang, Huawei Li, Xiaowei Li and Yinhe Han, “Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration,” to appear in IEEE/ACM Proceedings of Design, Automation Conference, 2024.(CCF-A)
• [DAC’23] Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin and Weifeng Liu, “AmgR: Algebraic Multigrid Accelerated on ReRAM” in IEEE/ACM Proceedings of Design, Automation Conference, 2023.(CCF-A)
• [TC] Wen Li, Ying Wang, Cheng Liu, Yintao He, Lian Liu, Huawei Li, Xiaowei Li, “On-line Fault Protection for ReRAM-based Neural Networks,” in IEEE Transactions on Computers, 2022.(CCF-A) [paper]
• [TCAD] Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li, “A Fast Precision Tuning Solution for Always-On DNN Accelerators,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021.(CCF-A) [paper]

Honors and Awards

• 2022 National Scholarship
• 2022 Director’s Special Scholarship (7/1500)
• 2020, 2021 First Prize in Academic Scholarship in UCAS
• 2020, 2021 UCAS Merit Student
• 2020 DAC Young Fellow Best Poster Award
• 2020 DAC Young Fellowship
• 2019 Outstanding Graduation Thesis (Top 5 in the department)

Services

• Reviewer: IEEE Trans. CAD, ITC 2023

Contact Me

• Email: heyintao19z@ict.ac.cn
• Postal Address: No.6 Kexueyuan South Road Zhongguancun,Haidian District Beijing,China 100190

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