刘博生 博士

青年百人计划A层次

科研方向：面向深度学习的软硬件协同设计，FPGA硬件设计，计算机系统结构

联系方式：liubosheng@gdut.edu.cn

个人简介:

        2018年09月受留学基金委项目资助赴美国杜克大学进行为期一年的联合培养。博士毕业于中科院计算所体系结构国家重点实验室。2020年09月进入广东工业大学计算机学院工作。熟悉计算机硬件、操作系统及软件工程。

教育背景:

  2014.09-2020.06   中国科学院计算技术研究所  博士   计算机系统结构

  2018.09-2019.09   杜克大学（美国）      访学博士  计算机系统结构

  2012.09-2014.06   湖南大学             硕士    软件工程

  2011.09-2012.06   湖南大学         在职硕士学习   软件工程

  2006.09-2010.06   湖南大学             学士    软件工程

 工作经历:

  2020.09-至今    广东工业大学计算机学院

  2010.07-2011.08   在私企从事操作系统内核软件移植工作

 发表论文:

1. Bosheng Liu, Zhuoshen Jiang, Yalan Wu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, and Yinhe Han, “Frequency-domain Inference Acceleration for Convolutional Neural Networks using ReRAMs,” Transactions on Parallel and Distributed Systems (TPDS), DOI: 10.1109/TPDS.2023.3322907, 2023.  (CCF-A)

2. Bosheng Liu, Xiaoming Chen, Yinhe Han, Jigang Wu, Liang Chang, Peng Liu, Haobo Xu, "Search-free Inference Acceleration for Sparse Convolutional Neural Networks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, DOI: 10.1109/TCAD.2021.3102191. (CCF-A)

3. Bosheng Liu, Zhuoshen Jiang, Jigang, Wu, Xiaoming Chen, Yinhe Han, and Peng Liu, “F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM”, Design Automation Conference, pp. 571-576, 2021. (CCF-A)

4. Bosheng Liu, Xiaoming Chen, Yinhe Han, and Haobo Xu, “Swallow: A Versatile Accelerator for Sparse Neural Networks”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp.4881-4893, 2020. (CCF-A)

5. Bosheng Liu, Xiaoming Chen, Yinhe Han, Jiajun Li, Haobo Xu, and Xiaowei Li, “Accelerating DNN-based 3D Point Cloud Processing for Mobile Computing”, SCIENCE CHINA Information Sciences, 2019, 62(212102): 1-212102. (CCF-A)

6. Jiasong Chen, Zeming Xie, Weipeng Liang, Bosheng Liu* (通信), Xin Zheng, Jigang Wu, Xiaoming Xiong, “Quantization-aware Optimization Approach for CNNs Inference on CPUs”, accepted, ASP-DAC, 2024. (CCF-C)

7. Yuanli Zhong, Yongqi Xu, Bosheng Liu*(通信), Yibing Tang, and Jigang Wu, “Accelerating Event-based Deep Neural Networks via Flexible Data Encoding”, IEICE Electronics Express, pp. 20230379-20230379, 2023.

8. Bosheng Liu, Hongyi Liang, Jigang Wu, Xiaoming Chen, Peng Liu, Yinhe Han, “Accelerating Convolutional Neural Networks in Frequency Domain via Kernel-sharing Approach,” DOI: 10.1145/3566097.3567862, ASP-DAC, 2023. (CCF-C)

9. Bosheng Liu, Xiaoming Chen, Yinhe Han, and Liang Chang, “Efficient Accelerator Architecture for Optical Flow Estimation”, SCIENTIA SINICA Informationis, 2021, DOI: 10.1360/SSI-2020-0323

10. Bosheng Liu, Xiaoming Chen, Yinhe Han, Ying Wang, Jiajun Li, Haobo Xu, and Xiaowei Li, “Search-free Accelerator for Sparse Convolutional Neural Networks”, Proceedings of the 25rd Asia and South Pacific Design Automation Conference (ASP-DAC), 524-529, 2020. (CCF-C)

11. Bosheng Liu, Xiaoming Chen, Ying Wang, Yinhe Han, Jiajun Li, Haobo Xu, and Xiaowei Li, “Addressing the Issue of Processing Element Under-Utilization in General-Purpose Systolic Deep Learning Accelerators”, Proceedings of the 24rd Asia and South Pacific Design Automation Conference (ASP-DAC), 733-738, 2019. (CCF-C)

12. Bosheng liu, Ying Wang, Zhiqiang You, Yinhe Han, and Xiaowei Li, “A signal degradation reduction method for memristor ratioed logic (MRL) gates”, IEICE Electronics Express, 2015, WOS:000358123700002. (SCI)

科研项目:   

 主持国家自然科学基金青年基金、广东省自然科学基金-面上项目、区域联合基金-青年基金项目、广州市基础与应用基础研究项目、计算机体系结构国家重点实验室开放课题等近10项课题。