郭怡

研究领域

低功耗集成电路设计、近似计算、可容错应用设计

研究概况

郭怡，硕士生导师，“云南省兴滇英才计划”青年人才。2016年毕业于四川大学（软件工程学士学位）；2017年、2021年分别获得日本早稻田大学集成电路设计专业硕士学位、博士学位（国家公派留学）。长期致力于高性能、新兴计算集成电路设计方向的研究，针对后摩尔时代计算芯片的设计挑战，聚焦高能效近似电路设计、可容错应用设计、电路-应用协同设计等方面的研究。多篇论文发表于领域内高水平国际会议及刊物。

研究课题

云南省基础研究专项-面上项目，多尺度低成本运算电路的高能效设计方法研究，2025.03-2028.02

云南省基础研究专项-青年项目，面向可容错应用的近似计算集成电路设计方法研究，2023.06-2026.05

云南省教育厅科学研究基金项目-教师类项目，基于近似计算的低功耗乘法器的设计方法研究，2023.03-2025.03

云南省智能系统与计算重点实验室开放课题，近似运算电路的设计方法及其精度补偿策略研究，2024.07-2025.06

云南省智能系统与计算重点实验室开放课题，面向智能应用的高性能运算电路的设计方法研究，2022.07-2023.07

奖励与荣誉

云南省兴滇英才支持计划——青年人才  2022年

日本东芝记忆公司-早稻田大学联合青年科研奖励项目——优秀研究者 2020年

IEICE Excellent student author award for ASP-DAC   2020年

学术成果

[1] Yi Guo*, Qilin Zhou, Xiu Chen, and Heming Sun, Hardware-Efficient Multipliers With FPGA-Based Approximation for Error-Resilient Applications, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 71, no. 12, pp. 5919-5930, 2024. (中科院一区，电路与系统顶级刊物)

[2] Yi Guo*, Qilin Zhou, Xiu Chen, and Heming Sun, “High-Efficiency FPGA-Based Approximate Multipliers with LUT Sharing and Carry Switching”, Design, Automation, and Test in Europe (DATE), pp. 1-2, 2024. (EDA领域顶级会议, CCF-B)

[3] Yi Guo*, Xiu Chen, Qilin Zhou, and Heming Sun, “Power-Efficient and Small-Area Approximate Multiplier Design with FPGA-Based Compressors”, International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2024. (电路与系统领域旗舰会议, CCF-C)

[4] Yi Guo*, Heming Sun, Ping Lei, and Shinji Kimura, Approximate FPGA-Based Multipliers using Carry-Inexact Elementary Modules, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E103-A(09):1054-1062, 2020. 

[5] Yi Guo*, Heming Sun, and Shinji Kimura, Small-Area and Low-Power FPGA-Based Multipliers using Approximate Elementary Modules, Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 599-604, 2020. (EDA领域顶级会议, CCF-C)

[6] Yi Guo*, Heming Sun, Ping Lei, and Shinji Kimura, Design of Low-Cost Approximate Multipliers Based on Probability-Driven Inexact Compressors, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E102-A No.12, pp. 1781-1791, Dec. 2019.  

[7] Yi Guo*, Heming Sun, and Shinji Kimura, Energy-Efficient and High-Speed Approximate Signed Multipliers with Sign-Focused Compressors, 2019 IEEE 32nd IEEE International System-on-Chip Conference (SOCC), pp. 330-335, Singapore, Sept. 2019.

[8] Yi Guo*, Heming Sun, Li Guo, and Shinji Kimura, Low-Cost Approximate Multiplier Design using Probability-Driven Inexact Compressors, 2018 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp. 291-294, Chengdu China, Oct. 2018.

[9] Yi Guo*, Heming Sun, and Shinji Kimura, Design of Power and Area Efficient Lower-Part-OR Approximate Multiplier, IEEE Region 10 Conference (TENCON), pp. 2110-2115, Jeju Korea, Oct. 2018.

[12] Xin He, Daipeng Yao, Zongni Tu, and Yi Guo*, HALMF: High-performance Approximate Logarithmic Multiplier based on FPGA, 2025 5th International Conference on Electronics, Circuits and Information Engineering (ECIE), Guangzhou, China, May 2025.

[13] Daipeng Yao, Haoyi Xin, Xuetao Li, and Yi Guo*, FPGA-Based Hardware Efficient Approximate Floating-Point Multiplier With LUT-Oriented Unit, 2025 5th International Conference on Electronics, Circuits and Information Engineering (ECIE), Guangzhou, China, May 2025.

[10] Junjie Huang, Xilong Liu*, and Yi Guo, Laser Charging-facilitated UAV Far-field Wireless Charging for WRSN, 2024 Asia Conference on Power and Electrical Engineering (ACPEE), pp. 2647-2652, 2024. 

[11] Renrui Duan*, Mingtao Zhang, Yi Guo, Shinichi Nishizawa, Shinji Kimura, A Hardware-Efficient Approximate Multiplier Combining Inexact Same-weight N: 2 Compressors and Remapping Logic with Error Recovery, 2023 IEEE 36th International System-on-Chip Conference (SOCC), pp. 1-6, 2023.