Haiyue Song


About

Haiyue Song
  1. I'm a master student at Kyoto University.
  2. Research mainly in Natural Language Processing and Approximate Computing.

News

  1. July, 2018
    Our paper “Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators”is accepted to be published in ACM/IEEE International Conference on Computer-Aided Design(ICCAD).

Education

  1. Oct. 2018 - present
    Master: Kurohashi-Kawahara Lab, Graduate School of Informatics, Kyoto University, Japan
  2. Sep. 2014 - Jun. 2018
    Undergraduate:
    Advanced Computer Architecture Laboratory, Computer Science and Engineering, Shanghai Jiao Tong University, China

Publication

  1. Haiyue Song, Li Jiang, Chengwen Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang and Qiang Xu. Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. Accepted by ACM/IEEE International Conference on Computer-Aided Design, ICCAD 2019.(pdf)

  2. Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, and Li Jiang. A FPGA friendly approximate computing framework with hybrid neural networks: (abstract only). In Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2018, Monterey, CA, USA, February 25-27, 2018, page 286, 2018.(poster)