Haiyue SONG

Master student at Kyoto University. Research interest in Natural Language Processing.

Email: song[at]nlp.ist.i.kyoto-u.ac.jp

Looking for internship.



Education

Kyoto University

Shanghai Jiao Tong University

Nagoya University

  • Exchange program, October 2017-February 2018



Research

  • Natural Language Processing: Machine Translation
  • Computer Vision: Image Matting, Semantic Segmentation
  • Computer Architecture: DNN Acceleration



Work experience

NICT

LINE

  • Internship at machine learning team, February 2019-March 2019

  • Summary Report



Publication

  • Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi and Eiichiro Sumita. Pre-training via Leveraging Assisting Languages for Neural Machine Translation, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL2020SRW), pp., Seattle, Washington, United States, (2020, 7).

  • Haiyue Song, Raj Dabre, Atsushi Fujita and Sadao Kurohashi. Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation, Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC2020), pp.3640‑3649, Marseille, France, (2020.5).

  • Zhuoyuan Mao, Fabien Cromieres, Raj Dabre, Haiyue Song and Sadao Kurohashi. JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation, Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC2020), pp.3683‑3691, Marseille, France, (2020.5).

  • Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang. Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method, ACM Transactions on Design Automation of Electronic Systems (TODAES2019), pp.59:1-59:25, (2019.11)

  • Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang. Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators, In Proceedings of the International Conference on Computer-Aided Design (ICCAD2018), pp.50, San Diego, CA, USA, (2018.11).

  • Haiyue Song, Xiang Song, Tianjian Li, Hao Dong, Naifeng Jing, Xiaoyao Liang, 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 (FPGA2018), pp.286, Monterey, CA, USA, (2018.2).


Others

  • Haiyue Song, Raj Dabre, Atsushi Fujita ,Sadao Kurohashi. Domain Adaptation of Neural Machine Translation through Multistage Fine-Tuning, 言語処理学会第26回年次大会 (NLP2020), pp.461-464, 茨城, (2020.3).

  • Zhuoyuan Mao, Raj Dabre, Fabien Cromieres, Haiyue Song, 中尾 亮太, 黒橋 禎夫. ニューラル機械翻訳のための言語知識に基づくマルチタスク事前学習, 言語処理学会第26回年次大会 (NLP2020), pp.1061-1064, 茨城, (2020.3).