Haiyue SONG
Master student at Kyoto University. Internship researcher at NICT.
Natural Language Processing, Machine Translation
Email: song@nlp.ist.i.kyoto-u.ac.jp
Education
Kyoto University
Master of Intelligence Science and Technology, October 2018-present
Supervlsed by Professor Kurohashi at Kurohashi-Muwaraki Lab
Shanghai Jiao Tong University
Bachelor of Computer Science and Technology, September 2014-July 2018
Supervised by Professor Li Jiang at Advanced Computer Architecture Lab
Nagoya University
- Exchange program, October 2017-February 2018
Research
- Natural Language Processing: Machine Translation, Transfer Learning
- Computer Vision: Image Matting, Semantic Segmentation
- Computer Architecture: DNN Acceleration, Efficiency
Work experience
NICT
- Research internship, August 2020-
Research internship, October 2019-November 2019
- Supervised by Fujita and Raj Dabre at ASTREC
LINE
Internship at machine learning team, February 2019-March 2019
Publication
Google Scholar, DBLP, Research Gate, and ACL profile
Journal
- 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)
[paper], [bib]
International Conference
Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong (in alphabetical order).
A System for Worldwide COVID-19 Information Aggregation
ACL2020NLP-COVID19.
[paper (arXiv)], [poster], [flash presentation], [website], [github]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.279-285, Seattle, Washington, United States, (2020, 7).
[paper], [paper (arXiv_version)], [slides], [bib]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).
[paper], [bib]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).
[paper], [bib]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).
[paper], [slides], [bib]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).
[abstract], [poster], [bib]
Domestic Conference (non peer-reviewed)
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, 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, pp.1061-1064, 茨城, (2020.3).