Students
Qingkai Fang
  • Email:
    fangqingkai21b@ict.ac.cn
  • Research direction:

    natural language processing, machine translation, speech translation


  • personal web sites:

Education

2021-present Institute of Computing Technology, Chinese Academy of Sciences, Ph.D

2017-2021 Beijing University of Posts and Telecommunications, Bachelor of Engineering


Thesis

[ACL 2022] Qingkai Fang, Yang Feng. Neural Machine Translation with Phrase-Level Universal Visual Representations.

[ACL 2022] Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang. STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation.

[EMNLP 2022] Zhe Yang, Qingkai Fang, Yang Feng. Low-resource Neural Machine Translation with Cross-modal Alignment.


Awards and Honors

Projects