Fang Qingkai
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  • Research direction:

    natural language processing, machine translation, speech translation

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

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


[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