Qingkai Fang
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolQingkai Fang is a Ph.D. candidate in Natural Language Processing at the University of Chinese Academy of Sciences, graduating in June 2026, with eight years of research experience across speech, vision and multimodal language models. He has authored over 10 papers at top venues (NeurIPS/ICLR/ACL/EMNLP), eight as first author, and has industry research internships at ByteDance, Peking University, and UCAS focused on end-to-end speech translation, multimodal machine translation, and pose-aware vision tasks. Qingkai blends deep academic rigor with applied impact—one of his first-author works was accepted at ACL 2022 during his ByteDance internship—and consistently moves ideas from prototype to peer-reviewed publication. Based in Haidian District, Beijing, he combines strong theoretical foundations with practical system-building skills and a top undergraduate GPA (3.83/4.0) from Beijing University of Posts and Telecommunications. Colleagues would note his knack for integrating speech and visual modalities into scalable translation systems, making him well suited for research roles that bridge core modeling and deployment.
9 years of coding experience
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at University of Chinese Academy of SciencesBachelor's degree, Computer Science and Technology, 3.83/4.0, Bachelor's degree, Computer Science and Technology, 3.83/4.0 at 北京邮电大学
Github Skills (37)
speech-to-text10
artificial-intelligence10
python10
text-to-speech10
speech-synthesis10
voice-conversion10
speech10
vocoder10
low-latency9
pytorch9
large-language-models9
deep-learning9
chatbot9
foundation-models9
sequence-to-sequence9
Programming languages (4)
Github contributions (5)
Poeroz/wordgame
Apr 2019 - Apr 2020
Contributions:45 commits, 2 pushes in 1 year
ictnlp/PLUVR
Mar 2022 - May 2022
Code for ACL 2022 main conference paper "Neural Machine Translation with Phrase-Level Universal Visual Representations".
Contributions:9 commits, 2 PRs, 8 pushes in 2 months
neural-machine-translation
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