Yuwei Yin

Yuwei Yin

Adventurer | Seeker

University of British Columbia

Biography

Mr. Yuwei Yin is a graduate student in the UBC NLP Group at the Department of Computer Science, Faculty of Science, University of British Columbia. Currently, his research interest is to realize automatic natural language understanding by focusing on human cognition and language acquisition mechanisms with the help of interdisciplinary clues from linguistics, psychology, cognitive science, neuroscience, biology, and more. His long-term goal is to empower AI with a brain on par with human intelligence (if it exists) and let AI, as a tool or interface, enable people to know human beings better and explore the magnificent universe. Feel free to reach out. (MISC)

Résumé / 中文简历

Interests
  • Intelligence & Linguistics
  • Neuroscience & Metaphysics
  • Cosmology & Astrophysics
Education
  • M.Sc. in Computer Science, 2024--2026

    The University of British Columbia

  • B.Eng. in Computer Sci. & Tech., 2014--2018

    Beijing Information Science & Technology University

Work Experience

 
 
 
 
 
The University of British Columbia
Research Assistant & Teaching Assistant
Jan 2024 – Present Vancouver, BC, Canada
  • Affiliation: UBC NLP Group, Department of Computer Science, Faculty of Science
  • Position: Research Assistant & Teaching Assistant (Full-time, Onsite, Paid)
  • Duty: Conducting research on natural language processing; TA in UBC CS courses.
 
 
 
 
 
The University of Hong Kong
Research Assistant
Oct 2022 – Dec 2023 Pokfulam, Hong Kong
  • Affiliation: HKU NLP Group, Department of Computer Science, Faculty of Engineering
  • Position: Research Assistant (Full-time, Onsite, Paid)
  • Duty: Conducted research on multimodal natural language processing and FinTech.
 
 
 
 
 
Microsoft Research
Research Intern
Nov 2020 – Sep 2021 Haidian, Beijing, China
  • Affiliation: Natural Language Computing (NLC) Group, Microsoft Research Asia (MSRA)
  • Position: Research Intern (Full-time, Onsite, Paid)
  • Duty: Conducted research on multilingual neural machine translation.

Honors

Award of Excellence in Starts of Tomorrow Internship Program
Outstanding Graduate Award
National Scholarship
National Scholarship

Publications

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(2024). MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction. In ESWA.

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(2024). m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt. In LREC-COLING 2024.

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(2023). GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. In ACL 2023.

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(2023). HanoiT: Enhancing Context-aware Translation via Selective Context. In DASFAA 2023.

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(2022). CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation. In EMNLP 2022 Findings.

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(2022). GTrans: Grouping and Fusing Transformer Layers for Neural Machine Translation. In IEEE TASLP.

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(2022). High-resource Language-specific Training for Multilingual Neural Machine Translation. In IJCAI 2022.

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(2022). UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine Translation. In IJCAI 2022.

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(2021). Improving Multilingual Neural Machine Translation with Auxiliary Source Languages. In EMNLP 2021 Findings.

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(2021). Multilingual Agreement for Multilingual Neural Machine Translation. In ACL 2021.

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