Assistant Professor · Computer Science · NYCU

An-Zi Yen顏安孜

Natural language processing · information retrieval · personal AI assistants

I lead the NYCU NLP Lab, where we build personalized, trustworthy, and efficient AI that brings together multimodal perception, knowledge, and reasoning to support people in daily life.

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An-Zi Yen
About

Dr. An-Zi Yen is an Assistant Professor in the Department of Computer Science at National Yang Ming Chiao Tung University. Her research interests include natural language processing and information retrieval, with a current focus on personal AI assistants that understand a person's situation and decide when and how to help.

Her work has been published in AAAI, EMNLP, WWW, SIGIR, and CIKM. She received the Honorable Mention of the ACLCLP Doctoral Dissertation Award in 2020 and was a distinguished PC member at IJCAI 2023. She served as web chair of SIGIR 2023 and as a PC member of AAAI, IJCAI, CIKM, and EACL.

Experience

  • Assistant Professor, Dept. of Computer Science, National Yang Ming Chiao Tung University
  • Postdoctoral Researcher, NLP Lab, National Taiwan University
  • Adjunct Assistant Professor, Dept. of Quantitative Finance, National Tsing Hua University
Welcome to NYCU NLP Lab

AI that reasons, adapts, and works with people.

Four research directions, one goal: AI that understands people and the world they live in, and helps them well.

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Peer-reviewed publications
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Distinct venues
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Papers at EMNLP & EACL 2026
Visit NYCU NLP Lab nycu-nlp-lab.github.io
Featured research
EgoArgusBenchmarking VLMs as situational assistants: which modality to trust?EMNLP 2026 VDAR-RouterRoute each query by its verbalized difficulty, not its words.EMNLP 2026 Findings PersonaEditPersonalize by editing the model with representative samples.EMNLP 2026 Findings MathEDUFeedback on every step of a student's solution.EACL 2026 Situational assistantsThe flagship series: real videos, EgoArgus and VISTA.Series →
Research

Four questions we keep coming back to.

Each direction links to the papers on the lab site.

Multimodal understanding & situated intelligence

How can AI integrate what it sees, hears, and reads to understand an environment, an event, and what the user needs right now?

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Personalization & adaptive intelligence

How can AI use personal knowledge and interaction history to adapt to each user and each task?

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Trustworthy reasoning & assistance

How can AI reason from evidence and give help that is understandable, checkable, and appropriate?

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Efficient & resource-aware AI

How can AI allocate models and data to what a task needs, balancing quality against cost?

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Publications

Full list.

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Honors & service

Recognition and community work.

Honors

  • Distinguished PC member, IJCAI 2023
  • MOST Postdoctoral Researcher Academic Research Award, 2021
  • Honorable Mention, ACLCLP Doctoral Dissertation Award, 2020
  • Honorary Membership, Phi Tau Phi Scholastic Honor Society, 2020

Service

  • Web chair, SIGIR 2023
  • PC member: AAAI, IJCAI, CIKM, EACL, EMNLP
Contact
Department of Computer Science,
National Yang Ming Chiao Tung University
azyen@nycu.edu.tw