Dakuo Wang

Dakuo Wang

Associate Professor

Northeastern University

About Me

Dakuo Wang is an Associate Professor at Northeastern University, jointly appointed in Khoury College of Computer Sciences and the College of Arts, Media and Design. He leads the Northeastern University Human-Centered AI Lab (NEU HAI) and was the Founding Director for the AI Applications Graduate Program. He is also a Visiting Scholar at Stanford University, an Amazon Scholar, and a Microsoft Faculty Advisor. His research develops and evaluates human-centered AI systems for health, education, and collaborative work, with the goal of democratizing AI through effective human-AI collaboration. Our work is currently supported by NSF 2302730, NIH R01CA301579, R01HD120364, R01AI188576, R01MD018424, VA/HSR IIR 22-204, Microsoft Research, and Amazon.

Previously, Dakuo was a Senior Staff Member at IBM Research and Principal Investigator at the MIT-IBM Watson AI Lab. He received his Ph.D. from the University of California, Irvine (advisors: Judith Olson and Gary Olson), and has worked as a designer, researcher, and engineer in the U.S., China, and France. ACM has recognized him as an ACM Distinguished Speaker.

NEU HAI is hiring: for the 2026-27 academic year, we are recruiting about 5 PhD students and 1 research scientist/postdoc. Before applying, please first read our lab norms; if you agree with them, apply via this form.

Our full, up-to-date publication list is on the NEU HAI lab website; see also Google Scholar.

Interests
  • Human Computer Interaction
  • Human-AI Collaboration
  • Natural Language Processing
  • Health Informatics
  • Data Science
  • Computer-Supported Cooperative Work
Education
  • PhD in Information and Computer Sciences

    University of California Irvine

  • MS in Electrical and Computer Engineering

    University of California Irvine

  • MS in Information System

    École centrale d’électronique, Paris

  • BS in Computer Science

    Beijing University of Technology

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Publications

Showing the 5 most recent. See all publications or the NEU HAI lab list.
(2026). Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs. NeurIPS 2026.

arXiv

(2026). SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation. NeurIPS 2026.

arXiv

(2026). StaRPO: Stability-Augmented Reinforcement Policy Optimization. NeurIPS 2026.

arXiv

(2026). PADFormer: Pose-Agnostic Anomaly Detection from Sparse View Images. ECCV 2026.

Springer arXiv