Curriculum Vitae

Yue Huang

A short record of education, experience, recognition, and service.

Education

Ph.D. in Computer Science & Engineering
University of Notre Dame
2024 — Present
B.Eng. in Cybersecurity
Sichuan University
2020 — 2024

Experience

Research Scientist Intern
Microsoft Research
2026
Researcher
Cornell University
2025 Aug — Dec
Research Intern
MIT-IBM Watson AI Lab · IBM Research
2025 May — Aug
Research Intern
Tsinghua University KEG
2023 — 2024

Talks & Tutorials

Jan 2026
Conference Tutorial: Towards Trustworthy and Socially Responsible Generative Foundation Models
@ AAAI 2026
Dec 2025
Conference Tutorial: Science of Trustworthy Generative Foundation Models
@ NeurIPS 2025
Nov 2025
Conference Tutorial: Responsible Generative Foundation Models — From Principles to Real-World Impact
@ ICDM 2025
Nov 2025
Conference Tutorial: Generative Models for Synthetic Data — Transforming Data Mining in the GenAI Era
@ CIKM 2025
Nov 2025
Conference Tutorial: Socially Responsible and Trustworthy Generative Foundation Models
@ CIKM 2025
May 2025
Toward Socially Impactful and Trustworthy Generative Foundation Models
@ University of Illinois Urbana-Champaign · Host: Heng Ji & Chi Han
Apr 2025
On the Trustworthiness of Generative Foundation Models
@ KAUST Rising Stars in AI Symposium
Mar 2025
Guest Lecture: Trustworthiness in Large Language Models
@ University of Virginia · Instructor: Chirag Agarwal
Feb 2025
Guest Lecture: Toward Socially Impactful and Trustworthy Generative Foundation Models
@ University of Southern California · Instructor: Jieyu Zhao
Jul 2024
Bias of Large Language Models
@ Technical University of Munich
Feb 2024
Trustworthiness in Large Language Models
@ IBM Research

Honors & Awards

Jun 2026 KDD 2026 Student Travel Grant
Mar 2026 CHI 2026 Honourable Mention Award
Dec 2025 Tinker Research Grant
Nov 2025 Jetstream2 NAIRR AI Fellow
Aug 2025 NSF Discover ACCESS Project
Aug 2025 NSF POSE Training Award (Industry Mentor)
Jul 2025 Best Paper Award · SciSocLLM @ KDD 2025
Jul 2025 Best Paper Award · DIG-BUG @ ICML 2025
Jan 2025 KAUST AI Rising Star
Jul 2024 OpenAI Researcher Access Program
Jun 2024 Elite Student · Sichuan University Cyber Science
Jan 2024 Microsoft Accelerate Foundation Models Research

Recognition & Impact

Government & Policy

U.S. Department of Homeland Security
TrustLLM highlighted in this report.
International AI Safety Report
TrustLLM cited in both the 2025 and 2026 editions — elevated to a core empirical source on persistent deficiencies in truthfulness, safety, and robustness.
U.S. DoD CDAO Responsible AI Toolkit
TrustLLM listed in the official toolkit.
NIST AI 100-2e2025
TrustLLM featured in Section 3.6 of the official report.
FLI AI Safety Index
TrustLLM adopted as an official benchmark across all three editions: 2024, Summer 2025, Winter 2025.

Industry & National Labs

Salesforce · G7 Hiroshima AI Process Report
Adopted TrustLLM's trust & safety metrics (bias, privacy, robustness, etc.) to evaluate its AI models in its official G7 HAIP Transparency Report on the OECD.AI platform.
Lawrence Livermore National Laboratory
Profiled TrustLLM in Evaluating trust and safety of large language models.

Academia & Publications

Springer Textbook
TrustLLM received chapter-length treatment in Introduction to Foundation Models (2025, Ch. 12).
Hoover Institution
Featured TrustGen in their Technology Policy Accelerator.
Notre Dame–IBM Technology Ethics Lab
Selected TrustGen as a Collaborative Project; highlighted Justice or Prejudice? with an official feature and a tutorial video.

In the News

Science
Reported on lab safety risks research in Leading AI models miss dangerous lab risks.
New Scientist
Coverage in All major AI models risk encouraging dangerous science experiments.

Service

Workshop Organizer
NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM); KDD 2026 Workshop on Reliable Scientific Foundation Models (RelSciFM).
Journal Reviewer
Nature Communications, IEEE TAI, IEEE TDSC, IEEE TPAMI, IEEE/ACM TASLP, ACM TIST.
Conference Reviewer
NeurIPS, ICLR, ICML, AAAI, KDD, ICDM, WWW, COLM, ACL Rolling Review, EMNLP / NAACL / ACL Demo Tracks.
Technical Committee
2024 IEEE Computer Society North America Student Challenge.

Acknowledgment

My research is supported and recognized by partners and sponsors I deeply appreciate.

Sponsors

Personal

  • Spent 18 years in Fujian and four wonderful years in Sichuan (I can handle spicy food).
  • I enjoy exchanging ideas across fields — it helps me see the world more broadly.
  • Favorite singers: Eason Chan, Steve Chou; lately also Patti Tsai.
  • Favorite sports: swimming and badminton; I also enjoy capturing scenic moments with my camera.
  • Deeply grateful to those who have helped me along the way.