Curriculum Vitae

Yue Huang

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

Education

2024 — Present

Ph.D. in Computer Science & Engineering

University of Notre Dame

2020 — 2024

B.Eng. in Cybersecurity

Sichuan University

Experience

2026 Summer

Research Scientist Intern

Microsoft Research

2025 Aug — Dec

Researcher

Cornell University

2025 May — Aug

Research Intern

MIT-IBM Watson AI Lab · IBM Research

2023 — 2024

Research Intern

Tsinghua University KEG

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

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

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 supporting the central finding on persistent deficiencies in truthfulness, safety, and robustness.
U.S. DoD CDAO Generative AI 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.
Lawrence Livermore National Laboratory. Profiled TrustLLM in Evaluating trust and safety of large language models.
Springer Textbook. TrustLLM received chapter-length treatment in Introduction to Foundation Models (2025, Ch. 12).
Hoover Institution Technology Policy Accelerator. 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.
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.

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.