Scholar
Yue Huang
Google Scholar ID: HvzvvqQAAAAJ
PhD student, University of Notre Dame
trustworthy AI
generative model
machine learning
AI for science
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Citations & Impact
All-time
Citations
2,379
H-index
18
i10-index
22
Publications
20
Co-authors
1
list available
Contact
Email
yhuang37@nd.edu
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Publications
9 items
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs
2026
Cited
0
Dual Optimal: Make Your LLM Peer-like with Dignity
2026
Cited
0
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
2026
Cited
0
Position: General Alignment Has Hit a Ceiling; Edge Alignment Must Be Taken Seriously
2026
Cited
0
ProbeLLM: Automating Principled Diagnosis of LLM Failures
2026
Cited
0
Synthetic Interaction Data for Scalable Personalization in Large Language Models
2026
Cited
0
Capability-Oriented Training Induced Alignment Risk
2026
Cited
0
RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
2026
Cited
0
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Resume (English only)
Academic Achievements
Papers accepted at top-tier conferences including ICML'24, NAACL'24, ACM CCS'24, WWW'24, EMNLP'24, NeurIPS'24, ICLR'25, and NeurIPS'25
Four papers accepted to NeurIPS 2025; one paper (EmoNest) accepted to NeurIPS 2025 Creative AI Track
“Preference Leakage” won Best Paper Award at DIG-BUGs@ICML 2025
“PsychometricBench” won Best Paper Award at SciSocLLM@KDD'25
Selected as a participant in KAUST Rising Stars in AI Symposium 2025 (24 out of 300+ applicants)
Multiple papers accepted at ACL 2025, EMNLP 2025 Findings, CIKM 2025, COLM 2025, NAACL 2025 Demo, and CVPR 2025
Will co-present a tutorial on “Science of Trustworthy Generative Foundation Models” and organize a workshop at NeurIPS 2025
Co-authors
1 total
Xiangliang Zhang
Leonard C. Bettex Collegiate Professor, Computer Science and Engineering, University of Notre Dame
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