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researcher

Fei Zhao

The University of Alabama at Birmingham

4 papers hereh-index 5426 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1
  • cs.MM1
affiliations
  • The University of Alabama at Birmingham
ORCID 0009-0003-8535-4923
same name
  • Fei Zhao — 4 papers, h 4
  • Fei Zhao — 4 papers, h 2
  • Fei Zhao — 3 papers, h 3
  • Fei Zhao — 3 papers, h 12
  • Fei Zhao — 3 papers, h 1
  • Fei Zhao — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AI2026

Beyond Decision Boundaries: Relational Geometry Attacks on Contrastive Embedding Manifolds

Fei Zhao, Peiyuan Zhang, Xi Li +2

Contrastive learning and Siamese embedding models have become the foundation of modern verification systems, where decisions are governed not by discrete classification boundaries,…

cs.LG2026

Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards

Xi Li, Shu Zhao, Xiaohan Zou +6

Multi-modal large language models (MLLMs) integrate heterogeneous modalities through modality alignment and fusion, enabling stronger understanding and reasoning. However, this arc…

cs.CV2025

MarkMatch: Same-Hand Stuffing Detection

Fei Zhao, Runlin Zhang, Chengcui Zhang +1

We present MarkMatch, a retrieval system for detecting whether two paper ballot marks were filled by the same hand. Unlike the previous SOTA method BubbleSig, which used binary cla…

cs.MM2025

Mitigating Image Captioning Hallucinations in Vision-Language Models

Fei Zhao, Chengcui Zhang, Runlin Zhang +2

Hallucinations in vision-language models (VLMs) hinder reliability and real-world applicability, usually stemming from distribution shifts between pretraining data and test samples…

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