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Zhihua Tian

4 papers hereh-index 355 citations4 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.CV1
  • cs.IR1
same name
  • Zhihua Tian — 2 papers, h 3
  • Zhihua Tian — 1 paper, h 2
  • Zhihua Tian — 1 paper, h 13

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

most citedDiagnosing and Repairing Citation Failures in Generative Engine Optimization

7 citations · 7 across the 1 of their papers we have counts for

collaborators

4 papers

cs.IR2026★ 7 cited

Diagnosing and Repairing Citation Failures in Generative Engine Optimization

Zhihua Tian, Yuhan Chen, Yao Tang +2

Generative Engine Optimization (GEO) aims to improve content visibility in AI-generated responses. However, existing methods measure contribution-how much a document influences a r…

cs.CR2025

Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation

Shengfang Zhai, Jiajun Li, Yue Liu +7

In recent years, text-to-image (T2I) diffusion models have gained significant attention for their ability to generate high quality images reflecting text prompts. However, their gr…

cs.CV2025

Sparse Autoencoder as a Zero-Shot Classifier for Concept Erasing in Text-to-Image Diffusion Models

Zhihua Tian, Sirun Nan, Ming Xu +5

Text-to-image (T2I) diffusion models have achieved remarkable progress in generating high-quality images but also raise people's concerns about generating harmful or misleading con…

cs.CR2025

Provably Robust Multi-bit Watermarking for AI-generated Text

Wenjie Qu, Wengrui Zheng, Tianyang Tao +6

Large Language Models (LLMs) have demonstrated remarkable capabilities of generating texts resembling human language. However, they can be misused by criminals to create deceptive…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.