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Yinglong Wang

4 papers hereh-index 4187 citations8 works total

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

author position
  • middle author1
  • last author2

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

fields
  • cs.CV3
  • cs.IR1
same name
  • Yinglong Wang — 8 papers, h 11
  • Yinglong Wang — 3 papers
  • Yinglong Wang — 3 papers, h 13
  • Yinglong Wang — 2 papers, h 1
  • Yinglong Wang — 1 paper, h 3
  • Yinglong Wang — 1 paper

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 citedSF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2026★ 1 cited

SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering

Rui Yu, Tianyi Wang, Ruixia Liu +1

Efficient question-answering (QA) over extensive scientific literature is essential for evidence-based engineering decision-making. Retrieval-augmented generation (RAG) is increasi…

cs.CV2026

Word-Anchored Temporal Forgery Localization

Tianyi Wang, Xi Shao, Harry Cheng +2

Current temporal forgery localization (TFL) approaches typically rely on temporal boundary regression or continuous frame-level anomaly detection paradigms to derive candidate forg…

cs.CV2025

A Spatial-Frequency Aware Multi-Scale Fusion Network for Real-Time Deepfake Detection

Libo Lv, Tianyi Wang, Mengxiao Huang +2

With the rapid advancement of real-time deepfake generation techniques, forged content is becoming increasingly realistic and widespread across applications like video conferencing…

cs.CV2025

NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping

Tianyi Wang, Harry Cheng, Xiao Zhang +1

Suffering from performance bottlenecks in passively detecting high-quality Deepfake images due to the advancement of generative models, proactive perturbations offer a promising ap…

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