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Yequan Wang

11 papers hereh-index 688 citations14 works total

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

author position
  • first author1
  • middle author7
  • last author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV4
  • cs.AI1
  • cs.LG1
same name
  • Yequan Wang — 14 papers, h 4
  • Yequan Wang — 9 papers, h 5
  • Yequan Wang — 9 papers, h 11
  • Yequan Wang — 4 papers, h 3
  • Yequan Wang — 3 papers, h 9
  • Yequan Wang — 1 paper, h 2

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

activity
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples

Shiyu Wu, Shuyan Li, Jing Li +2

AI-generated image (AIGI) attribution presents a pressing challenge that goes beyond mere AIGI detection, aiming to identify the source model or technique responsible for a synthet…

cs.CV2026

VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis

Shiyu Wu, Mingzhen Sun, Weining Wang +2

The notable gap between user-provided and model-preferred prompts poses a significant challenge for generating high-quality images with text-to-image models, compelling the need fo…

cs.CV2026

LocateEdit-Bench: A Benchmark for Instruction-Based Editing Localization

Shiyu Wu, Shuyan Li, Jing Li +2

Recent advancements in image editing have enabled highly controllable and semantically-aware alteration of visual content, posing unprecedented challenges to manipulation localizat…

cs.CV2025

Few-Shot Learner Generalizes Across AI-Generated Image Detection

Shiyu Wu, Jing Liu, Jing Li +1

Current fake image detectors trained on large synthetic image datasets perform satisfactorily on limited studied generative models. However, these detectors suffer a notable perfor…

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