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researcher

Zhe Yang

4 papers hereh-index 217 citations4 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CL1
same name
  • Zhe Yang — 9 papers, h 7
  • Zhe Yang — 5 papers, h 4
  • Zhe Yang — 5 papers, h 4
  • Zhe Yang — 3 papers, h 1
  • Zhe Yang — 2 papers, h 8
  • Zhe Yang — 2 papers, 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

collaborators

4 papers

cs.CV2026

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

Bo Du, Xiaochen Ma, Xuekang Zhu +8

Fake Image Detection (FID), aiming at unified detection across four image forensic subdomains, is critical in real-world forensic scenarios. Compared with ensemble approaches, mono…

cs.CV2026

Towards Generalized Image Manipulation Localization via Score-based Model

Yunfei Wang, Bo Du, Zhe Yang +4

With the rapid evolution of synthetic media, Image Manipulation Localization (IML) has emerged as a critical component in multimedia forensics for ensuring the integrity of digital…

cs.CV2026

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization

Bo Du, Xuekang Zhu, Xiaochen Ma +6

The field of Fake Image Detection and Localization (FIDL) is highly fragmented, encompassing four domains: deepfake detection (Deepfake), image manipulation detection and localizat…

cs.CL2025

Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning

Zhilin Wang, Zhe Yang, Yun Luo +8

Enhancing the ability of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) to interpret sheet music is a crucial step toward building AI musicians. However,…

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