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Zhibin Wen

4 papers hereh-index 13 citations5 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV1
  • cs.LG1
  • cs.MM1
  • cs.SD1
same name
  • Zhibin Wen — 2 papers, h 6

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 citedLearning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization

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

collaborators

4 papers

cs.SD2026

Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features

Yan Han, Zhibin Wen, Yuan Wang +4

The rapid advancement of AI music generators highlights the urgent need for reliable Synthetic Song Detection (SSD). Existing SSD methods often rely on low-level artifacts or fixed…

cs.CV2026

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

Tao Han, Zhibin Wen, Zhenghao Chen +4

While AI-based numerical weather prediction (NWP) enables rapid forecasting, generating high-resolution outputs remains computationally demanding due to limited multi-scale adaptab…

cs.LG2026

Fast and Accurate Probing of In-Training LLMs' Downstream Performances

Zhichen Liu, Tianle Lun, Zhibin Wen +7

The paradigm of scaling Large Language Models (LLMs) in both parameter size and test time has pushed the boundaries of AI capabilities, but at the cost of making the traditional ge…

cs.MM2024★ 1 cited

Learning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization

Zhibin Wen, Bin Li

The goal of Multilingual Visual Answer Localization (MVAL) is to locate a video segment that answers a given multilingual question. Existing methods either focus solely on visual m…

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