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Jiang Liu

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Open access Sep 2026

SurgDepth: Test-Time Adaptation of Depth Foundation Models for Surgical Scene Understanding.

Through the first systematic study of TTA for dense depth regression (eight baselines), it is shown that existing TTA methods consistently fail in this setting: entropy-based methods degrade regardless of the number of adapted parameters, and temporal-photometric adaptation diverges on non-rigid tissue.

Sheng-Yao Wang, Jun-Pei Xue, Xin Zhong et al. · 1 citation
Preprint Sep 2026

The Vulnerability of Neural Audio Watermarks under Speech Enhancement

Neural audio watermarks are increasingly deployed in commercial speech generation systems to make AI-generated speech traceable, yet their robustness has been studied mainly under conventional signal distortions. Since a watermark can be regarded as imperceptible noise added to the speech signal, a natural question is...

Xin Zhong, Sheng-Yao Wang, Ling-Feng Yao et al. · 0 citations
#natural language process... Preprint Sep 2026

A Novel Semantic Manifold Alignment Attack against Embedding-to-Embedding Obfuscation in Privacy-Preserving LLMs

Proxy Manifold Alignment (PMA), a novel attack against E2EO in privacy-preserving LLMs, which employs Word2Vec to model the co-occurrence patterns within the obfuscated stream and the public corpus independently, and constructs two proxy vector embeddings.

Si-Cong Li, Ling-Feng Yao, Xing-Ke Yang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation

PhysWave unifies natural-language and trajectory control through a shared waypoint-caption representation, and augments diffusion training with two differentiable acoustic priors: spherical-harmonic direction consistency and inverse-square distance consistency that help generate spatially consistent FOA audio while mai...

Ling-Feng Yao, Chenpei Huang, Xing-Ke Yang et al. · 0 citations

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