activity
20232026
most citedEvading DeepFake Detectors via Adversarial Statistical Consistency

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

collaborators

5 papers

cs.SD2026

Prime-EVC: One-Step Expressive Emotional Voice Conversion via Emotion-Primed Flow Matching

Yu Pan, Xiaojuan Cai, Liang Zhang +7

Recent diffusion- and conditional flow matching (CFM)-based emotional voice conversion (EVC) systems achieve strong conversion quality. However, they typically rely on multiple sam…

cs.CL2026

Conditioned in Training, Dispensable at Inference: Typological Conditioning for Multilingual Speech Translation

Yu Pan, Tianjiao Zhang, Yang Hou +5

Multilingual speech translation frontends built on speech large language models typically condition on language identity, as a learned embedding or a prompted language name. Such a…

cs.CV2025

Zero-shot Face Editing via ID-Attribute Decoupled Inversion

Yang Hou, Minggu Wang, Jianjun Zhao

Recent advancements in text-guided diffusion models have shown promise for general image editing via inversion techniques, but often struggle to maintain ID and structural consiste…

cs.SD2024

PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset

Yang Hou, Haitao Fu, Chuankai Chen +3

With the rapid advancement of generative AI, multimodal deepfakes, which manipulate both audio and visual modalities, have drawn increasing public concern. Currently, deepfake dete…

cs.CV2023★ 4 cited

Evading DeepFake Detectors via Adversarial Statistical Consistency

Yang Hou, Qing Guo, Yihao Huang +3

In recent years, as various realistic face forgery techniques known as DeepFake improves by leaps and bounds,more and more DeepFake detection techniques have been proposed. These m…