Zhuolin Yi — accepted AI-conference papers

2026

Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection

Jun Xue, Tong Zhang, Zhuolin Yi, Yihuan Huang, Yi Chai, Yiyang Zhang +1

IJCAI 2026

The rapid advancement of generative AI has made audio deepfakes increasingly indistinguishable from authentic human vocals, posing significant threats to persons-of-interest (POI) such as public figures. Current detection systems primarily rely on generic, black-box models that fail to capture speak

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2026

When AVSR Meets Video Conferencing: Dataset, Degradation, and the Hidden Mechanism Behind Performance Collapse

Yihuan Huang, Jun Xue, Liu Jiajun, Daixian Li, Tong Zhang, Zhuolin Yi +2

CVPR 2026

Audio-Visual Speech Recognition (AVSR) has achieved remarkable progress in offline conditions, yet its robustness in real-world video conferencing (VC) remains largely unexplored. This paper presents the first systematic evaluation of state-of-the-art AVSR models across mainstream VC platforms, reve

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