Jingjing Zhou — accepted AI-conference papers

2026

STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models

Jingjing Zhou, Gaoxiang Cong, Li Su, Liang Li

AAAI 2026technical

Large Reasoning Models (LRMs) have advanced automated multi-step reasoning, but their ability to generate complex Chain-of-Thought (CoT) trajectories introduces severe privacy risks, as sensitive information may be deeply embedded throughout the reasoning process. Existing Large Language Models (LLM

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2024

FSD: An Initial Chinese Dataset for Fake Song Detection

Yuankun Xie, Jingjing Zhou, Xiaolin Lu, Zhenghao Jiang, Yuxin Yang, Haonan Cheng +1

ICASSP 2024accepted

Singing voice synthesis and singing voice conversion have significantly advanced, revolutionizing musical experiences. However, the rise of "Deepfake Songs" generated by these technologies raises concerns about authenticity. Unlike Audio DeepFake Detection (ADD), the field of song deepfake detection…

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