I am a Ph.D. candidate in Computer Science at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), advised by Professor Zhizheng Wu and Professor Haizhou Li.

My research focuses on trustworthy speech and audio intelligence, especially audio deepfake detection, spoken misinformation detection, speaker verification security, and audio language models. I am interested in building reliable AI systems that can detect, explain, and defend against synthetic or adversarial audio in realistic scenarios.

Before joining CUHK-Shenzhen, I received my master’s degree from Peking University (北京大学), where I worked on spoken keyword spotting and speaker verification with Professor Yuexian Zou (邹月娴). I received my bachelor’s degree from University of Electronic Science and Technology of China (电子科技大学), majoring in Software Engineering.

My work has appeared in IEEE/ACM TASLP, ICLR, IEEE SLT, ICASSP, and Interspeech. My recent first-author paper GenTraceBench was accepted by IEEE ISCSLP 2026, and my first-author manuscript RealComm was submitted to IEEE/ACM TASLP. I have also worked on industry-facing speech and audio projects with Huawei, ByteDance, Tencent AI Lab, Xiaomi, Shenzhen Research Institute of Big Data, and International Digital Economy Academy.

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