Intro

I'm an upcoming PhD student in the MINE-Lab at the University of Notre Dame, working with Prof. Xiangliang Zhang. Prior to joining ND, I received my Master degree from Institute of Automation Chinese Academy of Sciences (CASIA), mentored by Prof. Jianhua Tao and Beijing Jiaotong University (BJTU), advised by Prof. Mangui Liang in 2024, and won the Outstanding M.S. Dissertation Award from the BJTU. During my M.S. study, I worked as a short-term interning student at the UNC Chapel Hill, collaborated with Prof. Huaxiu Yao and Prof. Mohit Bansal.

For my long-term research goal, I aim to encompass broad research fields to understand humans and impact our real lives through ever-evolving embodied AI systems with multiple agents & modalities. In particular, I've been focusing on tackling practical and real-world challenges in various research domains, including continual learning, multimodal learning (w/ audio, video, language, etc), online/streaming learning, and LLMs.

Recent Preprints

(*: equal contribution)

[P1] Audio Deepfake Detection: A Survey

Jiangyan Yi, Chenglong Wang, Jianhua Tao, Xiaohui Zhang, Chuyuan Zhang, and Yan Zhao

arXiv 2023

Paper BibTeX

@article{yi2023deepfake,
    title={Audio Deepfake Detection: A Survey},
    author={Jiangyan Yi, Chenglong Wang, Jianhua Tao, Xiaohui Zhang, Chuyuan Zhang and Yan Zhao},
    journal={arXiv preprint arXiv:2308.14970},
    year={2023},
}