I am an Associate Professor in the Department of Intelligent Science at Xi’an Jiaotong-Liverpool University. I hold a Ph.D. in Acoustics from the Chinese Academy of Sciences and have previously worked at Brigham Young University, the University of Surrey, and Qualcomm. My research focuses on machine learning and signal processing for audio, speech, and acoustics. Since 2020, I have served as an Associate Editor for the Noise Control Engineering Journal and regularly review for top journals in the field.

My research interests include machine learning for audio and speech, spatial audio modeling, intelligent sound event detection and localization, active noise control, and data-driven acoustic signal processing. I am particularly interested in developing deep learning approaches, Audio and Speech Large Language Models (LLMs), and generative models to enhance sound environment analysis and control.

I completed my Ph.D. in Acoustics at the Chinese Academy of Sciences in 2013. Since then, I have held research and engineering positions at Brigham Young University, the Institute of Acoustics (CAS), the University of Surrey, and Qualcomm. Currently, I work in the Department of Intelligent Science at Xi’an Jiaotong-Liverpool University and as a Visiting Scholar at the University of Surrey.

INT402, Data Mining and Big Data Analytics

INT403, Spoken Language Processing

I have received several awards for my research contributions in sound event localization and detection, including:

• First place in the L3DAS22 Challenge Task 2 (“3D Sound Event Localization and Detection”)

• Third place in the DCASE 2023 Challenge Task 3B (“Sound Event Localization and Detection Evaluated in Real Spatial Sound Scenes”)

• Second place in the DCASE 2022 Challenge Task 3 (“Sound Event Localization and Detection Evaluated in Real Spatial Sound Scenes”)

• First place in the DCASE 2020 Challenge Task 5 (“Urban Sound Tagging with Spatiotemporal Context”)

• Second place in the DCASE 2019 Challenge Task 3 (“Sound Event Localization and Detection”)

I have also received the “Judges’ Award” and “Reproducible System Award” at the DCASE 2019 and 2020 workshops, recognizing the impact and reproducibility of my research.

In addition, during my doctoral research, I was awarded the National Scholarship and the Zhu-Li-Yue-Hua Outstanding Doctoral Scholarship for academic excellence.