- 'Diffusion-Based Method with TTS Guidance for Foreign Accent Conversion', ISCSLP, 2024, Best Paper Award
- 'Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data', Interspeech, 2025
- 'Leveraging In-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition', ICASSP, 2024
- 'A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis', Interspeech, 2022
- 'LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT', Interspeech, 2022
- 'Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation', Interspeech, 2022
Research Experience
Conducted research in speech processing, particularly focusing on accent conversion during the PhD program.
Education
PhD: The Chinese University of Hong Kong, Shenzhen, advisors: Prof. Haizhou Li, Prof. Shuai Wang; Master's degree: Southern University of Science and Technology, advisors: Prof. Yu Zhang, Prof. Jimmy Liu, Prof. Tom Ko; Bachelor's degree: Central South University.
Background
Research interests: Speech processing, including speech representation learning, speech synthesis, and speech translation. Recent focus on accent conversion.
Miscellany
Open to discussing research work and potential collaborations.