Hi, I received my Ph.D. from the School of Data Science, The Chinese University of Hong Kong, Shenzhen, in July 2026, supervised by Prof. Haizhou Li. Prior to that, I received my bachelor’s degree from Southern University of Science and Technology, supervised by Prof. Tom Ko. My research interests include speech large language models, automatic speech recognition, speech pre-training, speaker diarization, and speech separation. My work has been published at international AI conferences and journals including TASLP, NeurIPS, ICLR, ACL, EMNLP, and ICASSP.

📖 Education

  • 2022.09 - 2026.07, Ph.D., The Chinese University of Hong Kong, Shenzhen.
  • 2024.01 - 2025.01, Visiting Student, National University of Singapore.
  • 2016.09 - 2020.06, B.Eng, Southern University of Science and Technology.
  • 2018.09 - 2019.05, Visiting Student, the University of Edinburgh.

💻 Internships

  • 2025.05 - 2025.11, Full-Time Research Scientist Intern, Meta Superintelligence Labs (formerly GenAI), Speech Team. Conducted research on speech large language models and full-duplex spoken dialogue systems.
  • 2024.03 - 2025.05, Full-Time Intern, ByteDance Data Department (remote). Conducted research on speech large language models and spoken dialogue understanding, mentored by Dr. Xiaohai Tian.
  • 2023.01 - 2024.02, Part-Time Intern, ByteDance AI Lab (remote). Continued research on self-supervised speech representation learning, mentored by Prof. Tom Ko.
  • 2022.06 - 2022.12, Full-Time Intern, ByteDance AI Lab, Shenzhen. Worked on self-supervised speech representation learning and joint speech-and-text pre-training, mentored by Prof. Tom Ko.
  • 2021.06 - 2022.04, Full-Time Intern, MSRA NLC group, Beijing. Conducted research on joint speech and text pre-training, mentored by Dr. Shujie Liu.
  • 2019.06 - 2019.08, Machine Learning Intern, Tencent, Shenzhen.

📝 Publications (* denotes equal contribution)

📜 Preprints

🎖 Others

Reviewer

  • IEEE Transactions on Multimedia (TMM)
  • The International Conference on Learning Representations (ICLR)
  • The Conference on Neural Information Processing Systems (NeurIPS)
  • The Annual Meeting of the Association for Computational Linguistics (ACL)
  • The Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • IEEE Signal Processing Letters (SPL)
  • Computer Speech and Language
  • The International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • INTERSPEECH
  • International Joint Conference on Neural Networks (IJCNN)
  • National Conference on Man-Machine Speech Communication (NCMMSC)

Teaching

  • Leading TA, DDA3020 Machine Learning, Spring 2023
  • TA, CSC3100 Data Structures, Fall 2022