About Me

Experience

• Tencent TEA-Lab Jun 2024 – Jul 2026
  Research Intern

  Accent conversion, spoken dialogue model

• ByteDance AI Lab Feb 2022 – Mar 2023
  Research Intern

  Speech-to-speech translation

Education

• The Chinese University of Hong Kong, Shenzhen 2023 – Present
  Ph.D. in Computer Science
• Southern University of Science and Technology 2020 – 2023
  M.Eng.
• Central South University 2016 – 2020
  B.Eng. in Electronic Engineering

Honors

• Best Paper Award 2024
  International Symposium on Chinese Spoken Language Processing (ISCSLP)
• SRIBD Ph.D. Fellowship 2023
  The Chinese University of Hong Kong, Shenzhen
• Excellent Teaching Assistant 2022
  Southern University of Science and Technology

Publications

• Controllable Accent Normalization via Discrete Diffusion

  Qibing Bai, Yuhan Du, Tom Ko, Shuai Wang, Yannan Wang, and Haizhou Li.

  Interspeech 2026 (Long Paper)

• TokAN: Accent Normalization Using Self-Supervised Speech Tokens

  Qibing Bai, Shuai Wang, Yuhan Du, Bohan Li, Yannan Wang, and Haizhou Li.

  Submitted to IEEE TASLP

• Bridging What the Model Thinks and How It Speaks: Expressive Speech Generation via Self-Aware Intent-Realization Alignment

  Kuang Wang, Lai Wei, Ping Lin, Qibing Bai, Wenkai Fang, Li Zhou, et al.

  Submitted to EMNLP 2026

• CosyAccent: Duration-Controllable Accent Normalization Using Source-Synthesis Training Data

  Qibing Bai, Shuhao Shi, Shuai Wang, Yukai Ju, Yannan Wang, and Haizhou Li.

  ICASSP 2026

• Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data

  Qibing Bai, Sho Inoue, Shuai Wang, Zhongjie Jiang, Yannan Wang, and Haizhou Li.

  Interspeech 2025

• Diffusion-Based Method with TTS Guidance for Foreign Accent Conversion

  Qibing Bai, Shuai Wang, Zhijun Liu, Mingyang Zhang, Wei Rao, Yannan Wang, and Haizhou Li.

  ISCSLP 2024 Best Paper Award

• LLaST: Improved End-to-End Speech Translation System Leveraged by Large Language Models

  Xi Chen, Songyang Zhang, Qibing Bai, Kai Chen, and Satoshi Nakamura.

  Findings of ACL 2024

• Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition

  Shuai Wang*, Qibing Bai*, Qi Liu, Jianwei Yu, Zhengyang Chen, Bing Han, Yanmin Qian, and Haizhou Li.

  ICASSP 2024

• A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis

  Qibing Bai, Tom Ko, and Yu Zhang.

  Interspeech 2022

• LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

  Rui Wang*, Qibing Bai*, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, and Haizhou Li.

  Interspeech 2022

• Leveraging Pseudo-Labeled Data to Improve Direct Speech-to-Speech Translation

  Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, and Yu Zhang.

  Interspeech 2022

* Equal contribution.