Xiang Hao

CV

Xiang Hao (郝翔)

Ph.D. student, Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University.

Research Interests

AI and signal processing for hearing aids and assistive listening systems; speech enhancement, target speaker extraction, beamforming, auditory attention decoding, neuromorphic audio, and real-time edge deployment.

Education

  • The Hong Kong Polytechnic University, Ph.D. Candidate in Data Science and Artificial Intelligence, May 2023 - Expected 2027.
    Research focus: AI and signal processing for hearing technologies, with an emphasis on ultra-low-power speech enhancement and assistive listening.
    Supervisors: Prof. Jibin Wu and Prof. Kay Chen Tan.

  • The Chinese University of Hong Kong, Ph.D. Student in Systems Engineering and Engineering Management, Sept. 2021 - Nov. 2022.
    Research focus: Environmentally robust automatic speech recognition.
    Supervisor: Prof. Xunying Liu.

  • Inner Mongolia University, M.Sc. in Computer Science, Sept. 2018 - Jun. 2021.
    Thesis: Multi-channel speech enhancement using constrained optimization and deep learning.
    Supervisor: Prof. Xiangdong Su.

Research Experience

  • Visiting Research Student, MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK, Sept. 2026 – Present.
    Working closely with Dr. François Guérit and Dr. Lidea Shahidi on machine-learning approaches for optimizing cochlear-implant coding strategies, within Dr. Bob Carlyon’s research group.

  • Visiting Research Student, Westlake University, Hangzhou, China, Jun. 2020 – Dec. 2020.
    Mentored by Prof. Xiaofei Li. Developed FullSubNet, an open-source full-band and sub-band fusion model for real-time speech enhancement with 600+ GitHub stars.

Industry Experience

  • Research Intern, Tencent AI Lab, Shenzhen, China, Mar. 2023 - Mar. 2024.
    Mentored by Dr. Jianwei Yu. Worked on text-guided target speaker extraction for multi-talker scenarios.

  • Research Intern, Tencent Ethereal Audio Lab, Shenzhen, China, Dec. 2020 - Jun. 2021.
    Mentored by Dr. Yannan Wang. Worked on neural beamforming and real-time speech enhancement for communication scenarios.

  • Research Intern, Sogou Inc., Beijing, China, Jul. 2019 - Oct. 2019 and Feb. 2020 - Jun. 2020.
    Worked on speech enhancement and target speaker extraction, including a two-stage masking and inpainting approach for low-SNR conditions.

  • Development Intern, Meituan, Beijing, China, Mar. 2016 - Sept. 2016.
    Developed front-end data visualization components with React and Node.js.

Selected Awards

  • Winner, The Clarity Enhancement Challenge CEC 3 Task 1, Dec. 2024.
  • Best Paper Award, IEEE Conference on Artificial Intelligence, Jun. 2024.
  • Winner, Intel Neuromorphic Deep Noise Suppression Challenge, Track 1, Nov. 2023 (USD 15,000 prize).
  • Outstanding Research Postgraduate Thesis, Inner Mongolia Autonomous Region, Jul. 2021.
  • National Scholarship, Ministry of Education, China, Oct. 2020.

Selected Publications

For the full list, please see Publications. My name is bolded.

  1. Xiang Hao, Jibin Wu, Jianwei Yu, Chenglin Xu, and Kay Chen Tan, “Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction,” IEEE Transactions on Cognitive and Developmental Systems, 2025. DOI
  2. Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, and Kay Chen Tan, “Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet,” IEEE Transactions on Neural Networks and Learning Systems, 2025. DOI / Code
  3. Xiang Hao, Chenxiang Ma, Qu Yang, Kay Chen Tan, and Jibin Wu, “When Audio Denoising Meets Spiking Neural Network,” IEEE Conference on Artificial Intelligence, 2024. Best Paper Award. DOI
  4. Xiang Hao, Xiangdong Su, Radu Horaud, and Xiaofei Li, “FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement,” ICASSP, 2021. DOI / Code
  5. Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, and Xiaofei Li, “Sub-Band Knowledge Distillation Framework for Speech Enhancement,” INTERSPEECH, 2020. DOI
  6. Xiang Hao, Xiangdong Su, Shixue Wen, Zhiyu Wang, Yiqian Pan, Feilong Bao, and Wei Chen, “Masking and Inpainting: A Two-Stage Speech Enhancement Approach for Low SNR and Non-Stationary Noise,” ICASSP, 2020. DOI

Invited Talks

  • Sonova (Shanghai), “Deep Learning for Hearing Aids,” remote, Dec. 2024.
  • Intel Labs, “Toward Next-Generation Neuromorphic Audio Denoising with Spiking-FullSubNet,” remote, Dec. 2023.

Skills

  • Programming: Python, PyTorch, C/C++, MATLAB, JavaScript.
  • Languages: Chinese, English.

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