📖 Education

• 2023.09 - Present, Ph.D. in Computer Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen.
  Advisors: Professor Zhizheng Wu and Professor Haizhou Li. Research: audio deepfake detection, anti-spoofing, and trustworthy audio AI.
• 2019.09 - 2022.07, M.S. in Computer Application Technology, Peking University, Shenzhen.
  Advisor: Professor Yuexian Zou. Research: spoken keyword spotting and speaker verification.
• 2015.09 - 2019.06, B.Eng. in Software Engineering, University of Electronic Science and Technology of China, Chengdu.
  GPA: 3.69/4.00, ranking: 8/162 (Top 4.9%).

💼 Research and Work Experience

• 2022.11 - 2023.08, Research Assistant, Shenzhen Research Institute of Big Data (SRIBD), Shenzhen.
  Led a Huawei-collaboration project on detecting physical attacks against speaker verification systems; built a large-scale dataset with 1.1M physical-attack samples and developed a robust defense route for real-world acoustic conditions.
• 2022.07 - 2022.10, Financial Machine Learning Engineer, International Digital Economy Academy (IDEA), Shenzhen.
  Designed financial factors and deep learning models for stock-return prediction and financial time-series modeling.

💻 Internships

• 2021.07 - 2022.03, ByteDance AI Lab, Shenzhen.
  Worked on audio fingerprinting and music segmentation; proposed a temporal localization algorithm that improved accuracy from 95.80% to 97.90%.
• 2021.04 - 2021.06, Huawei MTI, Audio Engineering Department, Shenzhen.
  Worked on music source separation; reproduced D3Net on MUSDB and separated vocals, drums, bass, and other tracks.
• 2020.05 - 2020.11, Tencent AI Lab, Speech Processing Group, Beijing.
  Worked on speech separation and speaker verification; evaluated GALR-based separation for speaker verification and organized speaker metadata for 2M audio samples.

🚀 Selected Projects

• Huawei HarmonyOS 7 Audio Deepfake Detection, 2025.01 - Present.
  Contributed to the research, development, and product deployment of the audio deepfake detection capability integrated into HarmonyOS 7. Studied robust detection across diverse speech synthesis methods and real communication channels.
• Research on AI Voice Wake-up Technology, 2021.01 - 2022.01.
  Project leader in a collaboration with Xiaomi. Improved network design and data augmentation, reducing false rejection rate from 20% to 2% and achieving 99.7% accuracy. The work led to a first-author ICASSP 2022 paper.
• AdvSV and AdvSV 2.0: Adversarial Speaker Verification Security, 2022 - 2026.
  Built benchmarks for over-the-line and over-the-air adversarial attacks against automatic speaker verification systems, including neural replay simulation and one-class contrastive detection.
• SpMis: Spoken Misinformation Detection, 2024.
  Built a large-scale synthetic spoken misinformation dataset and detection benchmark covering 1,000+ speakers, multiple topics, and state-of-the-art TTS systems.

📜 Patents and Software Copyright

Patents

• Audio Deepfake Detection Method, Apparatus, Computer Device, and Storage Medium. Inventors: Li Wang, Zhizheng Wu. Chinese invention patent ZL 2024 1 1863864.6; grant publication CN 119694319 B; granted November 11, 2025.
• Adversarial Audio Sample Detection Method and System Based on Pretrained Models. Inventors: Li Wang, Zhizheng Wu. Chinese invention patent application 202410942156.5; filed and accepted July 15, 2024.
• Open-Set Audio Deepfake Algorithm Attribution Method. Inventors: Li Wang, Zhizheng Wu. Chinese invention patent application 202510885063.8; filed and accepted June 30, 2025.
• Audio Deepfake Detection Method Based on Parameter Discriminative Sensitivity and Terminal Device. Inventors: Kunyu Feng, Li Wang, Wan Lin, Zhizheng Wu. Chinese invention patent application 202610887808.9; filed and accepted June 18, 2026.

Software Copyright (Project Output)

• Audio Deepfake Detection Software V1.0 (音频伪造检测软件 V1.0). Copyright owner: Shenzhen Research Institute of Big Data. Registration No. 2026SR0060775; Certificate No. 软著登字第17275056号; registered January 9, 2026.

🧑‍🏫 Services

• Reviewer
  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
  • IEEE International Conference on Acoustics, Speech and Signal Processing
  • IEEE Signal Processing Letters
  • National Conference on Man-Machine Speech Communication (NCMMSC)
  • International Conference on Asian Language Processing (IALP)
  • Computer Speech & Language
  • IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
• Student Volunteer
  • IEEE Spoken Language Technology Workshop 2024
• Teaching Assistant
  • 2023 Fall, CSC1001 Introduction to Computer Science: Programming Methodology, CUHK-Shenzhen.
  • 2024 Spring, CSC3160/AIR6063 Fundamentals of Speech and Language Processing/Spoken Language Processing, CUHK-Shenzhen.
  • 2024 Fall, DDA3020 Machine Learning, CUHK-Shenzhen.
  • 2025 Spring, DDA3020 Machine Learning, CUHK-Shenzhen.
• Standard Development
  • Participated in the development of 《Method for Identifying AI-Generated Synthetic Content》（《人工智能生成合成内容标识方法 文件元数据隐式标识 文本文件》）, published by National Technical Committee 260 on Cybersecurity of SAC (全国网络安全标准化委员会), available at National Information Security Standardization Technical Committee.

🛠 Skills

• Programming: Python, Java, C++.
• Deep learning: PyTorch, speech/audio model training, large-scale data processing.
• Languages: English academic writing and peer review.
• Other: Erhu Grade 10; track and field.

👏 Template of This Page

Thanks to Yi Ren (任意) for his open source contribution, template link AcadHomepage .