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Wenbo Zhou

• Associate Professor, School of Cyber Science and Technology, University of Science and Technology of China (USTC)

• Visiting Scholar, "StarTrack Program" , Microsoft Research Asia

• "Mozi Outstanding Youth" Awardee, USTC

Professional Affiliations:

• Member and Youth Group Leader, Digital Media Forensics and Security Committee, China Society of Image and Graphics

Publications and Contributions:

• Authored over 40 high-level papers in top security conferences and journals such as CCS, IEEE TPAMI, TIFS, TIP, CVPR, ICML, and ICCV.

• Received two Best Paper Awards at international conferences.
  

• Served as a PC member and reviewer for journals and conferences including TPAMI, IJCV, CVPR, AAAI, and ICCV.

Projects and Funding:

• Principal investigator of one major project.

• Led multiple provincial and ministerial-level projects, including the National Natural Science Foundation, sub-projects of the National Key R&D Program, and Anhui Provincial Key R&D Programs.

• Total project funding exceeds 20 million RMB.

• Holder of 4 authorized patents.

Technological Innovations and Achievements:

• Developed "Synthetic Reality" technology, creating the first "Synthetic Reality Digital Human Qian Xuesen."

• First released on May 27, 2023, at the Zhongguancun Forum.

• Covered by major media outlets such as CCTV, People’s Daily, and Xinhua News Agency.

• During the 2024 "Two Sessions," the technology was featured by CCTV and recognized as a representative of "new quality productive forces."

• On July 10, 2024, the "Synthetic Reality Digital Human Qian Xuesen" was showcased on CCTV's "China Science and Technology Innovation Ceremony."

• Led a team to participate in the Deepfake Detection Challenge (DFDC), initiated by Facebook (now Meta), achieving global second place and first place domestically, winning a prize of $300,000.

• Recognized by the China Academy of Information and Communications Technology as one of the eight representative achievements in China's AI security field since 2014.

• Proposed the "Phase Analysis and Shallow Learning Method" for deepfake detection, included in the "Stanford AI Report 2022," receiving the high acclaim "Top Score".

• Developed the most popular deepfake tool "DeepFaceLab," achieving over 46k stars on GitHub (ranking in the top 0.03% of global Python open-source projects).

• Alongside OpenAI's GPT-2, it was selected as one of GitHub's top 10 trending projects in 2020.

• Created a "Real-time Face Swapping and Voice Changing System," winning first place in the "Wisdom 2022" National Innovation Application Competition and the "Zongheng Cup" National Cyber Security Innovation Technology Competition.

• 深度伪造
• 大模型安全
• 人工智能安全

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