- Publications: 10+ CCF-A papers (as the first/co-first author), including an oral paper at ICML 2025 (top 1%)
- Awards: Not explicitly mentioned
- Patents: Not explicitly mentioned
- Projects: DeepfakeBench, a unified modular codebase integrating 37 SOTA detection methods and 13 datasets, with nearly 1k stars on GitHub
Research Experience
- Work Experience: Research Intern at Baidu ERNIE team (through the 'ERNIE Star Program'), supervised by Jingdong Wang and Haifeng Wang; Research Intern at Tencent Youtu Lab and Tencent AI Lab
- Research Projects: Unified multimodal generation and understanding system UAE, DeepfakeBench, etc.
Education
- Degree: PhD
- University: Peking University (2024.09-2028.07 expected), previously at CUHK-SZ
- Supervisors: Prof. Li Yuan (Deep Learning) and Prof. Fanyang Mo (AI4Science)
Background
- Research Interests: Multimodal, AIGC Detection, AIGC, AI4Science
- Professional Field: Computer Science
- Brief Introduction: PhD Student in Computer Science at Peking University, focusing on multimodal generation and understanding as well as the application of AI in science.