The objective of this workshop is to discuss the winning submissions of the FinV Data Science Competition 2025 Challenge on Deepfake Face Detection and related topics. As synthetic media becomes more widespread and sophisticated, the ability to accurately detect manipulated visual content is increasingly vital, especially in areas such as finance, cyber security, and digital platforms. In this challenge, We provided a large-scale datasets comprising hundreds of thousands of facial forgery detection images. Compared to existing similar competitions, this challenge places greater emphasis on the cross-domain generalization capability of algorithms. Specifically, the competition has assessed the ability of algorithms to adapt to application data distributions that differ from those encountered during training and to accurately detect forged facial images generated by unknown forgery techniques.
More details of this challenge are available here: https://ai.ppdai.com/mirror/show
November 14, 2025, 10:00–12:10 (KST)
COEX Convention & Exhibition Center, Seoul, Korea
| TIME | THEME | SPEAKER |
|---|---|---|
| 10:00-10:20 | AI-Driven Financial Evolution: Beyond Forecasting | Lei CHEN |
| 10:20-10:30 | Overview of FinVolution Global Data Science Competition’s 10-Year Journey | Chunping WANG |
| 10:30-10:45 | 2025 Deepfake Face Detection Challenge Statement | Qiyi LI |
| 10:45-11:30 | Excellent Proposals Sharing | Kaipeng ZHENG Junyang DING Shihang LI |
| 11:30-11:45 | Summary and Analysis of Winning Proposals | Yangjun MAO |
| 11:45-12:00 | A Perspective on Future Competition: Voicebots and Their Challenges | Boyi NI |
| 12:00-12:10 | Q&A/Open Discussion |
- Lei CHEN, Vice President&Head of FinV Lab at FinVolution Group, holds a master's degree from Shanghai Jiao Tong University and is currently pursuing a Ph.D. at Peking University, has over 15 years of experience in data analysis and modeling.
- Chunping WANG, Chief Scientist at FinVolution Group, holds a Ph.D. degree from Duke University, with expertise in research and application of multimodal data processing technologies.
- Qiyi LI, Visual Algorithm Senior Expert at FinVolution Group, holds a master's degree from Shanghai Jiao Tong University, with expertise in OCR and facial recognition-related algorithms and applications.
- Yangjun MAO, Visual Algorithm Engineer at FinVolution Group, holds a master's degree from Zhejiang University, with expertise in computer vision and multimodality.
- Boyi NI, Algorithm Scientist at FinVolution Group, holds a Ph.D. degree from Tsinghua University, with expertise in research and application of NLP technologies.
- Kaipeng Zheng，currently pursuing a Ph.D. at Shanghai Innovation Institute, pursuing excellence in practical AI technologies.
- Junyang Ding，MSc in Computer Science at the University of Malaya, Kaggle Competitions Master focusing on deep learning and multimodal AI.
- Shihang LI, Algorithm Engineer at Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), holds a master's degree from China University of Geosciences (Wuhan), with expertise in computer vision.
