I am currently an Assistant Researcher in Zhongguancun Laboratory. I received my bachelor’s degree from the Department of Computer Science and Technology, Tsinghua University in 2020, luckily supervised by Prof. Hang Su and Prof. Jun Zhu. I received my Ph.D. from the University of Chinese Academy of Sciences in 2025, luckily supervised by Prof. Shiming Ge and Prof. Can Ma, with a joint Ph.D. program in EFPL from 2023 to 2024, luckily supervised by Prof. Tong Zhang and Prof. Sabine Süsstrunk.
Previously, I was a Research Intern in Huawei Noah’s Ark Lab (2025.4-2025.7), luckily supervised by Dr. Feng Tang and Dr. Zhongang Qi. And I was a Research Intern in RealAI (2022.10-2023.7), luckily supervised by Zihao Xiao and Prof. Jianmin Li. I also feel lucky to have the chance to collaborate with Dr. Jianmin Bao from Microsoft Research Asia during my Ph.D. More previously, I was an intern in Tencent TEG (2019.6-2019.9) and Ant Group (2019.10-2020.6).
Currently, my research focuses on Computer Vision, Multimodal Media Forensics, and AIGC/LLM/AI Safety, including the attack and defense of generative models (such as Large Language Models and Diffusion Models) and how to detect generated and manipulated content. If you are also interested in similar topics or seeking any form of research collaboration, please feel free to reach out to me by email. I always enjoy working with excellent researchers!
Publications
Learning Natural Consistency Representation for Face Forgery Video Detection
Daichi Zhang, Zihao Xiao, Shikun Li, Fanzhao Lin, Jianmin Li, Shiming Ge.
European Conference on Computer Vision (ECCV) 2024.
Latent Spatiotemporal Adaptation for Generalized Face Forgery Video Detection
Daichi Zhang, Zihao Xiao, Jianmin Li, Shiming Ge.
arXiv preprint arXiv:2309.04795.
Deepfake Video Detection with Spatiotemporal Dropout Transformer
Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge.
ACM International Conference on Multimedia (ACM MM) 2022: 5833-5841. (Oral)
Detecting Deepfake Videos with Temporal Dropout 3DCNN
Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge.
International Joint Conferences on Artificial Intelligence (IJCAI) 2021: 1288-1294.
- CD2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning. Kexin Bao, Daichi Zhang† , Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge. International Joint Conferences on Artificial Intelligence (IJCAI) 2025. (†: Project Leader)
- Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning. Kexin Bao, Daichi Zhang*, Yong Li, Dan Zeng, Shiming Ge. Proceedings of the 2025 International Conference on Multimedia Retrieval (ICMR) 2025, 5-14. (*: Co-corresponding Author)
- Deepfake Video Detection via Predictive Representation Learning. Shiming Ge, Fanzhao Lin, Chenyu Li, Daichi Zhang, Weiping Wang, Dan Zeng. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 2022, 18(2s): 1-21.
- Interpret the Predictions of Deep Networks via Re-Label Distillation. Yingying Hua, Shiming Ge, Daichi Zhang. IEEE International Conference on Multimedia and Expo (ICME) 2021: 1-6.
- Interpretable Face Manipulation Detection via Feature Whitening. Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge. International Conference on Machine Learning Workshop (ICML Workshop) 2021.
- Look Through Masks: Towards Masked Face Recognition with De-occlusion Distillation. Chenyu Li, Shiming Ge, Daichi Zhang, Jia Li. ACM International Conference on Multimedia (ACM MM) 2020: 3016-3024.
- Research Progress in the Interpretability of Deep Learning Models. Yingying Hua, Daichi Zhang, Shiming Ge. Journal of Cyber Security 5.3 (2020): 1-12.
- A Method and Device for Face Forgery Video Detection. Shiming Ge, Daichi Zhang, Chenyu Li, Yingying Hua, Weiping Wang. Chinese Patent 2020. No. ZL202010994947.4.
Besides, I serve as a reviewer for top-tier journals (including TIFS, TIP, TMM, et al.) and conferences (including CVPR, ICCV, ECCV, NeurIPS, ICLR, ACM MM, et al.).
Educations
- 2020.9 - 2025.6, Ph.D., University of Chinese Academy of Sciences, Beijing, China.
- 2023.10 - 2024.10, Joint Ph.D. program, School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
- 2016.9 - 2020.6, Bachelor, Department of Computer Science and Technology, Tsinghua University, Beijing, China.
Projects
- Deepfake Detection Challenge (DFDC) 2020: World rank top 20 with Tsinghua University.
- The 3rd China Artificial Intelligence Competition on Deepfake Video Detection 2021: B-level prize with RealAI and Tsinghua University.
- Huawei Student Developer Competition 2020: Second prize.
Internships
- 2019.10 - 2020.6, Algorithm Intern, Ant Group, Beijing, China.
- 2019.6 - 2019.9, Algorithm Intern, Tencent, Shenzhen, China.
- 2022.10 - 2023.7, Research Intern, RealAI, Beijing, China.
- 2025.4 - 2025.7, Research Intern, Huawei Noah’s Ark Lab, Beijing, China.
Awards
- 2021.6, Merit Student, University of Chinese Academy of Sciences.
- 2019.10, National Encouragement Scholarship, Philobiblion Scholarship, Tsinghua University.
- 2019.6, Merit Student, Tsinghua University.