Bojia Zi (訾柏嘉)
Ph.D. Student at CUHK
- bjzi19 [at] fudan.edu.cn
- Google Scholar
- GitHub
- CV
I'm a Ph.D. student at CUHK, supervised by Kam-Fai Wong. Before this, I got my Master degree and Bachelor degree from Fudan University and Shandong University in 2022 and 2019, respectively. My research interest includes Multimodal Learning, Knowledge Distillation, Adversarial Robustness as well as Forgery Detection.
If you have sufficient GPU resources, feel free to contact me. I would like to collaborate with you to study some research topics.
Ph.D. Student at The Chinese University of Hong Kong, supervised by Kam-Fai Wong, with the topic of Multimodal Learning.
Research Intern at Microsoft with the topic of Multimodal Learning.
One paper accepted to ICCV2021!
One paper accepted to ACM MM2020!
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better
International Conference of Computer Vision (ICCV 2021)
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
ACM Multimedia (ACM MM 2020)