|
I am a 3rd-year postgraduate student under the supervision of Prof. Jintao Li and Prof. Juan Cao at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My research interests include:
Contact: buyuyan22s AT ict dot ac dot cn |
|
|
| 07/2024 | One first-author paper about short video fake news detection got accepted by MM 2024. |
| 08/2023 | One first-author survey paper about misinformation video got accepted by MM 2023. |
| 12/2022 | One co-author paper about the Chinese short video fake news benchmark got accepted by AAAI 2023. |
|
|
|
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, and Jintao Li Proceedings of the 32nd ACM International Conference on Multimedia (MM 2024) Preprint / Paper / GitHub Repo / Chinese Blog TL;DR: We detect fake news on short video platforms by modeling videos from the faking process perspective and constructed a FakeSV's sister dataset in English, namely FakeTT. |
|
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, and Jintao Li Proceedings of the 31st ACM International Conference on Multimedia (MM 2023) Preprint / Paper / GitHub Repo / Chinese Blog TL;DR: We conduct the very first survey focusing on online misinformation video detection, to the best of our knowledge. |
|
Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023) Paper / GitHub Repo TL;DR: We construct the largest Chinese fake news short video dataset, namely FakeSV. This dataset contains complete news contents and rich social context under different events, and thus can support a wide range of research tasks related to fake news. It firstly provides abundant debunking videos accompanying the fake and real news videos. We provide exploratory multi-perspective data analysis, which reveals some interesting and insightful phenomenons. Moreover, we design a new multimodal detection model as the SOTA method in this benchmark. We also re-implement 11 single-modal and 4 multimodal methods as baseline methods. |
|
|
| Conference Reviewer | MM 2023, MM 2024 |
|
|
| 2022-2025 (expected) |
M.E. in Computer Application Technology (Research-based)
Institute of Computing Technology Chinese Academy of Sciences (ICT); University of Chinese Academy of Sciences (UCAS) |
| 2018-2022 |
B.E. in Computer Science
School of Computer and Information Technology, Beijing Jiaotong University |
| 2015-2018 | Jiangsu Dongtai Middle School |
|
|
| 2024 | National Scholarship, Ministry of Education of China |
| 2023,2024 | First-Class Academic Scholarship, University of Chinese Academy of Sciences |
| 2023,2024 | Merit Student, University of Chinese Academy of Sciences |
| 2023 | E Fund Scholarship, Guangdong E Fund Education Foundation & ICT, CAS |
| 2022 | Outstanding Graduate, Beijing Jiaotong University |
| 2019, 2020 | Merit Student, Beijing Jiaotong University |
| 2019 | The First Prize Scholarship, Beijing Jiaotong University |