Articles with public access mandates - Qiang ShengLearn more
Available somewhere: 9
Mining Dual Emotion for Fake News Detection
X Zhang, J Cao, X Li, Q Sheng, L Zhong, K Shu
Proceedings of the Web Conference 2021 (WWW 2021), 3465-3476, 2021
Mandates: National Natural Science Foundation of China
Exploring the Role of Visual Content in Fake News Detection
J Cao, P Qi, Q Sheng, T Yang, J Guo, J Li
Disinformation, Misinformation, and Fake News in Social Media, 141-161, 2020
Mandates: National Natural Science Foundation of China
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues
P Qi, J Cao, X Li, H Liu, Q Sheng, X Mi, Q He, Y Lv, C Guo, Y Yu
Proceedings of the 29th ACM International Conference on Multimedia, 2021
Mandates: National Natural Science Foundation of China
Memory-Guided Multi-View Multi-Domain Fake News Detection
Y Zhu, Q Sheng, J Cao, Q Nan, K Shu, M Wu, J Wang, F Zhuang
IEEE Transactions on Knowledge and Data Engineering, 2022
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Y Zhu, Q Sheng, J Cao, S Li, D Wang, F Zhuang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
Mandates: National Natural Science Foundation of China
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Q Sheng, X Zhang, J Cao, L Zhong
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandates: National Natural Science Foundation of China
Characterizing multi-domain false news and underlying user effects on Chinese Weibo
Q Sheng, J Cao, HR Bernard, K Shu, J Li, H Liu
Information Processing & Management 59 (4), 102959, 2022
Mandates: National Natural Science Foundation of China
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
Y Bu, Q Sheng, J Cao, P Qi, D Wang, J Li
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
G Yang, J Cao, Q Sheng, P Qi, X Li, J Li
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12217 …, 2022
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program