Qiang Sheng

I am a PhD student in Computer Science at the University of Chinese Academy of Sciences (UCAS). I am doing research at the Multimedia Computing Group, Institute of Computing Technology, CAS. My advisor is Professor Juan Cao. My research interests include:

  • multi-modal fake news/misinformation detection
  • controversy detection
  • fact checking

Contact: shengqiang18z AT ict dot ac dot cn

CV    /    GitHub    /    Google Scholar    /    ResearchGate    /    ORCID    /    DBLP

News
01/2021 One co-authored paper got accepted by TheWebConf 2021.
11/2020 One co-authored Chinese paper got accpeted by Journal of Computer Reasearch and Development.
04/2020 One co-authored paper got accepted by ACL 2020.
Publications
2021
Mining Dual Emotion for Fake News Detection
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu
Proceedings of the 30th Web Conference (WWW 2021)
Preprint Version
TL;DR: We leverage both publisher emotion and social emotion for fake news detection.
Semantics-Enhanced Multi-modal Fake News Detection (in Chinese)
Peng Qi, Juan Cao, and Qiang Sheng
Journal of Computer Reasearch and Development, 2021
TL;DR: We focus on the role of explicit semantics for fake news detection via visual semantic extraction and knowledge-guided multi-modal semantic interaction.
2020
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
Lei Zhong, Juan Cao, Qiang Sheng, Junbo Guo, and Ziang Wang
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)
PDF / Chinese Dataset
TL;DR: We propose a GCN-based method for post-level controversy detection. Also, we release the first Chinese dataset for this task.
Fake News and Disinformation Detection on the Internet: Recent Advances and Future Prospects (in Chinese)
Juan Cao, Qiang Sheng, and Peng Qi
Communications of the China Computer Federation, March 2020
Webpage Version
TL;DR: We review the recent advances of detecting fake news and disinformation and propose potential directions.
Exploring the Role of Visual Content in Fake News Detection
Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, and Jintao Li
Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities, Lecture Notes in Social Network (LNSN)
Preprint Version / Springer Link
TL;DR: A survey chapter that focuses on the visual information for fake news detection.
Teaching Experience
2020/2021 Spring Teaching Assistant, 081203M05008H: Multimedia Technology, UCAS
Academic Services
Reviewer ACM CSCW 2021
Information Processing and Management
Multimedia Systems
Student Volunteer IEEE ICDM 2019
Education
2018- Ph.D in Computer Science and Technology (Candidate)
School of Computer Science and Technology, University of Chinese Academy of Sciences
2014-2018 B. Eng in Communication Engineering
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications
2011-2014 Weifang No.1 Middle School
Honors and Awards
2019, 2020 Merit Student, University of Chinese Academy of Sciences
2018 Outstanding Graduate, Beijing Municipal Commission of Education
2015, 2016, 2017 National Undergraduate Scholarship, Ministry of Education of China