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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:
Contact: shengqiang18z AT ict dot ac dot cn CV / GitHub / Google Scholar / ResearchGate / ORCID / DBLP / Zhihu Column |
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| 12/2021 | One co-authored paper got accepted by AAAI 2022. |
| 10/2021 | Invited to serve as a Reviewer for ACL Rolling Review. |
| 09/2021 | Invited to serve as a PC Member for AAAI 2022. |
| 08/2021 | One co-authored paper got accepted by ACM MM 2021 Industrial Track. |
| 08/2021 | One co-first-authored paper got accepted by ACM CIKM 2021. |
| 06/2021 | Served as a reviewer for EMNLP 2021. | Full List |
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Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, and Jintao Li Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022) (Acceptance Rate:1349/9020=15.0%) TL;DR: We propose a GCN-based method to dynamiccaly find out crucial privacy-indicative regions for privacy-leaking image detection. |
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Peng Qi, Juan Cao, Xirong Li, Huan Liu, Qiang Sheng, Xiaoyue Mi, Qin He, Yongbiao Lv, Chenyang Guo, and Yingchao Yu Proceedings of the 29th ACM International Conference on Multimedia (MM 2021) Preprint / Paper TL;DR: We point out three valuable text-image correlations in multimodal fake news and propose an entity-enhanced fusion framework for cross-modal correlation modeling in fake news detection. |
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Qiang Sheng*, Xueyao Zhang*, Juan Cao, and Lei Zhong (*:Equal Contribution) Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) (Acceptance Rate:271/1251=21.7%) Preprint / Paper / Poster / Code / Datasets / Chinese Blog 1/ 2/ 3 TL;DR: We propose a graph-based model preference learning framework to separately handle the pattern and fact indicators in fake news detection. |
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Qiang Sheng, Juan Cao, Xueyao Zhang, Xirong Li, and Lei Zhong Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) (Acceptance Rate:571/2327=24.5%) PDF / Poster / Code / Chinese Dataset / Chinese Blog 1/ 2/ 3 TL;DR: We detect previously fact-checked claims by matching them against the key sentences in fact-checking articles. |
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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. |
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Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu Proceedings of the 30th Web Conference (WWW 2021) (Acceptance Rate:357/1736=20.6%) Preprint / Code / Chinese Video TL;DR: We leverage both publisher emotion and social emotion for fake news detection. |
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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) (Acceptance Rate:571/2244=25.4%) 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. |
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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. |
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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 / Springer Link TL;DR: A survey chapter that focuses on the visual information for fake news detection. |
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| 2020/2021 Spring | Teaching Assistant, 081203M05008H: Multimedia Technology, UCAS |
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| Reviewer/PC Member |
ACL 2022
ACL Rolling Review (Nov. 2021~) AAAI 2022 EMNLP 2021 ACM CSCW 2021 Information Processing and Management Multimedia Systems |
| Student Volunteer | IEEE ICDM 2019 |
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| 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 |
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| 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 |