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I am a final-year PhD student in Computer Science at the University of Chinese Academy of Sciences (UCAS). I am doing research at the Media Synthesis and Forensics Lab (formerly known as 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 Currículum Vitae / GitHub / Google Scholar / ResearchGate / ORCID / DBLP |
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| 05/2023 | Invited to serve as a PC member for CIKM 2023. |
| 05/2023 | One co-authored paper got accepted by ACL 2023. |
| 05/2023 | Invited to serve as a reviewer for MM 2023. |
| 03/2023 | Invited to serve as a PC member for ECML-PKDD 2023. |
| 02/2023 | Invited to serve as a reviewer for KDD 2023. |
| 01/2023 | Invited to serve as a PC member for SIGIR 2023. |
| 01/2023 | Invited to serve as a PC member for IJCAI 2023. |
| 12/2022 | Will give a talk on real-world fake news detection at Tsinghua University. |
| 12/2022 | Will give a talk on research views of NLP applications at CSSNLP 2022. |
| 12/2022 | Invited to serve as a reviewer for ACL 2023. |
| 10/2022 | Invited to serve as a reviewer for EACL 2023. |
| 10/2022 | Invited to serve as a PC Member for TheWebConf (WWW) 2023. |
| 08/2022 | One co-authored paper got accepted by COLING 2022. |
| 07/2022 | Invited to serve as a PC Member for AAAI 2023. |
| 07/2022 | Recognized as the Outstanding Reviewer (81/2824) by NAACL 2022 Program Committee. |
| 06/2022 | Invited to serve as a Reviewer for EMNLP 2022. |
| 06/2022 | One co-authored paper got accepted by IEEE TKDE. |
| Full List |
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| Combating Online Misinformation Videos: Characterization, Detection, and Future Directions (Companion GitHub Repository) |
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Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, and Zhiwei Jin Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023) Paper (TBA) TL;DR: We propose to address the temporal shift issue in real-world fake news detection systems via forecating topic-level trends and accordingly adjusting the detector update strategy. |
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Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, and Jintao Li Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022) (Acceptance Rate:165/667=24.7%) Preprint / Paper / Code / Chinese Blog 1/ 2 TL;DR: We propose a domain- and instance-level transfer framework for detecting fake news of target domains. |
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Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, and Fuzhen Zhuang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Preprint / Paper / Code / Chinese Blog TL;DR: We tackle the issue of domain shift and domain labeling incompleteness for simultaneously modeling multi-domain fake news via multi-view encoding and memory bank mechanism. |
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Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, and Huan Liu Information Processing and Management (IP&M), 2022 Preprint / Paper / Code / Dataset / Chinese Brief TL;DR: Based on the largest false news dataset on Chinese Weibo (44k+), we characterize the spread of false news in nine domains and analyze the underlying user effects. |
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Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, and Fuzhen Zhuang Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022) (Acceptance Rate:165/667=24.7%) Preprint / Paper / Code / Chinese Blog TL;DR: We reveal the entity bias in fake news detection datasets and propose a causal framework to mitigate such bias for better generalization to future data. |
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Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, and Yongchun Zhu Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) Preprint / Paper / Poster / Code / Dataset / Chinese Video / Chinese Blog / English Blog TL;DR: For the first time, we propose to perceive signals from the news environment for fake news detection. |
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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%) Preprint / Paper / English Video TL;DR: We propose a GCN-based method to dynamically 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 / Chinese Blog 1/ 2 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%) Preprint / Paper / 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 Research and Development, 2021 Paper 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 / Paper / 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%) Paper / 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 / Chinese Blog 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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| 2023/3/3 |
The Birth of Papers on Top-Tier Journals and Conferences: Works Done Behind
@ Student Career Development Association, ICT, CAS |
| 2023/3/1 |
ChatGPT: Techniques, Impacts, and Countermeasures
@ Ruijian AI |
| 2023/3/1 |
ChatGPT: Techniques, Impacts, and Countermeasures
@ Beijing Film Academy |
| 2022/12/30 |
Towards Real-World Fake News Detection
@ Tsinghua University |
| 2022/12/17 |
Three Views of Application Research: Cases in Fake News Detection (应用问题研究的三个视角：以虚假新闻检测为例)
@ CSSNLP 2022 (Event / Video) |
| 2022/10/4 |
Zoom Out and Observe: News Environment Perception for Fake News Detection (新闻环境感知下的虚假新闻检测)
@ MLNLP Paper Reading (Event / Video) |
| 2022/9/2 |
Online Fake News Detection: Method, System, and Thinking
@ Baidu Search |
| 2022/8/31 |
Online Fake News Detection: Method, System, and Thinking
@ ByteDance AI Lab |
| 2022/5/14 |
Zoom Out and Observe: News Environment Perception for Fake News Detection (新闻环境感知下的虚假新闻检测)
@ AIS 2022 (NLU Session) (Event / Video) |
| 2022/4/24 |
Zoom Out and Observe: News Environment Perception for Fake News Detection (新闻环境感知下的虚假新闻检测)
@ BUAFAI 2022 (NLP & Speech Forum) (Event / Video) |
| 2022/4/20 |
Zoom Out and Observe: News Environment Perception for Fake News Detection (新闻环境感知下的虚假新闻检测)
@ AI TIME Live (Event / Video / WeChat Article) |
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| 2020/2021 Spring | Teaching Assistant, 081203M05008H: Multimedia Technology, UCAS |
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| Conf. Reviewer/PC Member |
AAAI 2022, 2023
ACL 2022, 2023 ACL Rolling Review (Nov. 2021~) CIKM 2023 CSCW 2021 (Recognized for Excellent Reviewing) EACL 2023 ECML-PKDD 2023 EMNLP 2021, 2022 IJCAI 2023 KDD 2023 MM 2023 NAACL 2022 (Recognized as the Outstanding Reviewer) SIGIR 2023 SIGIR-AP 2023 TheWebConf (WWW) 2023 |
| Journal Reviewer |
ACM Transactions on Information Systems (TOIS)
Information Processing and Management (IP&M) Multimedia Systems Computational Intelligence |
| Student Volunteer | IEEE ICDM 2019 |
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| 2018- |
Ph.D in Computer Science and Technology (Candidate)
University of Chinese Academy of Sciences (Cultivation Unit: Institute of Computing Technology, CAS) |
| 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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| 2023 | Special Prize of the President Sholarship, ICT, CAS |
| 2022 | Pacemaker to Merit Student of UCAS, UCAS |
| 2022 | E Fund Scholarship, Guangdong E Fund Education Foundation & ICT, CAS |
| 2021, 2022 | First-Class Academic Scholarship, University of Chinese Academy of Sciences |
| 2019, 2020 | Merit Student, University of Chinese Academy of Sciences |
| 2018 | Outstanding Graduate, Beijing Municipal Commission of Education |
| 2015, 2016, 2017, 2022 | National Scholarship, Ministry of Education of China |