Qiang Sheng 盛强

I am an assistant professor at the Media Synthesis and Forensics Lab (formerly known as Multimedia Computing Group), Institute of Computing Technology, Chinese Academy of Sciences. I got my Ph.D. degree at University of Chinese Academy of Sciences (UCAS) under the supervision of Professor Juan Cao. My research interests include:

  • Application: Fake News/Misinformation Detection, Fact-Checking, Machine-Generated Content Detection
  • Direction: Natural Language Understanding and Social Media Mining
  • Vision: AI Safety and AI for Safety

Contact: shengqiang18z AT ict dot ac dot cn

Currículum Vitae    /    GitHub    /    Google Scholar    /    ResearchGate    /    ORCID    /    DBLP

Zhihu Column    /    ACL Anthology    /    IR Anthology

✍   Hightlights

- We release a Github Repo Awesome-Generated-Text. LLMs, detection & attribution methods, products & services, datasets... It provides all you want to know about machine-generated text.

- We are recruiting highly motivated research interns who are interested in combating misinformation in the era of large language models. Send me your resume by email if you are interested.

News
2/2024 Recognized as a Great Reviewer in the October 2023 Cycle of ARR.
1/2024 Invited to serve as an Area Chair for MM 2024.
1/2024 Invited to serve as a PC member for KDD 2024.
12/2023 Invited to serve as a PC member for IJCAI 2024.
12/2023 One co-authored paper on LLM for Fake News Det. got accepted by AAAI 2024.
12/2023 Invited to serve as a PC member for SIGIR 2024.
10/2023 One co-authored position paper on AIGC safety was released by Communications of the CCF.
Full List
Publications
Preprint
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, and Kai Shu
arXiv:2310.10429
Understanding News Creation Intents: Frame, Dataset, and Method
Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Silong Su, Yifan Sun, Beizhe Hu, and Siyuan Ma
arXiv:2312.16490
Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, and Danding Wang
arXiv:2402.09199
2024
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
Preprint / GitHub Repo
TL;DR: Large LMs generally underperform fine-tuned Small LMs for fake news detection, but they can be good advisors by providing rationales.
2023
The Safety in the AIGC era: Techniques Make the World More Credible (AIGC时代的安全:用技术让世界更可信)
Juan Cao, and Qiang Sheng
Communications of the China Computer Federation, October 2023
Paper / WeChat Release
TL;DR: Our perspective paper on the safety issues brought by AI-generated content.
Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, and Jintao Li
Proceedings of the 31st ACM International Conference on Multimedia (MM 2023) (Acceptance Rate:902/3669=24.6%)
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.
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, and Zhiwei Jin
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)
Preprint / Paper / Code / Poster / Slides / Explanatory AI arXiv Weekly Roundup
TL;DR: We propose to address the temporal shift issue in real-world fake news detection systems via forecasting topic-level trends and accordingly adjusting the detector update strategy.
2022
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
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.
Memory-Guided Multi-View Multi-Domain Fake News Detection
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.
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo
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.
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
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.
Zoom Out and Observe: News Environment Perception for Fake News Detection
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.
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection
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.
2021
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues
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.
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
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.
Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Claims
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.
Semantics-Enhanced Multi-modal Fake News Detection (语义增强的多模态虚假新闻检测)
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.
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) (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.
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) (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.
Fake News and Disinformation Detection on the Internet: Recent Advances and Future Prospects (互联网虚假信息检测进展与展望)
Juan Cao, Qiang Sheng, and Peng Qi
Communications of the China Computer Federation, March 2020
Webpage Version / WeChat Release
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 / Springer Link
TL;DR: A survey chapter that focuses on the visual information for fake news detection.
Talks
2023/6/28 Improving Research Zooming Capability: Three Views of Application Research (提升科研“变焦”能力:应用问题研究的三个视角)
@ Advanced Computing Technology Seminar, ICT, CAS
2023/6/8 Generalization and Multi-Modality Issues in Real-World Fake News Detection and Beyond
@ Illinois Institute of Technology
2023/3/3 The Birth of Papers on Top-Tier Journals and Conferences: Works Done Behind (顶会顶刊论文的诞生:你看不到的哪些工作)
@ Student Career Development Association, ICT, CAS
2023/3/1 ChatGPT: Techniques, Impacts, and Countermeasures (ChatGPT: 技术、影响和应对)
@ Ruijian AI
2023/3/1 ChatGPT: Techniques, Impacts, and Countermeasures (ChatGPT: 技术、影响和应对)
@ 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)
Teaching Experience
2020/2021 Spring Teaching Assistant, 081203M05008H: Multimedia Technology, UCAS
Academic Services
Area Chair MM 2024
Conf. Reviewer/PC Member AAAI 2022, 2023, 2024
ACL 2022, 2023, 2024
ACL Rolling Review (Nov. 2021 to now, Great Reviewer at Oct. 2023 cycle)
BigData 2024
CIKM 2023
CSCW 2021 (Recognized for Excellent Reviewing)
EACL 2023, 2024
ECML-PKDD 2023
EMNLP 2021, 2022, 2023
IJCAI 2023, 2024
KDD 2023, 2024
MM 2023
NAACL 2022 (Recognized as the Outstanding Reviewer), 2024
SDM 2024
SIGIR 2023, 2024
SIGIR-AP 2023
TheWebConf (WWW) 2023, 2024
Journal Reviewer ACM Transactions on Information Systems (TOIS)
Computational Intelligence
IEEE Transactions on Audio, Speech and Language Processing (TASLP)
Information Processing and Management (IP&M)
Multimedia Systems
Student Volunteer IEEE ICDM 2019
Education
2018-2023 Ph. D in Computer Science and Technology
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
Honors and Awards
2023 Excellent Prize of the President Scholarship, CAS
2023 Special Prize of the President Scholarship, 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