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I am an assistant professor (researcher) 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:
Contact: shengqiang18z AT ict dot ac dot cn GitHub / Google Scholar / ResearchGate / ORCID / DBLP |
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✍ Hightlights - Github Repo (Maintaining): Awesome-Generated-Text, LLM-for-misinformation-research - 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. |
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| 02/2025 | Will serve as an Area Chair and co-offer a tutorial named Combating Online Misinformation Videos: Characterization, Detection, and Prevention at MM 2025. See you in Dublin! |
| 10/2024 | Recognized as an Outstanding Area Chair at MM 2024. |
| 10/2024 | Will introduce our latest works on LLM-driven misinformation detection at SMP 2024. |
| 7/2024 | One co-authored paper on Generated Comments Enhanced Fake News Det. got accepted by CIKM 2024. |
| 7/2024 | One co-authored paper on Short Video Fake News Det. got accepted by MM 2024. |
| 7/2024 | Will co-present a tutorial about Preventing and Detecting LLM-generated Misinformation at SIGIR 2024. See you in D.C.! |
| 4/2024 | Two co-authored papers got accepted by IJCAI 2024. |
| 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. |
| Full List |
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Interactive Visual Assessment for Text-to-Image Generation Models
Xiaoyue Mi, Fan Tang, Juan Cao, Qiang Sheng, Ziyao Huang, Peng Li, Yang Liu, Tong-Yee Lee Preprint |
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The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas
Ya Wu, Qiang Sheng, Danding Wang, Guang Yang, Yifan Sun, Zhengjia Wang, Yuyan Bu, and Juan Cao Preprint / Project Page |
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From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
Yang Li, Qiang Sheng, Yehan Yang, Xueyao Zhang, and Juan Cao Preprint |
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PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
Yuhui Shi, Yehan Yang, Qiang Sheng, Hao Mi, Beizhe Hu, Chaoxi Xu, and Juan Cao Preprint |
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Exploring News Intent and Its Application: A Theory-Driven Approach
Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Siyuan Ma, and Haonan Cheng Preprint / Paper Information Processing and Management (IP&M), 2025 TL;DR: We, for the first time, conceptualize and computerize news intent modeling and showcase its application on fake news detection, popularity prediction, and propaganda detection. |
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Yifan Sun, Danding Wang, Qiang Sheng, Juan Cao, and Jintao Li Preprint Findings of the Association for Computational Linguistics: ACL 2025 TL;DR: We exploit LLMs to automatically discover key concepts for text classification to enhance the comprehensibility of text explanations. |
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Beizhe Hu, Qiang Sheng, Juan Cao, Yang Li, and Danding Wang Proceedings of The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) (Acceptance Rate: 238/1105=21.5%) Preprint / Paper (TBA) / Project Page TL;DR: We reveal the truth-decay phenomenon where real news gradually loses its top-ranked advantage against fake news when LLM-generated news penetrates. |
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Juan Cao, Qiang Sheng, Guojie Li Bulletin of Chinese Academy of Sciences (CASBulletin) Paper TL;DR: We discussed new challenges and countermeasures in public security brought by AIGC techniques. |
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Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, and Jintao Li Frontiers of Computer Science (FCS) Preprint / Paper TL;DR: We explored how to let a comment-based model effectively help a content-only one in fake news early detection. |
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Qiong Nan, Qiang Sheng, Juan Cao, Beizhe Hu, Danding Wang, and Jintao Li Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) (Acceptance Rate: 347/1496=23.2%) Preprint / Paper / GitHub Repo / Chinese Blog TL;DR: We prompt LLMs to role-play social media users to obtain generated comments for enhancing fake news detection. |
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Yuyan Bu, Qiang Sheng, Juan Cao, Peng Qi, Danding Wang, and Jintao Li Proceedings of the 32nd ACM International Conference on Multimedia (MM 2024) (Acceptance Rate: 1149/4385=26.2%) Preprint / Paper / GitHub Repo / Chinese Blog TL;DR: We detect fake news on short video platforms by modeling videos from the faking process perspective and constructed a FakeSV's sister dataset in English, namely FakeTT. |
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Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, and Danding Wang Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (Acceptance Rate: 791/5651=14.0%) Preprint / Paper / GitHub Repo / Slides / Chinese Blog TL;DR: To detect and attribute text generated by black-box LMs, we estimate their generation probabilities of representative words guided by a white-box proxy LM to obtain a strong feature. |
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Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, and Xianglong Liu Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024) (Acceptance Rate: 791/5651=14.0%) Paper / GitHub Repo / Chinese Blog TL;DR: We propose a vision-fused attack framework to acquire powerful adversarial text (i.e., more aggressive and stealthy) in neural machine translation. |
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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 / Paper / GitHub Repo / English Video & Slides TL;DR: Large LMs generally underperform fine-tuned Small LMs for fake news detection, but they can be good advisors by providing rationales. |
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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. |
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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. |
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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 / English Video / 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. |
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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: 632/2253=28.1%) Preprint / Paper / Code / English Video / 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) (Acceptance Rate: 701/3378=20.75%) Preprint / Paper / Poster / Code / Dataset / Chinese Video / Chinese Blog / English Video / 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 / English Video / 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 / WeChat Release 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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Qiang Sheng, Peng Qi, Tianyun Yang, Yuyan Bu, Wynne Hsu, Mong Li Lee, Juan Cao The 33rd ACM International Conference on Multimedia (MM 2025) |
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Aiwei Liu, Qiang Sheng, Xuming Hu The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) Webpage / ACM DL |
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| 2025/6 |
Advances and Changes of Misinformation Detection in the LLM era（大模型时代虚假信息检测的发展与变化）
@ YSSNLP 2025 (Event) |
| 2025/1/16 |
LLMs and Misinformation Detection（大模型与虚假信息检测）
@ AI TIME (Event) |
| 2024/11/8 |
Misinformation Detection in the Era of LLMs: Recent Advances and Discussions（大模型时代的虚假信息检测：进展与探讨）
@ Institute of Information Engineering, Chinese Academy of Sciences (Event) |
| 2024/10/12 |
LLM-Driven Internet Misinformation Rehearsal and Detection Enhancement（大模型驱动的互联网虚假信息预演及检测增强）
@ SMP 2024 (Event) |
| 2024/6/1 |
AIGC: Techniques, Challenges, and Countermeasures（AIGC: 技术、挑战和应对）
@ Beijing Film Academy (Event) |
| 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：你看不到的那些工作）
@ 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 (Event) |
| 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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| Area Chair | MM 2024 (Recognized as an Outstanding Area Chair), 2025 |
| Conf. Reviewer/PC Member |
AAAI 2022, 2023, 2024, 2025
ACL 2022, 2023, 2024, 2025 ACL Rolling Review (Nov. 2021 to now, Great Reviews Marked in: Oct. 2023, Apr. 2024, Feb. 2025) CIKM 2023, 2024, 2025 CSCW 2021 (Recognized for Excellent Reviewing) EACL 2023, 2024 ECML-PKDD 2023, 2024, 2025 EMNLP 2021, 2022, 2023, 2024, 2025 ICME 2025 IJCAI 2023, 2024, 2025 KDD 2023, 2024, 2025 MM 2023 NAACL 2022 (Recognized as the Outstanding Reviewer), 2024, 2025 NeurIPS 2025 NLPCC 2024, 2025 SDM 2024 SIGIR 2023, 2024, 2025 SIGIR-AP 2023 TheWebConf (WWW) 2023, 2024, 2025 |
| Journal Reviewer |
ACM Transactions on Information Systems (TOIS)
Computational Intelligence IEEE Transactions on Audio, Speech and Language Processing (TASLP) IEEE Transactions on Computational Social Systems (TCSS) IEEE Transactions on Information Forensics and Security (TIFS) IEEE Transactions on Knowledge and Data Engineering (TKDE) IEEE Transactions on Multimedia (TMM) Information Processing and Management (IP&M) Multimedia Systems |
| Student Volunteer | IEEE ICDM 2019 |
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| 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 |
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| 2024 | Star of Excellence, ICT, CAS |
| 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 |
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- Yehan Yang (2025-, Co-Supervised with Juan Cao)
- Hao Mi (2024-, Co-Supervised with Juan Cao)
- Yang Li (2023-, Co-Supervised with Juan Cao)
- Sheng Liu (2023-, Co-Supervised with Juan Cao)
- Yuyan Bu (2022-2025, Co-Supervised with Jintao Li)
- Yuhui Shi (2022-2025, Co-Supervised with Juan Cao)
- Beizhe Hu (2021-, Co-Supervised with Juan Cao)
- Qiong Nan (2019-2024, Co-Supervised with Jintao Li)