Qiang Sheng

Orcid: 0000-0002-2481-5023

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Qiang Sheng authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Preventing and Detecting Misinformation Generated by Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Memory-Guided Multi-View Multi-Domain Fake News Detection.
IEEE Trans. Knowl. Data Eng., July, 2023

Understanding News Creation Intents: Frame, Dataset, and Method.
CoRR, 2023

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting.
CoRR, 2023

Online Misinformation Video Detection: A Survey.
CoRR, 2023

Combating Online Misinformation Videos: Characterization, Detection, and Future Directions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
Characterizing multi-domain false news and underlying user effects on Chinese Weibo.
Inf. Process. Manag., 2022

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Zoom Out and Observe: News Environment Perception for Fake News Detection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning to Disentangle GAN Fingerprint for Fake Image Attribution.
CoRR, 2021

Mining Dual Emotion for Fake News Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Exploring the Role of Visual Content in Fake News Detection.
CoRR, 2020

Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
False News Detection on Social Media.
CoRR, 2019


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