We stand with Ukraine

We stand with Ukraine

Qiang Sheng

Orcid: 0000-0002-2481-5023

Affiliations:

Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Beijing University of Posts and Telecommunications, China (2014 - 2018)

According to our database¹, Qiang Sheng authored at least 44 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2026

Interactive Visual Assessment for Text-to-Image Generation Models.

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IEEE Trans. Vis. Comput. Graph., April, 2026

FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning.

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CoRR, February, 2026

Tailoring Rumor Debunking to You: Diversifying Chinese Rumor-Debunking Passages with an LLM-Driven Simulated Feedback-Enhanced Framework.

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Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated Text Detection.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Exploiting user comments for early detection of fake news prior to users' commenting.

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Frontiers Comput. Sci., October, 2025

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks.

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CoRR, August, 2025

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning.

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CoRR, June, 2025

From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring.

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CoRR, June, 2025

Exploring news intent and its application: A theory-driven approach.

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Inf. Process. Manag., 2025

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation.

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Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Combating Online Misinformation Videos: Characterization, Detection, and Prevention.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas.

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Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Preventing and Detecting Misinformation Generated by Large Language Models.

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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.

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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.

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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.

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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.

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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.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Memory-Guided Multi-View Multi-Domain Fake News Detection.

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IEEE Trans. Knowl. Data Eng., July, 2023

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

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CoRR, 2023

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

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CoRR, 2023

Online Misinformation Video Detection: A Survey.

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CoRR, 2023

Combating Online Misinformation Videos: Characterization, Detection, and Future Directions.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023

2022

Characterizing multi-domain false news and underlying user effects on Chinese Weibo.

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H. Russell Bernard

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Inf. Process. Manag., 2022

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.

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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.

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Proceedings of the 29th International Conference on Computational Linguistics, 2022

Zoom Out and Observe: News Environment Perception for Fake News Detection.

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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.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning to Disentangle GAN Fingerprint for Fake Image Attribution.

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CoRR, 2021

Mining Dual Emotion for Fake News Detection.

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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.

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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.

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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.

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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.

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CoRR, 2020

Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection.

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

False News Detection on Social Media.

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CoRR, 2019

2016

Malicious Application Dynamic Detection in Real-Time API Analysis.

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Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

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