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Danding Wang

Orcid: 0000-0003-3603-9743

According to our database¹, Danding Wang authored at least 42 papers between 2018 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 orcid.org

On csauthors.net:

Bibliography

2026

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

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CoRR, April, 2026

Dissecting Deepfake Artifacts via Multimodal Explanations.

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Proceedings of the MultiMedia Modeling, 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

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

Model Synthesis for Zero-Shot Model Attribution.

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IEEE Trans. Multim., 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

Adversarial Robust Memory-Based Continual Learner.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

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

Rethinking Image Editing Detection in the Era of Generative AI Revolution.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

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

Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation.

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Proceedings of the 35th British Machine Vision Conference, 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

Bias oriented unbiased data augmentation for cross-bias representation learning.

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Multim. Syst., April, 2023

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

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CoRR, 2023

Topology-Preserving Adversarial Training.

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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

Fingerprints of Generative Models in the Frequency Domain.

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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

SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Progressive Open Space Expansion for Open-Set Model Attribution.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration.

[DOI]

Nattapat Boonprakong

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Niels van Berkel

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Jorge Gonçalves

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Proceedings of the Computer Supported Cooperative Work and Social Computing, 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

ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

2021

Show or suppress? Managing input uncertainty in machine learning model explanations.

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Artif. Intell., 2021

MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series.

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Shanghang Zhang

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Proceedings of the IEEE International Conference on Data Mining, 2021

2019

Why these Explanations? Selecting Intelligibility Types for Explanation Goals.

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Ashraf M. Abdul

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Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Designing Theory-Driven User-Centric Explainable AI.

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Ashraf M. Abdul

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Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Interpreting Intelligibility under Uncertain Data Imputation.

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Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda.

[DOI]

Ashraf M. Abdul

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Mohan S. Kankanhalli

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

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