Zihan Ma

Orcid: 0009-0002-2696-4943

Affiliations:
  • Xi'an Jiaotong University, School of Computer Science and Technology, MOEKLINNS Lab, China


According to our database1, Zihan Ma authored at least 13 papers between 2022 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
From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild.
CoRR, March, 2026

2025
DiFaR: Enhancing Multimodal Misinformation Detection with Diverse, Factual, and Relevant Rationales.
CoRR, August, 2025

Graphing the Truth: Harnessing Causal Insights for Advanced Multimodal Fake News Detection.
IEEE Trans. Inf. Forensics Secur., 2025

Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Harmony in Chaos: A Progressive Noise-Resilient Network for Robust Fake News Video Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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