Qiang Zhang

Orcid: 0000-0002-7809-5818

Affiliations:
  • University of Science and Technology of China, Hefei, China


According to our database1, Qiang Zhang authored at least 12 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning.
CoRR, May, 2025

Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization.
CoRR, 2024

Hierarchical Information Enhancement Network for Cascade Prediction in Social Networks.
CoRR, 2024

Multi-perspective Memory Enhanced Network for Identifying Key Nodes in Social Networks.
CoRR, 2024

ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking.
Proceedings of the ACM on Web Conference 2024, 2024

Natural Language-centered Inference Network for Multi-modal Fake News Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection.
CoRR, 2023

Hierarchical Semantic Enhancement Network for Multimodal Fake News Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

ECENet: Explainable and Context-Enhanced Network for Muti-modal Fact verification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Team Zhang at Factify 2: Unimodal Feature-enhanced and Cross-modal Correlation learning for Multi-Modal Fact Verification.
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, 2023


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