Qinghua Zhang

Employment

• Chongqing University of Posts and Telecommunications professor
  1998 - Present

Education

• Southwest Jiaotong University PhD
  2005 - 2009
• Sichuan University bachelor
  1994 - 1998

Projects & Funding

Projects & funding information is unavailable.

Publications (64)

• Hierarchical joint fuzzy network for multimodal emotion recognition in conversations
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.115552
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• An efficient prototypical enhancement network based on entity and relation information for few-shot relation classification with direct injection
  Neurocomputing 2026 DOI: 10.1016/j.neucom.2026.134186
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• A Three-Way Incremental Granular-Ball Classifier Using Shadowed Set
  IEEE Transactions on Emerging Topics in Computational Intelligence 2026 DOI: 10.1109/TETCI.2026.3657948
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• Three-Way Outlier Detection Based on Shadowed Granular-Balls
  IEEE Transactions on Fuzzy Systems 2026 DOI: 10.1109/TFUZZ.2025.3625229
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• Capturing local and global information: Multi-view graph convolutional network via granular-ball computing and collaborative matrix
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2025.129057
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• A Novel Multigranularity Clustering Algorithm Based on Grid Partition and Fuzzy Quotient Space
  IEEE Transactions on Fuzzy Systems 2026 DOI: 10.1109/TFUZZ.2025.3636149
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• An Adaptive Density Distribution Clustering Method for Arbitrary-Shaped Datasets
  IEEE Transactions on Cybernetics 2026 DOI: 10.1109/TCYB.2025.3630602
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• Dynamic gradient fusion method with local spatial and multi-scale frequency transformations for transferable adversarial attacks
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2026.131677
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• A Novel Method for Constructing Shadowed Set Based on Intuitionistic Fuzzy λ-Cut Set and Fuzzy Entropy
  International Journal of Information Technology & Decision Making 2026 DOI: 10.1142/S0219622025501044
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• Multi-view graph convolutional network with fully leveraging consistency via granular-ball-based topology construction, feature enhancement and interactive fusion
  Knowledge-Based Systems 2026 DOI: 10.1016/j.knosys.2026.116921
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