Hongcheng Yao — Nantong University

Area of research

Cognitive Neuroscience · Experimental and Cognitive Psychology

Research interest

Research focused on Fuzzy logic and Artificial intelligence, with related work in Counterfactual thinking, Human multitasking, Reduction (mathematics). Notable publications include 'Evolutionary multistage multitasking method for feature selection in imbalanced data', 'Pheromone-guided parallel rough hypercuboid attribute reduction algorithm', and 'Quality-aware fuzzy min–max neural networks for dynamic brain network analysis and its application to schizophrenia identification'.

Recent publications

FEU-Diff: A Diffusion Model With Fuzzy Evidence-Driven Dynamic Uncertainty Fusion for Medical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems 2025cited by 2position: middledoi

Counterfactual explanations of tree based ensemble models for brain disease analysis with structure function coupling

Scientific Reports 2025cited by 2position: middledoi

Evolutionary multistage multitasking method for feature selection in imbalanced data

Swarm and Evolutionary Computation 2024cited by 7position: middledoi

Pheromone-guided parallel rough hypercuboid attribute reduction algorithm

Applied Soft Computing 2024cited by 6position: middledoi

Quality-aware fuzzy min–max neural networks for dynamic brain network analysis and its application to schizophrenia identification

Applied Soft Computing 2024cited by 3position: middledoi

Grants

No grants ingested yet.

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