News & Updates

New paper published in Frontiers in Sports and Active Living—DeM-FCN: An Ultra-Lightweight and Purely Convolutional Framework for Edge-Native Human Activity Recognition in Wearable Fitness Tracking

New paper accepted at AIiH 2026 (Imperial College London, August 2026)—DINO-Med: A Unified Patch-Based Adaptation Framework for Multi-Modal Medical Image Analysis Applied to Liver Fibrosis Staging

New paper accepted at AIiH 2026 (Imperial College London, August 2026)—Ontology-Constrained Interpretable Path Exploration for Clinical Knowledge Discovery across Traditional Chinese Medicine and Modern Biomedicine

New paper accepted in Cardiovascular Engineering and Technology—Mind the Gap: Human and AI Uncertainties in Cardiac MRI Segmentation

Serving as Publication Chair for IEEE QAI 2026—the 2nd IEEE International Conference on Quantum Artificial Intelligence, Nottingham, UK, 13–16 December 2026

Appointed Associate Editor for IEEE Computational Intelligence Magazine (CIM)

Paper accepted at AAAI 2026—DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis

Paper presented at IEEE BIBM 2025—Local-Global Attention Network via Online Self-Supervised Learning for Parkinson's Disease Diagnosis

Co-organising a Special Session: Advances in Optimisation for Fuzzy Systems at FUZZ-IEEE @ IEEE WCCI 2026—with Dr Luca Ferranti (Aalto) and Prof. Jonathan Garibaldi (Nottingham Ningbo)

New paper in PLOS Digital Health—Developing and validating an explainable digital mortality prediction tool for extremely preterm infants

Best Performance Award at MICCAI 2025 CARE Challenge—Sigma Team (Boya Wang, Ruizhe Li, Chao Chen, Xin Chen) won both Liver Fibrosis Staging tasks

New paper in IEEE Transactions on Fuzzy Systems—Constraints Always Satisfied Parameters (CASPs) for Fuzzy Sets Optimisation

Serving as Publication Chair for FUZZ-IEEE @ WCCI 2026—IEEE World Congress on Computational Intelligence, Maastricht, the Netherlands

Paper presented at FUZZ-IEEE 2025—Towards More Flexible Fuzzy Membership Functions: Learning from Data

Paper presented at IJCNN 2025—Fuzzy-Based Ensemble Method for Robust Concept Drift Detection in Multivariate Time Series

New paper in IEEE Journal of Biomedical and Health Informatics—Incomplete Multi-view Data Learning for Parkinson's Disease Diagnosis

Paper presented at IEEE CIHM 2025—Application of Fuzzy-Based Uncertainty in Cardiac MRI Segmentation

New paper in Computers & Industrial Engineering—SoftED: Metrics for soft evaluation of time series event detection

Invited talk at the 1st CIHI Workshop @ IEEE WCCI 2024, Yokohama—Optimisation of fuzzy set linguistic variable definition. Do we need it?

New preprint on arXiv—Gradient-based Fuzzy System Optimisation via Automatic Differentiation — FuzzyR as a Use Case

New paper in Information Sciences—Boundary-wise loss for medical image segmentation based on fuzzy rough sets

Paper presented at FUZZ-IEEE 2023—Fuzzy Uncertainty-based Out-of-Distribution Detection for Semantic Segmentation

Paper presented at FUZZ-IEEE 2023—Design and Implementation of a Constrained Interval Type-2 Fuzzy System for Credit Card Fraud Detection

New paper in IEEE Transactions on Fuzzy Systems—A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty

Paper presented at FUZZ-IEEE 2022—Quality Quantification in Deep CNNs for Skin Lesion Segmentation using Fuzzy Uncertainty

Tutorial at FUZZ-IEEE 2022, Padua—FuzzyR: Fuzzy Logic Toolkit for R

Paper presented at FUZZ-IEEE 2021—An Extension of FuzzyR for Non-Singleton Fuzzy Logic Systems

Paper presented at FUZZ-IEEE 2021—Designing Hierarchical Fuzzy Systems Via FuzzyR Toolbox

Paper presented at FUZZ-IEEE 2021—FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep CNNs for Image Segmentation

Paper presented at FUZZ-IEEE 2020—FuzzyR: An Extended Fuzzy Logic Toolbox for R

Paper presented at FUZZ-IEEE 2020—Comparing Intervals Using Type Reduction

Paper presented at IPMU 2020—Performance and Interpretability in Fuzzy Logic Systems — Can We Have Both?

New paper in IEEE Transactions on Fuzzy Systems—A Comprehensive Study of the Efficiency of Type-Reduction Algorithms

Paper presented at FUZZ-IEEE 2019—Just-In-Time Supply Chain Management Using Interval Type-2 Fuzzy Decision Making

FuzzyR—Fuzzy Logic Toolkit for R published on CRAN

Paper presented at GMA Workshop on Computational Intelligence 2018—Risk sensitive decision making using type reduction methods

Comment paper in IEEE Transactions on Fuzzy Systems—on the Direct Approach for the Karnik–Mendel Algorithm

New paper in Information Sciences—Type reduction operators for interval type-2 defuzzification

Book chapter in Frontiers in Computational Intelligence (Springer)—Interval Type-2 Defuzzification Using Uncertainty Weights

Paper presented at FUZZ-IEEE 2017—Type-1 and interval type-2 ANFIS: a comparison

New paper in IEEE Transactions on Fuzzy Systems—A Direct Approach for Determining the Switch Points in the Karnik–Mendel Algorithm

New paper in PLOS ONE—A new accuracy measure based on bounded relative error for time series forecasting

Paper presented at FUZZ-IEEE 2016—An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models