AI Fundamentals
Ethical AI:
“User-Centric Democratization towards Social Value aligned Medical AI Services”, IJCAI 2023
“Explainable artificial intelligence: an analytical review”, 2021, WIREs Data Mining and Knowledge Discovery.
Private Machine Learning:
“Emotion recognition from scrambled facial images via many graph embedding”, 2017, Pattern Recognition. (Impact Factor: 8.518, Q1)
“Face recognition in the scrambled domain via salience-aware ensembles of many kernels”, 2016, IEEE Transactions on Information Forensics and Security.
“Privacy-protected facial biometric verification via fuzzy forest learning”, 2016, IEEE Transactions on Fuzzy Systems.
Quantum AI:
“3D Quantum-inspired Self-supervised Tensor Network for Volumetric Segmentation of Medical Images”, IEEE Trans. on Neural Networks and Learning Systems, 2023
“Efficient Quantum Image Classification Using Single Qubit Encoding”, 2022, IEEE Trans Neural Networks & Learning Systems.

Artificial Brain
Brain Modelling:
“Robust Brain Age Estimation based on sMRI via Nonlinear Age-Adaptive Ensemble Learning”, IEEE Trans Neural Systems and Rehabilitation Engineering, 2022.
“Delve into Neural Activations: Towards Understanding Dying Neurons”, 2022, IEEE Trans Artificial Intelligence.
Neurodegeneratives:
“Private Facial Prediagnosis as an Edge Service for Parkinson’s DBS Treatment Valuation”, 2022, IEEE Journal of Biomedical & Health Informatics.
“Recent Advances in AI-enabled Automated Medical Diagnosis,” Jiang, Richard, et al., eds., 2022.
AI in Metaverse:
“Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach,” In The British Machine Vision Conference (BMVC), 2022.
“Silver: Novel Rendering Engine for Data Hungry Computer Vision Models”, The 2nd International Workshop on Data Quality (KDD), 2021.

Auto Systems
Robotics:
“3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors”, The 2020 International Conference on Machine Learning and Cybernetics (ICMLC), Dec 2020.
AIoT & Intelligent Vehicles:
“A Computational Model for Reputation and Ensemble-Based Learning Model for Prediction of Trustworthiness in Vehicular Ad Hoc Network”, IEEE IoT Journal, 2023.
Remote Sensing:
“Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection”, 2022, Remote Sensing.
“Deep Learning based Automated Forest Health Diagnosis from Aerial Images”, 2020, IEEE Access.