- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Health disparities and outcomes
- Brain Tumor Detection and Classification
- Cooperative Communication and Network Coding
- Evolutionary Game Theory and Cooperation
- Evolutionary Algorithms and Applications
- demographic modeling and climate adaptation
- Multi-Criteria Decision Making
- Adversarial Robustness in Machine Learning
- Evolution and Genetic Dynamics
- Internet Traffic Analysis and Secure E-voting
- Transportation Planning and Optimization
- Quality Function Deployment in Product Design
- Chronic Disease Management Strategies
Wuhan University
2023-2025
University of Sheffield
2020
Hong Kong Polytechnic University
2003
Abstract In the Quality Function Deployment (QFD) process, determining importance weights for customer requirements is an essential and crucial process. The Analytic Hierarchy Process (AHP) has been used to determine product planning, but this occurred mainly in crisp (non-fuzzy) decision applications. However, human judgment on of always imprecise vague. To make up deficiency AHP, a fuzzy AHP with extent analysis approach proposed requirements. method, triangular numbers are pairwise...
Inference outsourcing enables model owners to deploy their machine learning models on cloud servers serve users. In this paradigm, the privacy of and users should be considered. Existing solutions focus Convolutional Neural Networks (CNNs) but efficiency is much lower than GALA, which a solution that only protects user privacy. Furthermore, these adopt approximations reduce accuracy thus require retrain models. paper, we present an efficient CNN inference both Specifically, design secure...
This paper introduces the MBSSM (Mechanism-Based Social Systems Modelling) so ware architecture that is designed for expressing mechanisms of social theories with individual behaviour components in a unified way and implementing these an agent-based simulation model.The based on middle-range theory approach most recently expounded by analytical sociology object-oriented programming paradigm Unified Modelling Language diagrams.This presents two worked examples using modelling give rise to...
The generative approach to social science, in which agent-based simulations (or other complex systems models) are executed reproduce a known phenomenon, is an important tool for realist explanation. However, model, when suitably calibrated and validated using empirical data, represents just one viable candidate set of entities mechanisms. model only partially addresses the needs abductive reasoning process—specifically it does not provide insight into sets or mechanisms nor suggests these...
Largescale individual-level and agent-based models are gaining importance in health policy appraisal evaluation. Such require the accurate depiction of jurisdiction's population over extended time periods to enable modeling development non-communicable diseases under consideration historical, sociodemographic developments. We developed CASCADEPOP provide a readily available micro-synthesis microsimulation platform for US populations. The method used iterative proportional fitting integrate...