A5100344549- Risk and Portfolio Optimization
- Stock Market Forecasting Methods
- Fuzzy Systems and Optimization
- Energy Load and Power Forecasting
- Optimization and Mathematical Programming
- Multi-Criteria Decision Making
- Machine Learning and ELM
- Financial Markets and Investment Strategies
- Complex Systems and Time Series Analysis
- Market Dynamics and Volatility
- Fixed Point Theorems Analysis
- Advanced Algorithms and Applications
- Stochastic processes and financial applications
- Neural Networks and Applications
- Forecasting Techniques and Applications
- Metaheuristic Optimization Algorithms Research
- Financial Risk and Volatility Modeling
- Brain Tumor Detection and Classification
- Reservoir Engineering and Simulation Methods
- Efficiency Analysis Using DEA
- Mathematical and Theoretical Epidemiology and Ecology Models
- Capital Investment and Risk Analysis
- Data Management and Algorithms
- Functional Equations Stability Results
- Smart Agriculture and AI
Capital University of Economics and Business
2016-2025
Southern University of Science and Technology
2025
Lianyungang Oriental Hospital
2025
Beihang University
2025
Xinjiang University
2013-2024
Peking University
2024
Software (Spain)
2024
Beijing Aerospace Flight Control Center
2023
Hong Kong Metropolitan University
2023
Microsoft Research (United Kingdom)
2018-2021
The Susceptible-Exposed-Infectious-Asymptomatic-Removed (SEIAR) epidemic model is one of most frequently used models. As an application uncertain differential equations to epidemiology, SEIAR derived which considers the human uncertainty factors during spread epidemic. parameters in are estimated with numbers COVID-19 cases China, and a prediction possible active made based on estimates.
This paper deals with a multiperiod portfolio selection problem in an uncertain investment environment, which the returns of securities are assumed to be variables and determined by experts' subjective evaluation. Based on theory, we present novel multiobjective mean-variance-skewness model considering multiple realistic constraints such as transaction cost, bounds holdings, cardinality, etc. For proposed solution, first apply weighted max-min fuzzy goal programming approach convert into...
ESG management of China's new energy vehicle (NEV) industry is vital to advancing sustainable development goals (SDGs). However, NEV industrial chain faces challenges, including carbon emissions, quality control, and legal compliance, which undermine corporate sustainability, hinder institutional investors from achieving long-term benefits client demands. Currently, information advantage in the co-holding network determines how much resources can provide optimize strategies. Therefore, we...