- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Stochastic processes and financial applications
- Impact of Light on Environment and Health
- Technology Use by Older Adults
- Transportation Planning and Optimization
- Comparative and International Law Studies
- Transportation and Mobility Innovations
- Spatial and Panel Data Analysis
- European and International Contract Law
- Regional Economic and Spatial Analysis
- Regional Economics and Spatial Analysis
- Optimal Power Flow Distribution
- Nanofluid Flow and Heat Transfer
- Insurance, Mortality, Demography, Risk Management
- Intergenerational Family Dynamics and Caregiving
- Electric Vehicles and Infrastructure
- Magnetic Properties and Applications
- Corporate Governance and Law
- Scientific Computing and Data Management
- Aging and Gerontology Research
- Time Series Analysis and Forecasting
- Advanced Banach Space Theory
- Data Management and Algorithms
- Power Transformer Diagnostics and Insulation
Beijing University of Chemical Technology
2022-2025
State Grid Corporation of China (China)
2024
Turing Institute
2023
London School of Theology
2023
University of Glasgow
2023
King's College London
2022-2023
The Alan Turing Institute
2023
Europe for Business
2023
Beijing Normal University
2021
Nanjing Normal University
2018
Older adults' technology learning is a long-term process, during which family members often play significant roles. Although much research has emphasized how support important, little dove into the evolution of dynamics when older adults are to use new technology. Drawing on results from qualitative study that performed semi-structured interviews with 20 and 18 younger in China, we unpack were involved over time. Our findings suggest transformative roles throughout stages, i.e., as...
Sustainable and inclusive urban development requires a thorough understanding of income distribution poverty. Recent related research has extensively explored the use automatically generated sensor data to proxy economic activities. Notably, human mobility patterns have been found exhibit strong associations with socioeconomic attributes great potential for estimation. However, representation complex their effectiveness in estimation needs further investigation. To address this, we propose...
Knock-in options are a type of barrier option that become active when the value underlying asset exceeds predetermined target. This paper investigates knock-in based on mean-reverting stock model within an uncertain environment where interest rate is dynamic and price follows geometric process. We subsequently provide formulas for European up-and-in call down-and-in put option. Additionally, we apply real data from financial market employ moments estimation to derive optimal parameters under...
Participatory modeling is an important approach for solving complex geo-problems from a comprehensive and holistic viewpoint, it brings together stakeholders multiple disciplines to provide diverse resources, including modeling, data fields computational assets. Data configuration work (e.g., preparing appropriate input model execution, connecting model's output the of another model) constructing executing participatory task. Most current methods depend on integration logic, which presents...
Despite their remarkable achievements, modern Large Language Models (LLMs) face exorbitant computational and memory footprints. Recently, several works have shown significant success in training-free data-free compression (pruning quantization) of LLMs that achieve 50 - 60% sparsity reduce the bit width to 3 or 4 bits per weight, with negligible degradation perplexity over uncompressed baseline. As recent research efforts are focused on developing increasingly sophisticated methods, our work...
In various scientific and engineering fields, the primary research areas have revolved around physics-based dynamical systems modeling data-driven time series analysis. According to embedding theory, can be mutually transformed using observation functions physical reconstruction techniques. Based on this, we propose Embedding Duality Theory, where parameterized layer essentially provides a linear estimation of non-linear dynamics. This theory enables us bypass directly employ techniques...
Modelling complex systems like cities requires a theory of how elements interact (e.g. transport influences trade, education and housing impact labour, etc.), tempered by the tractability measurements assumptions. Combining 2017 national UK Input-Output accounting table with local population sector employment tallies from Office National Statistics (ONS), we develop an Multi-Regional model novel spatial-interaction cost component to estimate trade between 48 their Gross Domestic Products...
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The hot spot temperature of an oil-immersed transformer is a critical indicator its service life and operational performance. In this study, detailed examination 66kV naturally cooled conducted by establishing two-dimensional physical model simulating the transient field under natural oil circulation conditions using finite element software. This analysis primarily focuses on rise from initial moment until thermal equilibrium reached, providing insights into dynamics transformer....