Bowen Zhang

ORCID: 0000-0003-0892-2053
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About
Contact & Profiles
Research Areas
  • 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...

10.1145/3555579 article EN Proceedings of the ACM on Human-Computer Interaction 2022-11-07

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...

10.1016/j.apgeog.2023.103179 article EN cc-by Applied Geography 2023-12-21

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...

10.1080/03081079.2023.2276703 article EN International Journal of General Systems 2023-11-08

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...

10.1080/15481603.2018.1549820 article EN GIScience & Remote Sensing 2018-11-21

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...

10.48550/arxiv.2310.01382 preprint EN other-oa arXiv (Cornell University) 2023-01-01

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...

10.48550/arxiv.2410.06651 preprint EN arXiv (Cornell University) 2024-10-09

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...

10.31235/osf.io/sruq7 preprint EN 2023-12-15

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10.2139/ssrn.4733461 preprint EN 2024-01-01

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....

10.1117/12.3052247 article EN 2024-12-30
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