Haoran Zeng
Biographic Data
| ID | 6312752 |
|---|---|
| NAME | Haoran Zeng |
| GIVEN NAMES | Haoran |
| FAMILY NAME | Zeng |
| SIGNATURE | ZENG H |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-9973-4228 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Evaluating sentiment analysis models in healthcare: Addressing bias and enhancing interpretability
Introduction: Advancing trustworthy AI applications in healthcare necessitates systems that are not only high-performing but also capable of explaining decisions and addressing biases, particularly in critical tasks like sentiment analysis on clinical narratives and patient feedback. Conventional sentiment analysis methods, while effective in general applications, struggle with domain shift, linguistic variability, and ambiguous labeling in healt…
Grid, Patch, or Multi‐Scale Integration? A Comparative Analysis for Cellular Automata‐Based Urban Growth Simulations
Capturing patch features can significantly enhance the performance of cellular automata (CA)‐based land use modeling. However, current research has yet to comprehensively explore the definition of patch‐based CA simulation rules and their integration with grid‐based rules. This study proposes a generalized urban CA framework that integrates grid‐ and patch‐based rules across scales. Using Beijing's urban growth from 2000 to 2020 as a case study, …
An optimization-simulation modeling framework for exploring the dynamic correlation between the coordinated development of the human-nature nexus and land use under uncertainty
Modeling self-organized urban growth by incorporating stakeholders' interactions into the neighborhood of cellular automata
A size-adaptive strategy to characterize spatially heterogeneous neighborhood effects in cellular automata simulation of urban growth
A hybrid modeling approach considering spatial heterogeneity and nonlinearity to discover the transition rules of urban cellular automata models
Urban sprawl is a typical geographic dynamic process with spatial heterogeneity and nonlinearity. However, current studies usually focus on only one of them to extract urban sprawl mechanisms and build cellular automata (CA) models. In the current work, the urban CA transition rules are derived by a geographically weighted artificial neural network (GWANN), which can discover the driving mechanism of urban sprawl by considering both spatial heter…
The Emotion Regulation Mechanism in Neurotic Individuals: The Potential Role of Mindfulness and Cognitive Bias
Neuroticism is a personality trait that impacts daily life and raises the risk of mental problems and physical illnesses. To understand the emotion regulation mechanism of neurotic individuals, we developed two complementary studies to examine the effects of mindfulness and negative cognitive bias. In Study 1, four scales (EPQ-RSC, FFMQ, CERQ, NCPBQ) were used for assessment. Correlation analysis and structural comparison showed that: (1) the lev…
Simulating urban land growth by incorporating historical information into a cellular automata model
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Simulating urban land growth by incorporating historical information into a cellular automata model
A size-adaptive strategy to characterize spatially heterogeneous neighborhood effects in cellular automata simulation of urban growth
A hybrid modeling approach considering spatial heterogeneity and nonlinearity to discover the transition rules of urban cellular automata models
Urban sprawl is a typical geographic dynamic process with spatial heterogeneity and nonlinearity. However, current studies usually focus on only one of them to extract urban sprawl mechanisms and build cellular automata (CA) models. In the current work, the urban CA transition rules are derived by a geographically weighted artificial neural network (GWANN), which can discover the driving mechanism of urban sprawl by considering both spatial heter…
The Emotion Regulation Mechanism in Neurotic Individuals: The Potential Role of Mindfulness and Cognitive Bias
Neuroticism is a personality trait that impacts daily life and raises the risk of mental problems and physical illnesses. To understand the emotion regulation mechanism of neurotic individuals, we developed two complementary studies to examine the effects of mindfulness and negative cognitive bias. In Study 1, four scales (EPQ-RSC, FFMQ, CERQ, NCPBQ) were used for assessment. Correlation analysis and structural comparison showed that: (1) the lev…
An optimization-simulation modeling framework for exploring the dynamic correlation between the coordinated development of the human-nature nexus and land use under uncertainty
Modeling self-organized urban growth by incorporating stakeholders' interactions into the neighborhood of cellular automata
Evaluating sentiment analysis models in healthcare: Addressing bias and enhancing interpretability
Introduction: Advancing trustworthy AI applications in healthcare necessitates systems that are not only high-performing but also capable of explaining decisions and addressing biases, particularly in critical tasks like sentiment analysis on clinical narratives and patient feedback. Conventional sentiment analysis methods, while effective in general applications, struggle with domain shift, linguistic variability, and ambiguous labeling in healt…
Grid, Patch, or Multi‐Scale Integration? A Comparative Analysis for Cellular Automata‐Based Urban Growth Simulations
Capturing patch features can significantly enhance the performance of cellular automata (CA)‐based land use modeling. However, current research has yet to comprehensively explore the definition of patch‐based CA simulation rules and their integration with grid‐based rules. This study proposes a generalized urban CA framework that integrates grid‐ and patch‐based rules across scales. Using Beijing's urban growth from 2000 to 2020 as a case study, …
Land Use and Ecosystem Services (6 works) · Cellular automaton (5 works) · Computer Science (5 works) · Urban Design and Spatial Analysis (4 works) · Artificial Intelligence (3 works) · Mathematics (3 works) · Engineering (2 works) · Remote Sensing and Land Use (2 works) · Urban planning (2 works) · Adversarial system (1 works)