Weihuan Deng
Biographic Data
| ID | 6157871 |
|---|---|
| NAME | Weihuan Deng |
| GIVEN NAMES | Weihuan |
| FAMILY NAME | Deng |
| SIGNATURE | DENG W |
| AFFILIATIONS | Sun Yat-sen University |
| ORCID | 0000-0002-4146-1941 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing traditional surveys with village view imagery and multimodal large language models
Quantifying visual hollowing in rural settlements from large-scale rural street-view imagery
Unveiling the environmental accommodation with cultural identity in vernacular houses through knowledge-fused explainable AI
Vernacular houses are a physical representation of humans adapting their dwellings to new natural and cultural environments using traditional architectural techniques. The variation among vernacular houses involves long-term human endeavors to balance environmental accommodation and cultural identity. Due to the lack of large-scale data and quantitative measuring techniques for housing features, evaluating holistic and fine-grained similarity amo…
Visualising transformation in rural housing landscapes
Rural housing landscapes in China are undergoing significant transformation, with a growing trend towards de-localization that reflects broader cultural and social shifts. Unlike previous studies emphasising top-down influences, this research highlights how rural residents engage with digital platforms, adopt architectural styles from urban experiences, and redefine their built environments according to evolving aspirations. Using image-to-data a…
Sky-Scanning for Energy
The pursuit of the Sustainable Development Goals has highlighted rural electricity consumption patterns, necessitating innovative analytical approaches. This paper introduces a novel method for predicting rural electricity consumption by leveraging deep convolutional features extracted from satellite imagery. The study employs a pretrained remote sensing interpretation model for feature extraction, streamlining the training process and enhancing …
No prominent works on this page.
Sky-Scanning for Energy
The pursuit of the Sustainable Development Goals has highlighted rural electricity consumption patterns, necessitating innovative analytical approaches. This paper introduces a novel method for predicting rural electricity consumption by leveraging deep convolutional features extracted from satellite imagery. The study employs a pretrained remote sensing interpretation model for feature extraction, streamlining the training process and enhancing …
Unveiling the environmental accommodation with cultural identity in vernacular houses through knowledge-fused explainable AI
Vernacular houses are a physical representation of humans adapting their dwellings to new natural and cultural environments using traditional architectural techniques. The variation among vernacular houses involves long-term human endeavors to balance environmental accommodation and cultural identity. Due to the lack of large-scale data and quantitative measuring techniques for housing features, evaluating holistic and fine-grained similarity amo…
Visualising transformation in rural housing landscapes
Rural housing landscapes in China are undergoing significant transformation, with a growing trend towards de-localization that reflects broader cultural and social shifts. Unlike previous studies emphasising top-down influences, this research highlights how rural residents engage with digital platforms, adopt architectural styles from urban experiences, and redefine their built environments according to evolving aspirations. Using image-to-data a…
Enhancing traditional surveys with village view imagery and multimodal large language models
Quantifying visual hollowing in rural settlements from large-scale rural street-view imagery
Geography (2 works) · Impact of Light on Environment and Health (2 works) · Rural area (2 works) · Accommodation (1 work) · Advanced Neural Network Applications (1 work) · Archaeology (1 work) · Art (1 work) · Astronomy (1 work) · China (1 work) · Computer Science (1 work)