Scientific Research Achievements
Scientific Research Achievements
**Journal Publications**
Zhang, J., Li, Y., Zheng, S., et al. (2025). Development and Application of an Urban Design Teaching System Based on Large Language Models and Real-Time Visual Feedback. *Journal of Nanchang University (Natural Science)*, 49(6), 557–566. (Chinese Core)
Zhou, Q., Zhang, J.*, & Zhu, Z. (2025). Evaluating Urban Visual Attractiveness Perception Using Multimodal Large Language Model and Street View Images. *Buildings*, 15(16), 2970. (SCIE, CAS Zone 3)
Huang, D., Gong, W., Wang, X., Liu, S., Zhang, J., & Li, Y. (2025). A Cognition–Affect–Behavior Framework for Assessing Street Space Quality in Historic Cultural Districts and Its Impact on Tourist Experience. *Buildings*, 15(15), 2739. https://doi.org/10.3390/buildings15152739 (SCIE, CAS Zone 3)
Yu, Y., Yu, Z., Shi, X., Wan, R., Wang, B., & Zhang, J.* (2025). Towards Transparent Urban Perception: A Concept-Driven Framework with Visual Foundation Models. *ISPRS International Journal of Geo-Information*, 14(8), 315. https://doi.org/10.3390/ijgi14080315 (SCIE, CAS Zone 3)
Li, M., Zhu, Z., Deng, J., Zhang, J., & Li, Y. (2025). Geospatial Explainable AI Uncovers Eco-Environmental Effects and Its Driving Mechanisms—Evidence from the Poyang Lake Region, China. *Land*, 14(7), 1361. (SSCI, CAS Zone 3)
Kuang, Z., Zhang, J.*, Li, Y., & Fukuda, T. (2025). Preserving Architectural Heritage in Urban Renewal: A Stable Diffusion Model Framework for Automated Historical Facade Generation. *npj Heritage Science*, 13(1), 1–19. (SSCI, CAS Zone 2)
Zhang, J., Li, Y.*, Fukuda, T., & Wang, B. (2025). Urban Safety Perception Assessments via Integrating Multimodal Large Language Models with Street View Images. *Cities*, 165, 106122. (SSCI, CAS Zone 1 Top)
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Li, Y., Zhang, J.*, & Xie, Y. (2024). A Study on Visual Perception Experience of Pedestrian Spaces Using Class Activation Visualization Explanation: A Case Study of a University in Southern China. *New Architecture*, 2024(6). (In Chinese)
Xie, Y., Zhang, J., Li, Y., Zhu, Z., Deng, J., & Li, Z.* (2024). Integrating Multi-Source Urban Data with Interpretable Machine Learning for Uncovering the Multidimensional Drivers of Urban Vitality. *Land*, 13(12). (SSCI, CAS Zone 2)
Liang, H., Zhang, J., Li, Y., Wang, B., & Huang, J. (2024). Automatic Estimation for Visual Quality Changes of Street Space Via Street-View Images and Multimodal Large Language Models. *IEEE Access*. (SCIE, CAS Zone 3)
Zheng, S., Zhang, J.*, Zu, R., & Li, Y. (2024). Vision Transformer-Enhanced Thermal Anomaly Detection in Building Facades Through Fusion of Thermal and Visible Imagery. *Journal of Asian Architecture and Building Engineering*, 1–15. (A&HCI, SCIE)
Ma, Q., Zhang, J.*, & Li, Y. (2024). Advanced Integration of Urban Street Greenery and Pedestrian Flow: A Multidimensional Analysis in Chengdu’s Central Urban District. *ISPRS International Journal of Geo-Information*, 13(7), 254. (SCIE, CAS Zone 3)
Zhang, J., Huang, Y., Li, Z., Li, Y., Yu, Z., & Li, M.* (2024). Development of a Method for Commercial Style Transfer of Historical Architectural Facades Based on Stable Diffusion Models. *Journal of Imaging*, 10(7), 165. (EI)
Zhang, J., Xiang, R., Kuang, Z., Wang, B., & Li, Y.* (2024). ArchGPT: Harnessing Large Language Models for Supporting Renovation and Conservation of Traditional Architectural Heritage. *Heritage Science*, 12(1), 1–14. (A&HCI, CAS Zone 1 Top)
Zheng, S., Zhang, J.*, Zu, R., & Li, Y. (2024). Visual Perception Differences and Spatiotemporal Analysis in Commercialized Historic Streets Based on Mobile Eye Tracking: A Case Study in Nanchang Wanshou Palace, China. *Buildings*, 14, 1899. (SCIE, JCR Q2)
Xu, S., Zhang, J.*, & Li, Y. (2024). Knowledge-Driven and Diffusion Model-Based Method for Generating Historical Building Facades: A Case Study of Traditional Minnan Residences in China. *Information*, 15(6), 344. (EI)
Wang, B., Zhang, J.*, Zhang, R., Li, Y., Li, L., & Nakashima, Y. (2024). Improving Facade Parsing with Vision Transformers and Line Integration. *Advanced Engineering Informatics*, 60, 102463. (SCIE, CAS Zone 1 Top)
Wan, R., Zhang, J.*, Huang, Y., Li, Y., Hu, B., & Wang, B. (2024). Leveraging Diffusion Modeling for Remote Sensing Change Detection in Built-Up Urban Areas. *IEEE Access*. (SCIE, CAS Zone 3)
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Zhang, J., Hu, J., Zhang, X., Li, Y., & Huang, J. (2023). Towards a Fairer Green City: Measuring Unfairness in Daily Accessible Greenery in Chengdu’s Central City. *Journal of Asian Architecture and Building Engineering*. (A&HCI, SCIE, JCR Q4)
Zhang, J., Yu, Z., Li, Y., & Wang, X. (2023). Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception. *Land*, 12(7), 1322. (SCIE, JCR Q2)
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Zhang, J., Fukuda, T.*, & Yabuki, N. (2022). Automatic Generation of Synthetic Datasets from a City Digital Twin for Use in the Instance Segmentation of Building Facades. *Journal of Computational Design and Engineering*. (SCIE, JCR Q1)
Hu, J., Zhang, J.*, & Li, Y. (2022). Exploring the Spatial and Temporal Driving Mechanisms of Landscape Patterns on Habitat Quality in a City Undergoing Rapid Urbanization Based on GTWR and MGWR: The Case of Nanjing, China. *Ecological Indicators*, 143, 109333. (SCIE, JCR Q1, ESI Highly Cited Paper)
Ma, K.*, Wang, B., Li, Y., & Zhang, J. (2022). Image Retrieval for Local Architectural Heritage Recommendation Based on Deep Hashing. *Buildings*, 12(6), 809. (SCIE, JCR Q2)
Tang, Y., Zhang, J., Liu, R.*, & Li, Y. (2022). Exploring the Impact of Built Environment Attributes on Social Followings Using Social Media Data and Deep Learning. *ISPRS International Journal of Geo-Information*, 11(6), 325. (SCIE, JCR Q2)
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Zhang, J., Fukuda, T.*, & Yabuki, N. (2021). Automatic Object Removal with Obstructed Facades Completion Using Semantic Segmentation and Generative Adversarial Inpainting. *IEEE Access*, 9, 117486–117495. (SCIE, JCR Q2)
Zhang, J., Fukuda, T.*, & Yabuki, N. (2021). Development of a City-Scale Approach for Façade Color Measurement with Building Functional Classification Using Deep Learning and Street View Images. *ISPRS International Journal of Geo-Information*, 10(8), 551. (SCIE, JCR Q2)
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Li, H.*, Yu, C., Qian, K., & Zhang, J. (2017). Constructability: The Essential Tension Between Environmental Regulation and Construction Patterns—A Case Study on the Architectural Value of Chinese Hoffman Kilns. *Architectural Journal*, (7), 8–13. (CSSCI, in Chinese)
Qian, K., Yu, C., Zhang, J., & Li, H.* (2017). Preliminary Study on Renovation and Reuse of Chinese Hoffman Kilns Based on Passive Fresh Air Technology—A Case Study of Jiangshan Village Hoffman Kiln in Gaochun. *Urbanism and Architecture*, (10), 36–39. (In Chinese)
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**Conference Presentations**
Liao, S., Li, Y., Zhang, J., & Li, M. (2025). Gender Differences in Visual Perception of Campus Pedestrian Spaces Based on Computer Vision Technology: A Case Study of a University Campus. In *Architectural Informatics - Proceedings of the 30th CAADRIA Conference* (Vol. 4, pp. 479–488). Tokyo, Japan, March 22–29, 2025.
Zheng, S., Huang, Y., Zhang, J., Li, Y., & Li, Z. (2025). Enhancing Stakeholder Communication in Urban Design Through Real-Time Visual Feedback and Large Language Models. Presented at *CAADRIA 2025*, University of Tokyo, Tokyo, Japan, March 22–29, 2025.
Xie, Y., Li, Y., Zhang, J., et al. (2024). What Is the Difference Between Images and Real-World Scenes in Street Visual Walkability Perception: A Case Study of a University Campus. In *Proceedings of the 42nd eCAADe Conference*, Nicosia, Cyprus.
Kuang, Z., Zhang, J., Luo, X., Xie, Y., & Li, Y. (2024). Synthesizing User Preferences from Supplier Catalogs: A Large Multimodal Models Framework for Tailored Interior Design Solution. In *ACADIA 2024: Designing Change* (pp. 1–15). University of Calgary, Calgary, Canada, November 14–16, 2024.
Guo, C., Li, Y., & Zhang, J. (2024). A Human-Centered Approach for Assessing Landscape Street Walkability Based on Self-Collected Street View Images: A Case Study of Nanchang. Paper presented at the *2024 National Symposium on Digital Technology Teaching and Research in Architecture*, Kunming University of Science and Technology, Kunming, China. (In Chinese)
Xie, Y., Li, Y., Zhang, J., Zhang, J., & Kuang, Z. (2024). Analysis of Differences in Street Visual Walkability Perception Between DCNN and VIT Model Based on Panoramic Street View Images. In *Proceedings of CAADRIA 2024*. Singapore University of Technology and Design, Singapore.
Xie, Y., Li, Y., Huang, L., & Zhang, J. (2023). Analysis of Differences in Street Visual Walkability Between Human and Machine Perception: A Case Study of an Anonymous University Campus. In *xArch–Creativity in the Age of Digital Reproduction Symposium* (pp. 160–168). Springer Nature Singapore. Presented at XJTLU, Suzhou, China.
Kuang, Z., Zhang, J., Huang, Y., & Li, Y. (2023). Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models. In *Habits of the Anthropocene - Proceedings of the 43rd ACADIA Conference* (Vol. II, pp. 616–625). University of Colorado Denver, USA, October 26–28, 2023.
Zhang, J., Fukuda, T., Yabuki, N., & Li, Y. (2023). Synthesizing Style-Similar Residential Facade from Semantic Labeling According to the User-Provided Example. In *Proceedings of CAADRIA 2023*. CEPT University, Ahmedabad, India.
Zhang, J., Fukuda, T., & Yabuki, N. (2021). Image-Based Landscape Simulation with Automatic Object Removal and Facade Inpainting Using Semantic Segmentation and Generative Adversarial Networks. In *Proceedings of SimAUD 2021*.
Zhang, J., Fukuda, T., & Yabuki, N. (2020). A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning. In *The International Conference on Computational Design and Robotic Fabrication (CDRF 2020)* (pp. 93–102). Springer, Singapore. Presented at Tongji University, Shanghai, China.
Li, Y., Yabuki, N., Fukuda, T., & Zhang, J. (2020). A Big Data Evaluation of Urban Street Walkability Using Deep Learning and Environmental Sensors—A Case Study Around Osaka University Suita Campus. In *Proceedings of eCAADe 2020*.
Li, Y., Zhang, J., & Yu, C. (2019). Intelligent Multi-Objective Optimization Method for Complex Building Layout Based on Pedestrian Flow Organization—A Case Study of People's Court Building in Anhui, China. In *Proceedings of the 24th CAADRIA Conference*. Wellington, New Zealand.
Zhang, J., Li, Y., Li, H., & Wang, X. (2019). Sensitivity Analysis of Thermal Performance of Granary Building Based on Machine Learning. In *Proceedings of the 24th CAADRIA Conference*. Wellington, New Zealand.