[1] 202004-202209 大阪大学 博士研究生

[2] 201609-201906 东南大学 硕士研究生

[3] 201109-201606 南昌大学 大学本科

[1] 202210-* 南昌大学 南昌大学

江西省高校人文社科一般项目（青年）

国家自然科学基金地区科学基金项目“基于生成模型的参与式社区更新知识桥接机制与领域适配路径”

基于建筑外墙缺陷数据采集及其自动检测技术开发

发表期刊论文

张嘉新,李韵琴,郑丝语,等.基于大语言模型和实时视觉反馈的城市设计教学系统开发及应用［J］.南昌大学学报（理科版）, 2025, 49（6）: 557-566.（北大核心）

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. （中科院三区SCI）

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（中科院三区SCI）

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（中科院三区SCI）

Li M, Zhu Z, Deng J, Zhang J, Li Y. Geospatial Explainable AI Uncovers Eco-Environmental Effects and Its Driving Mechanisms—Evidence from the Poyang Lake Region, China. Land. 2025; 14(7):1361.（中科院三区SSCI）

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.（中科院二区SSCI）

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.（中科院SSCI 一区Top）

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李韵琴, 张嘉新*, & 谢雨辰. (2024). 基于类激活可视化解释的街道步行空间视觉感知体验研究——以南方某大学为例. 新建筑. 2024 (6)

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)（中科院二区SSCI）

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. （中科院三区SCI期刊）

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, SCI期刊）

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. （中科院三区SCI）

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期刊）

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, 中科院一区Top）

Zheng, S.; Zhang, J.*; Zu, R.; Li, Y. Visual Perception Differences and Spatiotemporal Analysis in Commercialized Historic Streets Based on Mobile Eye Tracking: A Case Study in Nanchang Wanshou Palace, China. Buildings 2024, 14, 1899.（SCI, JCR Q2）

Xu, S., Zhang, J.*, and Li, Y., Knowledge-Driven and Diffusion Model-Based Method for Generating Historical Building Facades: A Case Study of Traditional Minnan Residences in China, Information 2024, 15(6), 344.（EI期刊）

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.（中科院一区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（中科院三区SCI）

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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, SCI, JCR Q4, IF:1.3).

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.（SCI, JCR Q2, IF: 3.9）

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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. (SCI, JCR Q1, IF: 6.167)

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. (SCI, JCR Q1, IF: 6.263)（ESI高被引论文）

Ma, K.*, Wang, B., Li, Y., & Zhang, J. (2022). Image Retrieval for Local Architectural Heritage Recommendation Based on Deep Hashing. Buildings, 12(6), 809. (SCI, JCR Q2, IF: 3.324)

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. (SCI, JCR Q2, IF: 3.1)

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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. (SCI, JCR Q2, IF: 4.342) 

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. (SCI, JCR Q2, IF: 3.1)

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李海清*, 于长江, 钱坤, & 张嘉新. (2017). 易建性: 作为环境调控与建造模式之间的必要张力——一个关于中国霍夫曼窑之建筑学价值的案例研究. 建筑学报, (7), 8-13.（CSSCI）

钱坤, 于长江, 张嘉新, & 李海清*. (2017). 基于被动式新风技术的中国霍夫曼窑改造与再利用初探——以高淳蒋山村霍夫曼窑为例. 城市建筑, (10), 36-39.

国际/国内会议论文宣讲

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. ARCHITECTURAL INFORMATICS - Proceedings of the 30th CAADRIA Conference, Tokyo, 22-29 March 2025, Volume 4, pp. 479–488.

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. 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. ACADIA 2024: Designing Change, University of Calgary, Calgary, Canada, 14-16 November 2024, CUMINCAD, 2024.

郭超, 李韵琴, & 张嘉新. (2024). 人本视角下基于自采集街景图像的景观性街道步行性评估方法—以南昌市为例. 论文发表于2024年全国建筑院系建筑数字技术教学与研究学术研讨会, 昆明理工大学, 中国昆明.

XIE, Y., LI, Y., ZHANG, J., ZHANG, J., & KUANG, Z. ANALYSIS OF DIFFERENCES IN STREET VISUAL WALKABILITY PERCEPTION BETWEEN DCNN AND VIT MODEL BASED ON PANORAMIC STREET VIEW IMAGES. CAADRIA2024（新加坡科学技术大学）

Xie, Y., Li, Y., Huang, L., & Zhang, J. (2023, November). 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). Singapore: Springer Nature Singapore. （西交利物浦大学）

Kuang, Z., Zhang, J., Huang, Y., & Li, Y. Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models. HABITS OF THE ANTHROPOCENE - Proceedings of the 43rd ACADIA Conference - Volume II: Proceedings book one, University of Colorado, Denver, USA, 26-28 October 2023, pp. 616-625. (CAAD顶会，美国多佛大学)

Zhang, J., Fukuda, T., & Yabuki, N., Li Y. (2023) SYNTHESIZING STYLE-SIMILAR RESIDENTIAL FACADE FROM SEMANTIC LABELING ACCORDING TO THE USER-PROVIDED EXAMPLE. CAADRIA2023 (CAAD顶会，印度CEPT大学)

Zhang, J., Fukuda, T., & Yabuki, N. (2021, April). Image-based Landscape Simulation with Automatic Object Removal and Facade Inpainting Using Semantic Segmentation and Generative Adversarial Networks. SimAUD 2021 (Symposium on Simulation for Architecture and Urban Design)

Zhang, J., Fukuda, T., & Yabuki, N. (2020, July). A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning. The International Conference on Computational Design and Robotic Fabrication (CDRF2020) (pp. 93-102). Springer, Singapore. （同济大学）

Li, Y., Yabuki, N., Fukuda, T., & Zhang, J. (2020, September). A big data evaluation of urban street walkability using deep learning and environmental sensors-a case study around Osaka University Suita campus. (eCAADe 2020). (CAAD顶会)

Li, Y., Zhang, J., & Yu, C. (2019, April). 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. 亚洲计算机辅助建筑设计研究协会24届年会（CAADRIA 2019）, 惠灵顿，新西兰，2019年4月（CAAD顶会）

Zhang, J., Li, Y., Li, H., & Wang, X. (2019, April). Sensitivity Analysis of Thermal Performance of Granary Building based on Machine Learning. 亚洲计算机辅助建筑设计研究协会 24 届年会（CAADRIA 2019）, 惠灵顿，新西兰，2019年4月（CAAD顶会）