研究与教学方向
城市社会学
数字化建筑调研方法
城市更新
机器学习在城市研究中的应用
电子邮箱：jiaxin.arch@ncu.edu.cn
教育简历
南昌大学建筑与工程学院，建筑学学士，2016年
东南大学建筑学院，建筑学硕士，2019年
大阪大学能源与环境学院，工学博士，2022年
大阪大学环境设计与信息技术实验室，特聘研究员，2022年11月至今
行政兼职
南昌大学，部省合建与国内合作办公室副主任，2024年4月至今
科研项目
参与国家社会科学基金一般项目：“中国本土性现代建筑的技术史研究（1910-1950）”（15BZS089）
参与日本学术振兴会（JSPS）一般基础研究“开发一个使用深度学习估计环境的环境设计支持混合现实系统”，基金号JP19K12681
参与江西省高校人文社会科学重点研究基地2023年度项目：本土建筑文化视角下的城市更新：传统与现代结合的实现路径研究（依托基地:南昌大学文化资源与产业研究院）。项目批准号：Key Research Base of Humanities and Social Sciences of Universities in Jiangxi Province（JD23003)
主持江西省教育厅内地与港澳高等学校师生交流计划项目：“科技领航·筑梦家园”联合工作营
获奖
第五届2014年高等院校“斯维尔”杯BIM建模大赛建筑节能及日照分析专项一等奖
第三届2017年“中国人居环境设计教育年会暨学年奖”建筑设计组铜奖
爱思唯尔（Elsevier）中国金色开放获取高下载论文学者（2023第三季度）
第21届2024年日本前田工学促进基金会“山田一宇奖i-construction领域”，优秀博士论文奖（https://www.maedakksz.or.jp/prize/#winner-y）
学术兼职
Geo-spatial Information Science (中科院Top SCI), Cities (中科院Top SCI), Journal of Asian Architecture and Building Engineering (SCI)审稿人。
欧洲计算机辅助建筑设计教育与研究会议（eCAADe）审稿人, 亚洲计算机辅助建筑设计协会会议（CAADRIA）审稿人，世界生态设计大会（WEDC）学术委员会委员
发表期刊论文
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. （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）
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）
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)（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)
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)
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
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. (EI会议，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 (EI会议，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). (EI会议)
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（EI会议）
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（EI会议）