研究与教学方向
新数据、新技术、新方法支撑下的空间审计、测度、感知、理解与交互
街道感知
可解释机器学习
电子邮箱：liyunqin@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
学术兼职
日本大阪大学客座研究员
高水平国际期刊《Landscape and Urban Planning》、《International Journal of Digital Earth》、《CITIES》审稿人，国际顶级会议欧洲计算机辅助建筑设计会议（ecaade）、亚洲计算机辅助建筑设计会议(CAADRIA)审稿人
获奖
国家奖学金，2014-2015学年
2016年南昌大学“优秀毕业生”
大阪大学博士课程奖学金
2014年第五届高等院校“斯维尔”杯bim建模大赛建筑节能及日照分析专项一等奖(第五名)，建筑设计专项二等奖；建设工程VR仿真系统专项二等奖；团队全能二等奖等，共八个奖项
“江苏省研究生学术创新论坛（2017）——‘数字+’与变化的长三角”活动中佳作奖获得者
发表论文
Li, Y., Yabuki, N.*, & Fukuda, T. (2022). Exploring the association between street built environment and street vitality using deep learning methods. Sustainable Cities and Society, 79, 103656. (SCI,中科院工程技术1区top， IF= 10.696)
Li, Y., Yabuki, N.*, & Fukuda, T. (2022). Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability. Landscape and Urban Planning, 230, 104603. (SCI,中科院分区：环境科学与生态学1区top， IF=8.119)
Li, Y., Yabuki, N.*, & Fukuda, T. Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning. Sustainable Cities and Society, 86, 104140. (SCI,中科院工程技术1区top， IF= 10.696)
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,中科院地球科学3区， IF=2.899)
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,中科院工程技术4区，IF：2.703)
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. Ecological Indicators , 143, 109333. (SCI,中科院环境科学与生态学2区，IF=4.958)
Li, Y., Yabuki, N., Fukuda, T. (2022). A virtual reality-based tool with human behavior measurement and analysis for feedback design of the indoor light environment. The 4th Conference on Computational Design and Robotic Fabrication (CDRF 2022), Online, June 2022.
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. The 38th Conference of the Education and research in Computer Aided Architectural Design in Europe (eCAADe 2020), Technische Universität Berlin, September 2020.（EI会议）
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. The 24th Annual Conference of the Computer Aided Architectural Design Research Association of Asia (CAADRIA 2019), Wellington, New Zealand, April 2019.（EI会议）
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, Denver, Colorado, USA, 26-28 October 2023, pp. 616-625, CUMINCAD, 2023.（EI会议）
李韵琴，俞传飞.（2018）.中日城市街区对比分析——以日本千代田街区和杭州钱江新城为例，建筑工程技术与设计（总第188期）.
张嘉新，李韵琴&许世文.（2015）基于CFD技术的传统天井式民居风环境分析——以赣北地区传统民居为例，城市建筑，(14)，204-205.