学术专著
1、刘伦. 感知、模拟与人工智能：智能化城市管理. 北京: 清华大学出版社（即将出版）.
2、Hassink, R., Liu, L., Jensana, A., Martinez-Taberner, G. EU-China Regional Innovation Joint Study. IUC, 2020.（报告）
3、刘伦, 陈茜. 世界建筑旅行地图（英国卷）. 北京: 中国建筑工业出版社, 2019.
4、刘伦. 世界建筑旅行地图（法国卷）. 北京: 中国建筑工业出版社, 2017.
论文
（主要成果，*号表示担任通讯作者）
1、Liu, L.*, Silva, E. A., Yang, Z. (2021). Similar outcomes, different paths: Tracing the relationship between neighborhood-scale built environment and travel behavior using activity-based modelling. Cities, 110, 103061.
2、Liu, L.*, Gao, X., Zhuang, J., Wu, W., Yang, B., Cheng, W., Xiao, P., Yao, X., Deng, O. (2020). Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu. Land Use Policy, 96, 104623. (Most Downloaded Articles in Land Use Policy)
2、刘伦, 王辉. 城市研究中的计算机视觉应用进展与展望.城市规划, 2019(1): 117-124.
4、Zhang, Y., Liu, L.*, & Wang, H. (2018). A new perspective on the temporal pattern of human activities in cities: The case of Shanghai. Cities, 87, 196-204.
3、Liu, L., Silva, E. A., & Long, Y. (2018). Block-level dynamics of socio-economic spatial differentiation in Beijing: Trends and processes. Urban Studies, 56(6), 1198-1214.
5、Zhang, Y., & Liu, L.* (2018). Understanding temporal pattern of human activities using Temporal Areas of Interest. Applied Geography, 94, 95-106.
6、Gao, X., Liu, L.*, Zhuang, J., Ou, D., Li, Q., Deng, O., Li, J., & Zeng, M. (2018). The commuting rural labour forces revealed by mobile phone trace data. Environment and Planning A: Economy and Space, 51(8), 1611-1614.
7、Liu, L., Silva, E. A., & Liu, J. (2018). A decade of battle on PM2.5 in Beijing. Environment and Planning A: Economy and Space, 50(8), 1549-1552.
8、Liu, L., Silva, E. A., Wu, C., & Wang, H. (2017). A machine learning-based method for the large-scale evaluation of the qualities of the urban environment. Computers Environment and Urban Systems, 65, 113-125. (ESI highly cited paper, Most downloaded articles on Computers Environment and Urban Systems)
9、Gao, X., Xu, A., Liu, L.*, Deng, O., Zeng, M., Ling, J., & Wei, Y. (2017). Understanding rural housing abandonment in China’s rapid urbanization. Habitat International, 67, 13-21.
10、Long, Y., & Liu, L.* (2016). Transformations of urban studies and planning in the big/open data era: A review. International Journal of Image and Data Fusion, 7(4), 295-308. (Exclusive Editor’s Choice)
11、刘伦, 刘合林, 王谦, 龙瀛. 大数据时代的智慧城市规划：国际经验. 国际城市规划, 2014(6): 38-43.
12、刘伦, 龙瀛, 麦克·巴蒂. 城市模型的回顾与展望——访谈麦克·巴蒂之后的新思考. 城市规划, 2014(8): 63-70.
书章
1、Wang, H., Silva, E. A., Liu, L. (forthcoming). Large-scale evaluation of the urban street view with deep learning method. In Carta, S. (Eds.), Machine Learning, Artificial Intelligence and Urban Assemblages: Applications in Architecture and Urban Design. Wiley.
2、Silva, E. A., Liu, L., Kwon, H. R., Niu, H., Chen, Y, & Reis, J. (2021). What’s new in urban data analytics?, In Wong, C. and Rae, A. (Eds.), Applied Data Analysis for Urban Planning and Management. Sage.
3、Silva, E. A., Liu, L., Kwon, H. R., Niu, H., & Chen, Y. (2020). Hard and soft data integration in geocomputation: Bridging mixed methods methodologies in dynamic simulation models, In Geertman, S. and Stillwell, J. (Eds.), Handbook on Planning Support Science. Edward Elgar Publishers.
