I.基本信息
周洋，副教授，工学博士。主要从事地理信息科学相关的教学科研工作，研究方向包括大数据GIS，城市计算，时空数据挖掘。欢迎有GIS、计算机技术、资源与环境、或人文地理城乡规划等专业背景的学生报考。
硕士生招生专业： 地理学（地理信息科学），测绘工程/资源与环境，学科教学(地理)
Email：yzhou2017@ccnu.edu.cn
II.科研项目：
1.国家自然科学基金面上项目，2026-2029，主持
2.广东省城市空间信息工程重点实验室开放基金，2024-2025，主持
3.中央高校基本科研业务费，2025-2026，主持
4.国家自然科学基金青年基金, 2021-2023，主持（已结题）
5.中央高校基本科研业务费，2020-2021，主持（已结题）
6.地理空间大数据挖掘与应用湖南省重点实验室开放基金，2019-2021，主持（已结题）
7.中央高校基本科研业务费， 2018-2019，主持（已结题）
III.论文：
1.Xiaomeng Sun, Yang Zhou*, Qiuping Li, Jean-Claude Thill, 2026. A Multiview Spatio-Temporal Learning Model for Co-Predicting Multimodal Origin–Destination Demand. Transactions in GIS, 30(4), June, e70323. https://doi.org/10.1111/tgis.70323
2.Rui Xiao, Yang Zhou*, Xingjian Liu*, Qingping Li, 2026. Temporal changes in human perception of street space: A street view images-based analysis. Applied Spatial Analysis and Policy, 19, 174 (2026). https://doi.org/10.1007/s12061-026-09952-7
3.Yang Zhou*, Rui Xiao, Qiuping Li, Feng Zhao, Jian Fang, 2026. Mapping city-wide allergenic risk zones of Platanus trees using street view images and deep learning. Trees, Forests and People, 24, March, 101204. https://doi.org/10.1016/j.tfp.2026.101204
4.Qiuping Li*, Yan Wei, Yang Zhou, Suhong Zhou, Ling Yin, 2026. Exploring inter-user differences in bike-sharing origin-destination flows across rainfall intensities. Travel Behaviour and Society, 42, January, 101166. https://doi.org/10.1016/j.tbs.2025.101166
5.Yang Zhou*, Jean-Claude Thill, Xingjian Liu*, Chen Zhong, Wei Tu, 2025. Measuring and understanding changes in the physical built environment of cities with street view images. Urban Informatics 4, 3. https://doi.org/10.1007/s44212-025-00069-9
6.Dan Zou, Qiuping Li*, Yang Zhou, Shen Liang, Suhong Zhou. 2025. Understanding Factors Associated with Individuals’ Non-Mandatory Activities Using Machine Learning and SHAP Interpretation: A Case Study of Guangzhou, China. Travel Behaviour and Society 38: 100894. https://doi.org/10.1016/j.tbs.2024.100894
7.周洋, 孙潇萌, 陶然*, 刘鹏程, 郑文升. 利用地理流时空相关性分析揭示人群移动规律[J]. 测绘通报, 2024, (10): 125-131.10.13474/j.cnki.11-2246.2024.1021.
8.Xiaomeng Sun, Xingjian Liu, and Yang Zhou*. 2023. Delineating Peri-Urban Areas Using Multi-Source Geo-Data: A Neural Network Approach and SHAP Explanation. Remote Sensing 15, no. 16: 4106.https://doi.org/10.3390/rs15164106
9.周洋*，曹俊杰, 2023. 基于GNSS轨迹的消防车活动识别与特征分析, 测绘地理信息, 48（5）: 7-12.
10.Yang Zhou, Jean-Claude Thill, Yang Xu, Zhixiang Fang, 2021. Variability in individual home-work activity patterns. Journal of Transport Geography, Volume 90, January 2021, 102901.
11.Yang Zhou, Zhixiang Fang, Qingming Zhan, Yaping Huang, Xiongwu Fu, 2017. Inferring social functions available in the metro station area from passengers’ staying activities in smart card data. ISPRS International Journal of Geo-Information, 6(12), 394.
12.周洋，方志祥，李清泉，郭善昕, 2016. 利用经验约束规则和证据理论进行出租车异常轨迹检测. 武汉大学学报·信息科学版，6(41): 1-6
13.Yang Zhou, Zhixiang Fang, Jean-Claude Thill, Qingquan Li, Yuguang Li, 2015. Functionally critical locations in an urban transportation network: Identification and space-time analysis using taxi trajectories. Computers, Environment and Urban Systems, 52: 34-47.
IV.专著、专利：
1.刘忠雨，李彦霖，周洋，2019. 深入浅出图神经网络:GNN原理解析. 机械工业出版社
2.Yang Zhou, Jean-Claude Thill, 2020. Urban nodal regions through communities of functionally critical locations in the transportation network. Development Studies in Regional Science: Essays in Honor of Kinsley E. Haynes, Chapter 16.
3.发明专利：基于多任务学习的建成环境要素变化识别方法及系统（ZL 202610861036.1），2026.06 (序1/3)
4.发明专利：一种用于遥感时间序列重建的频域多尺度融合方法及装置（ZL 2025 1 1580751.X），2026.02 (序5/5)
5.发明专利：基于多任务学习多模式出行流协同预测方法、系统及装置（CN119862994A），2025.10 (序1/3)
6.发明专利：一种基于自编码器神经网络的曲线数据压缩方法及系统（CN202410562022.0），2025.04.18 （序3/3）
