博士毕业于同济大学交通运输工程专业，苏黎世大学联合培养博士研究生。主要从事交通人工智能（包括交通时空大数据、交通智能管控、出行需求分析、城市计算、旅游交通、交通大模型等）、物理信息神经网络、生成式AI与应用、自然语言处理和计算机视觉等领域的研究，获2025年上海市白玉兰人才计划浦江项目、主持“四新”建设背景下跨学科课程体系创新研究项目、参与国家重点研发项目2项、国家自然科学基金1项、企业项目3项。学术论文与学术影响方面，近五年，申请人累计发表学术论文40余篇，其中以第一作者/通讯作者发表核心论文16篇。成果包含SCI/SSCI检索论文13篇，其中《IEEE Transactions on Intelligent Transportation Systems》、《Transportation Research Part C: Emerging Technologies》等中科院一区Top期刊论文8篇，二区期刊论文2篇，三区期刊论文3篇，智能交通顶会论文2篇、北大核心1篇、发明专利2项。谷歌学术引用1100余次，h-index为14、i10-index为19。科研荣誉方面，获博士研究生国家奖学金（2023）。科技奖励方面，获上海市计算机学会科学技术奖一等奖（2024）、第六届智慧交通创新大赛三等奖（2025）。学术兼职方面，担任《交通运输工程与信息学报》专栏编委，并担任 IEEE T-ITS、IEEE T-IV、IEEE T-VT、IEEE/CAA Journal of Automatica Sinica、Transportation Research Part C 等30余种交通运输与人工智能领域SCI期刊审稿人。

Google Scholar: https://scholar.google.com/citations?hl=en&user=vFFaLTIAAAAJ&view_op=list_works&sortby=pubdate

ResearchGate: https://www.researchgate.net/profile/Guojian-Zou

GitHub: https://github.com/zouguojian

代表性成果：

[1] Guojian Zou, Ting Wang, Weiping Ding, Jing Fan, and Ye Li. How to Accurately Forecast Highway Traffic Speed? A Self-Supervised Spatio-Temporal Bilateral Learning Network, IEEE Transactions on Intelligent Transportation Systems, 2026, 27(4) （SCI，中科院一区）

[2] Guojian Zou, Zhiyong Zhou, Robert Weibel, Ye Li, Ting Wang, Zongshi Liu, Weiping Ding, and Cheng Fu. Multi-Graph Spatio-Temporal Network for Traffic Accident Risk Forecasting. Pattern Recognition (2025): 112784. （SCI，中科院一区）

[3] Guojian Zou, Ziliang Lai, Ting Wang, Zongshi Liu, and Ye Li. Mt-stnet: A novel multi-task spatiotemporal network for highway traffic flow prediction. IEEE Transactions on Intelligent Transportation Systems 25, no. 7 (2024): 8221-8236.（SCI，中科院一区）

[4] Guojian Zou, Ziliang Lai, Changxi Ma, Ye Li, and Ting Wang. A novel spatio-temporal generative inference network for predicting the long-term highway traffic speed. Transportation research part C: emerging technologies 154 (2023): 104263.（SCI，中科院一区）

[5] Guojian Zou, Ziliang Lai, Changxi Ma, Meiting Tu, Jing Fan, and Ye Li. When will we arrive? A novel multi-task spatio-temporal attention network based on individual preference for estimating travel time. IEEE Transactions on Intelligent Transportation Systems 24, no. 10 (2023): 11438-11452.（SCI，中科院一区）

[6] Guojian Zou, Ziliang Lai, Ting Wang, Zongshi Liu, Jingjue Bao, Changxi Ma, Ye Li, and Jing Fan. Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed. Expert Systems with Applications 237 (2024): 121548.（SCI，中科院一区）

[7] Guojian Zou, Ziliang Lai, Ye Li, Xinghua Liu, and Wenxiang Li. Exploring the nonlinear impact of air pollution on housing prices: A machine learning approach. Economics of Transportation 31 (2022): 100272.（SCI，中科院三区）

[8] Guojian Zou, Bo Zhang, Ruihan Yong, Dongming Qin, and Qin Zhao. FDN-learning: Urban PM2. 5-concentration spatial correlation prediction model based on fusion deep neural network. Big Data Research 26 (2021): 100269.（SCI，中科院三区）

[9] Guojian Zou, Ting Wang, Honggang Wang, Jing Fan, and Ye Li. How to accurately predict traffic speed using simple input variables? a novel self-supervised spatio-temporal bilateral learning network. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pp. 4657-4662. IEEE, 2023.（智能交通系统顶级会议）

[10] Guojian Zou, Jing Fan, Honggang Wang, Changxi Ma, Ting Wang, and Ye Li. Multi-task-based spatio-temporal generative inference network for predicting highway traffic speed. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pp. 3247-3252. IEEE, 2023.（智能交通系统顶级会议）

[11] 邹国建, 赖子良,and 李晔.基于时空注意力网络的动态高速路网交通速度预测.计算机工程 49.02(2023):303-313.doi:10.19678/j.issn.1000-3428.0063777.（北大核心）

[12] Guojian Zou, Jisheng Wang, Hailei Yuan, Dong Wang, Tao Pan, Feng Song, and Bo Zhang. A space-time dimension user preference calculation method for recommendation in social network. In 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1643-1648. IEEE, 2018.（EI会议）

[13] Zongshi Liu, Guojian Zou*, Ting Wang, Meiting Tu, Hongwei Wang, and Ye Li. Learning and Predicting Traffic Conflicts in Mixed Traffic: A Spatiotemporal Graph Neural Network with Manifold Similarity Learning. Expert Systems with Applications (2026): 131183. (SCI，中科院一区)

[14] Bo Zhang, Guojian Zou (co-first), Dongming Qin, Qin Ni, Hongwei Mao, and Maozhen Li. RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model. Expert Systems with Applications 207 (2022): 118017.（SCI，中科院一区）

[15] Bo Zhang, Yi Rong, Ruihan Yong, Dongming Qin, Maozhen Li, Guojian Zou*, and Jianguo Pan. Deep learning for air pollutant concentration prediction: A review. Atmospheric Environment 290 (2022): 119347.（SCI，中科院二区）

[16] Bo Zhang, Guojian Zou (co-first), Dongming Qin, Yunjie Lu, Yupeng Jin, and Hui Wang. A novel Encoder-Decoder model based on read-first LSTM for air pollutant prediction. Science of The Total Environment 765 (2021): 144507.（SCI，中科院一区）

[17] Ting Wang, Ye Li, Rongjun Cheng, Guojian Zou, Takao Dantsuji, and Dong Ngoduy. Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach. Transportation Research Part C: Emerging Technologies 182 (2026): 105422.（SCI，中科院一区）

[18] Xinyi Ju, Ling Ding, Ru Yang, Chang Guo, Guojian Zou, Bo Zhang, and Meizi Li. Dual Contrastive Learning-based Hypergraph Convolutional Network for Aspect-based Sentiment Classification. Knowledge-Based Systems (2025): 114701.（SCI，中科院一区）

[19] Dong Li, Lei Wang, Jian Wang, Cai Chen, Xingxing Xiao, and Guojian Zou. Spatiotemporal networks for multi-city and multi-task air pollutant prediction——Beijing, Shanghai and Shenzhen as examples. Urban Climate 63 (2025): 102584.（SCI，中科院二区）

[20] Ting Wang, Ye Li, Hao Lyu, Guojian Zou, Rongjun Cheng, and Jingjue Bao. Multi-scale feature-aware spatiotemporal graph convolutional network for highway traffic flow prediction. Transportmetrica A: Transport Science (2025): 2550377.（SCI，中科院二区）

[21] Yi Rong, Yingchi Mao, Yinqiu Liu, Ling Chen, Xiaoming He, Guojian Zou, Shahid Mumtaz, and Dusit Niyato. Icst-dnet: An interpretable causal spatio-temporal diffusion network for traffic speed prediction. IEEE Transactions on Intelligent Transportation Systems (2025).（SCI，中科院一区）

[22] Ting Wang, Dong Ngoduy, Ye Li, Hao Lyu, Guojian Zou, and Takao Dantsuji. Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction. Chaos, Solitons & Fractals 187 (2024): 115437.（SCI，中科院一区）

[23] Ting Wang, Dong Ngoduy, Guojian Zou, Takao Dantsuji, Zongshi Liu, and Ye Li. PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction. Expert Systems with Applications 258 (2024): 125144.（SCI，中科院一区）

[24] Wenxiang Li, Xingguang Zhang, Guojian Zou, and Weiwei Liu. Collaborative prediction of bike-sharing demand around metro stations using spatiotemporal neural network. Transportation Research Part D: Transport and Environment 152 (2026): 105188. (SCI，中科院一区)

发明专利：

（1）樊婧; 邹国建; 尚宸宇; 李团社; 胡必松; 吴琼; 刘兴华; 宁骥龙; 王镇波; 王飞; 贾佩佩; 戴随喜; 基于多知识图神经网络模型的地铁短时OD客流预测方法, 2026-01-16, 中国, CN202510512053.X (专利)

（2）张波; 邹国建; 李美子; 倪琴; 空气污染物浓度时空域关联预测方法, 2021-08-03, 中国, ZL201811411040.X (专利)

主持和参与的项目：

（1）上海市人力资源和社会保障局，上海市白玉兰人才计划浦江项目，25PJC073，支撑“入境第一站”的上海国际旅客生成式出行交通大模型研究，2025-12 至 2028-12，15万元，在研，主持；

（2）国家自然科学基金委员会，重点项目，71734004，城市交通治理现代化理论研究，2018-01至2022-12，结题，主要参与；

2023年 获博士研究生国家奖学金

2023年 获国家留学基金委联合培养基金

2024年 获上海市计算机学会科学技术奖一等奖 

2025年 获第六届智慧交通创新大赛三等奖

2025年 获松阳“浙江省现代化交通产业集群试点（智能网联）”创新创业大赛优胜奖

担任期刊编委：

交通运输工程与信息学报青年编委

担任期刊审稿人：

IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Intelligent Vehicles、IEEE Transactions on Vehicular Technology、IEEE Transactions on Artificial Intelligence、IEEE/CAA Journal of Automatica Sinica、IEEE Internet of Things Journal、Information Sciences、Transportation Research Part C: Emerging Technologies、Transportation Research Record、Applied Soft Computing、Knowledge-Based Systems、International Journal of Geographical Information Science、Reliability Engineering & System Safety、Journal of Big Data、Results in Engineering、Journal of Hazardous Materials、Atmospheric Pollution Research、Computer Science、Computers and Electrical Engineering、Discover Computing、Engineering Applications of Artificial Intelligence、Environmental Technology & Innovation、Swarm and Evolutionary Computation、Applied Soft Computing Journal、Case Studies on Transport Policy、Big Data Research、Journal of Engineering and Applied Science、Neural Networks、Journal of King Saud University Computer and Information Sciences等