Guojian Zou

22 papers Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
How to Accurately Forecast Highway Traffic Speed? A Self-Supervised Spatio-Temporal Bilateral Learning Network.
IEEE Trans. Intell. Transp. Syst.
Guojian Zou, Ting Wang, Weiping Ding, Jing Fan, Ye Li
2026 J jnl
Learning and predicting traffic conflicts in mixed traffic: A spatiotemporal graph neural network with manifold similarity learning.
Expert Syst. Appl.
Zongshi Liu, Guojian Zou, Ting Wang, Meiting Tu, Hongwei Wang, Ye Li
2026 J jnl
Multi-graph spatio-temporal network for traffic accident risk forecasting.
Pattern Recognit.
Guojian Zou, Zhiyong Zhou, Robert Weibel, Ye Li, Ting Wang, Zongshi Liu, Weiping Ding, Cheng Fu
2025 J jnl
Adaptive Deployment of Fixed Traffic Detectors Based on Attention Mechanism.
Syst.
Wenzhi Zhao, Ting Wang, Guojian Zou, Honggang Wang, Ye Li
2025 J jnl
Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving.
CoRR
Fujiang Yuan, Zhen Tian, Yangfan He, Guojian Zou, Chunhong Yuan, Yanhong Peng, Zhihao Lin
2025 J jnl
Dual contrastive learning-based hypergraph convolutional network for aspect-based sentiment classification.
Knowl. Based Syst.
Xinyi Ju, Ling Ding, Ru Yang, Chang Guo, Guojian Zou, Bo Zhang, Meizi Li
2025 J jnl
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction.
IEEE Trans. Intell. Transp. Syst.
Yi Rong, Yingchi Mao, Yinqiu Liu, Ling Chen, Xiaoming He, Guojian Zou, Shahid Mumtaz, Dusit Niyato
2025 J jnl
Physics-informed deep operator network for traffic state estimation.
CoRR
Zhihao Li, Ting Wang, Guojian Zou, Ruofei Wang, Ye Li
2024 J jnl
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach.
CoRR
Ting Wang, Ye Li, Rongjun Cheng, Guojian Zou, Takao Dantsuji, Dong Ngoduy
2024 J jnl
MT-STNet: A Novel Multi-Task Spatiotemporal Network for Highway Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Guojian Zou, Ziliang Lai, Ting Wang, Zongshi Liu, Ye Li
2024 J jnl
Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed.
Expert Syst. Appl.
Guojian Zou, Ziliang Lai, Ting Wang, Zongshi Liu, Jingjue Bao, Changxi Ma, Ye Li, Jing Fan
2024 — conf
Non-Stationary-Oriented Highway Traffic Flow Spatiotemporal Prediction: Joint Koopman Theory and Graph Convolutional Network.
ITSC
Ting Wang, Dong Ngoduy, Hao Lyu, Guojian Zou, Jingjue Bao, Ye Li
2024 J jnl
PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction.
Expert Syst. Appl.
Ting Wang, Dong Ngoduy, Guojian Zou, Takao Dantsuji, Zongshi Liu, Ye Li
2023 — conf
A Fusion Deep Learning Network for Shared e-Bike Demand Prediction with Spatiotemporal Dependencies.
ITSC
Ailing Yin, Xiaohong Chen, Guojian Zou
2023 J jnl
A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM.
Neurocomputing
Bo Zhang, Yuan Liu, Ruihan Yong, Guojian Zou, Ru Yang, Jianguo Pan, Maozhen Li
2023 — conf
How to Accurately Predict Traffic Speed Using Simple Input Variables? A Novel Self-Supervised Spatio-Temporal Bilateral Learning Network.
ITSC
Guojian Zou, Ting Wang, Honggang Wang, Jing Fan, Ye Li
2023 J jnl
Impact Evaluation of Cyberattacks on Connected and Automated Vehicles in Mixed Traffic Flow and Its Resilient and Robust Control Strategy.
Sensors
Ting Wang, Meiting Tu, Hao Lyu, Ye Li, Olivier Orfila, Guojian Zou, Dominique Gruyer
2023 — conf
Multi-Task-Based Spatio-Temporal Generative Inference Network for Predicting Highway Traffic Speed.
ITSC
Guojian Zou, Jing Fan, Honggang Wang, Changxi Ma, Ting Wang, Ye Li
2023 J jnl
When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time.
IEEE Trans. Intell. Transp. Syst.
Guojian Zou, Ziliang Lai, Changxi Ma, Meiting Tu, Jing Fan, Ye Li
2022 J jnl
RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model.
Expert Syst. Appl.
Bo Zhang, Guojian Zou, Dongming Qin, Qin Ni, Hongwei Mao, Maozhen Li
2021 J jnl
FDN-learning: Urban PM
Big Data Res.
Guojian Zou, Bo Zhang, Ruihan Yong, Dongming Qin, Qin Zhao
2019 J jnl
A Novel Combined Prediction Scheme Based on CNN and LSTM for Urban PM
IEEE Access
Dongming Qin, Jian Yu, Guojian Zou, Ruihan Yong, Qin Zhao, Bo Zhang