Jun Li

17 papers B 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing trajectory imputation distributional consistency via spatio-temporal conditional diffusion approach.
Adv. Eng. Informatics
Kunxiang Deng, Keyu Hao, Kezhou Chen, Jun Li
2026 J jnl
Traffic flow prediction model based on multi-period spatial-temporal stepwise search.
Expert Syst. Appl.
Dongran Zhang, Kunxiang Deng, Longjing Ran, Kemal Polat, Fayadh Alenezi, Jun Li
2025 J jnl
Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information.
Adv. Eng. Informatics
Haoxuan Kuang, Kunxiang Deng, Qiuxuan Wang, Wei Ye, Haohao Qu, Jun Li
2025 J jnl
GLformer: Global-local spatio-temporal graph fusion transformer network for traffic flow prediction.
Appl. Soft Comput.
Kunxiang Deng, Xinyu Zhang, Haoxuan Kuang, Kemal Polat, Fayadh Alenezi, Jun Li
2025 J jnl
Multimodal end-to-end autonomous driving via bilateral modality interaction.
Expert Syst. Appl.
Ze Yu, Jun Li, Zesong Chen, Yuzhen Wei, Xiaofei Zhang, Xiaojun Tan
2025 B conf
ParkPredictNet: A Framework Integrating GCN and Transformer for Parking Recommendation.
ICPADS
Jiangnan Yan, Haoxuan Kuang, Kunxiang Deng, Jun Li
2025 J jnl
Understanding Electric Bike Accidents Through Safe System Approach in Guangzhou, China: A Mixed-Methods Study.
Syst.
Bicen Jia, Jun Li, Qi Wang
2024 J jnl
A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction.
IEEE Trans. Intell. Transp. Syst.
Haohao Qu, Haoxuan Kuang, Qiuxuan Wang, Jun Li, Linlin You
2024 J jnl
Attention-based Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences.
CoRR
Haoxuan Kuang, Kunxiang Deng, Linlin You, Jun Li
2024 J jnl
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network.
Adv. Eng. Informatics
Dongran Zhang, Jiangnan Yan, Kemal Polat, Adi Alhudhaif, Jun Li
2024 J jnl
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network.
CoRR
Dongran Zhang, Jiangnan Yan, Kemal Polat, Adi Alhudhaif, Jun Li
2023 J jnl
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction.
CoRR
Haohao Qu, Haoxuan Kuang, Jun Li, Linlin You
2023 J jnl
An Integrated Approach for the Near Real-Time Parking Occupancy Prediction.
IEEE Trans. Intell. Transp. Syst.
Jun Li, Haohao Qu, Linlin You
2023 B conf
PI-Parking: A Physics Informed Neural Network Approach for Parking Availability Prediction.
ICPADS
Yijun Dong, Haoxuan Kuang, Jun Li
2023 B conf
Traffic Spatial-Temporal Prediction Based on Neural Architecture Search.
SSTD
Dongran Zhang, Gang Luo, Jun Li
2023 J jnl
Trajectory Generation of Ultra-Low-Frequency Travel Routes in Large-Scale Complex Road Networks.
Syst.
Jun Li, Wenting Zhao
2022 — conf
Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn.
KSEM (1)
Haohao Qu, Sheng Liu, Zihan Guo, Linlin You, Jun Li