Hai Yang
- Ridesourcing systems: A framework and review
2019/11/01 by Hai Wang, Hai Yang · 7 citations
- Automating Traffic Model Enhancement with AI Research Agent
2024/09/25 by Xusen Guo, Guo, Xusen, Mingxing Peng +8 · 6 citations
Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Simulation Techniques and Applications #Traffic Prediction and Management Techniques
- Fifty years of the bottleneck model: A bibliometric review and future research directions
2020/09/01 by Zhi-Chun Li, Hai-Jun Huang, Hai Yang · 2 citations
- Models and algorithms for road network design: a review and some new developments
1998/07/01 by Hai Yang, Michael G. H. Bell · 1 citation
- ESTformer: Transformer utilising spatiotemporal dependencies for electroencephalogram super-resolution
2023/12/03 by Dongdong Li, Zhongliang Zeng, Li, Dongdong +5 · 3 citations
Medicine · Neuroscience · #ECG Monitoring and Analysis #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Modeling the evolution of incident impact in urban road networks by leveraging the spatiotemporal propagation of shockwaves
2024/07/01 by Zhengli Wang, Zhenjie Zheng, Xiqun Chen +2 · 1 citation
- Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
2024/04/24 by Chengyuan Zhang, Kehua Chen, Zhang, Chengyuan +7 · 2 citations
Engineering · Social Sciences · #Applications (stat.AP) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques
- FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling
2025/01/31 by Hongbin Huang, Huang, Hong, Hai Yang +7 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms