Yunhan Zheng

1. Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
   2021/09/25 by Yunhan Zheng, Shenhao Wang, Zheng, Yunhan +3 · 2 citations
   Energy · Social Sciences · #Applications (stat.AP) #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Transportation Planning and Optimization #Urban Transport and Accessibility
2. Fairness-enhancing deep learning for ride-hailing demand prediction
   2023/03/10 by Yunhan Zheng, Qingyi Wang, Zheng, Yunhan +7 · 2 citations
   Engineering · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques #Transportation Planning and Optimization #Transportation and Mobility Innovations
3. Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
   2023/12/29 by Xiaotong Guo, Hanyong Xu, Guo, Xiaotong +7 · 1 citation
   Business, Management and Accounting · Engineering · Social Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sharing Economy and Platforms #Transportation Planning and Optimization #Transportation and Mobility Innovations
4. Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study
   2025/01/20 by Dingyi Zhuang, Hanyong Xu, Zhuang, Dingyi +9 · 1 citation
   Engineering · Environmental Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Impact of Light on Environment and Health #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques
5. GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
   2024/10/12 by Dingyi Zhuang, Zhuang, Dingyi, Chonghe Jiang +7 · 1 citation
   Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural Networks and Applications