Zhuang, Dingyi

1. Inductive Graph Neural Networks for Spatiotemporal Kriging
   2020/06/13 by Yuankai Wu, Wu, Yuankai, Dingyi Zhuang +5 · 13 citations
   Computer Science · #Data Visualization and Analytics #Time Series Analysis and Forecasting #Bayesian Modeling and Causal Inference
2. Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning
   2024/10/21 by Tang, Yihong, Qu, Ao, Wang, Zhaokai +7 · 12 citations
   #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
3. Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging
   2021/09/24 by Yuankai Wu, Wu, Yuankai, Dingyi Zhuang +7 · 4 citations
   Computer Science · #Data Management and Algorithms #Data Visualization and Analytics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
4. Large Language Models for Travel Behavior Prediction
   2023/11/30 by Mo, Baichuan, Xu, Hanyong, Zhuang, Dingyi +3 · 5 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
   2021/05/21 by Xudong Wang, Yuankai Wu, Wang, Xudong +5 · 3 citations
   Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #Traffic Prediction and Management Techniques #electronic engineering #information engineering
6. Fairness-enhancing deep learning for ride-hailing demand prediction
   2023/03/10 by Yunhan Zheng, Zheng, Yunhan, Qingyi Wang +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
7. Time Series Supplier Allocation via Deep Black-Litterman Model
   2024/01/30 by Luo, Jiayuan, Zhang, Wentao, Fang, Yuchen +4 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
   2023/12/29 by Xiaotong Guo, Guo, Xiaotong, Hanyong Xu +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
9. ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks
   2023/05/10 by Wang, Zepu, Zhuang, Dingyi, Li, Yankai +4 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. 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
11. AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library
    2025/10/21 by Kong, Minwei, Qu, Ao, Guo, Xiaotong +12 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences