3 papers
cs.LG2024
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
Zepu Wang, Xiaobo Ma, Huajie Yang +3
Crime forecasting is a critical component of urban analysis and essential for stabilizing society today. Unlike other time series forecasting problems, crime incidents are sparse,…
cs.LG2024
Unlocking the Power of LSTM for Long Term Time Series Forecasting
Yaxuan Kong, Zepu Wang, Yuqi Nie +5
Traditional recurrent neural network architectures, such as long short-term memory neural networks (LSTM), have historically held a prominent role in time series forecasting (TSF)…
cs.LG2024
Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks
Zijian Zhang, Yujie Sun, Zepu Wang +5
Mobility analysis is a crucial element in the research area of transportation systems. Forecasting traffic information offers a viable solution to address the conflict between incr…