20 citations · 20 across the 4 of their papers we have counts for
6 papers
Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting
Tengfei Lyu, Weijia Zhang, Hao Liu
Subseasonal-to-seasonal (S2S) forecasting, which predicts climate conditions from several weeks to months in advance, represents a critical frontier for agricultural planning, ener…
LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning
Tengfei Lyu, Siyuan Feng, Hao Liu +1
Ride-hailing platforms face significant challenges in optimizing order dispatching and driver repositioning operations in dynamic urban environments. Traditional approaches based o…
NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer
Tengfei Lyu, Jindong Han, Hao Liu
Nuclear radiation, which refers to the energy emitted from atomic nuclei during decay, poses significant risks to human health and environmental safety. Recently, advancements in m…
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
Tengfei Lyu, Weijia Zhang, Jinliang Deng +1
Spatio-temporal forecasting is a critical component of various smart city applications, such as transportation optimization, energy management, and socio-economic analysis. Recentl…
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijia Zhang, Jindong Han, Zhao Xu +4
The integration of machine learning techniques has become a cornerstone in the development of intelligent urban services, significantly contributing to the enhancement of urban eff…
GraphPAS: Parallel Architecture Search for Graph Neural Networks
Jiamin Chen, Jianliang Gao, Yibo Chen +3
Graph neural architecture search has received a lot of attention as Graph Neural Networks (GNNs) has been successfully applied on the non-Euclidean data recently. However, explorin…