2 citations · 3 across the 4 of their papers we have counts for
5 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…
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data Processing
Hao Liu
Deep learning models often require specially designed architectures to process data of different dimensions, such as 1D time series, 2D images, and 3D volumetric data. Existing bid…
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models
Ziai Zhou, Bin Zhou, Hao Liu
Real-time dynamic path planning in complex traffic environments presents challenges, such as varying traffic volumes and signal wait times. Traditional static routing algorithms li…
Knowledge accumulating: The general pattern of learning
Zhuoran Xu, Hao Liu
Artificial Intelligence has been developed for decades with the achievement of great progress. Recently, deep learning shows its ability to solve many real world problems, e.g. ima…