125 citations · 228 across the 19 of their papers we have counts for
6 papers · 1 filter
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction
Xiaowei Mao, Haomin Wen, Hengrui Zhang +5
Pick-up and Delivery Route Prediction (PDRP), which aims to estimate the future service route of a worker given his current task pool, has received rising attention in recent years…
Origin-Destination Travel Time Oracle for Map-based Services
Yan Lin, Huaiyu Wan, Jilin Hu +4
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from…
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu, Haomin Wen, Haoyuan Hu +10
Real-world last-mile delivery datasets are crucial for research in logistics, supply chain management, and spatio-temporal data mining. Despite a plethora of algorithms developed t…
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng, Xianyuan Zhan, Zhihao Wu +5
Offline reinforcement learning (RL) offers an appealing approach to real-world tasks by learning policies from pre-collected datasets without interacting with the environment. Howe…
View Adaptive Light Field Deblurring Networks with Depth Perception
Zeqi Shen, Shuo Zhang, Zhuhao Zhang +3
The Light Field (LF) deblurring task is a challenging problem as the blur images are caused by different reasons like the camera shake and the object motion. The single image deblu…
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen, Youfang Lin, Yutong Xia +4
Spatio-temporal graph neural networks (STGNN) have emerged as the dominant model for spatio-temporal graph (STG) forecasting. Despite their success, they fail to model intrinsic un…