research
∙
09/03/2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
Instant delivery services, such as food delivery and package delivery, h...
share
research
∙
07/06/2023
Origin-Destination Travel Time Oracle for Map-based Services
Given an origin (O), a destination (D), and a departure time (T), an Ori...
research
∙
06/19/2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Real-world last-mile delivery datasets are crucial for research in logis...
research
∙
06/07/2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Offline reinforcement learning (RL) offers an appealing approach to real...
research
∙
03/13/2023
View Adaptive Light Field Deblurring Networks with Depth Perception
The Light Field (LF) deblurring task is a challenging problem as the blu...
research
∙
03/02/2023
GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning
Previous deep multi-agent reinforcement learning (MARL) algorithms have ...
research
∙
01/31/2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Spatio-temporal graph neural networks (STGNN) have emerged as the domina...
research
∙
07/29/2022
Contrastive Pre-training of Spatial-Temporal Trajectory Embeddings
Pre-training trajectory embeddings is a fundamental and critical procedu...
research
∙
05/26/2022
Light Field Raindrop Removal via 4D Re-sampling
The Light Field Raindrop Removal (LFRR) aims to restore the background a...
research
∙
09/04/2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Sleep stage classification is essential for sleep assessment and disease...
research
∙
08/07/2021
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
The research on human emotion under multimedia stimulation based on phys...
research
∙
08/26/2020
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters
Light field cameras have been proved to be powerful tools for 3D reconst...
research
∙
03/14/2019
