6 citations · 13 across the 6 of their papers we have counts for
6 papers
Logistics in the Sky: A Two-phase Optimization Approach for the Drone Package Pickup and Delivery System
Fangyu Hong, Guohua Wu, Qizhang Luo +3
The application of drones in the last-mile distribution is a research hotspot in recent years. Different from the previous urban distribution mode that depends on trucks, this pape…
Curvature Graph Neural Network
Haifeng Li, Jun Cao, Jiawei Zhu +3
Graph neural networks (GNNs) have achieved great success in many graph-based tasks. Much work is dedicated to empowering GNNs with the adaptive locality ability, which enables meas…
A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems
Yongming He, Guohua Wu, Yingwu Chen +1
There hardly exists a general solver that is efficient for scheduling problems due to their diversity and complexity. In this study, we develop a two-stage framework, in which rein…
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
Haifeng Li, Jun Cao, Jiawei Zhu +2
One of the key problems of GNNs is how to describe the importance of neighbor nodes in the aggregation process for learning node representations. A class of GNNs solves this proble…
Integrating Variable Reduction Strategy with Evolutionary Algorithm for Solving Nonlinear Equations Systems
Aijuan Song, Guohua Wu, Witold Pedrycz
Nonlinear equations systems (NESs) are widely used in real-world problems while they are also difficult to solve due to their characteristics of nonlinearity and multiple roots. Ev…
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy
Huan Liu, Xiamiao Li, Mingfeng Fan +3
Unmanned aerial vehicle (UAV) path planning enables UAVs to avoid obstacles and reach the target efficiently. To generate high-quality paths without obstacle collision for UAVs, th…