Hongliang Guo

Orcid: 0000-0002-9836-3090

According to our database1, Hongliang Guo authored at least 22 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
SMC-Searcher: Signal Mediated Coordination for Decentralized Multi-Robot Adversarial Moving Target Search.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2025

Multi-Robot Reliable Navigation in Uncertain Topological Environments With Graph Attention Networks.
IEEE Robotics Autom. Lett., May, 2025

R-FAC: Resilient Value Function Factorization for Multirobot Efficient Search With Individual Failure Probabilities.
IEEE Trans. Robotics, 2025

2024
Graph-Based SLAM-Aware Exploration With Prior Topo-Metric Information.
IEEE Robotics Autom. Lett., September, 2024

SEGAC: Sample Efficient Generalized Actor Critic for the Stochastic On-Time Arrival Problem.
IEEE Trans. Intell. Transp. Syst., August, 2024

DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

2023
GE-DDRL: Graph Embedding and Deep Distributional Reinforcement Learning for Reliable Shortest Path: A Universal and Scale Free Solution.
IEEE Trans. Intell. Transp. Syst., November, 2023

EM-Patroller: Entropy Maximized Multi-Robot Patrolling With Steady State Distribution Approximation.
IEEE Robotics Autom. Lett., September, 2023

Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search.
IEEE Trans. Robotics, August, 2023

Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations.
IEEE Trans. Veh. Technol., May, 2023

E-LOAM: LiDAR Odometry and Mapping With Expanded Local Structural Information.
IEEE Trans. Intell. Veh., February, 2023

DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems.
IEEE Intell. Transp. Syst. Mag., 2023

2022
Travel time data of Chengdu road network.
Dataset, May, 2022

Dual Dynamic Programming for the Mean Standard Deviation Canadian Traveller Problem.
IEEE Trans. Veh. Technol., 2022

CTD: Cascaded Temporal Difference Learning for the Mean-Standard Deviation Shortest Path Problem.
IEEE Trans. Intell. Transp. Syst., 2022

Navigation With Time Limits in Transportation Networks: A Fourth Moment Approach.
IEEE Trans. Intell. Transp. Syst., 2022

GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks.
IEEE Trans. Intell. Transp. Syst., 2022

PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Reliable Search.
IEEE Robotics Autom. Lett., 2022

2021
Transportation Networks used in experiments for DRL-Router (Sioux Falls, Anaheim, Winnipeg, Barcelona).
Dataset, May, 2021

GP4: Gaussian Process Proactive Path Planning for the Stochastic on Time Arrival Problem.
IEEE Trans. Veh. Technol., 2021

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation.
IEEE Robotics Autom. Lett., 2021

2018
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time.
ACM Trans. Intell. Syst. Technol., 2018


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