Hongliang Guo

Orcid: 0000-0002-9836-3090

Affiliations:
  • Agency for Science, Technology and Research, Singapore


According to our database1, Hongliang Guo authored at least 54 papers between 2009 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

CL-CoTNav: Closed-Loop Hierarchical Chain-of-Thought for Zero-Shot Object-Goal Navigation with Vision-Language Models.
CoRR, April, 2025

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

PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search.
Swarm Evol. Comput., 2025

Realm: Real-Time Line-of-Sight Maintenance in Multi-Robot Navigation with Unknown Obstacles.
Proceedings of the IEEE International Conference on Robotics and Automation, 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

Collaborative Graph Exploration with Reduced Pose-SLAM Uncertainty via Submodular Optimization.
CoRR, 2024

Transformer-based Multi-Agent Reinforcement Learning for Generalization of Heterogeneous Multi-Robot Cooperation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Multi-Robot Active Graph Exploration with Reduced Pose-SLAM Uncertainty via Submodular Optimization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

SMART-Rain: A Degradation Evaluation Dataset for Autonomous Driving in Rain.
IROS, 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

AUNet: Adaptive UpdateNet for Dynamic Pedestrian Tracking with Short-Term Occlusion.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Group Multi-Object Tracking for Dynamic Risk Map and Safe Path Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Imitation Learning for Autonomous Navigation in Dynamic Pedestrian Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Autonomous Navigation in Dynamic Environments with Multi-Modal Perception Uncertainties.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Safe Path Planning with Multi-Model Risk Level Sets.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context.
CoRR, 2019

Safe Path Planning with Gaussian Process Regulated Risk Map.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

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

2017
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion.
IEEE Trans. Intell. Transp. Syst., 2017

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Multiagent-based cooperative vehicle routing using node pressure and auctions.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method.
IEEE Trans. Veh. Technol., 2016

Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach.
IEEE Trans. Intell. Transp. Syst., 2016

A Distributed and Scalable Machine Learning Approach for Big Data.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014
Routing multiple cars in large scale networks: Minimizing road network breakdown probability.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A data-driven method for stochastic shortest path problem.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
A morphogenetic approach to flexible and robust shape formation for swarm robotic systems.
Robotics Auton. Syst., 2013

2012
A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage.
ACM Trans. Auton. Adapt. Syst., 2012

2011
Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network.
Biosyst., 2009

Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System.
Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009

Self-adaptive multi-robot construction using gene regulatory networks.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009


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