Mingfeng Fan

Orcid: 0000-0003-4008-5873

Affiliations:
  • National University of Singapore, Singapore
  • Central South University, Changsha, China


According to our database1, Mingfeng Fan authored at least 31 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Toward Generalizable Network-Wide Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., April, 2026

CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control.
CoRR, March, 2026

LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control.
CoRR, March, 2026

CAMO: A Conditional Neural Solver for the Multi-objective Multiple Traveling Salesman Problem.
CoRR, March, 2026

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting.
CoRR, March, 2026

UHTS-DRL: A deep reinforcement learning framework for integrated agile satellite observation and data transmission scheduling.
Inf. Sci., 2026

2025
CogDrive: Cognition-Driven Multimodal Prediction-Planning Fusion for Safe Autonomy.
CoRR, December, 2025

A Unified Deep Reinforcement Learning Approach for Close Enough Traveling Salesman Problem.
CoRR, October, 2025

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning.
CoRR, June, 2025

Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation.
CoRR, June, 2025

Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control.
CoRR, March, 2025

DL-DRL: A Double-Level Deep Reinforcement Learning Approach for Large-Scale Task Scheduling of Multi-UAV.
IEEE Trans Autom. Sci. Eng., 2025

Heterogeneous Attention-Based Graph Convolutional Network for Solving Asymmetric Pickup and Delivery Problem.
IEEE Trans Autom. Sci. Eng., 2025

Multi-UAV reconnaissance mission planning via deep reinforcement learning with simulated annealing.
Swarm Evol. Comput., 2025

V2XFormer: A Multi-Stage Transformer for Multi-Agent Reinforcement Learning in V2X-Enabled Traffic Signal Control.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024
Joint Task Offloading and Resource Allocation in Multi-UAV Multi-Server Systems: An Attention-Based Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., August, 2024

HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Attention-based Priority Learning for Limited Time Multi-Agent Path Finding.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Collaborative Deep Reinforcement Learning for Solving Multi-Objective Vehicle Routing Problems.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Task Scheduling Under a Novel Framework for Data Relay Satellite Network via Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., May, 2023

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

Reinforcement Learning Based Truck-and-Drone Coordinated Delivery.
IEEE Trans. Artif. Intell., 2023

2022
An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy.
IEEE Trans. Intell. Transp. Syst., 2022

An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem.
IEEE CAA J. Autom. Sinica, 2022

DL-DRL: A double-layer deep reinforcement learning approach for large-scale task scheduling of multi-UAV.
CoRR, 2022

2021
An Iterative Two-Phase Optimization Method Based on Divide and Conquer Framework for Integrated Scheduling of Multiple UAVs.
IEEE Trans. Intell. Transp. Syst., 2021

Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy.
Swarm Evol. Comput., 2021

An Adaptive Reference Vector Adjustment Strategy and Improved Angle-Penalized Value Method for RVEA.
Complex., 2021

2020
An Autonomous Path Planning Method for Unmanned Aerial Vehicle based on A Tangent Intersection and Target Guidance Strategy.
CoRR, 2020

Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020


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