Fenghui Ren

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Lecturer

University of Wollongong

Australia

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Fenghui Ren is a Lecturer at the University of Wollongong in Australia. His research interests include multi-agent hierarchical reinforcement learning, social network dynamics, and influence maximization strategies. Recent articles authored by Dr. Ren address topics such as agent-based modeling, voter behavior prediction, and scalability challenges in multi-agent systems.

Recent Grants

Grant: Close

An Adaptive and Intelligent SLA Negotiation System for Web-Based Service-Oriented Grid Computing

Open Date: 2014-01-01

Close Date: 2017-12-01

Articles (6)

Year:

2025

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2025

Year:

2024

Year:

2024

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2024

Year:

2024

Collaborators (2)

Guoxin Su

Lecturer

University of Wollongong

AUSTRALIA

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Jun Yan

University of Wollongong

AUSTRALIA

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Fenghui Ren

Research Interests

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Recent Grants

Articles (6)

Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents

Diffusion of Ordinal Opinions in Social Networks: An Agent-Based Model and Heuristics for Campaigning

A pool-based simulated annealing approach for preference-aware influence maximisation in social networks

Proactive Agent Behaviour in Dynamic Distributed Constraint Optimisation Problems

Predicting Voting Outcomes for Multi-Alternative Elections in Social Networks

Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues

Collaborators (2)

Guoxin Su

Jun Yan

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