Name
Affiliation
Papers
FENGHUI REN
School of Information Technology and Software Engineering, University of Wollongong, Australia
48
Collaborators
Citations 
PageRank 
34
153
20.05
Referers 
Referees 
References 
351
650
513
Search Limit
100650
Title
Citations
PageRank
Year
Learning customer behavior for effective load forecasting00.342019
Helping an Agent Reach a Different Goal by Action Transfer in Reinforcement Learning.00.342019
Feasible Negotiation Procedures For Multiple Interdependent Negotiations00.342018
Enable Automated Emergency Responses Through An Agent-Based Computer-Aided Dispatch System00.342018
Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks.10.352018
Determining The Applicability Of Advice For Efficient Multi-Agent Reinforcement Learning00.342018
Deeprsd: A Deep Regression Method For Sequential Data00.342018
A hybrid-learning based broker model for strategic power trading in smart grid markets.20.452017
A Concurrent Multiple Negotiation Protocol Based on Colored Petri Nets.30.422017
A Concurrent Interdependent Service Level Agreement Negotiation Protocol in Dynamic Service-Oriented Computing Environments.00.342017
A Dynamic Resource Allocation Approach for Concurrent Emergency Events in Metropolitan Regions.00.342017
Opponent Modeling with Information Adaptation (OMIA) in Automated Negotiations.00.342017
An Adaptive Procedure for Settling Multiple Issues in Bilateral Negotiation with Time Constraints.20.382016
Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events Through a Decentralised MAS.00.342016
Load Forecasting in a Smart Grid through Customer Behaviour Learning Using L1-Regularized Continuous Conditional Random Fields.00.342016
Adaptive Learning For Efficient Emergence Of Social Norms In Networked Multiagent Systems00.342016
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).00.342016
A Decentralised Multi-Agent System for Emergency Resource Allocation in Metropolitan Regions: (Demonstration).00.342016
Bayesian-based preference prediction in bilateral multi-issue negotiation between intelligent agents100.522015
Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas.150.702015
A Broker-Based Optimal Matching Approach Of Buyers And Sellers For Multi-Attribute Exchanges In Open Markets00.342015
GongBroker: A Broker Model for Power Trading in Smart Grid Markets00.342015
Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems.90.562015
A Multi-Agent Approach for Decentralized Voltage Regulation by Considering Distributed Generators.00.342015
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems.50.452015
A single issue negotiation model for agents bargaining in dynamic electronic markets100.652014
Coordinated learning by exploiting sparse interaction in multiagent systems.30.412014
Collective learning for the emergence of social norms in networked multiagent systems.70.442014
A multi-agent approach for decentralized voltage regulation in power distribution networks within distributed generators00.342013
Emergence of social norms through collective learning in networked agent societies240.992013
Emotional Multiagent Reinforcement Learning in Social Dilemmas.40.412013
Exploiting independent relationships in multiagent systems for coordinated learning00.342012
Expectation of trading agent behaviour in negotiation of electronic marketplace00.342012
Bilateral single-issue negotiation model considering nonlinear utility and time constraint90.542012
A regression-based approach for improving the association rule mining through predicting the number of rules on general datasets00.342012
Coordinated learning for loosely coupled agents with sparse interactions20.372011
Agent-Based demand management in a power distribution network by considering distributed generations00.342011
A parallel, multi-issue negotiation model in dynamic e-markets30.382011
Optimization of multiple related negotiation through multi-negotiation network10.342010
Using colored petri nets to predict future states in agent-based scheduling and planning systems20.382010
A Market-Based Multi-Issue Negotiation Model Considering Multiple Preferences in Dynamic E-Marketplaces00.342009
Adaptive conceding strategies for automated trading agents in dynamic, open markets301.222009
Partners selection in multi-agent systems by using linear and non-linear approaches00.342008
Optimal Multi-issue Negotiation in Open and Dynamic Environments00.342008
Market-driven agents with uncertain and dynamic outside options50.462007
Prediction of Partners' Behaviors in Agent Negotiation under Open and Dynamic Environments30.422007
Predicting partners' behaviors in negotiation by using regression analysis30.372007
A Fuzzy-Based Approach for Partner Selection in Multi-Agent Systems00.342007