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Fenghui Ren
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2020 – today
- 2024
- [j22]Dingbang Liu
, Fenghui Ren
Scaling Up Multi-Agent Reinforcement Learning: An Extensive Survey on Scalability Issues. IEEE Access 12: 94610-94631 (2024) - [j21]Xiaoxue Liu
Predicting Voting Outcomes for Multi-Alternative Elections in Social Networks. IEEE Access 12: 98960-98970 (2024) - [j20]Kai Li, Lei Niu, Fenghui Ren, Xinguo Yu:
An offer-generating strategy for multiple negotiations with mixed types of issues and issue interdependency. Eng. Appl. Artif. Intell. 136: 108891 (2024) - [j19]Lei Niu, Qihang Cai, Kai Li, Fenghui Ren, Xinguo Yu
A reputation-aided negotiation mechanism for multi-agent society based on blockchain. Eng. Appl. Artif. Intell. 138: 109390 (2024) - [j18]Brighter Agyemang
Proactive Agent Behaviour in Dynamic Distributed Constraint Optimisation Problems. Inf. 15(5): 255 (2024) - [j17]Xiaoxue Liu
A pool-based simulated annealing approach for preference-aware influence maximisation in social networks. Knowl. Based Syst. 300: 112229 (2024) - [c55]Minggang Wang, Shohei Kato, Wen Gu, Jun Yan, Fenghui Ren:
Speaker-Independent Depression Detection based on Adversarial Training Method. EUSIPCO 2024: 1521-1525 - [c54]Ruoxi Sun, Jun Yan, Fenghui Ren, Cong Cao:
Improving the Accuracy of Sequential Recommendation Using a Time-aware Architecture. HICSS 2024: 1120-1129 - [i4]Yikun Yang, Fenghui Ren, Minjie Zhang:
A Decentralized Multiagent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing. CoRR abs/2401.02219 (2024) - [i3]Yikun Yang, Fenghui Ren, Minjie Zhang:
A BDI Agent-Based Task Scheduling Framework for Cloud Computing. CoRR abs/2401.02223 (2024) - 2023
- [j16]Brighter Agyemang
Distributed Multi-Agent Hierarchy Construction for Dynamic DCOPs in Mobile Sensor Teams. Hum. Centric Intell. Syst. 3(4): 473-486 (2023) - [j15]Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito, Shinobu Hasegawa:
Influence Propagation Based Influencer Detection in Online Forum. IEICE Trans. Inf. Syst. 106(4): 433-442 (2023) - [c53]Yikun Yang, Fenghui Ren, Minjie Zhang:
A Decentralized Multiagent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing. AAMAS 2023: 2736-2738 - [c52]Fenghui Ren
A Multi-agent Approach for Decentralized Voltage Regulation in Micro Grids by Considering Distributed Generators. EMAS 2023: 151-166 - [c51]Qin Liang, Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito, Minjie Zhang:
Partner Selection Strategy in Open, Dynamic and Sociable Environments. ICAART (2) 2023: 231-240 - [c50]Qin Liang, Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito, Minjie Zhang:
Ranking-Based Partner Selection Strategy in Open, Dynamic and Sociable Environments. ICAART (Revised Selected Paper) 2023: 267-285 - [c49]Xiaoxue Liu, Shohei Kato, Fenghui Ren, Guoxin Su, Minjie Zhang, Wen Gu:
Information Gerrymandering in Elections. PKAW 2023: 83-97 - 2022
- [c48]Xiaoxue Liu, Fenghui Ren, Guoxin Su, Minjie Zhang:
Strategies Improve Social Welfare: An Empirical Study of Strategic Voting in Social Networks. AI 2022: 203-215 - [c47]Yikun Yang, Fenghui Ren, Minjie Zhang:
A Hybrid Multiagent-Based Rescheduling Mechanism for Open and Stochastic Environments Concerning the Execution Stage. AI 2022: 556-569 - [c46]Ruoxi Sun, Jun Yan
A Knowledge Graph-based Interactive Recommender System Using Reinforcement Learning. CBD 2022: 73-78 - [c45]Kevin Malysiak, Fenghui Ren, Hao Hu
A Mixed Integer Linear Programming Model for Train Service Improvement. CSCWD 2022: 426-431 - [c44]Pankaj Mishra, Ahmed Moustafa, Fenghui Ren:
A Mechanism for Multi-unit Multi-item Commodity Allocation in Economic Networks. ICAART (1) 2022: 265-273 - [i2]Brighter Agyemang, Fenghui Ren, Jun Yan
Distributed Interaction Graph Construction for Dynamic DCOPs in Cooperative Multi-agent Systems. CoRR abs/2212.03461 (2022) - 2021
- [c43]Wen Gu, Shohei Kato, Fenghui Ren, Guoxin Su, Takayuki Ito:
Influential Online Forum User Detection Based on User Contribution and Relevance. ICA 2021: 13-18 - [c42]Yuchen Wang, Lei Niu, Fenghui Ren:
A Multi-Agent-Based Approach for the Study of Student Behavior Dynamics in Peer Learning Environments. TALE 2021: 689-694 - [i1]Qin Liang, Minjie Zhang, Fenghui Ren, Takayuki Ito:
A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment. CoRR abs/2104.08555 (2021)
2010 – 2019
- 2019
- [j14]Xishun Wang
Learning Customer Behaviors for Effective Load Forecasting. IEEE Trans. Knowl. Data Eng. 31(5): 938-951 (2019) - [c41]Weicheng Yin, Fenghui Ren
Multi-agent-based System to Model and Simulate the Emergency Response in Metropolis. ACSW 2019: 9:1-9:6 - [c40]Yuchen Wang, Fenghui Ren
Helping an Agent Reach a Different Goal by Action Transfer in Reinforcement Learning. Australasian Conference on Artificial Intelligence 2019: 15-27 - 2018
- [c39]Xishun Wang, Minjie Zhang, Fenghui Ren:
Sparse Gaussian Conditional Random Fields on Top of Recurrent Neural Networks. AAAI 2018: 4219-4226 - [c38]Lei Niu, Fenghui Ren, Minjie Zhang:
Feasible Negotiation Procedures for Multiple Interdependent Negotiations. AAMAS 2018: 641-649 - [c37]Jihang Zhang, Minjie Zhang, Fenghui Ren, Weicheng Yin, Aden Prior, Claudio Villella, Chun-Yu Chan:
Enable Automated Emergency Responses Through An Agent-Based Computer-Aided Dispatch System. AAMAS 2018: 1844-1846 - [c36]Yuchen Wang, Fenghui Ren
A Cyclical Social Learning Strategy for Robust Convention Emergence. ICA 2018: 120-125 - [c35]Xishun Wang, Minjie Zhang
DeepRSD: A Deep Regression Method for Sequential Data. PRICAI (1) 2018: 113-125 - [c34]Yuchen Wang, Fenghui Ren
Determining the Applicability of Advice for Efficient Multi-Agent Reinforcement Learning. PRICAI 2018: 343-351 - 2017
- [j13]Xishun Wang, Minjie Zhang
A hybrid-learning based broker model for strategic power trading in smart grid markets. Knowl. Based Syst. 119: 142-151 (2017) - [j12]Lei Niu
A Concurrent Multiple Negotiation Protocol Based on Colored Petri Nets. IEEE Trans. Cybern. 47(11): 3692-3705 (2017) - [c33]Yuchen Wang, Fenghui Ren
Opponent Modeling with Information Adaptation (OMIA) in Automated Negotiations. AAMAS Workshops (Selected Papers) 2017: 21-35 - [c32]Jihang Zhang, Minjie Zhang, Fenghui Ren:
A Dynamic Resource Allocation Approach for Concurrent Emergency Events in Metropolitan Regions. AAMAS 2017: 1775-1777 - [c31]Lei Niu, Fenghui Ren
A Concurrent Interdependent Service Level Agreement Negotiation Protocol in Dynamic Service-Oriented Computing Environments. WISE (2) 2017: 132-147 - 2016
- [c30]Xishun Wang, Minjie Zhang, Fenghui Ren:
Load Forecasting in a Smart Grid through Customer Behaviour Learning Using L1-Regularized Continuous Conditional Random Fields. AAMAS 2016: 817-826 - [c29]Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu:
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract). AAMAS 2016: 1307-1308 - [c28]Jihang Zhang, Minjie Zhang, Fenghui Ren, Jiakun Liu:
A Decentralised Multi-Agent System for Emergency Resource Allocation in Metropolitan Regions: (Demonstration). AAMAS 2016: 1482-1484 - [c27]Jihang Zhang, Minjie Zhang
Enable Efficient Resource Deployment in Multiple Concurrent Emergency Events Through a Decentralised MAS. Australasian Conference on Artificial Intelligence 2016: 56-68 - [c26]Fenghui Ren, Minjie Zhang, Lei Niu, Xishun Wang:
A Concurrent Multiple Negotiation Strategy for Service Level Agreement Negotiations in Web-Based Service Environments. ICA 2016: 1-6 - [c25]Jieyu Zhan, Xudong Luo, Fenghui Ren
An Adaptive Procedure for Settling Multiple Issues in Bilateral Negotiation with Time Constraints. KMO 2016: 7 - [c24]Lei Niu, Fenghui Ren
A Concurrent Multiple Negotiation Mechanism Under Consideration of a Dynamic Negotiation Environment. PRICAI 2016: 779-792 - [c23]Xishun Wang, Fenghui Ren
L_1 -Regularized Continuous Conditional Random Fields. PRICAI 2016: 793-804 - [c22]Chao Yu, Hongtao Lv, Sandip Sen, Fenghui Ren
Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems. PRICAI 2016: 805-818 - 2015
- [j11]Jihang Zhang, Fenghui Ren
Bayesian-based preference prediction in bilateral multi-issue negotiation between intelligent agents. Knowl. Based Syst. 84: 108-120 (2015) - [j10]Chao Yu, Minjie Zhang
Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems. IEEE Trans. Cybern. 45(12): 2853-2867 (2015) - [j9]Chao Yu, Minjie Zhang
Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3083-3096 (2015) - [c21]Fenghui Ren
A Multi-Agent Approach for Decentralized Voltage Regulation by Considering Distributed Generators. Australasian Conference on Artificial Intelligence 2015: 484-497 - [c20]Chao Yu, Hongtao Lv, Fenghui Ren
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems. Australasian Conference on Artificial Intelligence 2015: 630-643 - [c19]Dien Tuan Le, Minjie Zhang
A Broker-Based Optimal Matching Approach of Buyers and Sellers for Multi-attribute Exchanges in Open Markets. SMC 2015: 563-568 - [c18]Xishun Wang, Minjie Zhang
GongBroker: A Broker Model for Power Trading in Smart Grid Markets. WI-IAT (2) 2015: 21-24 - [p4]Dien Tuan Le, Minjie Zhang, Fenghui Ren:
A Relaxation Strategy with Fuzzy Constraints for Supplier Selection in a Power Market. Smart Modeling and Simulation for Complex Systems 2015: 83-97 - [e1]Quan Bai
Smart Modeling and Simulation for Complex Systems - Practice and Theory. Studies in Computational Intelligence 564, Springer 2015, ISBN 978-4-431-55208-6 [contents] - 2014
- [j8]Chao Yu, Minjie Zhang
Coordinated learning by exploiting sparse interaction in multiagent systems. Concurr. Comput. Pract. Exp. 26(1): 51-70 (2014) - [j7]Fenghui Ren
Bilateral single-issue negotiation model considering nonlinear utility and time constraint. Decis. Support Syst. 60: 29-38 (2014) - [j6]Fenghui Ren
A single issue negotiation model for agents bargaining in dynamic electronic markets. Decis. Support Syst. 60: 55-67 (2014) - [j5]Chao Yu, Minjie Zhang
Collective Learning for the Emergence of Social Norms in Networked Multiagent Systems. IEEE Trans. Cybern. 44(12): 2342-2355 (2014) - [c17]Jihang Zhang, Fenghui Ren
Prediction of the Opponent's Preference in Bilateral Multi-issue Negotiation Through Bayesian Learning. ANAC@AAMAS 2014: 3-20 - [c16]Jihang Zhang, Fenghui Ren, Minjie Zhang:
An Innovative Approach for Predicting Both Negotiation Deadline and Utility in Multi-issue Negotiation. PRICAI 2014: 1076-1088 - [p3]Fenghui Ren
A Dynamic, Optimal Approach for Multi-Issue Negotiation Under Time Constraints. Novel Insights in Agent-based Complex Automated Negotiation 2014: 85-108 - 2013
- [c15]Chao Yu, Minjie Zhang, Fenghui Ren, Xudong Luo:
Emergence of social norms through collective learning in networked agent societies. AAMAS 2013: 475-482 - [c14]Fenghui Ren, Minjie Zhang, Danny Sutanto:
A multi-agent approach for decentralized voltage regulation in power distribution networks within distributed generators. AAMAS 2013: 1111-1112 - [c13]Chao Yu, Minjie Zhang
Emotional Multiagent Reinforcement Learning in Social Dilemmas. PRIMA 2013: 372-387 - [p2]Chao Yu, Fenghui Ren
An Adaptive Bilateral Negotiation Model Based on Bayesian Learning. Complex Automated Negotiations 2013: 75-93 - 2012
- [j4]Fenghui Ren
Expectation of trading agent behaviour in negotiation of electronic marketplace. Web Intell. Agent Syst. 10(1): 49-63 (2012) - [c12]Dien Tuan Le, Fenghui Ren
A Regression-Based Approach for Improving the Association Rule Mining through Predicting the Number of Rules on General Datasets. PRICAI 2012: 229-240 - [c11]Chao Yu, Minjie Zhang
Exploiting Independent Relationships in Multiagent Systems for Coordinated Learning. PRICAI 2012: 686-697 - [p1]Fenghui Ren
Bilateral Single-Issue Negotiation Model Considering Nonlinear Utility and Time Constraint. New Trends in Agent-Based Complex Automated Negotiations 2012: 21-37 - 2011
- [c10]Chao Yu, Minjie Zhang
Coordinated Learning for Loosely Coupled Agents with Sparse Interactions. Australasian Conference on Artificial Intelligence 2011: 392-401 - [c9]Fenghui Ren
A Parallel, Multi-issue Negotiation Model in Dynamic E-Markets. Australasian Conference on Artificial Intelligence 2011: 442-451 - [c8]Fenghui Ren, Minjie Zhang, Danny Soetanto:
Agent-Based Demand Management in a Power Distribution Network by Considering Distributed Generations. PRIMA Workshops 2011: 109-124 - 2010
- [j3]Quan Bai
Using colored petri nets to predict future states in agent-based scheduling and planning systems. Multiagent Grid Syst. 6(5-6): 527-542 (2010) - [c7]Fenghui Ren
Optimization of Multiple Related Negotiation through Multi-Negotiation Network. KSEM 2010: 174-185
2000 – 2009
- 2009
- [j2]Fenghui Ren
Adaptive conceding strategies for automated trading agents in dynamic, open markets. Decis. Support Syst. 46(3): 704-716 (2009) - [c6]Fenghui Ren
A Market-Based Multi-Issue Negotiation Model Considering Multiple Preferences in Dynamic E-Marketplaces. PRIMA 2009: 1-16 - 2008
- [j1]Fenghui Ren, Minjie Zhang:
Partners Selection in Multi-Agent Systems by Using Linear and Non-linear Approaches. Trans. Comput. Sci. 1: 37-60 (2008) - [c5]Fenghui Ren
Optimal Multi-issue Negotiation in Open and Dynamic Environments. PRICAI 2008: 321-332 - 2007
- [c4]Fenghui Ren
A Fuzzy-Based Approach for Partner Selection in Multi-Agent Systems. ACIS-ICIS 2007: 457-462 - [c3]Fenghui Ren
Market-driven agents with uncertain and dynamic outside options. AAMAS 2007: 106 - [c2]Fenghui Ren, Minjie Zhang
Prediction of Partners' Behaviors in Agent Negotiation under Open and Dynamic Environments. Web Intelligence/IAT Workshops 2007: 379-382 - [c1]Fenghui Ren, Minjie Zhang:
Predicting Partners' Behaviors in Negotiation by Using Regression Analysis. KSEM 2007: 165-176
Coauthor Index
[j21] [j17] [i4] [i3] [c53] [c51] [c50] [c49] [c48] [c47] [i1] [j14] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [j13] [j12] [c33] [c32] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [c23] [j11] [j10] [j9] [c21] [c19] [c18] [p4] [e1] [j8] [j7] [j6] [j5] [c17] [c16] [p3] [c15] [c14] [c13] [p2] [j4] [c12] [c11] [p1] [c10] [c9] [c8] [j3] [c7] [j2] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-11-08 20:26 CET by the dblp team
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