Trust Management in Multiagent E-Commerce

Dongxia Wang, Tim Muller, Jie Zhang and Yang Liu, Is it Harmful when Advisors only Pretend to be Honest?, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016 (26% of acceptance, 549/2132)

Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016 (26% of acceptance, 549/2132)

Dongxia Wang, Tim Muller, Athirai A. Irissappane, Jie Zhang and Yang Liu, Using Information Theory to Improve the Robustness of Trust Systems, 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015 (24.9% of acceptance, 167/670)

Athirai A. Irissappane and Jie Zhang, A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments, Journal of Artificial Intelligence Research, Volume 52, pp. 477-505, 2015 (5-yr Impact Factor: 1.685, conference version: A Framework to Choose Trust Models for Different E-Marketplace Environments, 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013 28% of acceptance, 413/1473)

Tim Muller, Yang Liu and Jie Zhang, The Fallacy of Endogenous Discounting of Trust Recommendations, 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015 (24.9% of acceptance, 167/670)

Dongxia Wang, Tim Muller, Jie Zhang and Yang Liu, Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory, 25th International Joint Conference on Artificial Intelligence (IJCAI), 2015 (28.8% of acceptance, 575/1996)

Athirai A. Irissappane and Jie Zhang, Filtering Unfair Ratings from Dishonest Advisors in Multi-Criteria E-Markets: A Biclustering-Based Approach, Autonomous Agents and Multi-Agent Systems (JAAMAS), accepted, 2015 (short conference version, A Biclustering-Based Approach to Filter Dishonest Advisors in Multi-Criteria E-Marketplaces, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014)

Peng Zhou, Xiaojing Gu, Jie Zhang and Minrui Fei, A Priori Trust Inference with Context-Aware Stereotypical Deep Learning, Knowledge-Based Systems, 88(C), pp. 97-106, 2015 (Impact Factor: 2.947)

Hui Fang, Jie Zhang and Nadia Thalmann, Subjectivity Grouping: Learning from Users' Rating Behavior, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (23.8% of acceptance, 169/709)

Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, A POMDP Based Approach to Optimally Select Sellers in Electronic Marketplace, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (23.8% of acceptance, 169/709)

Siyuan Liu, Jie Zhang, Chunyan Miao, Yin-Leng Theng and Alex C. Kot, An Integrated Clustering-Based Approach to Filtering Unfair Multi-Nominal Testimonies, Computational Intelligence, 30(2), pp. 316-341, 2014 (short conference version, iCLUB: An Integrated Clustering-Based Approach to Improve the Robustness of Reputation Systems, 10th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2011)

Siwei Jiang, Jie Zhang and Yew-Soon Ong, An Evolutionary Model for Constructing Robust Trust Networks, 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013 (22.9% of acceptance, 140/612. Nomination of Best Student Paper Award)

Hui Fang, Jie Zhang and Nadia Thalmann, A Trust Model Stemmed from the Diffusion Theory for Opinion Evaluation, 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013 (22.9% of acceptance, 140/612)

Hui Fang, Yang Bao and Jie Zhang, Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity, 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013 (oral presentation, 13.2% of acceptance, 195/1473)

Murat Sensoy, Jie Zhang, Pinar Yolum and Robin Cohen, POYRAZ: Context-Aware Service Selection Under Deception, Computational Intelligence, 25(4), pp. 335-366, 2009

Jie Zhang and Robin Cohen, Evaluating the Trustworthiness of Advice about Selling Agents in E-Marketplaces: A Personalized Approach, Electronic Commerce Research and Applications (ECRA), 7(3), pp. 330-340, 2008 (Impact Factor: 1.946, one of 6/112 papers recommended from International Conference on Electronic Commerce ICEC'06: Trusting Advice from Other Buyers in E-Marketplaces: The Problem of Unfair Ratings)

 

 
(Trust-Aware) Recommender System; User Modeling

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon and Chi Xu, MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation, 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017 (26% of acceptance, 660/2540)

Zhu Sun, Jie Yang, Jie Zhang and Alessandro Bozzon, Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation, 31st AAAI Conference on Artificial Intelligence (AAAI), 2017 (24.6% of acceptance, 638/2590)

Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon and David Tax, Interactive Attention-Gated Recurrent Networks for Recommendation, 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017 (21% of acceptance, 171/820)

Guibing Guo, Jie Zhang, Feida Zhu and Xingwei Wang, Factored Similarity Models with Social Trust for Top-N Item Recommendation, Knowledge-Based Systems, accepted, 2017 (Impact Factor: 3.325)

Jie Yang, Zhu Sun, Alessandro Bozzon and Jie Zhang, Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization, 10th ACM Conference on Recommender Systems (RecSys), 2016 (18.2% of acceptance)

Guibing Guo, Jie Zhang and Neil Yorke-Smith, A Novel Recommendation Model Regularized with User Trust and Item Ratings, IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted, 2016 (Impact Factor: 2.067, conference version: TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015 (26.67% of acceptance, 531/1991))

Guibing Guo, Jie Zhang and Neil Yorke-Smith, A Novel Evidence-based Bayesian Similarity Measure for Recommender Systems, ACM Transactions on the Web, in press, 2016 (Impact Factor: 1.595, conference version: A Novel Bayesian Similarity Measure for Recommender Systems, 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013 (28% of acceptance, 413/1473))

Hui Fang, Guibing Guo and Jie Zhang, Multi-Faceted Trust and Distrust Prediction for Recommender Systems, Decision Support Systems, 71, pp. 37-47, 2015 (Impact Factor: 2.036)

Guibing Guo, Jie Zhang and Neil Yorke-Smith, Leveraging Multiviews of Trust and Similarity to Enhance Clustering-based Recommender Systems, Knowledge-Based Systems, Volume 74, pp. 14-27, 2015 (Impact Factor: 4.104)

Yang Bao, Hui Fang and Jie Zhang, TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation, Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014 (28% of acceptance, 398/1406)

Hui Fang, Yang Bao and Jie Zhang, Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation, Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014 (28% of acceptance, 398/1406)

Zhu Sun, Guibing Guo and Jie Zhang, Exploiting Implicit Item Relationships for Recommender Systems, 22nd International Conference on User Modeling, Adaptation and Personalization (UMAP), 2015 (28% of acceptance)

Guibing Guo, Jie Zhang, Daniel Thalmann and Neil Yorke-Smith, Leveraging Prior Ratings for Recommender Systems in E-Commerce, Electronic Commerce Research and Applications (ECRA), 13(6), pp. 440-455, 2014 (Impact Factor: 2.139, conference version: Prior Ratings: A New Information Source for Recommender Systems in E-Commerce, ACM Recommender System conference (RecSys), 2013)

Guibing Guo, Jie Zhang and Daniel Thalmann, Merging Trust in Collaborative Filtering to Alleviate Data Sparsity and Cold Start, Knowledge-Based Systems, 57, pp. 57-68, 2014 (Impact Factor: 4.104, conference version: A Simple but Effective Method to Incorporate Trusted Neighbors in Recommender Systems, 20th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2012 (21.7% of acceptance))

Aaditeshwar Seth, Jie Zhang and Robin Cohen, A Personalized Credibility Model for Recommending Messages in Social Participatory Media Environments, World Wide Web, 18(1), pp. 111-137, 2015 (Impact Factor: 1.623, conference version: Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media, International Conference on User Modeling, Adaptation and Personalization (UMAP), 2010 (20% of acceptance))

Jie Zhang, Yuan Wang and Julita Vassileva, SocConnect: A Personalized Social Network Aggregator and Recommender, Information Processing & Management (IPM), 49(3), pp. 721-737, 2013 (5-Year Impact Factor: 1.443)

John Champaign, Jie Zhang and Robin Cohen, Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects, International Conference on User Modeling, Adaptation and Personalization (UMAP), 2011 (20% of acceptance)

Aaditeshwar Seth and Jie Zhang, A Social Network Based Approach to Personalized Recommendation of Participatory Media Content, International AAAI Conference on Weblogs and Social Media (ICWSM), 2008 (25% of acceptance, 20/80)

 

 
Mechanism Design, Incentive and Trust

Zehong Hu and Jie Zhang, Optimal Posted-Price Mechanism in Microtask Crowdsourcing, 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017 (26% of acceptance, 660/2540)

Wen Song, Donghun Kang, Jie Zhang and Hui Xi, A Multi-Unit Combinatorial Auction based Approach for Decentralized Multi-Project Scheduling, Autonomous Agents and Multi-Agent Systems (JAAMAS), 2017 (conference version: Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016 (24.9% of acceptance, 137/550))

Zehong Hu, Meng Sha, Moath Jarrah, Jie Zhang and Hui Xi, Efficient Computation of Emergent Equilibrium in Agent-Based Simulation, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016 (26% of acceptance, 549/2132)

Yuan Liu, Jie Zhang, Bo An and Sandip Sen, A Simulation Framework for Measuring Robustness of Incentive Mechanisms and Its Implementation in Reputation Systems, Autonomous Agents and Multi-Agent Systems (JAAMAS), 30(4), pp. 581-600, 2016 (early short versions: A Practical Robustness Measure of Incentive Mechanisms, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014; Robustness Evaluation of Incentive Mechanisms, 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013)

Akin Gunay, Yang Liu and Jie Zhang, PROMOCA: Probabilistic Modeling and Analysis of Agent Behaviors in Commitment Protocols, Journal of Artificial Intelligence Research, accepted, 2016 (5-yr Impact Factor: 2.32, conference version: Automated Analysis of Commitment Protocols using Probabilistic Model Checking, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015 26.67% of acceptance, 531/1991)

Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung and Jie Zhang, Improved EGT-based Robustness Analysis of Negotiation Strategies in Multi-agent Systems via Model Checking, IEEE Transactions on Human-Machine Systems (THMS), 46(2), pp. 197-208, 2016 (5-yr Impact Factor: 2.428)

Zeinab Noorian, Jie Zhang, Yuan Liu, Stephen Marsh, and Michael Fleming, Trust-Oriented Buyer Strategies for Seller Reporting and Selection in Competitive Electronic Marketplaces, Autonomous Agents and Multi-Agent Systems (JAAMAS), 28(6), pp. 896-933, 2014

Jie Zhang and Robin Cohen, A Framework for Trust Modeling in Multiagent Electronic Marketplaces with Buying Advisors to Consider Varying Seller Behavior and the Limiting of Seller Bids, ACM Transactions on Intelligent Systems and Technology (TIST), 4(2), 2013 (Impact Factor: 9.39)

Jie Zhang and Robin Cohen, Design of a Mechanism for Promoting Honesty in E-Marketplaces, 22nd Conference on Artificial Intelligence (AAAI), 2007 (27% of acceptance, 253/921, top 5% (47/921) paper slated for additional poster presentation, short version: An Incentive Mechanism for Eliciting Fair Ratings of Sellers in E-Marketplaces, 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2007)

Le-Hung Vu, Jie Zhang and Karl Aberer, Using Identity Premium for Cooperation Enforcement and Whitewashing Prevention, Computational Intelligence, 30(4), pp. 771-797, 2014

Jie Zhang, Robin Cohen and Kate Larson, Combining Trust Modeling and Mechanism Design for Promoting Honesty in E-Marketplaces, Computational Intelligence, 28(4), pp. 549-578, 2012 (conference version: Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces, IFIP WG 11.11 International Conference on Trust Management IFIPTM'10)

 

 
Trust Management and Security in Networking

Shuo Chen, Athirai Irissappane and Jie Zhang, POMDP-based Decision Making for Fast Event Handling in VANETs, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018 (24.6% of acceptance, 933/3800)

Yinxing Xue, Guozhu Meng, Yang Liu, Tian Huat Tan, Hongxu Chen, Jun Sun, and Jie Zhang, Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique, IEEE Transactions on Information Forensics & Security (TIFS), accepted, 2017 (Impact Factor: 2.441)

Athirai A. Irissappane, Jie Zhang, Frans Oliehoek and Partha S Dutta, Secure Routing in Wireless Sensor Networks via POMDPs, 25th International Joint Conference on Artificial Intelligence (IJCAI), 2015 (28.8% of acceptance, 575/1996)

Peng Zhou, Siwei Jiang, Athirai A. Irissappane, Jie Zhang, Jianying Zhou and Joseph Chee Ming Teo, Toward Energy-Efficient Trust System through Watchdog Optimization for WSNs, IEEE Transactions on Information Forensics & Security (TIFS), 10(3), pp. 613-625, 2015 (Impact Factor: 2.441)

Guozhu Meng, Yang Liu, Jie Zhang, Alexander Pokluda and Raouf Boutaba, Collaborative Security: A Survey and Taxonomy, ACM Computing Surveys, 48(1), 2015 (5-yr Impact Factor: 7.443)

Qin Li, Amizah Malip, Keith Martin, Siaw-Lynn Ng and Jie Zhang, A Reputation-based Announcement Scheme for VANETs, IEEE Transactions on Vehicular Technology (TVT), 61(9), pp. 4095-4108, 2012 (Impact Factor: 1.921)

Carol J Fung, Jie Zhang and Raouf Boutaba, Effective Acquaintance Management based on Bayesian Learning for Distributed Intrusion Detection Networks, IEEE Transactions on Network and Service Management (TNSM), 9(3), pp. 320-332, 2012 (Impact Factor: 3.134; conference version: Effective Acquaintance Management for Collaborative Intrusion Detection Networks, 6th International Conference on Network and Service Management (CNSM), 2010 15% of acceptance, Best Student Paper Award)

Carol J Fung, Jie Zhang, Issam Aib and Raouf Boutaba, Dirichlet-based Trust Management for Effective Collaborative Intrusion Detection Networks, IEEE Transactions on Network and Service Management (TNSM), 8(2), pp. 79-91, 2011 (Impact Factor: 3.134; conference version: Robust and Scalable Trust Management for Collaborative Intrusion Detection, 11th IFIP/IEEE International Symposium on Integrated Network Management (IM), 2009 Best Paper Award)

Umar F. Minhas, Jie Zhang, Thomas Tran and Robin Cohen, A Multi-faceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks, IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews (SMCC), 41(3), pp. 407-420, 2011 (Impact Factor: 2.105)

Jie Zhang, A Survey on Trust Management for VANETs, 25th International Conference on Advanced Information Networking and Applications (AINA), 2011

John Finnson, Jie Zhang, Thomas Tran, Umar F. Minhas and Robin Cohen, A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-hoc Networks and its Validation through Simulated Traffic Flow, 20th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2012 (21.7% of acceptance)

 

 
Deception Detection and Online Review Systems

Xiaoming Li, Hui Fang and Jie Zhang, FILE: A Novel Framework for Predicting Social Status in Signed Networks, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018 (24.6% of acceptance, 933/3800)

Chang Xu, Jie Zhang and Zhu Sun, Online Reputation Fraud Campaign Detection in User Ratings, 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017 (26% of acceptance, 660/2540)

Qikun Xiang, Jie Zhang, Ido Nevat and Pengfei Zhang, A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing, 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017 (26% of acceptance, 660/2540; short version: A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing, 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS))

Chang Xu and Jie Zhang, Collusive Opinion Fraud Detection in Online Reviews: A Probabilistic Modeling Approach, ACM Transactions on the Web (TWEB), accepted, 2017 (Impact Factor: 1.595, conference version: Towards Collusive Fraud Detection in Online Reviews, IEEE International Conference on Data Mining series (ICDM), 2015 (18.2% of acceptance, 147/807))

Chang Xu and Jie Zhang, Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features, 15th SIAM International Conference on Data Mining (SDM), 2015 (14.7% of acceptance)

Chang Xu, Jie Zhang, Kuiyu Chang and Chong Long, Uncovering Collusive Spammers in Chinese Review Websites, 22nd ACM International Conference on Information and Knowledge Management (CIKM), 2013 (16.9% of acceptance, 143/848)

Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li and Bin Ma, Estimating Feature Ratings through an Effective Review Selection Approach, Knowledge and Information Systems (KAIS), 38(2), pp. 419-446, 2014 (Impact Factor: 2.0, conference version: Specialized Review Selection for Feature Rating Estimation, IEEE/WIC/ACM International Conference on Web Intelligence WI'09, 16% of acceptance)

Hui Fang, Jie Zhang, Yang Bao and Qinghua Zhu, Towards Effective Online Review Systems in the Chinese Context: A Cross-Cultural Empirical Study, Electronic Commerce Research and Applications (ECRA), 12(3), pp. 208-220, 2013 (Impact Factor: 1.946)

Xin Liu, Anwitaman Datta, Hui Fang and Jie Zhang, Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites, 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 (28% of acceptance, 100/358)

Chong Long, Jie Zhang and Xiaoyan Zhu, A Review Selection Approach for Accurate Feature Rating Estimation, 23rd International Conference on Computational Linguistics (COLING), 2010. (27.5% of acceptance, 181/657)

 

 
Optimization and Efficiency

Wen Song, Donghun Kang, Jie Zhang and Hui Xi, Risk-aware Proactive Scheduling via Conditional Value-at-Risk, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018 (24.6% of acceptance, 933/3800)

Zhiguang Cao, Hongliang Guo, Jie Zhang and Ulrich Fastenrath, A Multiagent-based Approach for Vehicle Routing by Considering both Arriving on Time and Total Travel Time, ACM Transactions on Intelligent Systems and Technology (TIST), accepted, 2017 (5-year Impact Factor: 9.15; conference version: Multiagent-based Route Guidance for Increasing the Chance of Arrival on Time, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016 (26% of acceptance, 549/2132))

Wen Song, Donghun Kang, Jie Zhang and Hui Xi, Proactive Project Scheduling with Time-dependent Workability Uncertainty, 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017 (26% of acceptance, 155/595)

Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans Oliehoek and Ulrich Fastenrath, Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method, 31st AAAI Conference on Artificial Intelligence (AAAI), 2017 (24.6% of acceptance, 638/2590)

Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Madhavan Seshadri and Ulrich Fastenrath, Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability, IEEE Transactions on Emerging Topics in Computational Intelligence, accepted, 2017

Zhiguang Cao, Siwei Jiang, Jie Zhang and Hongliang Guo, A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion, IEEE Transactions on Intelligent Transportation Systems (ITS), in press, 2016 (Impact Factor: 2.377; short conference version: A Pheromone-based Traffic Management Model for Vehicle Re-routing and Traffic Light Control, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014)

Hongliang Guo and Jie Zhang, A Distributed and Scalable Machine Learning Approach for Big Data, 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016 (<25% of acceptance, 2294 submissions)

Siwei Jiang and Jie Zhang, A Simple and Fast Hypervolume Indicator-based Multiobjective Evolutionary Algorithm, IEEE Transactions on Cybernetics, 45(10), pp. 2202-2213, 2015 (Impact Factor: 3.236)

Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, and Ulrich Fastenrath, Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach, IEEE Transactions on Intelligent Transportation Systems (ITS), in press, 2015 (Impact Factor: 2.377)

Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, and Ulrich Fastenrath, Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method, IEEE Transactions on Vehicular Technology (TVT), in press, 2015 (Impact Factor: 1.978)

Siwei Jiang, Jie Zhang and Yew-Soon Ong, Multiobjective Optimization Based on Reputation, Information Sciences, Volume 286, pp. 125-146, 2014 (Impact Factor: 3.893; conference version: A Multiagent Evolutionary Framework based on Trust for Multiobjective Optimization, 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2012 (20.4% of acceptance, 137/671))

Siwei Jiang, Yew-Soon Ong and Jie Zhang, Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization, IEEE Transactions on Cybernetics, 44(12), pp.2391-2404, 2014 (Impact Factor: 3.236)

 

 
PhD Thesis

Promoting Honesty in E-Marketplaces: Combining Trust Modeling and Incentive Mechanism Design
University of Waterloo, Canada, 2009
Supervisor: Professor Robin Cohen
External Committee Member: Professor Munindar P. Singh

Full List of Publications

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