Journal Publications

Jing Sun, Shuo Chen, Cong Zhang, Yining Ma and Jie Zhang, Decision-making with Speculative Opponent Models, IEEE Transactions on Neural Networks and Learning Systems, 2024

Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Yang Dong and Jie Zhang, Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System, ACM Transactions on Information Systems (TOIS), accepted, 2023

Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang and Yeow Meng Chee, Learning Feature Embedding Refiner for Solving Vehicle Routing Problems, IEEE Transactions on Neural Networks and Learning Systems, 2023

Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang and Chen Lv, Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration, IEEE Transactions on Neural Networks and Learning Systems, 2023

Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, Teacher-Apprentices RL (TARL): Leveraging Complex Policy Distribution through Generative Adversarial Hypernetwork in Reinforcement Learning, Autonomous Agents and Multi-Agent Systems, accepted, 2023

Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang and Chunyan Miao, SelfCF: A Simple Framework for Self-supervised Collaborative Filtering, ACM Transactions on Recommender Systems (TORS), accepted, 2023

Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong and Jie Zhang, A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals, ACM Transactions on Information Systems (TOIS), accepted, 2023

Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang and Xue-Ming Yuan, Single-site Perishable Inventory Management under Uncertainties: A Deep Reinforcement Learning Approach, IEEE Transactions on Knowledge and Data Engineering, 2023

Yaoxin Wu, Jianan Zhou, Zhiguang Cao, Wen Song, Jie Zhang and Zhenghua Chen, Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling, IEEE Transactions on Knowledge and Data Engineering, 2023

Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao and Jie Zhang, Neural airport ground handling, IEEE Transactions on Intelligent Transportation Systems (TITS), 2023

Yanchao Wang, Yidan Xing, and Jie Zhang, Voronoi Treemap in Manhattan Distance and Chebyshev Distance, Information Visualization, accepted, 2023

Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong and Jie Zhang, DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2022

Yitong Ji, Aixin Sun, Jie Zhang and Chenliang Li, A Critical Study on Data Leakage in Recommender System Offline Evaluation, ACM Transactions on Information Systems (TOIS), accepted, 2022

Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu and Dacheng Tao, Aspect-Aware Graph Attention Network for Heterogeneous Information Networks, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted, 2022

Mingsheng Fu, Liwei Huang, Ananya Yao, Athirai Irissappane, Jie Zhang and Hong Qu, A Deep Reinforcement Learning Recommender system with Multiple Policies for Recommendations, IEEE Transactions on Industrial Informatics, accepted, 2022

Xiao Sha, Zhu Sun, Jie Zhang and Yew Soon Ong, Who Wants to Shop with You: Joint Product-Participant Recommendation for Group-Buying Service, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted, 2022

Liwei Huang, Mingsheng FU, Ananya Rao, Athirai Irissappane, Jie, Zhang and Cheng-Zhong Xu, A Distributional Perspective on Multi-agent Cooperation with Deep Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2022

Chuang Zhang , Yuan Liu, Xin Zhou, Zhihong Tian and Jie Zhang, A Semi-centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System, IEEE Transactions on Services Computing, accepted, 2022

Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu and Yunwen Xia, Conversation-based Adaptive Relational Translation Method for Next POI Recommendation with Uncertain Check-ins, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted, 2022

Marcus de Carvalho, Mahardhika Pratama and Jie Zhang, ACDC: A Framework for Autonomous Cross-domain Adaptation Learning on Online Streaming, Knowledge-Based Systems, accepted, 2022

Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Bihan Wen, Jie Zhang, Puay Siew Tan and Justin Dauwels, Learning to Solve Multiple-TSP with Time Window and Rejection via Deep Reinforcement Learning, IEEE Transactions on Intelligent Transportation Systems (TITS), 2022

Yuan Liu, Zehui Xiong, Qin Hu, Dusit Niyato, Jie Zhang, Chunyan Miao, Cyril Leung and Zhihong Tian, VRepChain: A Decentralized and Privacy-preserving Reputation System for Social Internet of Vehicles Based on Blockchain, IEEE Transactions on Vehicular Technology, accepted, 2022

Cong Zhang, Yaoxin Wu, Yining Ma, Wen Song, Le Zhang, Zhiguang Cao and Jie Zhang, A Review on Learning to Solve Combinatorial Optimization Problems in Manufacturing, IET Collaborative Intelligent Manufacturing, accepted, 2022

Da Xiao, Shuo Chen, Wei Ni, Jie Zhang, Andrew Zhang and Renping Liu, A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing, Computer Networks, Volume 217, 2022

Hui Fang, Xiaoming Li and Jie Zhang, Integrating Social Influence Modeling and User Modeling for Trust Prediction in Signed Networks, Artificial Intelligence, accepted, 2021

Xiao Sha, Zhu Sun and Jie Zhang, Disentangling Multi-facet Social Relations for Recommendation, IEEE Transactions on Computational Social Systems, accepted, 2021

Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu and Andrew Lim, Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems, Engineering Applications of Artificial Intelligence (EAAI), accepted, 2021

Yuan Jiang, Zhiguang Cao and Jie Zhang, Learning to Solve 3D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming, IEEE Transactions on Cybernetics, 2021

Jingwen Li, Ruize Gao, Yining Ma, Zhiguang Cao, Andrew Lim, Wen Song and Jie Zhang, Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem, IEEE Transactions on Cybernetics, 2021

Hongliang Guo, Xuejie Hou, Zhiguang Cao and Jie Zhang, GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks, IEEE Transactions on Intelligent Transportation Systems, accepted, 2021

Xiao Sha, Zhu Sun and Jie Zhang, Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation, Electronic Commerce Research and Applications, 2021

Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang and Hong Qu, Deep Reinforcement Learning Framework for Category Based Item Recommendation, IEEE Transactions on Cybernetics, 2021

Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu and Pei Lv, TriATNE: Tripartite Adversarial Training for Network Embeddings, IEEE Transactions on Cybernetics, 2021

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang and Andrew Lim, Learning Improvement Heuristics for Solving Routing Problems, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted, 2021

Zhu Sun, Li Chen, Lei Yu, Lu Zhang, Jie Zhang and Liangshun Pan, Point-of-Interest Recommendation for Users-Businesses with Uncertain Check-ins, IEEEE Transactions on Knowledge and Data Engineering, 2021

Qiang He, Hui Fang and Jie Zhang, Dynamic Opinion Maximization in Social Networks, IEEEE Transactions on Knowledge and Data Engineering, 2021

Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song and Jie Zhang, Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning, IEEE Transactions on Intelligent Transportation Systems (ITS), accepted, 2021

Liang Xin, Wen Song, Zhiguang Cao and Jie Zhang, Step-wise Deep Learning Models for Solving Routing Problems, IEEE Transactions on Industrial Informatics, accepted, 2020

Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang and Weiliang Zeng, Cost-sensitive Deep Forest for Price Prediction, Pattern Recognition, accepted, 2020

Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang and Mingliang Xu, Learning network representations with different order structural information, IEEE Transactions on Computational Social Systems (TCSS), accepted, 2020

Lu Zhang, Zhu Sun, Jie Zhang, Horst Kloeden and Felix Klanner, Modeling Hierarchical Category Transition for Next POI Recommendation with Uncertain Check-ins, Information Sciences, accepted, 2019

Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang and Robin Burke, Research Commentary on Recommendations with Side Information: A Survey and Research Directions, Electronic Commerce Research and Applications, accepted, 2019

Yang Bao, Bin Ke, Bin Li, Y. Julia Yu, and Jie Zhang, Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach, Journal of Accounting Research, accepted, 2019

Dongxia Wang, Tim Muller, Jie Zhang and Yang Liu, Information Theoretical Analysis of Unfair Rating Attacks under Subjectivity, IEEE Transactions on Information Forensics & Security (TIFS), accepted, 2019

Wen Song, Donghun Kang, Jie Zhang, Hui Xi and Zhiguang Cao, A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty, Journal of Artificial Intelligence Research, accepted, 2019

Tony Luo, Jianwei Huang, Salil Kanhere, Jie Zhang and Sajal Das, Improving IoT Data Quality in Mobile Crowdsensing: A Cross Validation Approach, IEEE Internet of Things Journal, accepted, 2019

Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang and Yafang Wang, Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning, IEEE Access, accepted, 2019

Guozhu Meng, Matthew Patrick, Yinxing Xue, Yang Liu and Jie Zhang, Securing Android App Markets via Modelling and Predicting Malware Spread between Markets, IEEE Transactions on Information Forensics & Security, accepted, 2018

Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen and Jie Zhang, Exploring Communities in Large Profiled Graphs, IEEE Transactions on Knowledge and Data Engineering, accepted, 2018

Noel Sardana, Robin Cohen, Jie Zhang and Shuo Chen, A Bayesian multiagent trust model for social networks, IEEE Transactions on Computational Social Systems (TCSS), accepted, 2018

Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang and Hai Thanh Nguyen, BPRH: Bayesian Personalized Ranking for Heterogeneous Implicit Feedback, Information Sciences, accepted, 2018

Zehong Hu and Jie Zhang, Towards General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality, IEEE Transactions on Computational Social Systems (TCSS), accepted, 2018

Hui Fang, Jie Zhang and Murat Sensoy, A Generalized Stereotype Learning Approach and its Instantiation in Trust Modeling, Electronic Commerce Research and Applications, accepted, 2018

Wen Song; Hui Xi; Donghun Kang; Jie Zhang, An Agent-based Simulation System for Multi-Project Scheduling under Uncertainty, Simulation Modelling Practice and Theory, accepted, 2018

Zhiguang Cao, Hongliang Guo and Jie Zhang, 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), 9(3), Article No. 25, 2018

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), 31(6), pp. 1548-1577, 2017

Chang Xu and Jie Zhang, Collusive Opinion Fraud Detection in Online Reviews: A Probabilistic Modeling Approach, ACM Transactions on the Web (TWEB), 11(4), Article No. 25, 2017

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, 31(1), pp. 36-65, 2017

Guibing Guo, Jie Zhang, Feida Zhu and Xingwei Wang, Factored Similarity Models with Social Trust for Top-N Item Recommendation, Knowledge-Based Systems, 122(c), pp. 17-25, 2017

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), 12(7), pp. 1529-1544, 2017

Pradeep Varakantham, Bo An, Bryan Low and Jie Zhang, Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation, AI Magazine, Vol 38, No 3, 2017

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, 1(2), pp. 112-124, 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), 1958-1973, 18(7), 2017

Yuan Liu, Jie Zhang and Quanyan Zhu, CONGRESS: A Hybrid Reputation System for Coping with Rating Subjectivity, IEEE Transactions on Computational Social Systems, 4(3), pp. 163-178, 2017

Hongbing Wang, Hualan Wang, Guibing Guo, Yangyu Tang and Jie Zhang, "Measuring Similarity of Users with Qualitative Preferences for Service Selection", Knowledge and Information Systems (KAIS), 51(2), pp. 561-594, 2017

Hongbing Wang, Bin Zou, Guibing Guo, Danrong Yang and Jie Zhang, "Integrating Trust with User Preference for Effective Web Service Composition", IEEE Transactions on Services Computing, 10(4), pp. 574-588, 2017

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), 28(7), pp. 1607-1620, 2016

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, 30(4), pp. 581-600, 2016

Guibing Guo, Jie Zhang and Neil Yorke-Smith, A Novel Evidence-based Bayesian Similarity Measure for Recommender Systems, ACM Transactions on the Web, 10(2), Article No. 8, 2016

Robin Cohen, John Finnson, Thomas Tran and Jie Zhang, An Ontological Representation for Trust-Based Decision Making in Transportation Environments, Multiagent and Grid Systems, 12(4), pp. 319-342, 2016

Akin Gunay, Yang Liu and Jie Zhang, PROMOCA: Probabilistic Modeling and Analysis of Agent Behaviors in Commitment Protocols, Journal of Artificial Intelligence Research, 57, pp. 465- , 2016

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

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), 17(6), pp. 1688-1702, 2016

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), 65(6), pp. 3993-4005, 2016

Peng Zhou, Xiaojing Gu, Jie Zhang and Minrui Fei, "A Priori Trust Inference with Context-Aware Stereotypical Deep Learning", Knowledge-Based Systems, Volume 88 Issue C, Pages 97-106, 2015

Guozhu Meng, Yang Liu, Jie Zhang, Alexander Pokluda and Raouf Boutaba, "Collaborative Security: A Survey and Taxonomy", ACM Computing Surveys, Volume 48, Issue 1, Article No.1, 2015

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

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

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

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

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

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

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, 28(6), pp. 896-933, 2014

Guibing Guo, Jie Zhang and Daniel Thalmann, "Merging Trust in Collaborative Filtering to Alleviate Data Sparsity and Cold Start", Knowledge-Based Systems, Volume 57, pp. 57-68, 2014

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

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

Yuan Liu and Jie Zhang, "An Incentive Mechanism Designed for E-Marketplaces with Limited Inventory", Electronic Commerce Research and Applications, 13(2), pp. 110-127, 2014

Yao Wang, Jie Zhang and Julita Vassileva, "A Super-Agent Based Framework for Reputation Management and Community Formation in Decentralized Systems", Computational Intelligence, 30(4), pp. 722-751, 2014

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

Siwei Jiang, Jie Zhang and Yew-Soon Ong, "Multiobjective Optimization Based on Reputation", Information Sciences, Volume 286, pp. 125-146, 2014

Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang and Yutaka Miyake, "Opinions of People: Factoring in Privacy and Trust", ACM SIGAPP Applied Computing Review (ACR), 14(3), pp. 7-21, 2014

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

Robin Cohen, Jie Zhang, John Finnson, Thomas Tran and Umar F Minhas, "A Trust-Based Framework for Vehicular Travel with Non-Binary Reports and Its Validation via an Extensive Simulation Testbed", Journal of Trust Management, 1(10), 2014

Guibing Guo, Jie Zhang, Daniel Thalmann and Neil Yorke-Smith, "Leveraging Prior Ratings for Recommender Systems in E-Commerce", Electronic Commerce Research and Applications, 13(6), pp. 440-455, 2014

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat-Thalmann, "Reputation Mechanism for E-Commerce in Virtual Reality Environments", Electronic Commerce Research and Applications, 13(6), pp. 409-422, 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 (ACM TIST), 4(2), 2013.

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

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, 12(3), pp. 208-220, 2013

Joshua Gorner, Jie Zhang and Robin Cohen, "Improving Trust Modelling through the Limit of Advisor Network Size and Use of Referrals", Electronic Commerce Research and Applications, 12(2), pp. 112-123, 2013

Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao and and Robin Cohen, "Qualitative Preference-Based Service Selection for Multiple Agents", Web Intelligence and Agent Systems (WIAS), 11(3), pp. 263-282, 2013

Jie Zhang, Chen Chen and Robin Cohen, "Trust Modeling for Message Relay Control and Local Action Decision Making in VANETs", Security and Communication Networks (SCN), 6(1), pp. 1-14, 2013.

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.

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.

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

Jie Zhang, "Trust Management for VANETs: Challenges, Desired Properties and Future Directions", International Journal of Distributed Systems and Technologies (IJDST) Special Issue on Security, Privacy and Trust, 3(1), pp. 48-62, 2012.

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.

Jie Zhang, "Extensive Experimental Validation of a Personalized Approach for Coping with Unfair Ratings in Reputation Systems", Journal of Theoretical and Applied Electronic Commerce Research (JTAER), 6(3), pp. 43-64, 2011.

Carol J Fung, Jie Zhang, Issam Aib, and Raouf Boutaba, "Trust Management and Admission Control for Host-based Collaborative Intrusion Detection", Journal of Network and Systems Management (JNSM), 19(2), pp. 257-277, 2011

Umar Farooq 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, 2010

Jie Zhang, Chen Chen and Robin Cohen, "A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks", Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 1(4), 2010

Umar Farooq Minhas, Jie Zhang, Thomas Tran and Robin Cohen, "Towards Expanded Trust Management for Agents in Vehicular Ad-hoc Networks", International Journal of Computational Intelligence: Theory and Practice (IJCITP), 5(1), 2010

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, 7(3), pp. 330-340, 2008

Jie Zhang and Robin Cohen, "A Comprehensive Approach for Sharing Semantic Web Trust Ratings", Computational Intelligence, 23(3), pp. 302-319, 2007

Jie Zhang, Ali Ghorbani and Robin Cohen, "A Familiarity-based Trust Model for Effective Selection of Sellers in Multiagent E-commerce Systems", International Journal of Information Security, 6(5), pp. 333-344, 2007

 

 
Conference Publications

Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li and Jie Zhang, Configurable Fairness for New Item Recommendation Considering Entry Time of Items, 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024

Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang and Xu Chi, MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts, 41st International Conference on Machine Learning (ICML), 2024

Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu and Jie Zhang, Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling, Twelfth International Conference on Learning Representations (ICLR), 2024

Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang and Yue-Jiao Gong, SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning, Twelfth International Conference on Learning Representations (ICLR), 2024

Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang and Mingliang Xu, 2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem, 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024

Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song and Jie Zhang, Enhancing Job Recommendation through LLM-based Generative Adversarial Networks, Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Chua Haoyan and Edward Yapp, Towards Cross-Domain Continual Learning, 40th IEEE International Conference on Data Engineering (ICDE), 2024

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao and Jie Zhang, Towards Omni-generalizable Neural Methods for Vehicle Routing Problems, 40th International Conference on Machine Learning (ICML), 2023

Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song and Jie Zhang, Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023

Kaixin Wang, Cheng Long, Da Yan, Jie Zhang and H. V. Jagadish, Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams, 39th IEEE International Conference on Data Engineering (ICDE), 2023

Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang and Yew Soon Ong, Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction, 17th ACM Recommender Systems Conference (RecSys), 2023

Yuan Jiang, Zhiguang Cao, Yaoxin Wu and Jie Zhang, Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems, 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta and Mingyan Simon Lin, Graph Learning Assisted Multi-Objective Integer Programming, Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022

Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong and Xinghua Qu, Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences, The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022

Shen Xin, Yuhang Jiao, Yuguang Wang, Cheng Long, Xiaowei Wang, Sen Yang, Ji Liu and Jie Zhang, Prototype Feature Extraction for Multi-task Learning, The ACM Web Conference (WWW), 2022

Yaoxin Wu, Wen Song, Zhiguang Cao and Jie Zhang, Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs, 10th International Conference on Learning Representations (ICLR), 2022

Yuan Jiang, Yaoxin Wu, Zhiguang Cao and Jie Zhang, Learning to Solve Routing Problems via Distributionally Robust Optimization, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang and Yajuan Sunm, Class-Incremental Learning via Knowledge Amalgamation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2022

Yitong Ji, Aixin Sun, Jie Zhang and Chenliang Li, Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Performance from a Time Perspective, ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2022

Yaoxin Wu, Wen Song, Zhiguang Cao and Jie Zhang, Learning Large Neighborhood Search Policy for Integer Programming , Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021

Liang Xin, Wen Song, Zhiguang Cao and Jie Zhang, NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem, Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2021

Liang Xin, Wen Song, Zhiguang Cao and Jie Zhang, Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems, 35th AAAI Conference on Artificial Intelligence (AAAI), 2021

Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork, 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021

Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu and Jingren Zhou, ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce, IEEE International Conference on Data Engineering (ICDE) Industry and Applications Track, 2021

Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang and Yi Xu, Adaptive Holding for Online Bottleneck Matching with Delays, SIAM International Conference on Data Mining (SDM), 2021

Danni Peng, Sinno Jialin Pan, Jie Zhang and Anxiang Zeng, Learning An Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems, 15th ACM Conference on Recommender Systems (RecSys), 2021

Leonit Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo and Jie Zhang, BEQA: A Blockchain Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence, 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 (Extended Abstract)

Yuan Jiang, Zhiguang Cao and Jie Zhang, Solving 3D Bin Packing Problem via Multimodel Deep Reinforcement Learning, 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 (Extended Abstract)

Danni Peng, Xiaobo Hu, Anxiang Zeng and Jie Zhang, Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update, 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 (Student Abstract)

Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan and Chi Xu, Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning, 34th Conference on Neural Information Processing Systems (NeurIPS), 2020

Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li and Ziqing Wu, An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins, 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020

Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao and Irwin King, Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach, 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020

Leonit Zeynalvand, Tony T. Luo and Jie Zhang, COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

Shuo Chen, Ewa Andrejczuk, Zhiguang Cao and Jie Zhang, AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

Qing Guo, Zhu Sun, Jie Zhang and Yin-Leng Theng, An Attentional Recurrent Neural Network for Personalized Next Location Recommendation, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

Monidipa Das, Mahardhika Pratama, Jie Zhang and Yew Soon Ong, A Skip-connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang and Cong Geng, Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison, 14th ACM Conference on Recommender Systems (RecSys), Reproducibility track, 2020

Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan and Yanghua Li, Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion, 29th ACM International Conference on Information and Knowledge Management (CIKM) Applied Research Track, 2020

Yitong Ji, Aixin Sun, Jie Zhang and Chenliang Li, A Re-visit of Popularity Baseline in Recommender Systems, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

Shuo Chen, Athirai A. Irissappane, Ewa Andrejczuk and Jie Zhang, ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection, 29th International Joint Conference on Artificial Intelligence (IJCAI), 2019

Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan and Jie Zhang, Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits, 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019

Zehong Hu and Jie Zhang, General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality Using Continuum-Armed Bandits, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019

Xiaoming Li, Hui Fang and Jie Zhang, Supervised User Ranking in Signed Social Networks, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019

Monidipa Das, Mahardhika Pratama, Septiviana Savitri, and Jie Zhang, MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification, 19th IEEE International Conference on Data Mining (ICDM), 2019 (9.08% of acceptance, 95/1046)

Qing Guo, Zhu Sun, Jie Zhang, Qi Chen and Yin-Leng Theng, Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks, 19th International Conference on Web Engineering (ICWE), 2019

Zehong Hu, Yitao Liang, Jie Zhang and Yang Liu, Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing, 32nd Conference on Neural Information Processing Systems (NIPS), 2018

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

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

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

Zehong Hu and Jie Zhang, A Novel Strategy for Active Task Assignment in Crowd Labeling, 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018

Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Longkai Huang and Chi Xu, Recurrent Knowledge Graph Embedding for Effective Recommendation, 12th ACM Conference on Recommender Systems (RecSys), 2018

Xiaoming Li, Hui Fang, Qing Yang and Jie Zhang, Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship, 26th ACM Conference on User Modelling, Adaptation and Personalization (ACM UMAP), 2018

Leonit Zeynalvand, Jie Zhang, Tony T. Luo and Shuo Chen, MASA: Multi-agent Subjectivity Alignment for Trustworthy Internet of Things, 21st International Conference on Information Fusion (Fusion), 2018

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

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

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

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

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

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

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

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

Qikun Xiang, Jie Zhang, Ido Nevat and Pengfei Zhang, A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing, 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017 (extended abstract)

Donghun Kang, Zhenchao Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang and Hui Xi, Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models, 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017 (demon paper)

Xiaoming Li, Hui Fang and Jie Zhang, Rethinking the Link Prediction Problem in Signed Social Networks, 31st AAAI Conference on Artificial Intelligence (AAAI), 2017 (student abstract)

Wen Song, Donghun Kang, Jie Zhang and Hui Xi, A Sampling based Approach for Proactive Project Scheduling with Time-dependent Duration Uncertainty, 31st AAAI Conference on Artificial Intelligence (AAAI), 2017 (student abstract)

Audun Josang, Jie Zhang and Dongxia Wang, Multi-Source Fusion in Subjective Logic, In Proceedings of the 20th International Conference on Information Fusion (FUSION), 2017

Audun Josang, Jie Zhang and Dongxia Wang, Multi-Source Trust Revision, In Proceedings of the 20th International Conference on Information Fusion (FUSION), 2017

Zhu Sun, Guibing Guo and Jie Zhang, Learning Hierarchical Category Influence on both Users and Items for Effective Recommendation, In Proceedings of the 32nd ACM Symposium on Applied Computing (SAC), 2017

Qing Guo, Zhu Sun, Jie Zhang, Qi Chen and Yin-Leng Theng, Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence, 25th ACM Conference on User Modelling, Adaptation and Personalization (ACM UMAP), 2017

Zhu Sun, Guibing Guo, Jie Zhang and Chi Xu, A Unified Latent Factor Model for Effective Category-Aware Recommendation, 25th ACM Conference on User Modelling, Adaptation and Personalization (ACM UMAP), 2017

Shuo Chen, Rongxing Lu and Jie Zhang, A Flexible Privacy-preserving Framework for Singular Value Decomposition under Internet of Things Environment, 11th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), 2017

Magdalena Ivanovska, Audun Josang, Jie Zhang and Shuo Chen, Joint Subjective Opinions, 14th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), 2017

Xiaoming Li, Hui Fang and Jie Zhang, A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks, 13th International Conference on Advanced Data Mining and Applications (ADMA), 2017 (Spotlight Research Paper, 16.95% of acceptance rate, 20/118)

Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang and Ulrich Fastenrath, Multiagent-based Cooperative Vehicle Routing Using Node Pressure and Auctions, IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017

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

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

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

Zhiguang Cao, Hongliang Guo, Jie Zhang and Ulrich Fastenrath, Multiagent-based Route Guidance for Increasing the Chance of Arrival on Time, 30th AAAI Conference on Artificial Intelligence (AAAI), 2016

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

Wen Song, Donghun Kang, Jie Zhang and Hui Xi, Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016

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

Guozhu Meng, Yinxing Xue, Chandramohan Mahinthan, Annamalai Narayanan, Yang Liu, Jie Zhang and Tieming Chen, Mystique: Evolving Android Malware for Auditing Anti-Malware Tools, ACM Asia Conference on Computer and Communications Security (ASIACCS), 2016

Guozhu Meng, Yinxing Xue, Zhengzi Xu, Yang Liu, Jie Zhang and Annamalai Narayanan, Semantic Modelling of Android Malware for Effective Malware Comprehension, Detection and Classification, International Symposium on Software Testing and Analysis (ISSTA), 2016

Tim Muller, Dongxia Wang, Jie Zhang and Yang Liu, How to Use Information Theory to Mitigate Unfair Rating Attacks, 10th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), 2016

Tim Muller, Yang Liu and Jie Zhang, Limitations on Robust Ratings and Predictions, 10th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), 2016

Zhu Sun, Guibing Guo and Jie Zhang, Effective Recommendation with Category Hierarchy, 24th ACM Conference on User Modelling, Adaptation and Personalization (ACM UMAP), 2016

Huihuai Qiu, Jie Zhang, Guibing Guo, Haithanh Nguyen, Zhu Sun and Yun Liu, TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback, 24th ACM Conference on User Modelling, Adaptation and Personalization (ACM UMAP), 2016

Athirai A. Irissappane, Jie Zhang, Frans Oliehoek and Partha S Dutta, "Secure Routing in Wireless Sensor Networks via POMDPs", In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2015

Dongxia Wang, Tim Muller, Jie Zhang and Yang Liu, "Quantifying Robustness of Trust Systems Against Collusive Unfair Rating Attacks Using Information Theory", In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2015

Guibing Guo, Jie Zhang and Neil Yorke-Smith, "TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings", In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015

Akin Gunay, Songzheng Song, Yang Liu and Jie Zhang, "Automated Analysis of Commitment Protocols using Probabilistic Model Checking", In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015

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

Chang Xu and Jie Zhang, Towards Collusive Fraud Detection in Online Reviews, In Proceedings of the IEEE International Conference on Data Mining series (ICDM), 2015

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

Tim Muller, Yang Liu and Jie Zhang, "The Fallacy of Endogenous Discounting of Trust Recommendations", In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015

Moath Jarrah and Jie Zhang, "Trusted Mediator Agents to Better Manage Complex and Competitive Supply Chains", In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015

Hui Xi, Chi Keong Goh, Partha S. Dutta, Meng Sha and Jie Zhang, "An Agent-based Simulation System for Dynamic Scheduling and Online Disruption Resolving", In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2015

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

Guibing Guo, Jie Zhang, Zhu Sun and Neil Yorke-Smith, "LibRec: A Java Library for Recommender Systems", In the Extended Proceedings of the 22nd International Conference on User Modeling, Adaptation and Personalization (UMAP), 2015 (demo paper)

Hongbing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang "Optimal and Effective Web Service Composition with Trust and User Preference", In Proceedings of the 22nd IEEE International Conference on Web Services (ICWS), 2015

Siyuan Liu, Chunyan Miao, Yuan Liu, Hui Fang, Han Yu, Jie Zhang and Cyril Leung, "A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings", In Proceedings of the 17th International Conference on Electronic Commerce (ICEC), 2015

Siyuan Liu, Chunyan Miao, Yuan Liu, Han Yu, Jie Zhang, and Cyril Leung, "An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks", In Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), 2015

Akin Gunay, Yang Liu, Jie Zhang, and Partha Dutta, "Automated Agent Behavior Construction for Protocol-based Multiagent Systems", In Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), 2015

Bin Li, Julia Yu, Jie Zhang and Bin Ke, "Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach", In Proceedings of the 7th Asian Conference on Machine Learning (ACML), 2015

Huanhuan Zhang, Jie Zhang, Carol Fung and Chang Xu, "Improving Sybil Detection via Graph Pruning and Regularization Techniques", In Proceedings of the 7th Asian Conference on Machine Learning (ACML), 2015

Hui Fang, Yang Bao and Jie Zhang, "Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation", In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014

Yang Bao, Hui Fang and Jie Zhang, "TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation", In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014

Athirai A. Irissappane, Frans A. Oliehoek and Jie Zhang, "A POMDP Based Approach to Optimally Select Sellers in Electronic Marketplace", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014

Hui Fang, Jie Zhang and Nadia Thalmann, "Subjectivity Grouping: Learning from Users' Rating Behavior", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014

Yuan Liu, Jie Zhang, Bo An and Sandip Sen, "A Practical Robustness Measure of Incentive Mechanisms", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014

Athirai A. Irissappane, Siwei Jiang and Jie Zhang, "A Biclustering-Based Approach to Filter Dishonest Advisors in Multi-Criteria E-Marketplaces", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014

Siwei Jiang, Jie Zhang and Yew-Soon Ong, "A Pheromone-based Traffic Management Model for Vehicle Re-routing and Traffic Light Control", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014

Songzheng Song, Yang Liu, Jie Zhang and Jun Sun, "An Extensive Model Checking Framework for Multi-agent Systems", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (Demo Paper)

Athirai A. Irissappane and Jie Zhang, "A Testbed to Evaluate the Robustness of Reputation Systems in E-Marketplaces", In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2014 (Demo Paper)

Yuan Liu, Jie Zhang, Han Yu and Chunyan Miao, "Reputation-aware Continuous Double Auction", In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI), 2014 (Student Abstract)

Yuan Liu, Siyuan Liu, Hui Fang, Jie Zhang, Han Yu and Chunyan Miao, "RepRev: Mitigating the Negative Effects of Misreported Ratings", In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence (AAAI), 2014 (Student Abstract)

Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu and Neil Yorke-Smith, "From Ratings to Trust: an Empirical Study of Implicit Trust in Recommender Systems", In Proceedings of the 29th ACM Symposium on Applied Computing (SAC), 2014

Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang and Yutaka Miyake, "Privacy Preserving Trusted Social Feedback", In Proceedings of the 29th ACM Symposium on Applied Computing (SAC), 2014

Huanhuan Zhang, Chang Xu and Jie Zhang, "Exploiting Trust and Distrust Information for Combating Sybil Attack in Online Social Networks", In Proceedings of the 8th International Conference on Trust management (IFIPTM), 2014

Tim Muller, Yang Liu, Sjouke Mauw and Jie Zhang, "On Robustness of Trust Systems", In Proceedings of the 8th International Conference on Trust management (IFIPTM), 2014

Guibing Guo, Jie Zhang, Daniel Thalmann and Neil Yorke-Smith, "ETAF: An Extended Trust Antecedents Framework for Trust Prediction", In Proceedings of the IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2014 (18% of acceptance)

Zeinab Noorian, Mohsen Mohkami, Yuan Liu, Hui Fang, Julita Vassileva and Jie Zhang, "SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2014

Dongxia Wang, Tim Muller, Yang Liu and Jie Zhang, "Towards Robust and Effective Trust Management for Security: A Survey", In Proceedings of the 13th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2014 (31.7% of acceptance, 73/230)

Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Ulrich Fastenrath, "Routing Multiple Cars in Large Scale Networks: Minimizing Road Network Breakdown Probability", In Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014

Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath, "A Data-Driven Method for Stochastic Shortest Path Problem", In Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014

Zhiguang Cao, Qin Li, Hoon Wei Lim and Jie Zhang, "A Multi-hop Reputation Announcement Scheme for VANETs", In Proceedings of the 9th International IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2014

Moath Jarrah, Bernard P. Zeigler, Chi Xu, and Jie Zhang, "A Multi-Agent Simulation Framework to Support Agent Interactions under Di erent Domains", In Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES), 2014

Athirai A. Irissappane and Jie Zhang, "Trust in Online Communities", Book Chapter in Computational Trust Models and Machine Learning, CRC Press, 2014

Chang Xu, Jie Zhang, Kuiyu Chang and Chong Long, "Uncovering Collusive Spammers in Chinese Review Websites", In Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM), 2013

Hui Fang, Yang Bao and Jie Zhang, "Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity", In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013

Guibing Guo, Jie Zhang and Neil Yorke-Smith, "A Novel Bayesian Similarity Measure for Recommender Systems", In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013

Athirai A. Irissappane, Siwei Jiang and Jie Zhang, "A Framework to Choose Trust Models for Different E-Marketplace Environments", In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013

Hui Fang, Jie Zhang and Nadia Magnenat Thalmann, "A Trust Model Stemmed from the Diffusion Theory for Opinion Evaluation", In Proceedings of the 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013

Siwei Jiang, Jie Zhang and Yew-Soon Ong, "An Evolutionary Model for Constructing Robust Trust Networks", In Proceedings of the 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013

Yuan Liu and Jie Zhang, "Robustness Evaluation of Incentive Mechanisms", In Proceedings of the 12th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2013

Guibing Guo, Jie Zhang, Daniel Thalmann and Neil Yorke-Smith, "Prior Ratings: A New Information Source for Recommender Systems in E-Commerce", In Proceedings of the ACM Recommender System conference (RecSys), 2013

Siwei Jiang, Jie Zhang and Yew-Soon Ong, "A Multiagent Evolutionary Framework based on Trust for Multiobjective Optimization", In Proceedings of the 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2012

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann, "SARC: Subjectivity Alignment for Reputation Computation", In Proceedings of the 11th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2012

Qin Li, Jie Zhang and Keith Martin, "Feedback as 'Shadow of the Present': An Alternative to Reputation Systems for E-Marketplaces", In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2012

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann, "A Generalized Stereotypical Trust Model", In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2012

Zeinab Noorian, Jie Zhang, Michael Fleming and Stephen Marsh, "Determining the Optimal Reporting Strategy in Competitive E-Marketplaces", In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2012

Xin Liu, Anwitaman Datta, Hui Fang and Jie Zhang, "Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites", In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2012

Guibing Guo, Jie Zhang and Daniel Thalmann, "A Simple but Effective Method to Incorporate Trusted Neighbors in Recommender Systems", In Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2012

John Finnson, Jie Zhang, Thomas Tran, Umar Farooq Minhas and Robin Cohen, "A framework for modeling trustworthiness of users in mobile vehicular ad-hoc networks and its validation through simulated traffic flow", In Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP), 2012

Yuan Liu, Jie Zhang and Qin Li, "Design of an Incentive Mechanism to Promote Honesty in E-Marketplaces with Limited Inventory", In Proceedings of the 14th International Conference on Electronic Commerce (ICEC), 2012

Hongbing Wang, Jie Zhang, Hualan Wang, Yangyu Tang and Guibing Guo, "Service Selection based on Similarity Measurement for Conditional Qualitative Preference", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2012

Cheng Wan, Jie Zhang and Athirai A. Irissappane, "A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2012 (short paper)

Hongbing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo and Xiang Zhou, "WCP-nets: A Weighted Extension to CP-nets for Web Service Selection", In Proceedings of the 10th International Conference on Service Oriented Computing (ICSOC), 2012

Lizi Zhang, Siwei Jiang, Jie Zhang and Wee Keong Ng, "Robustness of Trust Models and Combinations for Handling Unfair Ratings", In Proceedings of the 6th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), 2012

Yuan Liu, Jie Zhang and Qin Li, "An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory", In Proceedings of the 6th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), 2012

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", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP), 2011 (20% of acceptance)

Siyuan Liu, Jie Zhang, Chunyan Miao, Yin-Leng Theng and Alex C. Kot, "iCLUB: An Integrated Clustering-Based Approach to Improve the Robustness of Reputation Systems", In Proceedings of the 10th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2011

Guibing Guo, Jie Zhang and Julita Vassileva, "Improving PGP Web of Trust through the Expansion of Trusted Neighborhood", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2011

Qin Li, Keith Martin and Jie Zhang, "Design of a Multiagent-based E-Marketplace to Secure Service Trading on the Internet", In Proceedings of the 13th International Conference on Electronic Commerce (ICEC), 2011

Siwei Jiang, Jie Zhang and Yewsoon Ong, "Asymmetric Pareto-adaptive Scheme for Multi-Objective Optimization". In Proceedings of the 24th Australasian Joint Conference on Artificial Intelligence (AI), 2011

Hongbing Wang, Jie Zhang, Yangyu Tang and Shizhi Shao, "Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection", In Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2011

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann, "A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment", In Proceedings of the 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2011

Siwei Jiang, Zhihua Cai, Jie Zhang and Yewsoon Ong, "Multiobjective Optimization by Decomposition with Pareto-adaptiveWeight Vectors". In Proceedings of the 7th International Conference on Natural Computation (ICNC), 2011

Yuan Liu, Jie Zhang and Quanyan Zhu, "Design of a Reputation System based on Dynamic Coalition Formation", In Proceedings of the Third International Conference on Social Informatics (SocInfo), 2011

Lizi Zhang, Hui Fang, Wee Keong Ng and Jie Zhang, "IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation", In Proceedings of the 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2011

Joshua Gorner, Jie Zhang and Robin Cohen, "Improving the Use of Advisor Networks for Multi-Agent Trust Modelling", In Proceedings of the 9th Annual Conference on Privacy, Security and Trust (PST), 2011

John Champaign, Robin Cohen and Jie Zhang, "The Validation of an Annotations Approach to Peer Tutoring Through Simulation Incorporating the Modeling of Reputation", In Proceedings of the 19th International Conference on Computers in Education (ICCE) , 2011

Tuan-Anh Doan, Jie Zhang, William Chandra Tjhi and Bu Sung Lee, "Analyzing Students' Usage of E-Learning Systems in the Cloud for Course Management", In Proceedings of the 19th International Conference on Computers in Education (ICCE) , 2011

Hui Fang, Qinghua Zhu and Jie Zhang, "An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context", In Proceedings of the 25th International Conference on Advanced Information Networking and Applications (AINA) , 2011

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

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann, "Aligning Subjective User Feedback for Reputation Computation in Virtual Reality", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP), 2011 (poster paper, 3 pages)

Jie Zhang, Robin Cohen and Kate Larson, "Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces", In Proceedings of the IFIP WG 11.11 International Conference on Trust Management, 2010

Chen Chen, Jie Zhang, Robin Cohen and Pin-Han Ho, "A Trust Modeling Framework for Message Propagation and Evaluation in VANETs", In Proceedings of the International Conference on Information Technology Convergence and Services (ITCS), 2010 (Best Paper Award)

Aaditeshwar Seth, Jie Zhang and Robin Cohen, "Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization, 2010 (20% of acceptance)

Carol J Fung, Jie Zhang and Raouf Boutaba, "Effective Acquaintance Management for Collaborative Intrusion Detection Networks", In Proceedings of the 6th International Conference on Network and Service Management (CNSM) , 2010 (15% of acceptance) (Best Student Paper Award)

Jie Zhang, William Chandra Tjhi, Bu Sung Lee, Kee Khoon Lee, Julita Vassileva and Chee Kit LOOI, "A Framework of User-Driven Data Analytics in the Cloud for Course Management", In Proceedings of the 18th International Conference on Computers in Education (ICCE) , 2010

Julita Vassileva, Ralph Deters and Jie Zhang, "Mechanism Design on Coursework Grading to Create Incentives for Student Learning", In Proceedings of the 18th International Conference on Computers in Education (ICCE) , 2010

Yuan Wang, Jie Zhang, and Julita Vassileva, "SocConnect: Intelligent Social Networks Aggregator", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization, 2010 (poster paper)

Yao Wang, Jie Zhang and Julita Vassileva, "Effective Web Service Selection via Communities Formed by Super-Agents", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2010 (16.6% of acceptance)

Chong Long, Jie Zhang and Xiaoyan Zhu, "A Review Selection Approach for Accurate Feature Rating Estimation", In Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010

Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen, Junjie Xu and Peicheng Li, "Web Service Selection for Multiple Agents with Incomplete Preferences", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2010 (16.6% of acceptance)

Yuan Wang, Jie Zhang, and Julita Vassileva, "Towards Effective Recommendation of Social Data across Social Networking Sites", In Proceedings of the 14th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA), 2010

Chen Chen, Jie Zhang, Robin Cohen and Pin-Han Ho, "Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-hoc Networks", In Proceedings of the IEEE 72nd Vehicular Technology Conference, 2010

Umar Farooq Minhas, Jie Zhang, Thomas Tran and Robin Cohen, "Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty", In Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), 2010

Yuan Wang, Jie Zhang, and Julita Vassileva, "A User-Centric Approach for Social Data Integration and Recommendation", In Proceedings of the International Conference on Human-centric Computing, 2010

Chen Chen, Jie Zhang, Robin Cohen and Pin-Han Ho, "A Trust-based Message Propagation and Evaluation Framework in VANETs", In Proceedings of the IFIP WG 11.11 International Conference on Trust Management, 2010

Yao Wang, Jie Zhang and Julita Vassileva, "Super-Agent Based Reputation Management with a Practical Reward Mechanism in Decentralized Systems", In Proceedings of the IFIP WG 11.11 International Conference on Trust Management, 2010

Carol J Fung, Jie Zhang, Issam Aib and Raouf Boutaba, "Robust and Scalable Trust Management for Collaborative Intrusion Detection", In Proceedings of the Eleventh IFIP/IEEE International Symposium on Integrated Network Management (IM), 2009 (Best Paper Award)

Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li and Bin Ma, "Specialized Review Selection for Feature Rating Estimation", In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2009 (16% of acceptance)

Carol J Fung, Jie Zhang, Issam Aib, Raouf Boutaba and Robin Cohen, "Design of a Simulation Framework to Evaluate Trust Models for Collaborative Intrusion Detection", In Proceedings of the International Conference on Network and Service Security (N2S), 2009

Jie Zhang and Robin Cohen, "Seller Bidding in a Trust-based Incentive Mechanism for Dynamic E-marketplaces", In Proceedings of the Canadian Conference on Artificial Intelligence (CAI), 2008

Jie Zhang, Murat Sensoy, Robin Cohen, "A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems", In Proceedings of Sixth Annual Conference on Privacy, Security and Trust (PST) , 2008 (12 pages)

Aaditeshwar Seth and Jie Zhang, "A Social Network Based Approach to Personalized Recommendation of Participatory Media Content", In Proceedings of the International Conference on Weblogs and Social Media (ICWSM), 2008

Jie Zhang and Robin Cohen, "Design of a Mechanism for Promoting Honesty in E-Marketplaces", In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI); July 2007 (one of the top 5% papers that have been slated for additional poster presentation)

Jie Zhang and Robin Cohen, "An Incentive Mechanism for Eliciting Fair Ratings of Sellers in E-Marketplaces", In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) , 2007

Jie Zhang and Ali A. Ghorbani, "GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems", In Proceedings of the Conference on Communication Networks & Services Research (CNSR 2007), May 14-17, 2007 Fredericton, Canada.

Jie Zhang, Ali A. Ghorbani and Robin Cohen, "An Improved Familiarity Measurement for Formalization of Trust in E-commerce Based Multiagent Systems", In Proceedings of the Conference on Privacy, Security and Trust (PST'06), 2006 Ontario, Canada. (one of the 6 papers that have been recommended for journal publications)

Jie Zhang and Robin Cohen, "Trusting Advice from Other Buyers in E-Marketplaces: The Problem of Unfair Ratings", In Proceedings of the Eighth International Conference on Electronic Commerce (ICEC'06), New Brunswick, Canada, 2006. (one of the 6 papers that have been recommended for journal publications)

Jie Zhang and Ali A. Ghorbani, "Value-Centric Trust Model with Improved Familiarity Measurement", In Proceddings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI05), Edinburgh, Scotland, UK, 2005.

Mehran Nadjarbashi-Noghani, Jie Zhang, Hossein Sadat and Ali A. Ghorbani, "PENS: A Personalized Electronic News System", In Proceedings of Conference on Communication Networks & Services Research(CNSR 2005), 2005 Halifax, Canada.

Jie Zhang and Ali A. Ghorbani, "Familiarity and Trust: Measuring Familiarity with a Web Site", Proceedings of the Conference on Privacy, Security and Trust (PST'04), October 13-15, 2004 Fredericton, Canada.

Jie Zhang and Ali A. Ghorbani, "The Reconstruction of User Sessions from a Server Log Using Improved Time-oriented Heuristics", Proc. of the Conference on Communication Networks & Services Research (CNSR 2004), May 19-21, 2004 Fredericton, Canada.

M. Kilfoil, A. Ghorbani, W. Xing, Z. Lei, J. Lu, J. Zhang and X. Xu, "Toward an Adaptive Web: The State of the Art and Science", Proc. of the Conference on Communication Networks & Services Research (CNSR 2003), pp. 119-130, May 15-16, 2003 Moncton, Canada.

 

 
Edited Collections

Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso di Noia, Justin Basilico, Luiz Pizzato and Yang Song. (2023). Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), Singapore, September 18 - 22, Association for Computing Machinery, New York, United States. ISBN: 979-8-4007-0241-9

Tanja Mitrovic, Jie Zhang, Li Chen and David Chin. (2018). Proceedings of the 26th ACM Conference on User Modeling, Adaptation and Personalization (UMAP), Singapore, July 8-11. Association for Computing Machinery, New York, United States. ISBN: 978-1-4503-5589-6

Ali A. Ghorbani, Vicenc Torra, Huseyin Hisil, Ali Miri, Ahmet Koltuksuz, Jie Zhang, Murat Sensoy, Joaquin Garcia-Alfaro, Ibrahim Zincir, 13th Annual Conference on Privacy, Security and Trust, PST 2015, Izmir, Turkey, July 21-23, 2015. IEEE 2015, ISBN 978-1-4673-7828-4

Jie Zhang, Zeinab Noorian, Stephen Marsh and Christian Jensen (Eds.) AAAI Press Technical Reports and a Summary Report at AI Magazine for the 4th Workshop on Incentives and Trust in E-Communities (WIT-EC'15), in associateion with the 29th AAAI Conference on Artificial Intelligence (AAAI), January 25-29, 2015, Austin Texas, USA.

Jianying Zhou, Nurit Gal-Oz, Jie Zhang and Ehud Gudes (Eds.) Proceedings of the 8th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), Singapore, July 7-10, 2014

Stephen Marsh, Jie Zhang, Christian Jensen and Zeinab Noorian (Eds.) Technical Reports of the Third Workshop on Incentives and Trust in E-Communities (WIT-EC'14), in associateion with the 28rd AAAI Conference on Artificial Intelligence (AAAI), Qubec City, Qubec, Canada, July 27, 2014.

Jordi Castella-Roca, Josep Domingo-Ferrer, Joaquin Garcia-Alfaro, Ali A. Ghorbani, Christian D. Jensen, Jesus A. Manjon, Iosif-Viorel Onut, Natalia Stakhanova, Vicenc Torra, Jie Zhang (Eds.): Eleventh Annual International Conference on Privacy, Security and Trust, PST 2013, 10-12 July, 2013, Tarragona, Catalonia, Spain, July 10-12, 2013. IEEE 2013 ISBN 978-1-4673-5839-2

Stephen Marsh, Jie Zhang and Christian Jensen (Eds.) Technical Reports of the Second Workshop on Incentives and Trust in E-Commerce (WIT-EC'13), in associateion with the 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, August 5, 2013.

Surya Nepal, Cecile Paris, Julita Vassileva and Jie Zhang (Eds.) Extended Proceedings of Workshop on "Trust, Reputation and User Modeling", workshop held in conjunction with the 21st International Conference on User Modeling, Adaptation and Personalization (UMAP), Rome, Italy, June 2013.

Julita Vassileva and Jie Zhang (Eds.) Proceedings of Workshop on "Trust, Reputation and User Modeling", workshop held in conjunction with the International Conference on User Modeling, Adaptation and Personalization (UMAP), Montreal, Canada, July 2012.

Stephen Marsh, Jie Zhang and Christian Jensen (Eds.) Technical Reports of the First Workshop on Incentives and Trust in E-Commerce (WIT-EC'12), in associateion with the 13th ACM Conference on Electronic Commerce (EC'12), Valencia, Spain, June 2012.

Julita Vassileva and Jie Zhang (Eds.) Technical Reports of Workshop on "Trust, Reputation and User Modeling", workshop held in conjunction with the International Conference on User Modeling, Adaptation and Personalization (UMAP), 2011.

Malek Ben Salem, Bu-Sung Lee, Francis and Jie Zhang (Eds.) Journal of Internet Services and Information Security (JISIS) Special Issue on Cloud Computing, 1(1), 2011.

 

 
Workshop Publications

Zehong Hu, Yang Liu, Yitao Liang and Jie Zhang, A Reinforcement Learning Framework for Eliciting High Quality Information, NIPS workshop on Machine Learning in the Presence of Strategic Behavior, 2017

Tim Muller, Jie Zhang and Yang Liu, "A Language for Trust Modelling", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies (TRUST), 2016

Qikun Xiang, Ido Nevat, Pengfei Zhang and Jie Zhang, "Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies (TRUST), 2016

Madhavan Seshadri, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath, Multiagent Cooperative Routing: Aligning both Infrastructure and Vehicle Agents, In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on TRANSportation applications of Equilibrium, incentives and game Theory (TRANSET), 2016

Noel Sardana, Robin Cohen, Jie Zhang and John Champaign, "Credibility-Based Trust in Social Networks", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies (TRUST), 2013

R. Cohen, N. Sardana, K. Rahim, D. Y. Lam, M. Li, O. Maccarthy, E. Woo, J. Zhang and G. Guo, "Recommending messages to users in social networks: a cross-site study", In Proceedings of the 12th International Conference on Machine Learning and Applications (ICMLA) Workshop on Big Data and Data Analytics Applications, 2013

John Finnson, Robin Cohen, Jie Zhang, Thomas Tran and Umar Farooq Minhas, "Reasoning about User Trustworthiness with Non-Binary Advice from Peers", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP) Workshop on Trust, Reputation and User Modeling, 2012

Hui Fang, Jie Zhang, Murat Sensoy and Nadia Magnenat Thalmann, "A Subjectivity Alignment Approach for Effective Reputation Computation", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies, 2012

Frans Oliehoek, Ashwini Gokhale and Jie Zhang, "Reasoning about Advisors for Seller Selection in E-Marketplaces via POMDPs", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies, 2012

Yuan Liu, Qin Li and Jie Zhang, "Coalition Formation Game Based Reputation System", In Proceedings of the 13th ACM Conference on Electronic Commerce (EC) Workshop on Incentives and Trust in E-Commerce (WIT-EC), 2012

Athirai Aravazhi Irissappane, Siwei Jiang and Jie Zhang, "Towards a Comprehensive Testbed to Evaluate the Robustness of Reputation Systems against Unfair Rating Attacks", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP) Workshop on Trust, Reputation and User Modeling, 2012

Hui Fang, Murat Sensoy, Jie Zhang and Nadia Magnenat Thalmann, "Handling Subjective User Feedback for Reputation Computation in Virtual Reality", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP) Workshop on Trust, Reputation and User Modeling, 2011

Lizi Zhang, Cheun Pin Tan, Siyi Li, Hui Fang, Pramodh Rai, Yao Chen, Luthra Rohit, Wee Keong Ng and Jie Zhang, "The Influence of Interaction Attributes on Trust in Virtual Communities", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP) Workshop on Trust, Reputation and User Modeling, 2011

Hui Fang, Murat Sensoy, Jie Zhang and Nadia Magnenat Thalmann, "Design of a Reputation Mechanism for Virtual Reality: A Case for E-Commerce", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies, 2011

Tuan-Anh Doan, Jie Zhang, Vijayaraghava Seshadri Sundararajan, Lee Bu Sung, Francis, "Large Scale Log Data Analytics through Cloud: A Case Study in Education". The Joint HPLS . IHPC Data Analytics Workshop: Beyond Awareness of Data Analytics, 19th April 2011 (Poster)

Yuan Wang, Jie Zhang, and Julita Vassileva, "Personalized Recommendation of Integrated Social Data across Social Networking Sites", In Proceedings of the International Conference on User Modeling, Adaptation and Personalization (UMAP) Workshop on Adaptation in Social and Semantic Web, 2010

Umar Farooq Minhas, Jie Zhang, Thomas Tran and Robin Cohen, "Promoting Effective Exchanges Between Vehicular Agents in Traffic Through Transportation-Oriented Trust Modeling", In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Agents in Traffic and Transportation, 2010

Yuan Wang, Jie Zhang, and Julita Vassileva, "SoCConnect: A User-Centric Approach for Social Networking Sites Integration", In Proceedings of the International Conference on Intelligent User Interfaces (IUI) Workshop on User Data Interoperability in the Social Web, 2010

Carol J Fung, Olga Baysal, Jie Zhang, Issam Aib, and Raouf Boutaba, "Trust Management for Host-based Collaborative Intrusion Detection", In Proceedings of 19th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management (DSOM) , 2008 (12 pages)

Jie Zhang, Kate Larson and Robin Cohen, "Theoretical Validation and Extended Experimental Support for a Trust-Based Incentive Mechanism for E-Marketplaces", In Proceddings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Workshop on Trust in Agent Societies, 2008.

Aaditeshwar Seth, Jie Zhang and Robin Cohen, "A Multi-Disciplinary Approach for Recommending Weblog Messages", In Proceddings of the Conference in Artificial Intelligence (AAAI) Workshop on Enhanced Messaging, 2008

Aaditeshwar Seth, Jie Zhang and Robin Cohen, "A Subjective Credibility Model for Participatory Media", In Proceddings of the Conference in Artificial Intelligence (AAAI) Workshop on on Intelligent Techniques for Web Personalization and Recommender Systems, 2008

Jie Zhang, Robin Cohen and Kate Larson, "A Trust-based Incentive Mechanism for E-Marketplaces", Lecture Notes in Computer Science, Revised and Selected Papers from the 11th International Workshop on Trust in Agent Societies (TRUST), Rino Falcone, Suzanne K. Barber, Jordi Sabater-Mir and Munindar P. Singh (Eds.), Volume 5396/2008, pp. 135-161, 2008

Jie Zhang, "An Incentive Mechanism for Eliciting Fair Ratings of Sellers in E-Marketplaces", In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) Doctoral Mentoring Program , 2007

Jie Zhang, "An Incentive Mechanism for Promoting Honesty in E-Marketplaces", In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI) Doctoral Consortium; July 2007

Jie Zhang and Robin Cohen, "Towards More Effective E-Marketplaces: A Novel Incentive Mechanism", In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'07) Workshop on Trust in Agent Societies, 2007

Jie Zhang and Robin Cohen, "Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings", In Proceedings of the AAAI'07 Spring Symposium on Interaction Challenges for Artificial Assistants, 2007

Jie Zhang and Robin Cohen, "A Personalized Approach to Address Unfair Ratings in Multiagent Reputation Systems", Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'06) Workshop on Trust in Agent Societies, Hakodate, Japan, 2006.

Jie Zhang and Robin Cohen, "A Trust Model for Sharing Ratings of Information Providers on the Semantic Web", Canadian Semantic Web. Semantic Web and Beyond: Computing for Human Experience, Springer, 2006, pp. 45-61. (Best Paper Award)

Jie Zhang and Ali A. Ghorbani, "Increasing Stability of Value-Centric Trust Model through Improved Familiarity Measurement", Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'05) Workshop on Trust in Agent Societies, Utrecht, the Netherlands, 2005.

 

 
Theses

PhD: Promoting Honesty in E-Marketplaces: Combining Trust Modeling and Incentive Mechanism Design (177 pages)
Supervisor: Professor Robin Cohen
External Committee Member: Professor Munindar P. Singh

Master's: GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems (121 pages)
Supervisor: Professor Ali A. Ghorbani
External Committee Member: Dr. Steve Marsh

Bachelor: Parallel Monte Carlo Approach for Option Pricing (64 pages)
Supervisor: Professor Virendra Bhavsar and Professor Viqar Husain

Selected List of Publications