%% Blockchain Consensus 区块链共识激励算法 @Article{LiuYuan2021aPoleComputerNet, author = {Liu, Yuan and Lan, Yixiao and Li, Boyang and Miao, Chunyan and Tian, Zhihong}, journal = {Computer Networks}, title = {Proof of Learning (PoLe): Empowering neural network training with consensus building on blockchains}, year = {2021}, volume = {201}, pages ={108594:1-10} } @InProceedings{LiuYuanAAAI2021PoLe, author = {Lan, Yixiao and Liu, Yuan and Li, Boyang and Miao, Chunyan}, booktitle = {Proceeding of 35th AAAI Conference on Artificial Intelligence}, title = {Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo)}, year = {2021}, pages = {16063--16066} } @InProceedings{LiuYuan2019PoR, author = {Zhuang, Qianwei and Liu, Yuan and Chen, Lisi and Ai, Zhengpeng}, title = {Proof of reputation: A reputation-based consensus protocol for blockchain based systems}, year = {2019}, pages = {131 -- 138}, booktitle = {Proceedings of International Electronics Communication Conference {(IECC)}} } @InProceedings{LiuYuanAi2020ABC, author = {Ai, Zhengpeng and Liu, Yuan and Wang, Xingwei}, booktitle = {Proceedings of 26th IEEE International Conference on Parallel and Distributed Systems {(ICPADS)}}, title = {{ABC}: An Auction-Based Blockchain Consensus-Incentive Mechanism}, year = {2020}, pages = {609--616} } @InProceedings{LiuYuan2020DSBFT, author = {Liu, Yuan and Ai, Zhengpeng and Tian, Mengmeng and Guo, Guibing and Jiang, Linying}, booktitle = {Proceedings of 20th International Conference on Algorithms and Architectures for Parallel Processing {(ICA3PP)}}, title = {{DSBFT}: A Delegation Based Scalable Byzantine False Tolerance Consensus Mechanism}, year = {2020}, pages = {426--440} } %% Blockchain Appliction 区块链应用 @Article{LiuYuanChen2022FileWallet, author = {Chen, Jienan and Zhang, Chuang and Yan, Yu and Liu, Yuan}, journal = {Computer Modeling in Engineering and Sciences}, title = {FileWallet: A File Management System Based on IPFS and Hyperledger Fabric}, year = {2022}, number = {2}, pages = {949--966}, volume = {130} } @Article{LiuYuanMin2022AssetBlockchain, author = {Min, Xinping and Kong, Lanju and Li, Qingzhong and Liu, Yuan and Zhang, Baochen and Zhao, Yongguang and Xiao, Zongshui and Guo, Bin}, journal = {Computer Networks}, title = {Blockchain-native mechanism supporting the circulation of complex physical assets}, year = {2022}, volume = {202}, number = {108588}, pages ={1--12} } @InProceedings{LiuYuanYang2019, author = {Yang, Tianzhi and Liu, Yuan and Yang, Xiaodan and Kang, Yilin}, title = {A Smart Agent based Blockchain Applicaiton Architecture}, year = {2019}, pages = {33 - 39}, booktitle = {Proceedings of 4th International Conference on Crowd Science and Engineering {(ICCSE)}} } @InProceedings{LiuYuan2017IDblockchain, author = {Liu, Yuan and Zhao, Zheng and Guo, Guibing and Wang, Xingwei and Tan, Zhenhua and Wang, Shuang}, booktitle = {Proceedings of 15th Annual Conference on Privacy, Security and Trust {(PST)}}, title = {An Identity Management System Based on Blockchain}, year = {2017}, pages = {44--53} } @InProceedings{LiuYuanZhao2019IdentityBlockchain, author = {Zhao, Zheng and Liu, Yuan}, title = {A Blockchain based Identity Management System Considering Reputation}, year = {2019}, pages = {32 -- 36}, booktitle = {Proceedings of 2nd International Conference on Information Systems and Computer Aided Education {(ICISCAE)}} } %% Blockchain Federated Learning 区块链联邦学习 @incollection{LiuYuanFedCoin2020, author = {Yuan Liu and Zhengpeng Ai and Shuai Sun and Shuangfeng Zhang and Zelei Liu and Han Yu}, title = {FedCoin: {A} Peer-to-Peer Payment System for Federated Learning}, booktitle = {Federated Learning - Privacy and Incentive}, volume = {12500}, pages = {125--138}, year = {2020} } @Article{LiuYuanZhang2020a, author = {Zhizhao Zhang and Tianzhi Yang and Yuan Liu}, journal = {International Journal of Crowd Science}, title = {{SABlockFL}: A Blockchain-based Smart Agent System Architecture and Its Application in Federated Learning}, year = {2020}, number = {2}, pages = {133--147}, volume = {4} } %% blockchain security 区块链安全 @InProceedings{LiuYuanZhang2020b, author = {Zhang, Shuangfeng and Liu, Yuan and Chen, Xingren and Zhou, Xin}, title = {A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack}, year = {2020}, pages = {2074 -- 2076}, booktitle = {Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems {(AAMAS)}} } @InProceedings{LiuYuanZhang2020BIT, author = {Zhang, Shuangfeng and Liu, Yuan and Chen, Xingren}, booktitle = {Proceeding of Blockchain and Trustworthy Systems {(BLOCKSYS)}}, title = {BIT Problem: Is There a Trade-off in the Performances of Blockchain Systems?}, year = {2020}, pages = {123--136} } %% Incentive Mechanism 激励机制 @InProceedings{LiuYuan2013RobustnessAAMAS, author = {Liu, Yuan and Zhang, Jie}, title = {Robustness Evaluation of Incentive Mechanisms}, year = {2013}, pages = {1293 -- 1294}, booktitle = {12th International Conference on Autonomous Agents and Multiagent Systems {(AAMAS)}} } @InProceedings{LiuYuan2012IncentiveM, author = {Liu, Yuan and Zhang, Jie and Li, Qin}, title = {An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory}, year = {2012}, pages = {209 -- 216}, booktitle = {Proceedings of IFIP Advances in Information and Communication Technology} } @InProceedings{LiuYuan2012aIncentiveM, author = {Liu, Yuan and Zhang, Jie and Li, Qin}, title = {Design of An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory}, year = {2012}, pages = {54 -- 61}, booktitle = {Proceedings of International Conference on Electronic Commerce {(ICEC)}} } @InProceedings{LiuYuan2013aTowards, author = {Liu, Yuan}, title = {Towards the design of a robust incentive mechanism for e-marketplaces with limited inventory}, year = {2013}, pages = {1441 -- 1442}, booktitle = {Proceedings of 12th International Conference on Autonomous Agents and Multiagent Systems} } @Article{LiuYuan2014IncentiveLimitedInventory, author = {Liu, Yuan and Zhang, Jie}, journal = {Electronic Commerce Research and Applications}, title = {An incentive mechanism designed for e-marketplaces with limited inventory}, year = {2014}, number = {2}, pages = {110--127}, volume = {13} } @InProceedings{LiuYuan2014cDoubleAuction, author = {Liu, Yuan and Zhang, Jie and Yu, Han and Miao, Chunyan}, booktitle = {Proceedings of 28th AAAI Conference on Artificial Intelligence}, title = {Reputation-Aware Continuous Double Auction}, year = {2014}, pages = {3126--3127} } @Article{LiuYuan2016SimulationRobustness, author = {Liu, Yuan and Zhang, Jie and An, Bo and Sen, Sandip}, journal = {Autonomous Agents and Multi-agent Systems}, title = {A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems}, year = {2016}, number = {4}, pages = {581--600}, volume = {30} } @InProceedings{LiuYuan2015IncentiveCrowdsourcing, author = {Liu, Siyuan and Miao, Chunyan and Liu, Yuan and Yu, Han and Zhang, Jie and Leung, Cyril}, booktitle = {Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology {(WI-IAT)}}, title = {An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks}, year = {2015}, pages = {96--103} } @InProceedings{LiuYuanNoorian2014SocialTrust, author = {Noorian, Zeinab and Mohkami, Mohsen and Liu, Yuan and Fang, Hui and Vassileva, Julita and Zhang, Jie}, booktitle = {Proceedings of {IEEE/WIC/ACM} International Joint Conferences on Web Intelligence and Intelligent Agent Technologies {(WI-IAT)}}, title = {{SocialTrust}: Adaptive Trust Oriented Incentive Mechanism for Social Commerce}, year = {2014}, pages = {250-257} } %%% blockchain reputation 区块链信誉系统 @InProceedings{LiuYuanSun2019PrivacyRep, author = {Sun, Shuai and Liu, Yuan and Guo, Guibing}, booktitle = {Proceedings of IEEE International Symposium on Parallel and Distributed Processing with Applications}, title = {A Privacy-Preserving and Robust Reputation System based on Blockchain}, year = {2019}, pages = {634--639} } %% Reputation System 信誉系统 @Article{LiuYuan20213Rtrust, author = {Liu, Yuan and Zhou, Xin and Yu, Han}, journal = {Knowledge-based Systems}, title = {{3R} model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce}, year = {2021}, volume = {231}, number = {107441}, pages={1--11} } @InProceedings{LiuYuanBai2019RepReputation, author = {Bai, Jin and Liu, Yuan}, title = {A Reputation Model Considering Buyer Subjectivity and Product Return Behavior}, year = {2019}, pages = {26 -- 31}, booktitle = {Proceedings of 2nd International Conference on Information Systems and Computer Aided Education {(ICISCAE)}} } @InProceedings{LiuYuan2017cRepurchase, author = {Liu, Yuan and Bai, Jin and Guo, Guibing and Wang, Xingwei and Tan, Zhenhua}, title = {A reputation model considering repurchase behavior and mechanism design to promote repurchase}, year = {2017}, pages = {256 -- 268}, journal = {Proceedings of 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage {(SpaCCS)}} } @InProceedings{LiuYuan2017aBetaRep, author = {Liu, Yuan and Chitawa, Usman Shittu and Guo, Guibing and Wang, Xingwei and Tan, Zhenhua and Wang, Shuang}, booktitle = {Proceedings of 2nd International Conference on Crowd Science and Engineering {(ICCSE)}}, title = {A Reputation Model for Aggregating Ratings based on Beta Distribution Function}, year = {2017}, pages = {77--81} } @Article{LiuYuan2017bCongress, author = {Liu, Yuan and Zhang, Jie and Zhu, Quanyan and Wang, Xingwei}, journal = {IEEE Transactions on Computational Social Systems}, title = {{CONGRESS}: A Hybrid Reputation System for Coping with Rating Subjectivity}, year = {2017}, number = {3}, pages = {163 -- 178}, volume = {4} } @InProceedings{LiuYuan2015aMisreport, author = {Liu, Siyuan and Miao, Chunyan and Liu, Yuan and Fang, Hui and Yu, Han and Zhang, Jie and Chai, Yueting and Leung, Cyril}, title = {A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings}, year = {2015}, booktitle = {Proceedings of International Conference on Electronic Commerce {(ICEC)}}, pages ={1--8} } @InProceedings{LiuYuan2014bRepRev, author = {Liu, Yuan and Liu, Siyuan and Fang, Hui and Zhang, Jie and Yu, Han and Miao, Chunyan}, booktitle = {Proceedings of 28th AAAI Conference on Artificial Intelligence}, title = {RepRev: Mitigating the Negative Effects of Misreported Ratings}, year = {2014}, pages = {3124--3125} } @InProceedings{LiuYuan2014aRobustnessMeasure, author = {Liu, Yuan and Zhang, Jie and An, Bo and Sen, Sandip}, booktitle = {Proceedings of International Conference on Autonomous Agents and Multiagent Systems {(AAMAS)}}, title = {A Practical Robustness Measure of Incentive Mechanisms}, year = {2014}, pages = {1379--1380} } @InProceedings{LiuYuan2011RepCoaltion, author = {Liu, Yuan and Zhang, Jie and Zhu, Quanyan}, booktitle = {Proceedings of 3rd International Conference on Social Informatics}, title = {Design of a Reputation System Based on Dynamic Coalition Formation}, year = {2011}, pages = {135--144} } @Article{LiuYuanNoorian2014aTrust, author = {Noorian, Zeinab and Zhang, Jie and Liu, Yuan and Marsh, Stephen and Fleming, Michael}, journal = {Autonomous Agents and Multi-agent Systems}, title = {Trust-oriented buyer strategies for seller reporting and selection in competitive electronic marketplaces}, year = {2014}, number = {6}, pages = {896--933} } @InProceedings{LiuYuanDeng2017SemiLearning, author = {Deng, Huaxun and Zhao, Linfeng and Luo, Ning and Liu, Yuan and Guo, Guibing and Wang, Xingwei and Tan, Zhenhua and Wang, Shuang and Zhou, Fucai}, booktitle = {Proceedings of 15th IEEE International Symposium on Parallel and Distributed Processing with Applications {(ISPA)}}, title = {Semi-supervised Learning based Fake Review Detection}, year = {2017}, pages = {1278--1280} } @InProceedings{LiuYuanLuo2017Review, author = {Luo, Ning and Deng, Huaxun and Zhao, Linfeng and Liu, Yuan and Wang, Xingwei and Tan, Zhenhua}, booktitle = {Proceedings of 4th International Conference on Information Science and Control Engineering {(ICISCE)}}, title = {Multi-aspect Feature based Neural Network Model in Detecting Fake Reviews}, year = {2017}, pages = {475--479} } @InProceedings{LiuYuanTan2016Trust, author = {Tan, Zhenhua and Niu, Yicong and Liu, Yuan and Yang, Guangming}, booktitle = {Proceedings of 14th Annual International Conference on Privacy, Security and Trust {(PST)}}, title = {A Novel Trust Model Based on SLA and Behavior Evaluation for Clouds}, year = {2016}, pages = {581--587} } @InProceedings{LiuYuanWang2018Reputation, author = {Wang, Yufu and Liu, Yuan and Hu, Jinqiao and Zhang, Mingwei and Wang, Xingwei}, booktitle = {Proceedings of 14th International Conference on Mobile Ad-Hoc and Sensor Networks {(MSN)}}, title = {Reputation and incentive mechanism for SDN applications}, year = {2018}, pages = {152--157} } @Article{LiuYuanTan2016aECRModel, author = {Tan, Zhenhua and Ning, Jingyu and Liu, Yuan and Wang, Xingwei and Yang, Guangming and Yang, Wei}, journal = {{IEEE ACCESS}}, title = {{ECRModel}: An Elastic Collision-Based Rumor-Propagation Model in Online Social Networks}, year = {2016}, pages = {6105--6120}, volume = {4} } %% Privacy Protection 隐私保护 @Article{LiuYuanGuo2018Privacy, author = {Guo, Guibing and Yang, Tianzhi and Liu, Yuan}, journal = {{IEEE ACCESS}}, title = {Search Engine Based Proper Privacy Protection Scheme}, year = {2018}, pages = {78551--78558}, volume = {6} } %% recommendation system 推荐系统 @Article{LiuYuanZhai2021VSE, author = {Zhai, Songlin and Guo, Guibing and Yuan, Fajie and Liu, Yuan and Wang, Xingwei}, journal = {IEEE Intelligent Systems}, title = {{VSE-fs: Fast Full-Sample Visual Semantic Embedding}}, year = {2021}, number = {4}, pages = {3--12}, volume = {36} } @Article{LiuYuanZhou2020aRecommendation, author = {Zhou, Xin and Guo, Guibing and Sun, Zhu and Liu, Yuan}, journal = {Neurocomputing}, title = {Multi-facet user preference learning for fine-grained item recommendation}, year = {2020}, pages = {258--268}, volume = {385} } @InProceedings{LiuYuanZhou2020, author = {Zhou, Xin and Sun, Zhu and Guo, Guibing and Liu, Yuan}, booktitle = {Proceedings of 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining {(PAKDD)}}, title = {Modelling Temporal Dynamics and Repeated Behaviors for Recommendation}, year = {2020}, pages = {181--193} } @InProceedings{LiuYuanGuo2018aVSE, author = {Guo, Guibing and Zhai, Songlin and Yuan, Fajie and Liu, Yuan and Wang, Xingwei}, booktitle = {Proceedings of 32nd AAAI Conference on Artificial Intelligence}, title = {{VSE-ens}: Visual-Semantic Embeddings with Efficient Negative Sampling}, year = {2018}, pages = {290--297} } @Article{LiuYuanQu2020Recommendation, author = {Qu, Shilin and Guo, Guibing and Liu, Yuan and Yao, Yuan and Wei, Wei}, journal = {Knowledge-based Systems}, title = {Fast discrete factorization machine for personalized item recommendation}, year = {2020}, volume = {193}, number = {105470}, pages ={1--11} } @Article{LiuYuanGuo2017Recommender, author = {Guo, Guibing and Qiu, Huihuai and Tan, Zhenhua and Liu, Yuan and Ma, Jing and Wang, Xingwei}, journal = {Knowledge-based Systems}, title = {Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems}, year = {2017}, pages = {202--207}, volume = {138} } @InProceedings{LiuYuanWu2016WICuriosity, author = {Wu, Qiong and Liu, Siyuan and Miao, Chunyan and Liu, Yuan and Leung, Cyril}, booktitle = {Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence {(WI)}}, title = {A Social Curiosity Inspired Recommendation Model to Improve Precision, Coverage and Diversity}, year = {2016}, pages = {240--247} }