刘园
教师姓名：刘园
教师英文名称：Yuan Liu
教师拼音名称：liuyuan
出生日期：1986-10-24
电子邮箱：
入职时间：2015-09-23
学历：博士研究生毕业
办公地点：浑南校区B座447办公室
性别：女
联系方式：liuyuan@swc.neu.edu.cn
学位：博士
职称：副教授
在职信息：在职
毕业院校：新加坡南洋理工大学
所属院系：软件学院
学科：
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科学研究
研究领域
区块链的机器学习
区块链信誉系统
区块链的隐私保护
区块链的人工智能物联网
信誉系统中虚假评价和水军问题
详细信息请访问研究组网站：blockchain-neu.com
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论文成果
- Yuan Liu, Mengmeng Tian, Yuxin Chen, Zehui Xiong, Chunyan Miao. A Contract Theory based Incentive Mechanism for Federated Learing. International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI 2021 (FTL-IJCAI 2021). Best Student Paper .
- Ke Lv, Yuan Liu, Jienan Chen, Dongxia Wang, Zhihong Tian. An Interactive System for Unfair Rating Detection Models in a Customized Perspective. The 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2021). CCF-C .
- Yixiao Lan, Yuan Liu, Boyang Li, Chunyang Miao. Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo).The 35th AAAI Conference IEEE International Conference on Artificial Intelligence (AAAI 2021). Demo paper, CCF-A.
- Zhizhao Zhang, Tianzhi Yang, Yuan Liu. SABlockFL: A Blockchain-based Smart Agent System Architecture and Its Application in Federated Learning. International Journal of Crowd Science, 2020 .
- Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou. A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack (Extended Abstract). The 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). CCF-B .
专利
著作成果
- Yuan Liu, Shuangfeng Zhang, Xingren Chen. Blockchain Security Analysis: A POMDP-Based Approach for Analyzing Blockchain System Security Against the Long Delay Attack. Eliva Press. 2020, ISBN: 978-1952751332
- Yuan Liu, Zhengpeng Ai, Shuai Sun, Zelei Liu, Han Yu. FedCoin: A Peer-to-Peer Payment System for Federated Learning. In Book: Yang Q., Fan L., Yu H. (eds) Federated Learning. Lecture Notes in Computer Science, vol 12500. Springer, Cham. https://doi.org/10.1007/978-3-030-63076-8_9
