1、个人基本信息：

姓名：尹波

性别：女

出生年月：1983年9月

技术职称：副教授

毕业院校：湖南大学

学历（学位）：博士

所在学科：计算机科学与技术

研究方向：大数据管理和分析、区块链系统、数据治理

联系方式：yinbo@csust.edu.cn

2、教育背景：

2001.9-2005.6

湖南大学

工学学士

2005.9-2008.6

湖南大学

工学硕士

2008.9-2013.10

湖南大学

工学博士

3、目前研究领域：

大数据管理和分析、区块链系统、数据治理

4、已完成或已在承担的主要课题：

[1]国家重点研发计划青年科学家项目，2021YFF0900300，基于联盟链NFT技术的文化产品产权价值评

估与确权标识应用研究，2021/12-2024/12，主要研究人员（排名第2）

[2]湖南省自然科学基金面上项目，2021JJ30741，众包环境下基于承接者的协作式任务分配机制研究，2021/01-2023/09，主持

[3]国家自然科学基金青年项目，61902040，众包环境下面向部分序属性域的低费用质量可控的Pareto查询机制研究，2020/01-2022/12，主持

[4]湖南省教育厅优秀青年项目，20B15，向众包服务的偏序集数据Skyline 查询处理研究，主持

[5]湖南省自然科学基金青年项目，216JJ3012，近似Skyline查询处理研究，2016/01-2018/12，主持

5、已发表的学术论文：

[1]Bo Yin, Weilong Zeng, Xuetao Wei. Efficient crowdsourced best objects finding viasuperiority probability based ordering for decision support systems. Expert Systems with Applications,2023.DOI: 10.1016/j.eswa.2023.119893 (SCI一区)

[2]Ke Mu,Bo Yin, Alia Asheralieva, Xuetao Wei. Separation is Good: A Faster Order-Fairness Byzantine Consensus. In Proceedings ofthe Network and Distributed System Security Symposium (NDSS), 2024. (CCF A)

[3]Bo Yin, Weilong Zeng, Peng Zhang, Xuetao Wei. EAQ: Enabling Authenticated Complex Query Services in Sustainable-Storage Blockchain. IEEE Transactions on Sustainable Computing, 2023，8(3):435-447(SCI二区)

[4]Bo Yin, Jiaqi L, Yiyuan She, Xuetao Wei. Reducing Storage Requirement in Blockchain via Node-Oriented Block Placement. IEEE Transactions on Network Science and Engineering,2023. DOI: 10.1109/TNSE.2023.3289141 (SCI三区)

[5]Bo Yin, Yihu Liu, Binyao Xu. TTAF: A two-tier task assignment framework for cooperative unit-based crowdsourcing systems. Journal of Network and Computer Applications, 2023,p.103719. DOI: 10.1016/j.jnca.2023.103719 (SCI二区)

[6]Bo Yin, Peng Zhang, Bin-Yao Xu. Crowd-enabled multiple pareto-optimal queries for multi-criteria decision-making services. Future Generation Computer Systems,2023,148:342-356. DOI:10.1016/j.future.2023.06.007 (SCI二区)

[7]Bo Yin, Jiaqi Li, Xuetao Wei. EBSF: Node characteristics based block allocation plans for efficient blockchain storage. IEEE Transactions on Network and Service Management,2022, 19(4):4858-4871. (SCI二区)

[8]Bo Yin,Xuetao Wei. Efficient crowdsourced pareto-optimal queries over partial orders with quality guarantee. IEEE Transactions on Emerging Topics in Computing.2022, 10(1):297-311. (SCI 二区)

[9]Bo Yin, Weilong Zeng, Xuetao Wei. Cost-effective crowdsourced join queries for entity resolution without prior knowledge. Future Generation Computer Systems, 2022, 127: 240-251. (SCI 二区)

[10]Bo Yin,Jiazhuang Lu. A cost-efficient framework for crowdsourced data collection in vehicular networks. IEEE Internet of Things Journal, 2021, 8(17): 13567-13581.(SCI 一区)

[11]Bo Yin, Jun Lu, Xuetao Wei. Correlation-based task processing plans in crowdsensing platforms. IEEE Transactions on Network Science and Engineering, 2021, 8(2): 1542-1556.(SCI 二区)

[12]Bo Yin, Jiaqi Li, Xuetao Wei. Rational task assignment and path planning based on location and task characteristics in mobile crowdsensing. IEEE Transactions on Computational Social Systems, 2021, 9(3): 781-793. (SCI二区)

[13]Bo Yin, Xuetao Wei, Jin Wang, Naixue Xiong, Ke Gu. An industrial dynamic skyline based similarity joins for multi-dimensional big data applications. IEEE Transactions on Industrial Informatics, 2020,16(4):2520-2532. (SCI一区)

[14]Bo Yin, Xuetao Wei. Communication-efficient data aggregation tree construction for complex queries in IoT applications. IEEE Internet of Things Journal, 2019, 6(12):3352-3363. (SCI 一区)

[15]Bo Yin, Xuetao Wei, Yonghe Liu. Finding the informative and concise set through approximate skyline queries. Expert Systems with Applications. 2019,119: 289-310 (SCI 二区)

[16]Bo Yin, Ke Gu, Xuetao Wei, Siwang Zhou, Yonghe Liu. A cost-efficient framework for finding prospective customers based on reverse skyline queries. Knowledge-Based Systems, 2018,152:117-135 (SCI 二区)