1、個(gè)人基本信息：

姓    名：尹波

性    別：女

出生年月：1983年9月

技術(shù)職稱：副教授

畢業(yè)院校：湖南大學(xué)

學(xué)歷（學(xué)位）：博士

所在學(xué)科：計(jì)算機(jī)科學(xué)與技術(shù)

研究方向：大數(shù)據(jù)管理和分析、區(qū)塊鏈系統(tǒng)、數(shù)據(jù)治理

聯(lián)系方式：yinbo@csust.edu.cn

2、教育背景：

2001.9-2005.6

湖南大學(xué)

工學(xué)學(xué)士

2005.9-2008.6

湖南大學(xué)

工學(xué)碩士

2008.9-2013.10

湖南大學(xué)

工學(xué)博士

3、目前研究領(lǐng)域：

大數(shù)據(jù)管理和分析、區(qū)塊鏈系統(tǒng)、數(shù)據(jù)治理

4、已完成或已在承擔(dān)的主要課題：

[1]國家重點(diǎn)研發(fā)計(jì)劃青年科學(xué)家項(xiàng)目，2021YFF0900300，基于聯(lián)盟鏈NFT技術(shù)的文化產(chǎn)品產(chǎn)權(quán)價(jià)值評

估與確權(quán)標(biāo)識應(yīng)用研究，2021/12-2024/12，主要研究人員（排名第2）

[2]湖南省自然科學(xué)基金面上項(xiàng)目，2021JJ30741，眾包環(huán)境下基于承接者的協(xié)作式任務(wù)分配機(jī)制研究，2021/01-2023/09，主持

[3]國家自然科學(xué)基金青年項(xiàng)目，61902040，眾包環(huán)境下面向部分序?qū)傩杂虻牡唾M(fèi)用質(zhì)量可控的Pareto查詢機(jī)制研究，2020/01-2022/12，主持

[4]湖南省教育廳優(yōu)秀青年項(xiàng)目，20B15，向眾包服務(wù)的偏序集數(shù)據(jù) Skyline 查詢處理研究，主持

[5]湖南省自然科學(xué)基金青年項(xiàng)目，216JJ3012，近似Skyline查詢處理研究，2016/01-2018/12，主持

5、已發(fā)表的學(xué)術(shù)論文：

[1]Bo Yin, Weilong Zeng, Xuetao Wei. Efficient crowdsourced best objects finding via superiority probability based ordering for decision support systems. Expert Systems with Applications,2023.DOI: 10.1016/j.eswa.2023.119893 (SCI一區(qū))

[2]Ke Mu, Bo Yin, Alia Asheralieva, Xuetao Wei. Separation is Good: A Faster Order-Fairness Byzantine Consensus. In Proceedings of the 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二區(qū))

[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三區(qū))

[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二區(qū))

[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二區(qū))

[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二區(qū))

[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 二區(qū))

[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 二區(qū))

[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 一區(qū))

[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 二區(qū))

[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 二區(qū))

[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一區(qū))

[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 一區(qū))

[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 二區(qū))

[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 二區(qū))