• 中文
  • |
  • English
  • |
工学院
首页 /首页 /师资力量 /教师名录 /计算机技术与科学 /正文

许建龙

职称:讲师


4ED5电子邮箱:xujianlong@stu.edu.cn


简介:

许建龙,博士(华南理工大学),博士后(香港中文大学深圳研究院),硕士生导师。主持项目包括目国家自然科学基金青年科学基金、广东省科技创新战略专项资金、广东省科技专项资金、广东省普通高校青年创新人才项目等。国家自然科学基金评审人,CCF会员,广东省计算机学会第十一届区块链专委会委员,曾任TSC、IJWSR、ICWS等重要期刊及会议审稿人,IEEE APSCC 2014、IEEE SCC 2015、CollaborateCom 2017、ICA3PP 2021等国际会议的PC Member,已在国内外期刊及会议发表论文30余篇,申请或授权国家发明专利10余项,登记软件著作权3项。


研究兴趣: 服务计算、数据挖掘、信息安全、区块链、物联网应用等

开设的主要课程:数据结构与算法、网络与信息安全、C语言程序设计。


主持的部分科研项目:

1. 国家自然科学基金青年科学基金项目(No. 61702318),“基于用户信誉度感知的Web服务在线个性化QoS预测方法研究”,2018-2020,主持,结题

2. 广东省普通高校青年创新人才项目(No. 2016KQNCX056), “高可信个性化云服务QoS预测方法研究”, 2017-2018, 主持,结题

3. 广东省大数据分析与处理重点实验室开放基金(No.2017008),“基于大数据分析的Web服务高可信QoS预测方法研究”,2017-2018,主持,结题

4. 广东省科技创新战略专项资金(纵向协同管理方向)项目 (No.190827215545730), “练江水质监测与治理技术的应用性开发”,2018.10-2020.09,共同主持,结题

5. 2018广东省科技专项资金(“大专项+任务清单”)项目(No. 2019ST043), “基于大数据的练江流域水质污染监测技术研究”, , 2019.10.01-2021.09.30,主持,结题

6. 2020李嘉诚基金会交叉研究项目(No. 2020LKSFG08D),“练江流域水质污染大数据分析及可视化技术研究”,2020.7.1- 2023.06.30, 主持,在研

7. 202l广东省科技专项资金(“大专项+任务清单” )项目(No.210715156881689), “基于区块链的大规模服务系统高可信个性化服务质量在线预测方法研究”, 2021.10.01-2023.09.30, 主持,在研


发表的部分学术论文:

2021

1. Jianlong Xu(通信作者), Jian Lin, Wei Liang, Kuan-Ching Li, “Privacy Preserving Personalized Blockchain Reliability Prediction via Federated Learning in IoT Environments, ” Cluster Computing -The Journal of Networks Software Tools and Applications, 02 September 2021, ISSN:1386-7857, pp.1-12, doi: 10.1007/s10586-021-03399-w .(SCI期刊, IF: 1.809)

2. Wei Liang, Yuhui Li, Jianlong Xu, Zheng Qin , Kuan-Ching Li, “QoS Prediction and Adversarial Attack Protection for Distributed Services Under DLaaS,” IEEE Transactions on Computers, pp. 1-14, 2021, doi: 10.1109/TC.2021.3077738. (SCI期刊, IF: 2.575)

3. Jianlong Xu (通信作者), Kun Wang, Che Lin, Lianghong Xiao, Xingshan Huang, and Yufeng Zhang. “FM-GRU: A Time Series Prediction Method for Water Quality Based on seq2seq Framework,” Water, vol.13, no.8, 9 April 2021, 1031; doi: https://doi.org/10.3390/w13081031  (SCI期刊, IF: 2.544)

4. Jianlong Xu (通信作者), Zhuo Xu, Jianjun Kuang Che Lin, Lianghong Xiao, Xingshan Huang, and Yufeng Zhang. “An alternative to laboratory testing: Random forest-based water quality prediction framework for inland and nearshore water bodies”, Water, vol.13, no.22, 3262; doi:10.3390/w13223262,  17 Nov, 2021 (SCI期刊,IF: 2.544)

5. Jianlong Xu, Zicong Zhuang, Zhiyu Xia, Yuhui Li, “MNCF: Prediction Method for Reliable Blockchain Services under a BaaS Environment,” Information, 10, June 2021, vol.12, No.6, 242. pp.1-16. doi: 10.3390/info12060242.  (EI期刊)


2020

1. Jianlong Xu, Yuhui Li, Kun Wang, Lianghong Xiao, Wei Liang. “FSVA-Data: A Flexible Solution for the Visualization and Analysis of Basin-scale Water Quality Monitoring Data,” International Journal of Embedded Systems,9 June, 2020, Accepted  (EI期刊)

2. Jianlong Xu, Lijun Xiao, Yuhui Li, Mingwei Huang, Zicong Zhuang,Tien-Hsiung Weng, and Wei Liang, “NFMF: Neural Fusion Matrix Factorization for QoS Prediction in Service Selection,” Connection Science, 2021, pp.1-16. doi:10.1080/09540091.2021.1889975. (EI期刊)

3. Xiaming Chen, Zhuang Qi and Jianlong Xu (通信作者), “HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing, ” IEEE Access, vol. 8, no.1, 09 March 2020, pp. 49180-49186   doi: 10.1109/ACCESS.2020.2979516. (SCI期刊, IF: 4.098)

4. Yuhui Li, Jianlong Xu (通信作者) and Wei Liang. “GraphMF: QoS Prediction for Large Scale Blockchain Service Selection,” in Proceeding of The 3rd International Conference on Smart BlockChain (IEEE SmartBlock 2020), October 23rd, 2020, pp.167-172. DOI: 10.1109/SmartBlock52591.2020.00038.

5. Jianlong Xu(通信作者), Zicong Zhuang, Kun Wang, and Wei Liang. “High-accuracy Reliability Prediction Approach for Blockchain Services under BaaS,” in Proceeding of 2020 International Conference on Blockchain and Trustworthy Systems, Virtual Conference, August 6-7, 2020, pp.648-660. DOI: 10.1007/978-981-15-9213-3_50

2019

1. W. Liang, M. Tang, J. Long, X. Peng, Jianlong Xu and K. C. Li, “A Secure Fabric Blockchain-based Data Transmission Technique for Industrial Internet-of-Things,” IEEE Transactions on Industrial Informatics, vol.15, no.6, 2019, pp. 3582-3592. doi:10.1109/TII.2019.2907092. 8.423(SCI期刊, IF: 8.423)

2. Xin Du, Jianlong Xu(通信作者), Weihong Cai, Changsheng Zhu, Yindong Chen. “OPRC: An Online Personalized Reputation Calculation Model in Service-oriented Computing Environments,” IEEE Access, Jun 28, 2019, Vol.7, pp.87760-87768. doi:10.1109/ ACCESS.2019.2925778.(SCI期刊,  IF: 4.54)

3. Jianlong Xu, Xin Du, Weihong Cai, Changsheng Zhu, Yindong Chen. “MeURep: A Novel User Reputation Calculation Approach in Personalized Cloud Services”. PLOS ONE, vol.14, no.6, June 21, 2019, pp.1-15. (SCI期刊, IF: 3.337)

4. Weihong Cai, Xin Du, Jianlong Xu (通信作者), “A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization,” Sensors, June 19, 2019, vol.19, no.12, pp.1-17 doi:10.3390/s19122749.(SCI期刊, IF: 3.302)

Before 2019

1. Jianlong Xu, Zibin Zheng, and Michael R. Lyu. “Web Service Personalized Quality of Service Prediction via Reputation-based Matrix Factorization”. IEEE Transactions on Reliability. vol.65, no.1, 2016, pp.28-37. doi:10.1109/TR.2015.2464075 (SCI期刊, IF: 3.304).

2. Jianlong Xu, Zibin Zheng, and Michael R. Lyu. “CGA-based Deadlock solving Strategies towards Vehicle Sensing Systems,” EURASIP Journal on Wireless Communications and Networking. Dec.6, 2014, 2014:214. doi: 10.1186/1687-1499-2014-214. (SCI期刊, IF: 1.583)

3. Xuran Li, Jianlong Xu, Hong-Ning Dai, Qinglin Zhao, Chak Fong,Cheang, Qiu Wang. “On Modeling Eavesdropping Attacks in Wireless Networks”. Journal of Computational Science, Vol. 11, November 2015, pp.196 - 204. doi:10.1016/j.jocs.2014.10.006. (SCI期刊, IF: 2.347)

4. Jianlong Xu, Guixiong Liu, Xiaobin Hong. “Internet of Things Perception Layer Scenario Abstract Method Research and Application”. Advances in Information Sciences and Service Sciences. vol.5, no.7, 2013, pp.605-611. doi:10.4156/AISS.vol5.issue7.71

5. Jianlong Xu, Xin Du, Weihong Cai, Changsheng Zhu, Yindong Chen. “An Online Personalized Reputation Estimation Model for Service-oriented Systems,” 2019 IEEE International Conference on Services Computing (SCC), Milan, Italy, 8-13 July, 2019,pp.116-120.DOI: 10.1109/SCC.2019.00029 (CCF C类会议)

6. Jianlong Xu, Yindong Chen, Changsheng Zhu. “A QoS-based User Reputation Measurement Method for Web Services,” in Proceeding of 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE2018), Wuhan, China, February 7-8, 2018, pp.482-485.

7. Jianlong Xu, Changsheng Zhu. “Personalized and Accurate QoS Prediction Approach Based on Online Learning Matrix Factorization for Web Services,” in Proceeding of 4th Annual International Conference on Information Technology And Applications(ITA 2017), Suzhou, China, Jan 23-25, ITM Web of Conferences, vol.12, 2017, pp.1-5. doi: 10.1051/itmconf/20171203027

8. Jianlong Xu, Changsheng Zhu, Qi Xie. “An Online Prediction Framework for Dynamic Service-generated QoS Big Data,” in Proceeding of The International Conference on Database Systems for Advanced Applications (DASFAA 2017), Suzhou, China, March 27-30, 2017, pp.60-74. doi: 10.1007/978-3-319-55705-2_5 (EI索引号:20171403520204)

9. Jianlong Xu, Zibin Zheng, Zhun Fan and Wenhua Liu. “Online Personalized QoS Prediction Approach for Cloud Services”, in Proceeding of 2016 4th IEEE International Conference on Cloud Computing and Intelligence Systems (IEEE CCIS2016), Beijing, China, August 17-19, 2016, pp.32-37. (EI索引号:20170603321813)

10. Jianlong Xu, Zibin Zheng, and Michael R. Lyu. “An Efficient Deadlock Solving Method for Vehicle Sensing Systems in IoV,” in Proceeding of 2014 International Conference on Internet of Vehicles(IoV 2014). Beijing, Sep 1-3, 2014, pp. 1-8. (EI索引号:20151200662399)

11. PinjiaHe, Jieming Zhu, JianlongXu, and Michael R. Lyu. “A Hierarchical Matrix Factorization Approach for Location-based Web Service QoS Prediction,” in Proceeding of IEEE 8th International Symposium on Service Oriented System Engineering, (SOSE 2014), Oxford, UK, April 7-10,2014, pp. 290-295. (EI索引号:20142817916989) doi:10.1109/SOSE.2014.41

12. Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, and Michael R. Lyu. “Location-based Hierarchical Matrix Factorization for Web Service Recommendation,” in Proceeding of The IEEE 2014 International Conference on Web Services (ICWS 2014), Alaska, USA, June 27-July 2, 2014,pp. 297-304. (EI索引号:20151400715038). doi:10.1109/ICWS.2014.51 (CCF B类会议)


已申请或授权的部分国家发明专利:

1. 基于双子图的服务质量预测方法、系统、设备及介质(申请号:202111246230.2).

2. 基于位置上下文感知的神经协同过滤服务质量预测方法(申请号:202010670684.1)

3.一种基于改进神经协同过滤的区块链服务可靠性预测方法 (申请号:202011142462.9)

4.一种具有隐私保护的区块链节点可靠性预测方法及系统 (申请号:202110382048.3)

5.一种基于GEE的海水水质在线反演监测方法 (申请号:202110641382.6)

6.一种基于改进Seq2Seq框架的水质时间序列预测方法 (申请号:202110174054.X)

7.一种基于微服务的水质监测数据可视化系统及方法  (申请号:202011392998.6)

8. 一种基于区块链的服务质量预测方法(申请号:201910746791.5)

9.一种基于Web云服务中用户可信度的在线预测方法(申请号:201910158543.9)

10. 基于轮载式智能传感自适应变频采样监测汽车ABS性能测试方法 (授权号:ZL 2011 10153242.0)

11. 基于车轮切向加速度曲线获取车轮转动信号特征量的方法 (CN102295002A)

12. 一种监测系统调度的死锁检测与解除方法 (CN102521033A)


已登记的软件著作权:

1.练江流域水质污染分析大数据可视化软件系统V1.0 (登记号:2020SR0004359)

2.基于WebGIS的练江流域水质污染监测软件系统V1.0 (登记号:2020SR1056969)

3.基于遥感图像的练江水质污染反演分析软件系统 V1.0 (登记号:2021SR0769157)


上一条:陈夏铭 下一条:吴烁

关闭