职称：讲师

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。IEEE会员，CCF会员，广东省计算机学会第十一届区块链专委会委员，曾任国家自然科学基金评审人，TSC、IJWSR、ICWS等重要期刊及会议审稿人，IEEE APSCC、IEEE SCC、CollaborateCom、ICA3PP等国际会议的PC Member。主持项目包括国家自然科学基金、广东省自然科学基金面上项目、广东省科技创新战略专项资金、广东省科技专项资金、广东省普通高校重点领域专项、广东省普通高校青年创新人才项目等各类项目10余项，已在国内外SCI/EI期刊及国际会议发表论文40余篇，近3年以第一发明人申请或授权国家发明专利12项（授权5项）、登记软件著作权7项。

研究兴趣： 服务计算、数据挖掘与信息安全、区块链、物联网应用、水污染监测等

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，项目负责人，已结题

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,项目负责人，已结题

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，项目负责人，已结题

4. 2018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，项目共同负责人，已结题

5. 2019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”, , 2019.10-2021.09，项目负责人，已结题

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- 2023.06,项目负责人，在研

7. 2021广东省科技专项资金(“大专项＋任务清单” )项目(No. STKJ2021201), “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”, 2021.10-2023.09,项目负责人，在研

8. 2023年广东省普通高校重点领域专项(No.2022ZDZX1008),“面向智能物联网服务推荐的云边协同机制研究”，2023.01-2024.12,项目负责人，在研

9. 2023广东省基础与应用基础研究基金自然科学基金项目(面上项目), (No.2023A1515010707), “个性化服务推荐中基于联邦学习的云边协同隐私保护方法研究,” 2023.01-2025.12,项目负责人，在研

已发表的主要学术论文：

1.Jianlong Xu (通信作者) ,Jian Lin, Yusen Li, Zhuo Xu. “MultiFed: A fast converging federated learning framework for services QoS prediction via cloud-edge collaboration mechanism,” Knowledge-Based Systems.7 March 2023, Vol.268, 110463.https://doi.org/10.1016/j.knosys.2023.110463(SCI期刊,中科院一区, IF: 8.139)

2.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，中科院二区)

3.Jianlong Xu,Jian Lin,Wei Liang, Kuan-Ching Li*,“Privacy Preserving Personalized Blockchain Reliability Prediction via Federated Learning in IoT Environments,”ClusterComputing-The Journal of Networks Software Tools and Applications,02 September 2021, ISSN:1386-7857, vol.25 no.4, pp.2515-2526, doi:https://doi.org/10.1007/s10586-021-03399-w(SCI期刊)

4.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)

5.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 April2021,1031; doi: https://doi.org/10.3390/w13081031(SCI期刊)

6.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)

7.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)

8.Jianlong Xu, Zicong Zhuang, Zhiyu Xia, Yuhui Li, “MNCF: Prediction Method for Reliable Blockchain Services under a BaaS Environment,” Information, 10, June2021,vol.12, No.6, 242. pp.1-16.doi: 10.3390/info12060242.(EI期刊)

9.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)

10.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,2021,vol.14, No.4, pp.335-344.(EI期刊)

11.许建龙(通信作者)，林健，黎宇森，熊智. “分布式用户隐私保护可调节的云服务个性化QoS预测模型,”网络与信息安全学报, 2023, , 2023年4月, 9(2): 70-80. DOI: 10.11959/j.issn.2096−109x.2023022(中文核心期刊)

12.Xiaming Chen, Zhuang Qi andJianlong 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)

13.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)

14.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)

15.Tong Yu, Xiaming Chen, Zhuo Xu,Jianlong Xu(通信作者). “MP-GCN: A Phishing Nodes Detection Approach via Graph Convolution Network for Ethereum,”Applied Sciences.20 Jul 2022,vol.12, no.14,7294. https://doi.org/10.3390/app12147294 (SCI期刊)

16.Hao Cai, Yuanquan Xie,Jianlong Xu(通信作者), and Zhi Xiong. “A Lightweight and Accurate UAV Detection Method Based on YOLOv4,” Sensors, 11 September 2022,vol.22, no.18, 6874; https://doi.org/10.3390/s22186874 (registering DOI)(SCI期刊)

17.Hao Cai, Lingling Xu, Jianlong Xu(通信作者), Zhi Xiong, and Changsheng Zhu. “Electrocardiogram signal classification based on Mix time-series imaging”,Electronics,24 Jun, 2022, 11(13), 1991; https://doi.org/10.3390/electronics11131991(SCI期刊)

18.Hao Cai, Zhiguang Song,Jianlong Xu(通信作者), and Zhi Xiong. Yuanquan Xie. “CUDM: A Combined UAV Detection Model Based on Video Abnormal Behavior,” Sensors, 4 December 2022.vol.22,no. 23: 9469.https://doi.org/10.3390/s22239469(SCI期刊)

19.W. Liang, M. Tang, J. Long, X. Peng,Jianlong Xuand 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期刊中科院一区)

20.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. (中科院二区SCI期刊)

21.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期刊中科院二区)

22.Jianlong Xu(通信作者), Zhuo Xu, Jian Lin, Weiwei She. “Double Security Guarantee: Protecting User Privacy and Model Security in QoS Prediction”, 2022 IEEE International Conference on Services Computing (SCC),Barcelona, Spain, July 10-16, 2022, pp.140-145. DOI: 10.1109/SCC55611.2022.00031（CCF C类EI会议论文）

23.Jianlong Xu(通信作者), Zhiyu Xia, Yuhui Li, Yuxiang Zeng, Zhidan Liu. “Subgraph Sampling for Inductive Sparse Cloud Services QoS Prediction,” IEEE International Conference on Parallel and Distributed Systems (ICPADS), 14-16 December 2022, Nanjing, China. pp.745-753 (CCF C类EI会议论文)

24.Jianlong Xu(通信作者),Weiwei She, Jian Lin, Zhuo Xu, Hao Cai, Zhi Xiong, Changsheng Zhu. “FL-MFGM: A Privacy-preserving and High-accuracy Blockchain Reliability Prediction Model”, inProceeding of2022 International Conference on Blockchain and Trustworthy Systems (BlockSys 2022), August 04-05, 2022 Virtual, China. pp 306–321 (EI会议论文)

25.Jianlong Xu(通信作者), Zicong Zhuang, Kun Wang, and Wei Liang. “High-accuracy Reliability Prediction Approach for Blockchain Services under BaaS,” inProceeding of2020 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 (EI会议论文)

26.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)

27.Jianlong Xu, Yindong Chen, Changsheng Zhu. “A QoS-based User Reputation Measurement Method for Web Services,” inProceeding of2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE2018), Wuhan, China, February 7-8, 2018, pp.482-485. (EI会议论文)

28.Jianlong Xu, Changsheng Zhu. “Personalized and Accurate QoS Prediction Approach Based on Online Learning Matrix Factorization for Web Services,” inProceeding 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 (EI会议论文)

29.Jianlong Xu, Changsheng Zhu, Qi Xie. “An Online Prediction Framework for Dynamic Service-generated QoS Big Data,” inProceeding of TheInternational Conference on Database Systems for Advanced Applications(DASFAA2017), Suzhou, China, March 27-30, 2017, pp.60-74. doi: 10.1007/978-3-319-55705-2_5 ((EI会议论文))

30.Jianlong Xu, Zibin Zheng, Zhun Fan and Wenhua Liu. “Online Personalized QoS Prediction Approach for Cloud Services”, inProceeding of 2016 4th IEEE International Conference on Cloud Computing and Intelligence Systems (IEEE CCIS2016), Beijing, China, August 17-19, 2016, pp.32-37. ((EI会议论文))

31.Jianlong Xu, Zibin Zheng, and Michael R. Lyu. “An Efficient Deadlock Solving Method for Vehicle Sensing Systems in IoV,” inProceeding of 2014 International Conference on Internet of Vehicles(IoV 2014). Beijing, Sep 1-3, 2014, pp. 1-8. ((EI会议论文))

32.Zhuo Xu, Jian Lin, Weiwei She,Jianlong Xu(通信作者), Zhixiong Hao Cai. “Neighbor Collaboration-based Secure Federated QoS Prediction for Smart Home Services,” International Conference on Services Computing (SCC 2022), December 10-14, 2022, Honolulu, Hawaii, USA. pp 71–85 (EI会议论文)

33.Jian Lin, Yusen Li, Zhuo Xu, Weiwei She, andJianlong Xu (通信作者). “TSFed: A Two-Stage Federated Learning Framework via Cloud-Edge Collaboration for Services QoS Prediction,” International Conference on Web Services (ICWS 2022), December 10-14, 2022, Honolulu, Hawaii, USA. pp.58–72. https://doi.org/10.1007/978-3-031-23579-5_5 (EI会议论文)

34.Jian Lin,Jianlong Xu(通信作者),Yusen Li and Zhuo Xu. “Federated Learning with Dynamic Aggregation Based on Connection Density at Satellites and Ground Stations,” IEEE International Conference on Satellite Computing, November 25-27, 2022, Shenzhen, China.pp.31-36. DOI: 10.1109/Satellite55519.2022.00014 (EI会议论文)

35.Yuhui Li, Jianlong Xu(通信作者)and Wei Liang. “GraphMF: QoS Prediction for Large Scale Blockchain Service Selection,” inProceeding ofThe 3rd International Conference on Smart BlockChain (IEEE SmartBlock 2020), October 23rd, 2020, pp.167-172. DOI: 10.1109/SmartBlock52591.2020.00038. (EI会议论文)

36.PinjiaHe, Jieming Zhu,JianlongXu, and Michael R. Lyu. “A Hierarchical Matrix Factorization Approach for Location-based Web Service QoS Prediction,” inProceeding of IEEE 8th International Symposium on Service Oriented System Engineering,(SOSE 2014), Oxford, UK, April 7-10,2014, pp. 290-295. ((EI会议论文)

37.Pinjia He, Jieming Zhu, Zibin Zheng,Jianlong Xu, and Michael R. Lyu. “Location-based Hierarchical Matrix Factorization for Web Service Recommendation,” inProceeding 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)

已授权的主要国家发明专利(第一发明人)：

1.一种具有隐私保护的区块链节点可靠性预测方法及系统(国家发明专利授权号：ZL 202110382048.3)

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(国家发明专利授权号：ZL 2020 1 0670684.1)

3.基于双子图的服务质量预测方法、系统、设备及介质(国家发明专利授权号：ZL202111246230.2)

4.一种基于改进Seq2Seq框架的水质时间序列预测方法(国家发明专利授权号：ZL 202110174054.X)

5.一种基于微服务的水质监测数据可视化系统及方法(国家发明专利授权号：ZL 2020 1 1392998.6)

已登记的主要软件著作权：

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）

4.练江流域水质污染大数据分析及可视化展示平台v1.0（登记号：2022SR0347052）

5.数据智能可视化及自动代码生成软件v1.0（登记号：2022SR0365438）

6.引入游戏机制的校内信息论坛APP (登记号：2022SR1031677)

7.汕头市海域水质大数据分析及可视化展示软件(登记号：2022SR1031676)

8.练江流域水质综合评价可视化展示软件系统v1.0 (登记号：2023R11L0726941)

9.练江流域水质污染大数据分析及可视化展示平台V2.0 (登记号：2023R11L0847534)