陆广泉
陆广泉

    陆广泉 老师


    研究方向/教研室:机器学习、特征学习/图学习、数据挖掘等/软件教研室

    电子邮件:lugq@mailbox.gxnu.edu.cn

    联系电话:18078457209

    通信地址:广西桂林市七星区育才路15号广西师范大学计算机科学与工程学院/软件学院 



    [个人简介] [研究兴趣][学术工作经历][科研项目][部分科研论文][学术兼职][曾获得的奖励与荣誉]




    人简介

    陆广泉(1985-),男,中共党员,博士/副教授,硕士研究生导师。中国人工智能学会(CAAI)会员,计算机学会(CCF)高级会员,曾在国家自然科学基金委科研诚信办、信息二处借调,CCF YOCSEF桂林 2024-2025候任主席,CCF YOCSEF桂林 2023-2024学术秘书。


    研究兴趣

      机器学习
       特征学习/图学习
       数据挖掘等


    学习工作经历 

            ●2019.07-至今,广西师范大学计算机科学与工程学院/软件学院,教师  

            ●2016.08-2019.06, 中山大学, 逻辑学,博士。 

            ●2008.08-2011.06, 广西师范大学, 计算机软件与理论,硕士。 

            ●2004.08-2008.06, 广西师范大学, 计算机科学与技术,本科。 


    科研项目

        1.“数据驱动的东盟自贸区农业事件预测方法研究”,国家自然科学基金面上项目,50万元,项目负责人,在研,2024.01-2027.12;

        2.“基于图神经网络的农业知识图谱优化方法研究”,国家自然科学基金地区科学基金项目,36万元,项目负责人,在研,2022.01-2025.12; 

        3.“基于图神经网络的多任务特征表示学习”,广西科技基地和人才专项,10万元,项目负责人,2020.07-2023.06;

        4.“基于信息融合的图神经网络研究”,广西师范大学博士科研启动项目,10万元,项目负责人,2019.01-2021.12;

        5.“东盟本地经贸信息知识图谱及热点追踪系统研发及推广应用”,广西重点研发计划,170万元,项目参与骨干,在研,2023.01-2025.12;


    部分科研论文

    1. Yadan Han, Guangquan Lu*, Liang Zhang, Cuifang Zou. A Temporal Knowledge Graph Embedding Model Based on Variable Translation. Tsinghua Science and Technology,2023,(29)pp1554-1565(SCI一区);

    2. Yadan Han, Guangquan Lu*, Jiecheng Li, Fuqing Ling, Wanxin Chen, Liang Zhang. Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties. The 16th International Conference, Knowledge Science, Engineering and Management,(KSEM2023);

    3.Jingci Li; Guangquan Lu*; Zhengtian Wu; Fuqing Ling. Multi-View Representation Model based on Graph Autoencoder. Information Sciences,2023,(632)439-453(SCI一区);

    4. Guangquan Lu#, Jiecheng Li & Jian Wei*. Aspect Sentiment Analysis with Heterogeneous Graph Neural Networks. Information Processing and Management, 2022 (SCI一区)

    5. Jingci Li, Guangquan Lu*. Multi-View Graph Autoencoder for Unsupervised Graph Representation Learning,The 26th International Conference on Pattern Recognition.(ICPR 2022)

    6. Jingci Li, Guangquan Lu*, Jiecheng Li. A Self-supervised Graph Autoencoder with Barlow Twins. The Pacific Rim International Conference on Artificial Intelligence 2022.

    7. Guangquan Lu#, Jihong Huang*. Learning Representation From Concurrence Words Graph For Aspect Sentiment Classification. The Computer Journal,2021,64(7),1069-1079(SCI, CCF B)

    8. Jinyu Dai, Zhengtian Wu, Hamid Reza Karimi, Baoping Jiang, Guangquan Lu. An approximation lagrangian-based algorithm for the maximum clique problem via deterministic annealing neural network. Journal of the Franklin Institute, 2022,359(12)6080-6098.(SCI)

    9. Yiling Tao, Guangquan Lu*, Chaoqun Ma, Zidong & Zehui Hu: Semi-supervised feature selection based on cost-sensitive and structural information, The 32nd Australasian Database Conference 2021. (EI, Best Paper)

    10. Linjun Chen, Guangquan Lu*, Yangding Li, Jiaye Li & Malong Tan. Local Structure Preservation for Nonlinear Clustering. Neural Processing Letters, 2020 (SCI)

    11. Mengmeng Zhan, Guangquan Lu*,Guoqiu Wen,Leyuan Zhang & Lin Wu. Using Locality Preserving Projections to improve the performance of Kernel Clustering. Neural Processing Letters,2020(SCI)

    12. Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu,Jiaye Li & Shichao Zhang. Spectral clustering via half-quadratic optimization. World Wide Web, 2019(SCI)

    13. Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li & Guangquan Lu. Sparse Graph Connectivity for Image Segmentation. ACM Transactions on Knowledge Discovery from Data, 2020(SCI)

    14. Guangquan Lu#, Jiangzhang Gan, Jian Yin, Zhiping Luo, Bo Li & Xishun Zhao. Multi-task learning using a hybrid representation for text classification. Neural Computing and Applications, 2020, (32)6467-6480 (SCI二区)

    15. Guangquan Lu#, Xishun Zhao, Jian Yin, Weiwei Yang & Bo Li. Multi-task learning using variational auto-encoder for sentiment classification. Pattern Recognition Letters, 2020, (132)115-122 (SCI)

    16. Guangquan Lu#, Bo Li, Weiwei Yang & Jian Yin. Unsupervised feature selection with graph learning via low-rank constraint. Multimedia Tools and Application, 2018, (77)29531-29549. (SCI)




    学术兼职

    国家自然科学基金委项目通讯评审专家;期刊审稿人:IEEE TNNLS, IEEE TCSVT, IEEE TKDE, IEEE TKDD, Neurocomputing, Computer Journal, World Wide Web Journal, Neural Computing and Applications, Pattern Recognition Letters,Neural Processing Letters, Information Processing and Management, Multimedia Systems等;国际学术会议程序委员会委员:ACM Multimedia, IJCAI, AAAI, ICME, ADMA;广西师范大学学报(自然科学版)青年编委等。















  • 地址 :广西师范大学育才校区育才路15号
  • 邮编:541004
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