陆广泉 老师
研究方向/教研室：机器学习、特征学习/图学习/多模态学习/多任务学习、数据挖掘等/大数据与人工智能教研室
电子邮件：lugq@mailbox.gxnu.edu.cn
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]
陆广泉(1985-)，男，中共党员，博士/(破格)教授，硕士研究生导师,广西杰青项目获得者，入选八桂青年拔尖人才。中国人工智能学会（CAAI）会员，计算机学会(CCF)高级会员，CCF YOCSEF桂林 2024-2025主席，CCF YOCSEF桂林 2023-2024学术秘书。
机器学习
特征学习/图学习
多模态学习/多任务学习
数据挖掘等
●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。
踏实肯干，积极向上，勇于追求优秀。
1.“图结构数据表示学习的关键技术”，广西杰出青年科学基金项目，40万元，项目负责人，在研，2025.03-2029.02;
2.“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;
3.“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;
4.“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;
5.“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;
6.“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;
1. Guangquan Lu, Shilong Lin, Shichao Zhang, Jiacheng Jiang*, Yadan Han*, Guoqiu Wen, Taotao Qiu. Efficient Channel Transformer for Processing Agricultural Aerial Images. Tsinghua Science and Technology, 2025 (SCI二区, Accepted);
2. Guangquan Lu, Fuqing Ling, Jiecheng Li, Longtao Zhu, Xiaohua Qin, Sebing Nong*. Graph Attention-Based Dual Enhancement for Multi-View Clustering. IEEE Transactions on Computational Social Systems, 2025(SCI);
3. Cuifang Zou, Guangquan Lu* Longqing Du, Xuxia Zeng,Shilong Lin. Graph similarity learning for cross-level interactions. Information Processing and Management, 2024(SCI一区)；
4.Longqing Du, Guangquan Lu*,YadanHan*, Zhiping Luo, Guoqiu Wen, Liang Zhang Wanxin Chen, Shichao Zhang. GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification.The 30th International Computing and Combinatorics Conference(COCOON2024)(EI, CCF B会议)
5. Zhiping Luo, Jian Yin,Guangquan Lu，Mohammad Reza Rahimi. Link prediction in multilayer networks using weighted reliable local random walk algorithm. Expert Systems With Applications, 2024,(247)123304(SCI一区)
6. Yadan Han, Guangquan Lu*, Liang Zhang, Cuifang Zou. A Temporal Knowledge Graph Embedding Model Based on Variable Translation. Tsinghua Science and Technology,2024,29(5),pp1554-1565(SCI二区);
7. 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);
8.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);
9. Guangquan Lu#, Jiecheng Li & Jian Wei*. Aspect Sentiment Analysis with Heterogeneous Graph Neural Networks. Information Processing and Management, 2022 (SCI一区)
10. Jingci Li, Guangquan Lu*. Multi-View Graph Autoencoder for Unsupervised Graph Representation Learning,The 26th International Conference on Pattern Recognition.(ICPR 2022)
11. Jingci Li, Guangquan Lu*, Jiecheng Li. A Self-supervised Graph Autoencoder with Barlow Twins. The Pacific Rim International Conference on Artificial Intelligence 2022.
12. 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)
13. 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)
14. 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)
15. Linjun Chen, Guangquan Lu*, Yangding Li, Jiaye Li & Malong Tan. Local Structure Preservation for Nonlinear Clustering. Neural Processing Letters, 2020 (SCI)
16. 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)
17. Xiaofeng Zhu, Jiangzhang Gan, Guangquan Lu，Jiaye Li & Shichao Zhang. Spectral clustering via half-quadratic optimization. World Wide Web, 2019(SCI)
18. 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)
19. 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)
20. 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)
21. 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)
国家自然科学基金委项目通讯评审专家；广西科技专家；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。