陆广泉 教授

个人简介

陆广泉(1985-)，男，中共党员，中山大学逻辑学专业哲学博士/(破格)教授，硕士研究生导师（学硕、专硕）,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，多媒体技术专委委员，兼任CCF YOCSEF桂林 2024-2025主席。主持国家自然科学基金项目2项(面上项目1项，地区基金项目1项)，主持省部级项目3项（包括广西杰青项目1项）。获广西计算机学会优秀论文一等奖2次；公开发表论文30余篇；国家授权发明专利3项，指导学生竞赛获省级一等奖3次。

研究兴趣

• 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

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

招生要求

踏实肯干，积极向上，勇于追求优秀！

科研项目

• “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;

• “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;

• “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;

• “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;

• “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;

• “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.Cuifang Zou, Guangquan Lu*, Wenzhen Zhang, Xuxia Zeng, Shilong lin, Longqing Du, Shichao Zhang. Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion. IJCAI2025(CCF-A会议，Accepted);

• 2.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);

• 3.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);

• 4.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)；

• 5.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)

• 6.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)

• 7.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);

• 8.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);

• 9.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);

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

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

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

• 13.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)

• 14.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)

• 15.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)

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

• 17.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)

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

• 19.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)

• 20.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)

• 21.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)

• 22.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

• 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。