陆广泉

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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，博士生导师，广西杰出青年科学基金获得者，入选八桂青年拔尖人才。

现任计算机学会(CCF)杰出会员，中国人工智能学会（CAAI）会员，多媒体技术专委委员，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4项。获广西计算机学会青年科技奖，获广西计算机学会优秀论文一等奖2次；公开发表论文40余篇；国家授权发明专利5项，指导学生竞赛获省级一等奖3次。

研究兴趣

图表示学习 - 图神经网络及其在人工智能的应用
多模态学习 - 跨模态融合、多任务学习
数据挖掘 - 知识图谱、时序数据分析、智能体

荣誉奖励

2024年 广西杰出青年科学基金项目获得者
2024年 入选'八桂青年拔尖人才'培养项目
2025年 广西计算机学会青年科技奖

教育经历

2019.07-至今 广西师范大学计算机科学与工程学院/软件学院/人工智能学院，专任教师
2016.08-2019.06 中山大学，逻辑学专业，哲学博士
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

招生信息

我们期待踏实、勤奋、对人工智能研究充满热情的你加入团队！

踏实肯干，积极向上，勇于追求优秀！常年招收博士生、博士后、硕士生、访问学者。

科研项目

2025.03-2029.02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，项目负责人
2024.01-2027.12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，项目负责人
2022.01-2025.12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，项目负责人
2020.07-2023.06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，项目负责人
2019.01-2021.12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，项目负责人
2023.01-2025.12东盟本地经贸信息知识图谱及热点追踪系统研发
广西重点研发计划，项目参与骨干

学术论文

以第一/通讯作者发表高水平论文40余篇，其中SCI一区/CCF-A类论文10篇，涵盖IEEE Transactions、Information Processing and Management等顶级期刊和IJCAI、ECAI等顶级会议。

Xuxia Zeng, Guangquan Lu*, Cuifang Zou, Shilong Lin, Longqing Du, Shichao Zhang
Multi-hop Contrastive Learning with Feature Augmentation for Node Classification
ECAI 2025 (CCF-B会议，EI)

Cuifang Zou, Guangquan Lu*, Wenzhen Zhang, Xuxia Zeng, Shilong Lin, Longqing Du, Shichao Zhang
Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion
IJCAI 2025 (CCF-A会议，EI)

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)

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期刊)

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)

Longqing Du, Guangquan Lu*, Yadan Han*, 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 (COCOON 2024) (CCF-B会议)

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)

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)

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 (KSEM 2023，EI)

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)

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

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

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

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)

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)

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, 最佳会议论文)

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

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)

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

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)

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)

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)

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

学术兼职

期刊审稿
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
会议程序委员
ACM Multimedia, IJCAI, AAAI, ICME, ADMA等国际学术会议
编委及兼职
Tsinghua Science and Technology 期刊 Guest Editor、广西师范大学学报（自然科学版）青年编委，国家自然科学基金委项目通讯评审专家、广西科技专家库成员

陆广泉教授

联系信息