Ø 个人简介
梁军，中山大学计算机科学与技术博士，华南师范大学人工智能学院硕士生导师，佛山市高层次人才，CCF高级会员。
Jun Liang received the Ph.D. degree in Computer Science and Technology from Sun Yat-sen University, Guangzhou, China, in 2017. He is now working at School of Artificial Intelligence in South China Normal University. His research interests include graph theory, machine learning and computer algorithm. He has published about 25 peer-reviewed papers in his fields of interest.
Ø 教育背景
•2013.08-2017.06 Doctor, Computer science and Technology, Sun Yat-sen University
•2005.09-2008.06 Master, Computer software and theory, Guangxi Normal University
•2001.09-2005.06 Bachelor, Computer science and Technology, Nanchang University
Ø 工作经历
2008.07-至今，华南师范大学
Ø 研究领域
图论 , 机器学习 , 算法设计等。
Ø 科研项目
[1]广东省基础与应用基础研究基金区域联合基金—地区培育（2022A1515140110）. 基于细粒度图像分类的多场景跨域应用研究. 2022.10-2025.10. 主持
[2]中国科学院地球化学研究所委托项目（2022）. 单体稳定氯同位素分析技术信息及数据处理系统. 2022.01-2023.12. 主持
[3]广东省基础与应用基础研究基金联合基金重点项目（2020B1515120089）. 陶瓷墙地砖分级分色高速在线视觉检测的AI 模型及算法研究. 2021.01-2024.12. 参与
[4]国家重点研发计划“变革性技术关键科学问题”重点专项2020年度项目（2020YFA0712500）. 航路规划大规模复杂动态图的数学建模及分布式计算. 2020.01-2025.12. 参与
[5]广东省普通高校特色创新项目（2019KTSCX035）. 基于UNet++和3D-DPN的医学图像分类及预测. 2019.01-2021.12. 主持
[6]广东省自然科学基金博士科研启动项目（ 2018A030310516）. 圈点（边）连通度的基础理论及其算法研究. 2018.01-2021.12. 主持
[7]福建省高校人文社科研究基地互联网创新研究中心（闽江学院）开放课题（IIRC20170103）. 互联网+大数据研究—圈点连通度和机器学习. 2017.01-2019.12. 主持
[8]广东省普通高校青年创新人才项目（2017KQNCX053）. 圈点（边）连通度的分布式算法研究. 2017.01-2018.12. 主持
[9]华南师范大学青年教师科研培育基金项目（2012KJ006）. 基于小型高性能集群的分布式文件系统Lustre关键技术的研究. 2012.01-2014.12. 主持
Ø 论文
[1]Liang, Jun, Liu, Xinyao, Lou, Dingjun, Zhang, Zan-Bo*, Qin, Zixin. Cyclic edge and cyclic vertex connectivity of (4,5,6)-fullerene graphs. Discrete Applied Mathematics, Elsevier BV, 2024, 351
[2]Han, Min, Jin, Biao, Liang, Jun, Huang, Chen, Arp, Hans Peter H.. Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure. Water Research, Elsevier BV, 2023, 244
[3]Huang, Zhiji, Yu, Songsen, Liang, Jun*. Multi-level feature fusion capsule network with self-attention for facial Expression recognition. Journal of Electronic Imaging, SPIE-Intl Soc Optical Eng, 2023, 32(02)
[4]J. Liang, F. Xu, S. Yu*. A Multi-scale Semantic Attention Representation for Multi-Label Image Recognition with Graph Networks. Neurocomputing, Elsevier , 2022 (SCI, TOP, JCR Q1)
[5]梁军, 洪泽泓, 余松森*. 基于改进粒子群优化算法和遗传变异的图像分割模型. 计算机应用, 2022 (CSCD, 中文核心)
[6]Hai Su, Meiyin Han, Junle Liang, Jun Liang*, Songsen Yu. Deep supervised hashing with hard example pairs optimization for image retrieval. The Visual Computer , Springer Science and Business Media LLC, 2022 （SCI， JCR Q2）
[7]Yingan Hou, Junguang Su, Jun Liang*, Xiwen Chen, Qin Liu, Liang Deng, Jiyuan Liao. A stroke image recognition model based on 3D residual network and attention mechanism. Journal of Intelligent & Fuzzy Systems , IOS Press, 2022, 43(4): 5205--5214 （SCI，JCR Q4）
[8]Jialin Yu, Jun Liang*, Haoyang Mei, Jingwen Fan, Songsen Yu. Improved Few-Shot Learning for Images Classification. 2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS) , IEEE, 2022 （EI）
[9]J. Liang, D. Lou, Z. Zhang. The cubic graphs with finite cyclic vertex connectivity larger than girth. Discrete Mathematics, 2021, 344(2): 112197.(SCI, JCR Q3)
[10]S. Yu, Z. Lin, J. Liang*, G. Shu, J. Yu, A. Zhu. Sketch works ranking based on improved transfer learning model. Multimedia Tools and Applications, Springer , 2021, 80(25): 33663--33678(SCI, JCR Q2)
[11]J. Liang, Z. Zeng, S. Yu, Z. Hong. An Improved Chinese Text Classification Ensemble Model. 2021 5th International Conference on Digital Signal Processing, 2021 : 332--336（EI)
[12]Z.Qin, D. Lou, H. Zhu, J. Liang. Characterization of k-subconnected graphs. Applied Mathematics and Computation, 2020, 364: 124620. (SCI, JCR Q1)
[13]J. Liang, M. Du, et al. Distributed Algorithms for Cyclic Edge Connectivity and Cyclic Vertex Connectivity of Cubic Graphs. the 4th International Conference on Digital Signal Processing , 2020: 279-283. (EI)
[14]J. Liang, D. Lou. A polynomial algorithm determining cyclic vertex connectivity of k-regular graphs with fixed k . Journal of Combinatorial Optimization, 2019, 37(3): 1000-1010.（SCI，JCR Q3）
[15]J. Liang, D. Lou, Z. Qin, Q. Yu. A polynomial algorithm determining cyclic vertex connectivity of 4-regular graphs. Journal of Combinatorial Optimization, 2019, 38(2): 589-607.（SCI，JCR Q3）
[16]J. Liang, Y. Hou, et al. Bladder tumor grading and staging prediction of magnetic resonance imaging based on transfer learning. Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence , 2019: 575-579.(EI)
[17]J. Liang, Q. Liu, N. Nie, B. Zeng, Z. Zhang. An Improved Algorithm based on KNN and Random Forest. The 3rd International Conference on Computer Science and Application Engineering, 2019: 74 (EI)
[18]J.Liang.An ensemble method.2018 4th International Conference on Communication and Information Processing, 2018: 186-190. (EI)
[19]J. Liang, D. Lou, R. Nie. Algorithms for Determining the Cyclic Edge Connectivity of Cubic Graphs. DEStech Transactions on Engineering and Technology Research, 2017 (amsm).(CPCI-S)
[20]J. Liang, D. Lou, Z. Zhang. A Polynomial Time Algorithm for Cyclic Vertex Connectivity of Cubic Graphs. International Journal of Computer Mathematics, 2016,94(7):1501-1514. （SCI，JCR Q3）
[21]D. Lou, J. Liang, G. Han. A Linear Time Algorithm for the Line Subgraph Problem in Halin Graphs. International Conference on Applied Mathematics, Simulation and Modelling, 2016:161-164. (CPCI-S)
[22]聂瑞华, 谢文君, 梁军*. 一种改进的基于缓存池机制的小文件 I/O策略. 计算机工程与应用, 2016，52（16）：210-215. (CSCD)
[23]梁军, 聂瑞华. 面向对象存储的文件系统Lustre. 计算机工程与设计, 2015(6):1666-1670. (CSCD)
[24]梁军, 谢文君. 分布式文件系统 Lustre 的研究. 信息技术, 2014(4):52-54.
[25]梁军, 聂瑞华. 基于IPSec的VPN技术的研究. 计算机与现代化, 2009(11):57-59.
[26]梁军, 程灿. 一种改进的粒子群优化算法. 计算机工程与设计, 2008, 29(11):2893-2896.(CSCD)
[27]梁军, 王强, 程灿, 常棠棠. 基于离散粒子群算法的矩形件优化排样. 计算机工程与设计, 2007, 28(22):5359-5361. (CSCD)
Ø 开设课程
本科生课程：《算法设计与分析》、《算法竞赛与编程实践》
硕士研究生基础课程：《算法设计与分析》
Ø 联系方式
Email：liangjun@scnu.edu.cn
个人主页：https://url.scnu.edu.cn/record/view/index.html?key=743663da84d4a33ea84513699949579e