个人简介
林洛君,女,1995年生,博士研究生学历,于2020年加入福州大学数计学院认知系统与信息处理联合实验室。目前的研究方向包括:自主学习(Self-Supervised Learning)、无监督域适应(Unsupervised Domain Adaptation)、域泛化(Domain Generalization)、人脸美丽感知(Facial Beauty Perception)、人脸美化(Face Beautification)等。担任Pattern Recognition (PR), Neurocomputing,IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM),IEEE Transactions on Affective Computing等期刊的审稿人。现主持福建省中青年教师教育科研项目(科技类)1项、校级项目1项。
学习经历
2014.9~2020.6:硕博连读,华南理工大学;
2010.9~2014.6:本科,云南大学。
科研项目
(1)基于深度学习的人脸美丽吸引力评价与分析,校级项目,主持,2022.9-2022.9.
(2)基于深度学习的个性化人脸美丽预测和推荐,福建省中青年教师教育科研项目,主持,2020.12-2023.5.
近年发表的主要论文
(1)Luojun Lin, Lingyu Liang, Lianwen Jin. Regression Guided by Relative Ranking Using Convolutional Neural Network (R3CNN) for Facial Beauty Prediction. IEEE Trans. on Affective Computing, 2019. (JCR 一区,IF=6.28);
(2)Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen. Attribute-Aware Convolutional Neural Network for Facial Beauty Prediction. IJCAI, 2019. (CCF A类会议);
(3)Luojun Lin, Lingyu Liang, Lianwen Jin. R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction. ICPR, 2018. (CCF C类会议);
(4)Lingyu Liang, Luojun Lin, Lianwen Jin. SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction. ICPR, 2018. (CCF C类会议);
(5)Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu. SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-word Verification. AAAI, 2020. (CCF A类会议);
(6)Tasweer Ahmad, Lianwen Jin, Luojun Lin. Action Recognition using Attribute-Joints Graph Convolutional Neural Networks. IEEE Access, 2019. (JCR一区);
(7)Tasweer Ahmad, Lianwen Jin, Luojun Lin. Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance. Neurocomputing, 2021. (JCR一区);
(8)Weijie Chen, Shiliang Pu, Di Xie, Shicai Yang, YiLu Guo, Luojun Lin. Unsupervised Image Classification for Deep Representation Learning. ECCV workshop, 2020.