赖吕龙

研究方向：3D计算机视觉，小样本学习

办公邮箱：lailvlong@qq.com

个人简介：

赖吕龙，广东技术师范大学计算机科学学院讲师，2018年和2024年于华南理工大学分别获得工学学士和工学博士学位，2024年6月至2025年2月于香港浸会大学完成半年博士后访问。其主要研究方向为3D计算机视觉和小样本学习，在相关领域发表学术论文6篇，其中以第一作者身份发表SCI一区Top期刊IEEE Trans. on Multimedia论文2篇、IEEE Trans. on Neural Networks and Learning Systems论文1篇、Knowledge-Based Systems论文1篇。教学方面，其比较擅长机器学习、计算机视觉、计算机网络、操作系统等课程的教授。

代表性论文:

1. Lvlong Lai, Jian Chen, Qingyao Wu, “Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring”, IEEE Transactions on Multimedia (IEEE TMM), 2023, 26: 1448-1459.

2. Lvlong Lai, Jian Chen, Guosheng Lin, Qingyao Wu, “CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification”, IEEE Transactions on Multimedia (IEEE TMM), 2024, 26: 9241-925,.

3. Lvlong Lai, Jian Chen, Zehong Zhang, Qingyao Wu, “CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction”, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024, 36: 5522-5534.

4. Lvlong Lai, Jian Chen, Zehong Zhang, Guosheng Lin, Qingyao Wu, “Tackling Background Ambiguities in Multi-Class Few-Shot Point Cloud Semantic Segmentation”, Knowledge-Based Systems (KBS), 2022, 253: 109508.

5. Lvlong Lai, Jian Chen, Huichou Huang, Qingyao Wu, “Exploring A CAM-Based Approach for Weakly Supervised Fire Detection Task”, IEEE International Conference on e-Business Engineering (IEEE ICEBE), 2021: 134-138.

6. Wenjun Wang, Lvlong Lai, Jian Chen, Qingyao Wu, “CAM-based Non-local Attention Network for Weakly Supervised Fire Detection”. Service Oriented Computing and Applications (SOCA), 2022, 16(2): 133-142.