个人简介
| 2023年毕业于厦门大学，获工学博士学位。主要研究方向包括深度学习、计算机三维视觉、自动驾驶、激光雷达点云处理等相关领域。 |
工作经历
| 2024年1月-至今 西华大学计算机与软件工程学院 |
教育经历
研究方向
深度学习，三维视觉，激光雷达点云处理 |
Huifang Feng, Wen Li, Zhipeng Luo, Yiping Chen, Sarah Narges Fatholahi, Ming Cheng, Cheng Wang, José Marcato Junior, and Jonathan Li. GCN-based Pavement Crack Detection using Mobile LiDAR Point Clouds[J]. IEEE Transactions on Intelligent Transportation Systems (TITS), 2021, vol. 23, no. 8, pp. 11052-11061. (中科院一区TOP期刊, CCF-B类期刊, IF=9.551)
Huifang Feng, Yiping Chen, Zhipeng Luo, Wentao Sun, Wen Li, and Jonathan Li. Automated Extraction of Building Instances from Dual-Channel Airborne LiDAR Point Clouds[J]. International Journal of Applied Earth Observation and Geoinformation (JAG), 2022, vol. 114, pp. 103042. (中科院一区TOP期刊, IF=7.672)
Huifang Feng, Lingfei Ma, Yongtao Yu, Yiping Chen, and Jonathan Li. SCL-GCN: Stratified Contrastive Learning Graph Convolution Network for Pavement Crack Detection from Mobile LiDAR Point Clouds[J]. International Journal of Applied Earth Observation and Geoinformation (JAG), 2023, vol. 118, pp. 103248. (中科院一区TOP期刊, IF=7.672)
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han. SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds[C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp.13591-13600. (CCF-A类会议，计算机视觉领域顶级国际会议)
Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han. NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function[C]. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023, 36. (CCF-A类会议，机器学习领域顶级国际会议)
Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han. Neural Gradient Learning and Optimization for Oriented Point Normal Estimation[C]. The 16th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023, pp.1-9. (计算机图形学顶级国际会议)
李军, 丰慧芳, 陈一平, 马凌飞，李海峰. 一种基于车载激光点云的路面裂缝检测方法：中国, CN112785548A[P]. 2021-05-11.