主讲课程 :
数字逻辑，C程序设计基础
指导研究生:
2021：
博士生：曾万康
硕士生：肖瑞杰，陆志阳
2020：
博士生：袁直敏
硕士生：邱日煌，肖航，施亮伟
2019：
博士生：苏燕飞
硕士生：张雯雯
在研项目:
跨谱段数据生成技术及应用，ATR 实验室稳定支持项目，60万元，主持
代表性论文:
部分期刊论文：
[TGRS] Liangwei Shi, Zhimin Yuan, Ming Cheng*, Yiping Chen , and Cheng Wang, DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds, IEEE Transactions on Geoscience and Remote Sensing, 2022.
[PR] Y Su, W Liu, Z Yuan, M Cheng*, Z Zhang, X Shen, C Wang, DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds, Pattern Recognition, 2022.
[ISPRS-JPRS] Shangshu Yu, Cheng Wang*, Zenglei Yu, Xin Li, Ming Cheng, Yu Zang, Deep regression for LiDAR-based localization in dense urban areas, ISPRS Journal of Photogrammetry and Remote Sensing, 172, 240-252, 2021.
[GRSL] Lili Lin, Wenwen Zhang, Ming Cheng*, Chenglu Wen, Cheng Wang, Planar Primitive Group-Based Point Cloud Registration for Autonomous Vehicle Localization in Underground Parking Lots, IEEE Geoscience and Remote Sensing Letters, 2021.
[ISPRS-JPRS] Senyuan Wang, Guorong Cai*, Ming Cheng, José Marcato Junior, Shangfeng Huang, Zongyue Wang, Songzhi Su, Jonathan Li, Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints, ISPRS Journal of Photogrammetry and Remote Sensing, 170, 29-44, 2020.
[JZJU] Xu YAN, Xiao-liang FAN*, Chuan-pan ZHENG, Yu ZANG, Cheng WANG, Ming CHENG, Long-biao CHEN, Urban traffic flow prediction algorithm based on graph convolutional neural networks, Journal of ZheJiang University (Engineering Science), 54(6), 1147-1155, 2020.
[NEUROCOMPUTING] Cheng Wang, Ming Cheng*, Ferdous Sohel, Mohammed Bennamoun, Jonathan Li, NormalNet: A voxel-based CNN for 3D object classification and retrieval, Neurocomputing, 323, 139-147, 2019.
[RS] Qiancong Fan, Feng Chen*, Ming Cheng, Shenlong Lou, Rulin Xiao, Biao Zhang, Cheng Wang, Jonathan Li, Ship detection using a fully convolutional network with compact polarimetric sar images, Remote Sensing, 11(18), 2171, 2019.
[ISPRS-JPRS] Dawei Zai, Jonathan Li*, Yulan Guo, Ming Cheng, Pengdi Huang, Xiaofei Cao, Cheng Wang, Pairwise registration of TLS point clouds using covariance descriptors and a non-cooperative game, ISPRS Journal of Photogrammetry and Remote Sensing, 134, 15-29, 2017.
[GRSL] Xinhuai Zou, Ming Cheng*, Cheng Wang, Yan Xia, Jonathan Li, Tree classification in complex forest point clouds based on deep learning, IEEE Geoscience and Remote Sensing Letters 14 (12), 2360-2364, 2017.
[T-ITS] Dawei Zai, Jonathan Li*, Yulan Guo, Ming Cheng, Yangbin Lin, Huan Luo, Cheng Wang, 3-D road boundary extraction from mobile laser scanning data via supervoxels and graph cuts, IEEE Transactions on Intelligent Transportation Systems, 19(3), 802-813, 2017.
[J-STARS] Pengdi Huang, Ming Cheng*, Yiping Chen, Dawei Zai, Cheng Wang, Jonathan Li*, Solar potential analysis method using terrestrial laser scanning point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(3), 1221-1233, 2017.
[T-ITS] Pengdi Huang, Ming Cheng*, Yiping Chen, Huan Luo, Cheng Wang, Jonathan Li*, Traffic sign occlusion detection using mobile laser scanning point clouds, IEEE Transactions on Intelligent Transportation Systems, 18(9), 2364-2376, 2017.
部分会议论文：
[ICCPR] Guoyan Li, Yiping Chen*, Ming Cheng, Cheng Wang, Jonathan Li, N-DPC: Dense 3D Point Cloud Completion Based on Improved Multi-Stage Network, Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 274-279, 2020.
[IAPRSS] Shanxin Zhang, Cheng Wang*, Ming Cheng, Jonathan Li, Automated Visibility Field Evaluation of Traffic Sign Based on 3D Lidar Point Clouds, International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019.
[IAPRSS] Qing Li, Cheng Wang*, Shaoyang Chen, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li, Deep Lidar Odometry, International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019.
[CVPR] Xuelun Shen, Cheng Wang*, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He, RF-Net: An end-to-end image matching network based on receptive field, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
[CVPR] Qing Li, Shaoyang Chen, Cheng Wang*, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li, LO-Net: Deep real-time lidar odometry, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
[CBD] Chao Chen, Xiaoliang Fan*, Chuanpan Zheng, Lujing Xiao, Ming Cheng, Cheng Wang, SDCAE: Stack denoising convolutional autoencoder model for accident risk prediction via traffic big data, 2018 Sixth International Conference on Advanced Cloud and Big Data, 2018.
[IGARSS] Qiancong Fan, Feng Chen*, Ming Cheng, Cheng Wang, Jonathan Li, A modified framework for ship detection from compact polarization SAR image, IEEE International Geoscience and Remote Sensing Symposium, 3539-3542, 2018.