刘伟，理学博士。2015年6月毕业于厦门大学智能科学与技术系。2015年6月起就职于华东交通大学。2019年11月起前往加拿大滑铁卢大学公派访学一年。以一作发表高水平期刊和会议学术论文数篇，包含ISPRS JPRS、JAG、KBS、Neurocomputing和CVPR等。担任JAG客座编辑。主持一项国家自然科学基金、三项江西省自科学基金和一项教育厅项目。
研究方向：遥感数据解析、计算机视觉、机器学习。
主持的科研项目
[1] 江西省自然科学基金面上项目，20232BAB203057，基于半监督学习的双时相遥感图像语义变化检测研究.2023/07-2026/6.
[2] 江西省自然科学基金面上项目（全额资助），20202BAB202021，基于领域自适应和多任务学习的自然场景下车辆细粒度分类研究，2020/01-2021/12.
[3] 武夷学院认知计算与智能信息处理福建省高校重点实验室，KLCCIIP2019201，基于弱监督学习的车辆细粒度分类研究，2019/11-2021/12.
[4] 国家自然科学基金（地区项目），61662024，基于跨模态学习和条件随机场的RGBD室内场景理解研究，2017/01-2020/12.
[5] 江西省自然科学基金（青年项目），20171BAB212013，基于多模态学习和多任务模型的RGB-D图像场景理解，2017/01-2018/12.
[6] 江西省教育厅科学技术研究项目（青年项目），GJJ170423，面向陶瓷文化保存与展示的三维模型多视角特征抽取研究，2018/01-2019/12.
主要的论文
[1] Wei Liu, Yiyuan Lin, Weijia Liu, Yongtao Yu , Jonathan Li. An Attention-Based Multiscale Transformer Network for Remote Sensing Image Change Detection[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 202: 599-609.
[2] Hongbin Zhang, Xiang Zhong, Guangli Li, Wei Liu, Jiawei Liu, Donghong Ji, Xiong Li, Jianguo Wu. Bridging ConvNeXt and U-Net for medical image segmentation[J]. Computers in Biology and Medicine, 2023: 106960.
[3] Wei Liu, Jiawei Liu, Zhipeng Luo, Hongbin Zhang, Kyle Gao, Jonathan Li. Weakly supervised high spatial resolution land cover mapping based on self-training with weighted pseudo-labels[J]. International Journal of Applied Earth Observation and Geoinformation, 2022, 112: 102931.
[4] Wei Liu, Zhiming Luo, Yuanzheng Cai, YingYua, Yang Ke, José Marcato Juniore, Wesley Nunes Gonçalvese, Jonathan Li. Adversarial Unsupervised Domain Adaptation for 3D Semantic Segmentation with Multi-Modal Learning[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2021,176: 211-221.
[5] Qiutong Yu, Wei Liu, Wesley Nunes Gonalves, José Marcato Junior, Jonathan Li. Spatial Resolution Enhancement for Large-Scale Land Cover Mapping via Weakly Supervised Deep Learning[J]. Photogrammetric Engineering & Remote Sensing, 2021, 87(6): 405-412.(The 2022 Esri Award for Best Scientific Paper in GIS-3rd Place)
[6] Yuanzheng Cai, Tao Wang, Wei Liu, Zhiming Luo. A robust interclass and intraclass loss function for deep learning based tongue segmentation[J]. Concurrency and Computation: Practice and Experience, 2020: e5849.
[7] Wei Liu, Zhiming Luo and Shaozi Li. Improving deep ensemble vehicle classification by using selected adversarial samples[J]. Knowledge-Based Systems, 2018, 160: 167-175.
[8] Wei Liu, Miaohui Zhang, Zhiming Luo and Yuanzheng Cai . An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors, IEEE Access, 2017,5: 24417–24425.
[9] Wei Liu, Shaozi Li , Donglin Cao, Songzhi Su, Rongrong Ji. Detection based object labeling of 3D point cloud for indoor scenes, Neurocomputing, 2016, 174: 1101-1106.
[10] Wei Liu, Shaozi Li, Xianming Lin, YunDong Wu, Rongrong Ji. Spectral–spatial co-clustering of hyperspectral image data based on bipartite graph, Multimedia Systems, 2016, 22(3): 355-366.
[11] Wei Liu., Rongrong Ji, Shaozi Li . Towards 3D object detection with bimodal deep boltzmann machines over RGBD imagery, Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. 2015:3013-3021.
联系方式
办公室：华东交通大学南区创新楼（教19）西411
邮箱：weiliu@ecjtu.edu.cn
