王路路

【来源:新奥葡萄京 | 发布日期:2021-08-25 】

基本信息

姓名

王路路

系、部门

计算机系

职称/职务

讲师

导师类别

硕士生导师

学位

博士

电子邮箱

luluwang@kust.edu.cn

办公地点

信自楼307

研究方向

图像处理、MRI图像超分辨率、深度学习

个人情况简介

王路路,博士,硕士生导师。2023年毕业于重庆大学获得计算机科学与技术博士学位,同年8月入职新奥葡萄京(中国)有限公司。主要研究方向为机器学习、图像处理、MRI图像超分辨率、CT图现象去噪、MRI图像脑部肿瘤分割等。

学习工作经历

2022.08至今:新奥葡萄京,新奥葡萄京,专任教师

2016.09- 2022.06:重庆大学,计算机科学与技术,博士

2012.09- 2016.06:新奥葡萄京,物联网工程专业,学士

代表性成果

教学/科研项目

1. 云南省计算机技术应用重点实验室开放基金项目

2. 云南省教育厅科学研究基金

论文

1. Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia., Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network[C]// IEEE International Conference on Bioinformatics and Biomedicine, San Diego, CA, USA,IEEE,2019, pp. 885–891.(CCF B类会议)

2. Lulu Wang, Jinglong Du, Huazheng Zhu, Zhongshi He, Yuanyuan Jia., Brain MR image Super-resolution using 3D Feature Attention Network [C]// IEEE International Conference on Bioinformatics and Biomedicine, Seoul, South Korea ,IEEE,2020, pp.1151-1155.(CCF B类会议)

3. Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia. 3D Dense Convolutional Neural Network for Fast and Accurate Single MR Image Super-resolution Reconstruction[J]. Computerized Medical Imaging and Graphics, 2021,93:101973.

4. Lulu Wang, Huazheng Zhu, Zhongshi He, Yuanyuan Jia, Jinglong Du. Adjacent Slices Feature Transformer Network for Single Anisotropic 3D Brain MRI Image Super-Resolution [J]. Biomedical Signal Processing and Control, 2022, 72:103339.

5. Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia. Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network[C]//IEEE International Conference on Bioinformatics and Biomedicine, Madrid, Spain,IEEE,2018, pp. 349–355.(CCF B类会议)

6. Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia. Brain MRI Super-resolution using 3D Dilated Convolutional Encoder-Decoder Network, IEEE Access, 2020,vol. 8, pp. 18938–18950.

7. Chenjiao Zhang, Lulu Wang, Xing Wu and Zhongshi He: 3D Multi-Branch Encoder-Decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans[C]//International Joint Conference on Neural Networks,IEEE,2021. DOI: 10.1109/IJCNN52387.2021.9533851.(CCF C类会议)

8. Xuecong Jiang, Lulu Wang, Zhongshi He, Jinglong Du. Learning a Frequency Separation Network with Hybrid Convolution and Adaptive Aggregation for Low-dose CT Denoising[C], //IEEE International Conference on Bioinformatics and Biomedicine, Houston, Texas, USA,IEEE,2021, pp: 919-925.(CCF B类会议)

9. Wanqi Zhang, Lulu Wang, Wei Chen, Yuanyuan Jia, Zhongshi He, Jinglong Du, 3D Cross-scale Feature Transformer Network for Brain MR Image Super-Resolution. International Conference on Acoustics, Speech and Signal Processing, Singapore,IEEE,2022, pp: 1356-1360.(CCF B类会议)

主讲课程

1. 《计算机图像处理》

2. 《论文写作指导》

3. 《数据结构》

指导员工竞赛

1. 全国老员工数学建模竞赛

2. 蓝桥杯全国软件和信息技术专业人才大赛国赛