【蒋林峰简历】

学历学位：博士研究生

职称：讲师

政治面貌：群众

研究方向：模式识别与机器视觉、条件随机场建模及其在机器视觉领域的应用。

邮箱:linfengjiang@cqut.edu.cn

【教育工作背景】

2019.07-今 重庆理工大学 两江人工智能学院 讲师

2013.09 - 2019.07 上海交通大学 控制科学与工程专业 工学博士

【科研情况】

主持和参与的科研项目:

1. 蒋林峰（项目负责人），重庆市科委自然科学基金面上项目 基于深度条件随机场模型的目标检测方法研究 No. cstc2021jcyj-msxm1646, 2021.

2. 蒋林峰（项目负责人），重庆市教委科学技术研究项目 基于深度条件随机场模型的图像语义分割方法研究 No. KJQN202001137, 2020.

3. 蒋林峰（参与），国家自然基金面上项目: 基于深度网络的图像表示分析和评价研究，No. 61673274, 2017.

u代表性科研论文:(SCI分区指JCR分区)

1.Linfeng Jiang, Jinsheng Ji, Weilin Zhong, Tao Zhang, Huilin Xiong. Exploiting context based on CNN and coding representations for pedestrian co-detection[J]. Multimedia Tools and Applications, 2018, doi: 10.1007/s11042-018-6806-7. (CCF C, JCR Q1区,SCI检索)

2.Linfeng Jiang, Huilin Xiong. Improved Hough transform by modeling context with conditional random fields for partially occluded pedestrian detection[J]. Optical Engineering, 2018, 57(6): 063101. (JCR Q2区,SCI检索)

3.Linfeng Jiang, Weilin Zhong, Jinsheng Ji, Huilin Xiong. Object codetection based on a higher-order conditional random field[J]. Journal of Electronic Imaging, 2019, 28(2): 023019.(JCR Q3区,SCI检索)

4.Linfeng Jiang, Huilin Xiong.Coding-based hough transform for pedestrian detection[C]. International Conference on Communication Technology (ICCT). IEEE, 2017: 1524-1528. (EI会议检索)

5.Weilin Zhong,Linfeng Jiang, Tao Zhang, Jinsheng Ji, Huilin Xiong. Combining multilevel feature extraction and multi-loss learning for person re-identification[J]. Neurocomputing, 2019, 334: 68-78.(CCF C, JCR Q1区,SCI检索)

6.Tao Zhang,Linfeng Jiang,Deliang Xiang,Yifang Ban,Ling Pei,Huilin Xiong. Ship detection from PolSAR imagery using the ambiguity removal polarimetric notch filter[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 157: 41-58.(JCR Q1区,SCI检索)

7.Jinsheng Ji,Linfeng Jiang, Tao Zhang,Weilin Zhong, Huilin Xiong. Adversarial erasing attention for fine-grained image classification[J]. Multimedia Tools and Applications, 2020(9).(CCF C, JCR Q1区, SCI检索)

8.Weilin Zhong,Tao Zhang,Linfeng Jiang,Jinsheng Ji,Zenghui Zhang.Discriminative Representation Learning for Person Re-identification via Multi-loss Training[J]. Journal of Visual Communication and Image Representation, 2019.(JCR Q2区,SCI检索)

9.Jinsheng Ji, Tao Zhang,Linfeng Jiang, Weilin Zhong, Huilin Xiong. Combing Multi-level Features for Remote Sensing Image Scene Classification with Attention Model[J].IEEE Geoscience and Remote Sensing Letters, 2019.(JCR Q1区,SCI检索)

10. Weilin Zhong,Linfeng Jiang, Tao Zhang, Jinsheng Ji, Huilin Xiong.A part-based attention network for person re-identification[J]. Multimedia Tools and Applications, 2020(9).(CCF C, JCR Q1区, SCI检索)

11.Weilin Zhong,Linfeng Jiang, Tao Zhang, Jinsheng Ji, Huilin Xiong. A multi-part convolutional attention network for fine-grained image recognition[C]. International Conference on Pattern Recognition (ICPR). IEEE, 2018: 1857-1862.(EI会议检索)

12.Jinsheng Ji,Linfeng Jiang,Tao Zhang, Weilin Zhong, Huilin Xiong.Learning two-level features for fine-grained image Classification[C]//2018 14th IEEE International Conference on Signal Processing (ICSP). IEEE, 2018: 544-549. (EI会议检索)

13.QifengShen,Linfeng Jiang, and Huilin Xiong. Person tracking and frontal face capture with UAV[C]. International Conference on Communication Technology (ICCT). IEEE, 2018: 1412-1416. (EI会议检索)

14.Chenxi Lei,LinfengJiang,JingshenJi,WeilinZhong,HuilinXiong. Weakly supervised learning of object-part attention model for fine-grained image classification[C]. International Conference on Communication Technology (ICCT). IEEE, 2018: 1222-1226. (EI会议检索)

15.Jinsheng Ji, Tao Zhang,Linfeng Jiang, Weilin Zhong, Huilin Xiong.Aircraft detection from remote sensing image based on a weakly supervised attention model. IGARSS. IEEE, 2019.(EI会议检索)

【主要社会兼职】

担任IEEE Transactions on Neural Networks and Learning Systems，IEEE Access，IEEE Geoscience and Remote Sensing Letters，Journal of Electronic Imaging，Journal of the Chinese Institute of Engineers等SCI期刊的审稿人。