谭 敏 副教授 硕士生导师
计算机科学与技术
机器学习，计算机科学，多媒体计算

tanmin@hdu.edu.cn



教师简介
发表论文
谭敏，女，生于1987年9月，杭州电子科技大学计算机学院图形图像所教师，硕士生导师，副教授。分别于2009年和2015年在中南大学和浙江大学获得信息与计算科学专业学士学位和计算机应用专业博士学位，博士生导师为吴朝晖教授，合作导师为潘纲、王跃明教授，并于2013年6月至2014年2月期间以实习生身份到微软亚洲研究院马毅教授的视觉计算组访问学习，导师为王宝元博士。自2015年10月起任职于杭州电子科技大学计算机学院，是图形图像研究所复杂系统建模与仿真教育部重点实验室和浙江省创新团队智能媒体实验室成员。???
??? 研究领域:计算机视觉与机器学习，涉及物体检测、图像分类、用户点击预测、多任务学习、深度学习等方向。现已以第一作者/通讯作者身份发表国内国际期刊会议论文25+篇，包括T-PAMI、T-IP、T-ITS等Top期刊；主持国家自然科学基金项目2项、浙江省自然科学基金面上项目1项，参与国家级省部级课题10余项。担任IEEE TIP, TCYB, ACM TIST, T-ITS, NEUCOM等多个国际顶级期刊和会议的审稿人。???
??? 个人网站：http://mil.hdu.edu.cn/people/min_tan/index.html

1. Jun Yu, Min Tan*, Hongyuan Zhang, Yong Rui, Dacheng Tao. Hierarchical Deep Click Feature Prediction for Fine-grained Image Recognition[J]. IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2019. (Online, corresponding author) (CCF A, JCR rank 1, IF=17.73)
2. Min Tan, Jun Yu, Hongyuan Zhang, Yong Rui, Dacheng Tao. Image Recognition by Predicted User-click Feature with Multi-domain Multi-task Transfer Deep Network[J]. IEEE Transactions on Image Processing (TIP), 2019, 28(12): 6047-6062. (CCF A, JCR rank 2, IF: 9.63)
3. Min Tan, Baoyuan Wang, Zhaohui Wu, Jingdong Wang, Gang Pan, Weakly Supervised Metric Learning for Traffic Sign Recognition in a LIDAR Equipped Vehicle, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2016, 17(5):1415-1427.（CCF B, JCR rank 1, IF= 4.051）
4. Min Tan, Jun Yu, Zhou Yu, et al. User-Click-Data-Based Fine-Grained Image Recognition via Weakly Supervised Metric Learning[J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2018, 14(3): 70. （JCR rank 3, IF= 2.019）
5. Min Tan, Zhenfang Hu, Baoyuan Wang, Jieyi Zhao, Yueming Wang, Robust object recognition via weakly supervised metric and template learning, Neurocomputing, 2016, 181: 96-107.（JCR rank 1,IF=3.241）
6. Min Tan, Gang Pan, Wang, Yueming, Yuting Zhang, Zhaohui Wu, L1-norm latent SVM for compact features in object detection, Neurocomputing, 2014,139: 56-64.（IF=3.241）
7. Tan M, Zhou J, Peng Z, et al. Fine-grained image classification with factorized deep user click feature[J]. Information Processing & Management, 2020, 57(3): 102186.（IF=3.892）
8. Tan M, Zhou J, Xu K, Peng Z, et al. Static Hand Gesture Recognition with Electromagnetic Scattered Field via Complex Attention Convolutional Neural Network[J]. IEEE Antennas and Wireless Propagation Letters, 2020 (Accepted).（IF=3.510）
9. Min Tan, Guijun Wang, Jian Zhou, et al. Fine-grained Classification via Hierarchical Bilinear Pooling with Aggregated Slack Mask[J]. IEEE ACESS, 2019, 7: 117944-117953. (JCR rank 2, IF=3.557）
10. Min Tan, Jun Yu, Qingming Huang, Weichen Wu, Click Data Guided Query Modeling with Click propagation and Sparse Coding, Multimedia Tools and Applications, 2018: 1-14.（JCR rank 3, IF=1.541）
11. Fei Gao, Yi Wang, Panpeng Li, Min Tan, et al. DeepSim: Deep similarity for image quality assessment[J]. Neurocomputing, 2017, 257: 104-114. （JCR rank 1,IF= 3.241）
12. Guangjian Zheng, Min Tan*, Jun Yu, et al, Fine-grained Image Recognition via Weakly Supervised Click Data Guided Bilinear CNN model, IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, P.R. China 2017.7.10-2017.7.14. (CCF B)
13. Min Tan, Jun Yu, Guangjian Zheng, Weichen Wu, Kejia Sun, Deep Neural Network Boosted Large Scale Image Recognition Using User Click Data, International Conference on Internet Multimedia Computing and Service, Xi’an, P.R. China, 2016.8.19-2016.8.21.
14. Weichen Wu, Min Tan*, Guangjian Zheng, Jun Yu, Query Modeling for Click Data based Image Recognition using Graph based Propagation and Sparse Coding, International Conference on Internet Multimedia Computing and Service, Qingdao, P.R. China, 2017.8.23-2016.8.25. (corresponding author)
15. Haichao Zhang, Min Tan*, Jun Yu. Deep click feature based query merging for robust image recognition[C]//Proceedings of the 10th International Conference on Internet Multimedia Computing and Service. ACM, 2018: 9. (corresponding author)
16. Zhenzhong Kuang, Jun Yu, Jianping Fan, Min Tan. Deep Point Convolutional Approach for 3D Model Retrieval[C]//2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018: 1-6. (CCF B)