冯瑞

  职称:研究员, 博导

  电话:021-51355534

  邮箱:fengrui@fudan.edu.cn




个人简介

 2003年于上海交通大学获得工学博士,研究员,博士生导师。研究领域为人工智能、跨媒体智能、视频大数据。国家信标委大数据标准化工作组委员,上海人工智能中长期发展规划总体专家组副组长,上海视频技术与系统工程研究中心常务副主任,2018年苏州市科技领军人才,中国计算机学会YOCSEF上海2008-2009年度主席。



研究方向

 研究领域为人工智能、医学影像智能分析、跨媒体智能、视频大数据。



代表性成果

在国内外期刊和会议上发表论文40余篇,专著1本,申请国家发明专利34项(15项授权),获得软件著作权12项。主持中办警卫局,国家科技部支撑计划,国家863计划,教育部博士点基金等多个国家级研究课题。荣获省部级科学技术一等奖1项、二等奖4项。

1.Huayu Li, Shuyu Miao, Rui Feng, DG-FPN:Learning Dynamic Feature Fusion Based On Graph Convolution Network For Object Detection, IEEE International Conference on Multimedia and Expo(ICME), London, UK, July.2020.
2.Shuyu Miao, Rui Feng, Yuejie Zhang, Weiguo Fan, Learning Class-Based Graph Representation for Object Detection, European Conference on Artificial Intelligence(ECAI), Santiago, Compostela, August.2020.
3.Tong Wei, Junlin Hou and Rui Feng ,Fuzzy Graph Neural Network for Few-Shot Learning, IEEE International Joint Conference on Neural Networks(IJCNN), Glasgow, UK, July.2020.
4.Yang Shuyi, Jiang Longquan, Cao Zhuoqun, Wang Liya, Cao Jiawang, Feng Rui, Zhang Zhiyong, Xue Xiangyang, Shi Yuxin, Shan Fei, Deep learning for detecting corona virus disease 2019 (COVID-19) on high-resolution computed tomography: a pilot study, Annals of Translational Medicine(ATM 2020), Accepted.
5.Zhaolong Zhang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan, Zero-Shot Sketch-based Image Retrieval via Graph Convolution Network, The 34rd AAAI Conference on Artificial Intelligence,(AAAI), New York, USA, Feb.2020 .
6. Qian Wang, Wenxi Li, Songjian Chen, Rui Feng, A Dynamic-Attention on Crowd Region with Physical Optical Flow Features for Crowd Counting, IEEE International Joint Conference on Neural Networks(IJCNN), Glasgow, UK, July.2020.
7. Xinlong Xiao, Yuejie Zhang, Rui Feng, Tao Zhang, Shang Gao, Weiguo Fan,Video Captioning With Temporal And Region Graph Convolution Network,IEEE International Conference on Multimedia and Expo(ICME), London, UK, July.2020.
8.Yanfei Wang, Fei Huang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan, Deep cascaded cross-modal correlation learning for fine-grained sketch-based image retrieval, accepted by Pattern Recognitions, December.2019.
9.Juexu Yang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan ,Deep reinforcement hashing with redundancy elimination for effective image retrieval, Pattern Recognition, accepted by Pattern Recognitions, November.2019.
10.Zhanxiong Wang, Keke He, Yanwei Fu, Rui Feng, Yu-Gang Jiang, and Xiangyang Xue, Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction, ACM International Conference on Multimedia Retrieval(ACM ICMR), Bucharest, Romania, June.2017.
11.Keke He, Zhanxiong Wang, Yanwei Fu,Rui Feng, Yu-Gang Jiang, Xiangyang Xue, Adaptively Weighted Multi-task Deep Network for Person Attribute Classification, ACM International Conference on Multimedia(ACM MM), Mountain View, CA, US, October.2017.
12.Shi Zhong, Jian Pu, Yu-Gang Jiang, Rui Feng, Xiangyang Xue, Flexible multi-task learning with latent task grouping, Neurocomputing[SCI], vol.189, pp.179-188, 2016.
13.Yong Cheng, Zhengxiang Cai, Rui Feng, Cheng Jin1,Yuejie Zhang, Tao Zhang, Cross-Modal Image-Tag Relevance Learning for Social Images, ACM International Conference on Multimedia(ACM MM), Brisbane, Australia, October.2015.