个人信息Personal Information
教师拼音名称:Feng Rui
电子邮箱:fengrui@fudan.edu.cn
所在单位:计算机科学技术学院
学历:研究生毕业
性别:男
学位:博士学位
职称:研究员
在职信息:在职
主要任职:教师
博士生导师
硕士生导师
学科:计算机应用技术
曾获荣誉:
2020 曾获荣誉当选: 吴文俊人工智能科学技术奖二等奖-智能视频计算关键技术及其在公共安全中的应用
2020 曾获荣誉当选: 发明创新奖二等奖-视频大数据智能计算技术及产业化应用
2020 曾获荣誉当选: 产学研合作创新成果二等奖-社会安全视频大数据智能分析技术与应用
2016 曾获荣誉当选: 国家科学技术进步奖二等奖-1110工程
2016 曾获荣誉当选: 吴文俊人工智能科学技术奖二等奖-基于视听感知的服务机器人关键技术及应用
2015 曾获荣誉当选: 军队科技进步一等奖
学术论文 Publications
2022
Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao, CREAM: Weakly-Supervised Object Localization via Class RE-Activation Map, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, United States, June 2022.
Jiashuo Yu, Ying Cheng, Rui-Wei Zhao, Rui Feng, Yuejie Zhang, MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing, ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, October 2022.
Jiashuo Yu#, Jinyu Liu#, Rui-Wei Zhao, Rui Feng, Yuejie Zhang, Modality-Aware Contrastive Instance Learning with Self-Distillation for Audio-Visual Violence Detection, ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, October 2022.
Xinyu Huang, Youcai Zhang, Ying Cheng, Weiwei Tian, Ruiwei Zhao, Rui Feng, Yuejie Zhang, Yaqian Li, Yandong Guo, Xiaobo Zhang, IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training, ACM International Conference on Multimedia (ACM MM), Lisboa, Portugal, October 2022.
Jinyu Liu, Ying Cheng, Yuejie Zhang, Ruiwei Zhao, Rui Feng, Self-Supervised Video Representation Learning with Motion-Contrastive Perception, IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, China, July 2022.
Shuyu Miao, Shanshan Du, Rui Feng, Yuejie Zhang, Huayu Li, Tianbi Liu, Lin Zheng, Weiguo Fan, Balanced single-shot object detection using cross-context attention-guided network, Pattern Recognition (PR), Vol. 122, 108258, 2022.
Chen Yangdong, Zhang Zhaolong, Wang Yanfei, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan, AE-Net: Fine-grained Sketch-based Image Retrieval via Attention-Enhanced Network. Pattern Recognition (PR), Vol. 122, 108291, 2022.
Zheng Yi, Zhang Yuejie, Feng Rui, Zhang Tao, Fan Weiguo, Stacked multimodal attention network for context-aware video captioning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 32, pp. 31-42, January 2022.
Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng, CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors, European Conference on Computer Vision Workshop (ECCVW), Tel Aviv, Israel, October 2022.
Junlin Hou, Jilan Xu, Nan Zhang, Yuejie Zhang, Xiaobo Zhang, Rui Feng, Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification, European Conference on Computer Vision Workshop (ECCVW), Tel Aviv, Israel, October 2022.
2021
Ying Cheng, Ruize Wang, Jiashuo Yu, Rui-Wei Zhao, Yuejie Zhang, Rui Feng, Exploring Logical Reasoning for Referring Expression Comprehension, ACM International Conference on Multimedia (ACM MM), Chengdu, China, October 2021.
Junlin Hou, Jilan Xu, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi, CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis, IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Montreal, British Columbia, Canada, October 2021. (1st prize in the ICCV 2021 Covid-19 Diagnosis Competition of AI-enabled Medical Image Analysis Workshop)
Junlin Hou, Jilan Xu, Longquan Jiang, Shanshan Du, Rui Feng, Yuejie Zhang, Fei Shan, Xiangyang Xue, Periphery-aware COVID-19 Diagnosis with Contrastive Representation Enhancement, Pattern Recognition (PR), Vol. 118, 108005, 2021.
Shuyu Miao, Rui Feng, Object-Oriented Relational Distillation for Object detection, IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Toronto, Ontario, Canada, June 2021.
Ying Cheng, Mengyu He, Jiashuo Yu, Rui Feng, Improving Multimodal Speech Enhancement By Incorporating Self-supervised And Curriculum Learning, IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Toronto, Ontario, Canada, June 2021.
Shuaicheng Li, Shuyu Miao, Rui-Wei Zhao, Rui Feng, Temporally Coarse to Fine Snippets Relationship Learning with Graph Convolution for Temporal Action Proposal Generation, IEEE International Conference on Multimedia and Expo (ICME), Virtual, July 2021.
Jiashuo Yu, Ying Cheng, Rui Feng, MPN: Multimodal Parallel Network for Audio-Visual Event Localization, IEEE International Conference on Multimedia and Expo (ICME), Virtual, July 2021.
Jiawang Cao, Lulu Jiang, Junlin Hou, Longquan Jiang, Ruiwei Zhao, Weiya Shi, Fei Shan, Rui Feng, Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification, IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, United States, September 2021.
Lulu Jiang, Jiawang Cao, YuXin Li, Xuelin Liu, Ruiwei Zhao, Rui Feng, Atrous High-Order Attention Network for Medical Image Segmentation, International Symposium on Bioinformatics Research and Applications (ISBRA), China, November 2021.
Nan Zhang, Junlin Hou, Rui-Wei Zhao, Rui Feng, Yuejie Zhang, Semi-supervised Medical Image Segmentation with Distribution Calibration and Non-local Semantic Constraint, International Conference on Bioinformatics and Biomedicine (BIBM), Virtual, December 2021.
Wei Ji#, Weiwei Tian#, Wenbin Pan, Siqi Sun, Hui Jiang, Rui Feng, Yuejie Zhang, Rui-Wei Zhao, Gang Jin, CellDet: Dual-Task Cell Detection Network for Quantitative IHC-Stained Image Analysis, International Conference on Bioinformatics and Biomedicine (BIBM), Virtual, December 2021.
Xu Jilan, Hou Junlin, Zhang Yuejie, Feng Rui, Ruan Chunyang, Zhang Tao, Fan Weiguo, Histopathology Image Analysis with deformation Representation Learning, International Conference on Bioinformatics and Biomedicine (BIBM), Virtual, December 2021.
Wenxi Li, Zhuoqun Cao, Qian Wang, Songjian Chen, Rui Feng, Learning Error-Driven Curriculum for Crowd Counting, IEEE International Conference on Pattern Recognition (ICPR), Milan, Italy, January 2021.
2020
Ying Cheng, Ruize Wang, Zhihao Pan, Rui Feng, Yuejie Zhang, Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning, ACM International Conference on Multimedia (ACM MM), Seattle, Washington, United States, October 2020.
Zhaolong Zhang, Yuejie Zhang, Rui Feng, Tao Zhang, Weiguo Fan, Zero-Shot Sketch-based Image Retrieval via Graph Convolution Network, AAAI Conference on Artificial Intelligence (AAAI), New York, New York, United States, February 2020.
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, United Kingdom, July 2020.
Yang Juexu, Zhang Yuejie, Feng Rui, Tao Zhang, Fan Weiguo, Deep Reinforcement Hashing with Redundancy Elimination for Effective Image Retrieval, Pattern Recognition (PR), Vol. 100, 107116, 2020.
Wang Yanfei, Huang Fei, Zhang Yuejie, Feng Rui, Zhang Tao, Fan Weiguo, Deep Cascaded Cross-modal Correlation Learning for Fine-grained Sketch-based Image Retrieval, Pattern Recognition (PR), Vol. 100, 107148, 2020.
Li Wenjie, Zheng Yi, Zhang Yuejie, Feng Rui, Tao Zhang, Fan Weiguo, Cross-modal Retrieval with Dual Multi-angle Self-attention, Journal of the Association for Information Science and Technology (JASIST), Vol. 72, pp. 46-65, 2020.
Shuyu Miao, Rui Feng, Yuejie Zhang, Representation Reconstruction Head for Object Detection, IEEE International Conference on Image Processing (ICIP), United Arab Emirates, October 2020. EI: 20210109724322.
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.
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), Vol. 8, No. 7, 2020.
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, United Kingdom, July 2020.
Tong Wei, Junlin Hou, Rui Feng, Fuzzy Graph Neural Network for Few-Shot Learning, IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, July 2020.
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, United Kingdom, July 2020.
Bo Zhang, Rui Feng, On the Possibility of Artificial Consciousness, Basic & Clinical Pharmacology & Toxicology, Vol. 127, pp. 6-9, 2020.
Jianxu Luo, Jialiang Wang, Bin Liu, Rui Feng, Lina Lu, Haidong Zhou, Automated Diabetic Retinopathy Grading and Lesion Detection based on the Modified R-FCN Object Detection Algorithm, IET Computer Vision, Vol. 14, No. 1, pp.1-8, 2020.
Before 2020
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.
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, California, United States, October 2017.
Shi Zhong, Jian Pu, Yu-Gang Jiang, Rui Feng, Xiangyang Xue, Flexible Multi-task Learning with Latent Task Grouping, Neurocomputing, Vol. 189, pp. 179-188, 2016.
Yong Cheng, Zhengxiang Cai, Rui Feng, Cheng Jin,Yuejie Zhang, Tao Zhang, Cross-Modal Image-Tag Relevance Learning for Social Images, ACM International Conference on Multimedia (ACM MM), Brisbane, Australia, October 2015.
Yu-Gang Jiang, Yanran Wang, Rui Feng, Xiangyang Xue, Yingbin Zheng, Hanfang Yang, Understanding and Predicting Interestingness of Videos, AAAI Conference on Artificial Intelligence (AAAI), Bellevue, Washington, United States, July 2013.
Yanran Wang, Qi Dai, Rui Feng, Yu-Gang Jiang, Beauty is Here: Evaluating Aesthetics in Videos Using Multimodal Features and Free Training Data, ACM International Conference on Multimedia (ACM MM), Barcelona, Spain, October 2013.
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, Xiangyang Xue, Web Image Retrieval ReRanking with Multi-view Clustering, International World Wide Web Conference (WWW), April 2009.