冯松鹤 Songhe Feng
职 称： 教授
学 位：博士
邮 箱：shfeng@
办公电话：
个人履历
教育经历：
.09 - .01 北京交通大学, 计算机与信息技术学院, 计算机应用技术专业, 博士, 导师：须德 教授
1999.09 - .06 北京交通大学, 计算机与信息技术学院, 计算机科学与技术专业, 学士
工作经历：
.12 - 至今北京交通大学，计算机与信息技术学院，教授
.09 - .12 德国德累斯顿工业大学，计算机科学系，国家公派访问学者
.10 - .10 美国密歇根州立大学，计算机科学与工程系，国家公派访问学者，合作导师：Prof. Rong Jin
.12 - .11 北京交通大学，计算机与信息技术学院，副教授
.01 - .11 北京交通大学，计算机与信息技术学院，讲师
.04 - .12 北京交通大学，计算机与信息技术学院，师资博士后
研究方向
理论层面：聚焦于弱监督机器学习算法研究，包括多标记学习(Multi-Label Learning)、偏标记学习(Partial-Label Learning)、多示例学习(Multi-Instance Learning)、多视角学习(Multi-View Learning)等；
应用层面：聚焦于图像语义理解算法研究，包括弱监督学习框架下的大规模网络图像分类(Weakly Supervised Large-Scale Image Classification)、图像显著性检测(Image Salient Object Detection)等；
发表论文和著作
代表性论文：
(* indicates the first author is my graduate student)
Latest News:
Gengyu Lyu*,Songhe Feng. GM-PLL: Graph Matching based Partial Label Learning.IEEE Trans. on Knowledge and Data Engineering.(Accepted, CCF A类)
Gengyu Lyu*,Songhe Feng.Partial Label Learning via Low Rank Representation and Label Propagation.Soft Computing. (Accepted)
Honglin Quan*,Songhe Feng.Improving Person Re-identification via Attribute-identity Representation and Visual Attention Mechanism.Multimedia Tools and Applications. (Accepted)
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng, Xiaohui Hou.Deformable Surface Tracking by Graph Matching.ICCV, . (Accepted, CCF A类)
Gengyu Lyu*,Songhe Feng. A Self-paced RegularizationFramework for Partial-Label Learning.IEEE Trans. on Cybernetics. (Major Revision)
代表性论文：
Songhe Feng, Zheyun Feng, Rong Jin. Learning to Rank Image Tags with Limited Training Examples.IEEE Trans. on Image Processing, 24(4), pp. 1223-1234, . (SCI, CCF A类)
Songhe Feng, Congyan Lang, Jiashi Feng, Jiebo Luo. Human Facial Age Estimation by Cost Sensitive Label Ranking and Trace Norm Regularization.IEEE Trans. on Multimedia, 19(1), pp. 136-148, . (SCI, CCF B类)
Gengyu Lyu*,Songhe Feng. GM-PLL: Graph Matching based Partial Label Learning.IEEE Trans. on Knowledge and Data Engineering.(SCI, CCF A类)
Songhe Feng, Congyan Lang, Bing Li. Towards Relevance and Saliency Ranking of Image Tags.ACM Multimedia, pp.917-920, . (CCF A类)
Lijuan Sun*,Songhe Feng, Tao Wang, Congyan Lang, Yi Jin. Partial Multi-Label Learning by Low-Rank and Sparse Decomposition.AAAI, . (CCF A类)
Bing Li,Songhe Feng.Scaring or pleasing: exploit emotional impact of an image.ACM Multimedia, pp.1365-1366, . (CCF A类)
Zheyun Feng,Songhe Feng, Rong Jin. Image Tag Completion by Noisy Matrix Recovery.ECCV, pp. 424-438, .(CCF B类)
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng. Graph Matching with Adaptive and Branching Path Following.IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(12), pp. 2853-2867, . (SCI, CCF A类)
Congyan Lang, Jiashi Feng,Songhe Feng,Jingdong Wang, Shuicheng Yan. Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection.IEEE Trans. On Neural Networks and Learning Systems, 27(6), pp. 1190-1200, .(SCI, CCF B类)
Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang,Songhe Feng, YiJin. Robust Object Tracking based on Temporal and Spatial Deep Network.ICCV, pp. 1153-1162, . (CCF A类)
Chenjing Yan, Congyan Lang,Songhe Feng. Facial Age Estimation Based on Structured Low-rank Representation.ACM Multimedia, pp. 1207-1210, .(CCF A类)
弱监督多标记学习等相关领域：
Gengyu Lyu*,Songhe Feng. GM-PLL: Graph Matching based Partial Label Learning.IEEE Trans. on Knowledge and Data Engineering.(Accepted, CCF A类)
Lijuan Sun*,Songhe Feng, Tao Wang, Congyan Lang, Yi Jin. Partial Multi-Label Learning by Low-Rank and Sparse Decomposition.AAAI, .(CCF A类)
Gengyu Lyu*,Songhe Feng.Partial Label Learning via Low Rank Representation and Label Propagation.Soft Computing. (Accepted, CCF C类)
Lijuan Sun*,Songhe Feng, Gengyu Lyu, Congyan Lang. Robust Semi-Supervised Multi-Label Learning byTriple Low-Rank Regularization.PAKDD, . (CCF C类)
Gengyu Lyu*,Songhe Feng. A Self-paced RegularizationFramework for Partial-Label Learning.IEEE Trans. on Cybernetics. (Major Revision)
Gengyu Lyu*,Songhe Feng.HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-rank Regularization.ACM Trans. on Intelligent Systems and Technology.(Under Review)
Xiaoying Wang*,Songhe Feng, Congyan Lang.Semi-supervised dual low-rank feature mapping for multi-label image annotation.Multimedia Tools and Applications, 78(5), pp. 13149-13168, .(SCI, CCF C类)
Wenying Huang*,Songhe Feng. Partial Label Learning via Low-rank Representation and Label Propagation.ICIMCS, .
Songhe Feng, Congyan Lang. Graph Regularized Low-rank Feature Mapping for Multi-label Learning with Application to Image Annotation.Multidimensional Systems and Signal Processing, 29(1), pp. 1351-1372, .(SCI)
图像标注等相关领域:
Songhe Feng, Zheyun Feng, Rong Jin. Learning to Rank Image Tags with Limited Training Examples.IEEE Trans. on Image Processing, 24(4), pp. 1223-1234, . (SCI, CCF A类)
Songhe Feng, Congyan Lang, Jiashi Feng, Jiebo Luo. Human Facial Age Estimation by Cost Sensitive Label Ranking and Trace Norm Regularization.IEEE Trans. on Multimedia, 19(1), pp. 136-148, . (SCI, CCF B类)
Yanan Dong, Congyan Lang,Songhe Feng.General Structured sparse learning for human facial age estimation.Multimedia Systems, 25(1), pp. 49-57, .(SCI, CCF C类)
Mengxia Yin, Congyan Lang, Zun Li,Songhe Feng, Tao Wang.Recurrent Convolutional Network for Video-based Smoke Detection.Multimedia Tools and Applications, 78(1), pp. 237-256, . (SCI, CCF C类)
Songhe Feng, Weihua Xiong. Hierarchical sparse representation based multi-instance semi-supervised learning with application to image categorization.Signal Processing, 94(1), pp.595-607, . (SCI, CCF C类)
Songhe Feng, De Xu. Transductive Multi-Instance Multi-Label Learning Algorithm with Application to Automatic Image Annotation.Expert Systems with Applications,37(1), pp. 661-670, Jan.. (SCI, CCF C类)
Congyan Lang,Songhe Feng. Supervised sparse patch coding towards misalignment-robust face recognition.Journal of Visual Communication and Image Representation, 24(2): 103-110, . (SCI, CCF C类)
Chenjing Yan, Congyan Lang,Songhe Feng. Facial Age Estimation Based on Structured Low-rank Representation.ACM Multimedia, pp. 1207-1210, .(CCF A类)
Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang,Songhe Feng. Robust Object Tracking based on Temporal and Spatial Deep Networks.ICCV, pp.1153-1162, .(CCF A类)
社群图像语义标签过滤等相关领域：
Songhe Feng, Congyan Lang, Bing Li. Towards Relevance and Saliency Ranking of Image Tags.ACM Multimedia, pp.917-920, . (CCF A类)
Zheyun Feng,Songhe Feng, Rong Jin. Image Tag Completion by Noisy Matrix Recovery.ECCV, pp. 424-438, .(CCF B类)
Songhe Feng, Congyan Lang, De Xu. Beyond Tag Relevance: Integrating Visual Attention Model and Multi-Instance Learning for Tag Saliency Ranking. In: Proc of. ACM International Conference on Image and Video Retrieval (ACM CIVR), pp.288-295, . (CCF B类)
Songhe Feng, Congyan Lang, Hongzhe Liu, Xiankai Huang. Adaptive All-Season Image Tag Ranking by Saliency-Driven Image Pre-Classification.Journal of Visual Communication and Image Representation,24(7),pp.1031-1039. . (SCI, CCF C类)
Songhe Feng, Hong Bao. Combining visual attention model with multi-instance learning for tag ranking.Neurocomputing, 74(). 3619-3627. (SCI, CCF C类)
Bing Li,Songhe Feng.Scaring or pleasing: exploit emotional impact of an image.ACM Multimedia,pp.1365-1366, . (CCF A类)
图像显著性检测等相关领域：
Zun Li, Congyan Lang, Jiashi Feng, Yidong Li, Tao Wang,Songhe Feng. Co-Saliency Detection with Graph Matching.ACM Trans. on Intelligent System and Technology,.(SCI, CCF B类)
Congyan Lang, Jiashi Feng,Songhe Feng,Jingdong Wang, Shuicheng Yan. Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection.IEEE Trans. On Neural Networks and Learning Systems, 27(6), 1190-1200, .(SCI, CCF B类)
Honglin Quan*,Songhe Feng.Improving Person Re-identification via Attribute-identity Representation and Visual Attention Mechanism.Multimedia Tools and Applications. (Accepted, CCF C类)
Zun Li, Congyan Lang,Songhe Feng, Tao Wang. Saliency Ranker: A New Salient Object Detection Method.Journal of Visual Communication and Image Representation, 50(1), pp. 16-26, .(SCI, CCF C类)
Honglin Quan*,Songhe Feng, Baifan Chen.Two Birds with One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning.IEEE Access, . (SCI)
Songhe Feng, De Xu. Attention-driven Salient Edge(s) and Region(s) Extraction with Application to CBIR.Signal Processing, 90(1), pp.1-15, Jan.. (SCI, CCF C类)
图匹配算法等相关领域：
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng. Graph Matching with Adaptive and Branching Path Following.IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(12), pp. 2853-2867, . (SCI, CCF A类)
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng. Symmetry-Aware Graph Matching.Pattern Recognition, 60, pp. 657-668, . (CCF B类)
Jun Zhou, Tao Wang, Congyan Lang,Songhe Feng.A Novel Hypergraph Matching Algorithm based on Tensor Refining.Journal of Visual Communication and Image Representation, 57, pp. 69-75, . (SCI, CCF C类)
Tao Wang,Hua Yang, Congyan Lang,Songhe Feng. An error-tolerant approximate matching algorithm for labeled combinatorial maps.Neurocomputing, 156(25). 211-220, .(SCI, CCF C类)
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng. Constrained Confidence Matching for Planar Object Tracking.ICRA, . (CCF B类)
代表性著作：
科研项目及获奖情况
科研项目：
主持 国家自然科学基金项目 / 北京市自然科学基金项目 / 教育部博士点基金项目 / 中国博士后科学基金面上项目 / 中国博士后科学基金特别资助项目 / 中央高校基本科研业务费项目 / 北京市重点实验室开放课题项目等20余项。部分代表性科研项目列表如下：
国家自然科学基金面上项目：弱监督学习框架下大规模图像语义理解关键技术研究，-，主持
国家自然科学基金面上项目：海量社群图像语义理解关键技术研究，-, 主持
国家自然科学基金青年项目：基于视觉认知理论的图像层次化语义理解研究，-，主持
北京自然科学基金面上项目：基于上下文的图像语义理解关键技术研究，-，主持
国家自然科学基金面上项目：基于视觉感知的中国书画图像语义自动分类研究，-，合作单位主持
获奖情况：
入选北京交通大学青年英才计划II类；
北京交通大学握奇奖教金；
计算机与信息技术学院教学基本功比赛一等奖；
授课及指导研究生
本人拟于度招收1名博士研究生(直博/硕博连读/申请考核均可)，3-5名学术型硕士研究生(有读博意愿的优先考虑)，需要有较好的数学基础及英文读写能力。研究方向包括但不限于：弱监督机器学习算法及其在多媒体内容分析中的应用。感兴趣的同学请与我邮件联系！
在读博士研究生:
孙利娟(-) 吕庚育(-) 吴亚楠 (-)
在读硕士研究生:
叶 苹(学硕,-) 李施施 (专硕, -)
李子薇 (学硕, -) 孙 悦 (学硕, -) 刘 燕(专硕, -) 李艳青 (专硕, -) 季玲玲 (专硕, -)
刘馨媛 (学硕, -) 周 彤 (学硕, -) 陆 迅 (学硕, -) 赵建国 (学硕, -) 王绍凯 (学硕, -)
已毕业硕士研究生:
谢延涛(专硕 ), 国家电网
罗骁原(学硕 ), 中航信
邢妍妍(专硕 ), 光明日报
翟昱昊(专硕 ), 京东方集团
李敬伟(学硕 ), 航天三院
孙 健(专硕 ), 德勤集团
王晓莹(学硕 ),中国建设银行,校级优秀硕士论文获得者
权洪林(学硕),度小满金融,院级优秀硕士论文获得者
黄文英(学硕),中国银行
黄维雪(专硕), 中软国际
承担本科生课程：
C语言程序设计；
JAVA语言程序设计；
多媒体应用基础；
承担研究生课程：
Introduction to Machine Vision (For International Graduate Students)
视觉认知计算与图像语义计算(博士生课程)；
机器视觉基础(硕士生课程)；
