基本信息 办公电话：N/A 电子邮件： shfeng@bjtu.edu.cn
通讯地址：北京交通大学计算机学院9号教学楼北524室 邮编：100044

教育背景 2003.09 - 2009.01 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 - 2003.06 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 2017.12 - 至今 北京交通大学，计算机与信息技术学院，教授；
2017.09 - 2017.12 德国德累斯顿工业大学，计算机科学系，国家公派访问；
2013.10 - 2014.10 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；
2012.12 - 2017.11 北京交通大学，计算机与信息技术学院，副教授；
2011.01 - 2012.11 北京交通大学，计算机与信息技术学院，讲师；
2009.04 - 2010.12 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 机器学习与认知计算
人工智能及应用
计算机技术（专业学位）
软件工程（专业学位）
招生专业 计算机科学与技术硕士
计算机科学与技术博士
电子信息硕士
教学工作 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）；
科研项目 主持多项 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及特别资助项目 / 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。部分代表性主持科研项目列表如下：

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，2019-01-01--2022-12-31，主持
北京自然科学基金面上项目：弱监督多标记学习算法研究，2020-01-01--2022-12-31，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，2015-01-01--2018-12-31, 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，2016-01-01--2018-12-31，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，2012-01-01--2014-12-31，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，2010-01-01--2012-12-31，合作单位主持
研究生培养 本人2020年度还有2-3名硕士研究生的招生指标，有读博意愿的优先考虑！
本人持续招收博士研究生（直博/硕博连读/申请考核等）（每年1-2名），需要有较好的数学基础及英文读写能力，感兴趣的同学请随时与我邮件联系！
————————————————————————————————————————————
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；
——————————————————————————————————————————
在读博士研究生:
孙利娟(2017-) 吕庚育(2018-) 吴亚楠 (2019-)
在读硕士研究生: 叶 苹(学硕,2017-)
李子薇 (学硕, 2018-) 孙 悦 (学硕, 2018-) 刘 燕(专硕, 2018-) 李艳青 (专硕, 2018-) 季玲玲 (专硕, 2018-)
刘馨媛 (学硕, 2019-) 周 彤 (学硕, 2019-) 陆 迅 (学硕, 2019-) 赵建国 (学硕, 2019-) 王绍凯 (学硕, 2019-)
——————————————————————————————————————————
已毕业研究生:
谢延涛(专硕 2014), 国家电网
罗骁原(学硕 2016), 中航信
邢妍妍(专硕 2016), 光明日报
翟昱昊(专硕 2016), 京东方集团
李敬伟(学硕 2017), 航天三院
孙 健(专硕 2017), 德勤集团
王晓莹(学硕 2018),中国建设银行,校级优秀硕士论文获得者
黄文英(学硕 2019), 中国银行
黄维雪(专硕 2019), 中软国际

权洪林(学硕 2019), 度小满金融,院级优秀硕士论文获得者
论文/期刊

(^表示第一作者为本人指导的研究生，且本人为通讯作者)
Preprints：

Gengyu Lyu^,Songhe Feng. Noisy Label Tolerance: A New Perspective of Partial Multi-Label Learning.Information Sciences. (Major Revision)
Lijuan Sun^, Ping Ye^, Songhe Feng*.Weakly-Supervised Multi-Label Learning with Noisy Features andIncomplete Labels.Neurocomputing. (Major Revision)
Gengyu Lyu^, Songhe Feng*. Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism, 2020.
Lijuan Sun^, Songhe Feng*. Partial Multi-Label Learning with Noisy Side Information, 2020.
Lijuan Sun^,Gengyu Lyu^, Songhe Feng*. Partial Multi-Label Learning with Global and Local Label Correlation, 2020.
Gengyu Lyu^, Songhe Feng*.Partial Label Learning via Self-Paced Curriculum Learning, 2020.
Yue Sun^, Gengyu Lyu^, Songhe Feng*. Partial Label Learning via Subspace Representationand GlobalDisambiguation, 2020.
Lijuan Sun^, Gengyu Lyu^, Songhe Feng*. Beyond Missing: Weakly-Supervised Multi-Label Learning with Incomplete and Noisy Labels, 2020.
Yanan Wu^, Songhe Feng*. L4Net: An Anchor-Free Generic Object Detectorwith Attention Mechanism for Autonomous Driving, 2020.
Journal Papers:

Gengyu Lyu^,Songhe Feng*. A Self-paced RegularizationFramework for Partial-Label Learning.IEEE Trans. on Cybernetics, 2020. (CCF B类)
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, 2020.(CCF B类)
Gengyu Lyu^,Songhe Feng*.GM-PLL: Graph Matching based Partial Label Learning.IEEE Trans. on Knowledge and Data Engineering, 2020.(CCF A类)
Min Wang, Congyan Lang, Liqian Liang, Yutong Gao, Songhe Feng,Tao Wang. End-to-End Text-to-Image Synthesis with Spatial Constraints. ACM Trans. on Intelligent Systems and Technology, 2020. (CCF B类)
Gengyu Lyu^,Songhe Feng*.Partial Label Learning via Low Rank Representation and Label Propagation.Soft Computing, 24(7), pp. 5165-5176, 2020. (CCF C类)
Honglin Quan^,Songhe Feng*.Improving Person Re-identification via Attribute-identity Representation and Visual Attention Mechanism.Multimedia Tools and Applications, 79(11-12), pp. 7259-7278, 2020.(CCF C类)
Yingxia Jia, Congyan Lang, Songhe Feng. A Semantic Segmentation Method of Traffic Scene Based on Categries-Aware Domain Adaption. Journal of Computer Research and Development, 2020. (In Chinese)
Zhongyi Li, YiJi, YidongLi, CongyanLang,SongheFeng,TaoWang. Learning Part-Alignment Feature for Person Re-Identification with Spatial Temporalbased Re-ranking Method.World Wide Web, 2019. (CCF B类)
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,10(3), 22:1-22:22, 2019. (CCF B类)
Xiaoying Wang^,Songhe Feng*.Semi-supervised dual low-rank feature mapping for multi-label image annotation.Multimedia Tools and Applications, 78(10), pp. 13149-13168, 2019.(CCF C类)
Yanan Dong, Congyan Lang,Songhe Feng*.General Structured sparse learning for human facial age estimation.Multimedia Systems, 25(1), pp. 49-57, 2019.(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, 2019. (CCF C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, 2018. (CCF A类)
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, pp. 1351-1372, 2018.
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, 2018.(CCF C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, 2018. (CCF C类)
Shaoyan Xu, Tao Wang, Congyan Lang, Songhe Feng, Yi Jin. Graph-based Visual Odometry for VSLAM. Industrial Robot,2018.
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, 2017.
Songhe Feng, Congyan Lang, Jiashi Feng, Tao Wang, Jiebo Luo. Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization. IEEE Trans. on Multimedia, 19(1), pp. 136-148, 2017. (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, 2016.(CCF B类)
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng. Symmetry-Aware Graph Matching.Pattern Recognition, 60, pp. 657-668, 2016. (CCF B类)
Tao Wang,Hua Yang, Congyan Lang,Songhe Feng. An error-tolerant approximate matching algorithm for labeled combinatorial maps.Neurocomputing, 156(25). 211-220, 2015.(CCF C类)
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, 2015. (CCF A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, 2014. (CCF C类)
Songhe Feng, Congyan Lang. Adaptive All-Season Image Tag Ranking by Saliency-Driven Image Pre-Classification.Journal of Visual Communication and Image Representation,24(7),pp.1031-1039. 2013. (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, 2013. (CCF C类)
Shuoyan Liu, De Xu, Songhe Feng. Region Contextual Visual Words for Scene Classification. Expert Systems with Applications, 38(9), 11591-11597, 2011. (CCF C类)
Hong Bao, Songhe Feng. A Novel Saliency-based Graph Learning Framework with Application to CBIR. IEICE Trans. on Information System, 94(6), 1353-1356, 2011.
Songhe Feng, Hong Bao. Combining visual attention model with multi-instance learning for tag ranking.Neurocomputing, 74(2011). 3619-3627. (CCF C类)
Shuoyan Liu, De Xu, Songhe Feng. Discriminating Semantic Visual Words for Scene Classification. IEICE Trans. on Information System, 93(6), 1580-1588, 2010.
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.2010. ( CCF C类)
Songhe Feng, De Xu. Attention-driven Salient Edge(s) and Region(s) Extraction with Application to CBIR.Signal Processing, 90(1), pp.1-15, 2010. (CCF C类)
Songhe Feng, De Xu. Combining Attention Model with Hierarichical Graph Representation for Region-based Image Retrieval. IEICE Trans. on Information System, 91(8), pp. 2203-2206, 2008.
Songhe Feng, De Xu. Automatic Image Annotation Using An Improved Multiple-Instance Learning Algorithm. Chinese Journal of Electronics, 17(1), pp. 43-47, 2008.
Conference Papers:

Ziwei Li^, Gengyu Lyu^, Songhe Feng*. Partial Multi-Label Learning via Multi-Subspace Representation, IJCAI, 2020. (CCF A类)
Lijuan Sun^,Songhe Feng*. Partial Multi-Label Learning by Low-Rank and Sparse Decomposition.AAAI, 2019. (CCF A类)
Lijuan Sun^,Songhe Feng*. Robust Semi-Supervised Multi-Label Learning byTriple Low-Rank Regularization.PAKDD, 2019. (CCF C类)
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng, Xiaohui Hou.Deformable Surface Tracking by Graph Matching.ICCV, 2019. (CCF A类)
Bingqian Geng, Congyan Lang, Junliang Xing,Songhe Feng. MFAD: A Multi-modality Face Anti-spoofing Dataset. PRICAI, 2019. (CCF C类)
Ping Ye^, Songhe Feng*. Robust Multi-Label Learning with Corrputed Features and Incomplete Labels. CAC, 2019.
Wenying Huang^,Songhe Feng*. Partial Label Learning via Low-rank Representation and Label Propagation.ICIMCS, 2018.
Tao Wang, Haibin Ling, Congyan Lang,Songhe Feng. Constrained Confidence Matching for Planar Object Tracking.ICRA, 2018. (CCF B类)
Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng,Yi Jin. Robust Object Tracking Based on Temporal and Spatial Deep Networks. ICCV, 2017. (CCF A类)
Jingwei Li^, Songhe Feng*. Graph Regularized Low-rank Feature Learning for Robust Multi-Label Image Annotation. ICSP, 2016.
Xiaoyuan Luo^, Songhe Feng*. A General Method for Sensitive Identification Detection in the Terrorist Video. ICIMCS, 2015.
Chenjing Yan, Congyan Lang,Songhe Feng. Facial Age Estimation Based on Structured Low-rank Representation.ACM Multimedia, 2015.(CCF A类)
Zheyun Feng,Songhe Feng, Rong Jin, A. K. Jain. Image Tag Completion by Noisy Matrix Recovery.ECCV, 2014.(CCF B类)
Songhe Feng, Congyan Lang, Bing Li. Towards Relevance and Saliency Ranking of Image Tags.ACM Multimedia,2012. (CCF A类)
Bing Li,Songhe Feng.Scaring or pleasing: exploit emotional impact of an image.ACM Multimedia, 2012. (CCF A类)
Songhe Feng, Congyan Lang, De Xu. Beyond Tag Relevance: Integrating Visual Attention Model and Multi-Instance Learning for Tag Saliency Ranking. ACM CIVR, 2010. (CCF B类)


社会兼职 北京市信息服务工程北京市重点实验室第三届学术委员会委员(2020-2022)；
Program Committee Member: AAAI(2019, 2020), IJCAI(2019, 2020);
Journal Reviewer for : IEEE Trans. on PAMI, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, IEEE Trans. on NNLS, IEEE Trans. on Cybernetics, IEEE Trans. on Big Data；
获奖与荣誉
2016年度，北京交通大学计算机学院优秀共产党员；
2015年度，入选北京交通大学青年英才计划II类；
2011年度，北京交通大学握奇奖教金；
2010年度，北京交通大学计算机学院教学基本功比赛一等奖；