北京交通大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)研究生導(dǎo)師介紹：馮松鶴

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基本信息
辦公電話： 電子郵件： shfeng@bjtu.edu.cn
通訊地址：北京交通大學(xué)計(jì)算機(jī)學(xué)院9教北525 郵編：100044 

教育背景

2003.09 - 2009.01 北京交通大學(xué)，計(jì)算機(jī)與信息技術(shù)學(xué)院，博士

1999.09 - 2003.06 北京交通大學(xué)，計(jì)算機(jī)與信息技術(shù)學(xué)院，學(xué)士

工作經(jīng)歷
2013.10 - 2014.10 美國(guó) 密歇根州立大學(xué) 計(jì)算機(jī)科學(xué)與工程系，訪問(wèn)學(xué)者
2013.01 - 至今    北京交通大學(xué)，計(jì)算機(jī)與信息技術(shù)學(xué)院，副教授，博士生導(dǎo)師
2011.01 - 2012.12 北京交通大學(xué)，計(jì)算機(jī)與信息技術(shù)學(xué)院，講師
2009.04 - 2010.12 北京交通大學(xué)，計(jì)算機(jī)與信息技術(shù)學(xué)院，師資博士后

研究方向（順序不分先后）
計(jì)算機(jī)技術(shù)(專業(yè)學(xué)位)
機(jī)器學(xué)習(xí)與認(rèn)知計(jì)算
招生專業(yè)
計(jì)算機(jī)與信息技術(shù)學(xué)院:計(jì)算機(jī)技術(shù)(專業(yè)學(xué)位)碩士
計(jì)算機(jī)與信息技術(shù)學(xué)院:計(jì)算機(jī)科學(xué)與技術(shù)博士
計(jì)算機(jī)與信息技術(shù)學(xué)院:計(jì)算機(jī)科學(xué)與技術(shù)碩士
科研項(xiàng)目
國(guó)家自然科學(xué)基金：海量社群圖像語(yǔ)義理解關(guān)鍵技術(shù)研究，2015-01-01---2018-12-31, 主持
國(guó)家自然科學(xué)基金青年基金：基于視覺(jué)認(rèn)知理論的圖像層次化語(yǔ)義理解研究，2012-01-01--2014-12-31，主持
基本科研業(yè)務(wù)費(fèi)：基于上下文的圖像語(yǔ)義理解關(guān)鍵技術(shù)研究，2014-01-01--2015-12-31，主持
其它部市：社群圖像語(yǔ)義理解，2013-09-01--2014-12-31，主持
國(guó)家自然科學(xué)基金“面上”：基于上下文感知的互聯(lián)網(wǎng)社群圖像語(yǔ)義理解，2013-01-01--2016-12-31，參加
人才基金：基于Web圖像搜索和視覺(jué)注意力機(jī)制的標(biāo)簽排序算法研究，2012-01-01--2014-12-31，主持
博士點(diǎn)基金：面向視覺(jué)感知的圖像層次化語(yǔ)義理解研究，2012-01-01--2014-12-31，主持
其它：基于多示例多標(biāo)記學(xué)習(xí)的圖像自動(dòng)標(biāo)注及分類算法研究，2012-01-01--2013-12-31，主持
基本科研業(yè)務(wù)費(fèi)：基于視覺(jué)注意力機(jī)制的3D視覺(jué)搜索模型研究，2011-07-01--2014-06-30，參加
基本科研業(yè)務(wù)費(fèi)：海量圖像語(yǔ)義標(biāo)注及情感分類算法研究，2011-07-01--2014-06-30，主持
國(guó)家自然科學(xué)基金“重點(diǎn)”：基于認(rèn)知模型的圖像不變特征理論和關(guān)鍵技術(shù)，2011-01-01--2014-12-31，參加
其它部市：基于視覺(jué)認(rèn)知理論的圖像語(yǔ)義標(biāo)注及多標(biāo)記排序算法研究，2010-12-01--2012-12-01，主持
教育部：基于視覺(jué)認(rèn)知理論的圖像層次化語(yǔ)義理解研究，2010-11-09--2011-11-09，主持
國(guó)家自然科學(xué)基金“面上”：基于視覺(jué)感知的中國(guó)書畫圖像語(yǔ)義自動(dòng)分類研究，2010-01-01--2012-12-31，主持
基本科研業(yè)務(wù)費(fèi)：基于視知覺(jué)的圖像層次化語(yǔ)義標(biāo)注算法研究，2009-12-01--2012-12-31，主持
其它部市：基于顏色認(rèn)知的圖像層次化語(yǔ)義標(biāo)注算法研究，2010-01-01--2011-04-01，主持
教學(xué)工作

高級(jí)語(yǔ)言程序設(shè)計(jì)；
JAVA語(yǔ)言程序設(shè)計(jì)；
多媒體應(yīng)用基礎(chǔ)；

學(xué)術(shù)成果
期刊論文

[new] Chenjing Yan, Congyan Lang, Songhe Feng. Facial Age Estimation Based on Structured Low-rank Representation. ACM Multimedia, 2015.

[new] Songhe Feng, Zheyun Feng, Rong Jin. Learning to rank image tags with limited training examples. IEEE Trans on Image Processing, 2015. (SCI)

[new] Zheyun Feng, Songhe Feng, Rong Jin, Anil K. Jain. Image Tag Completion by Noisy Matrix.  ECCV, 2014. 

[1] 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. (SCI)

[2] 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. (SCI)

[3] Songhe Feng, Hong Bao. Combining visual attention model with multi-instance learning for tag ranking. Neurocomputing, 74(2011). 3619-3627. (SCI)

[4] 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.2010.  (SCI)

[5] 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. (SCI)

[6] 馮松鶴，郎叢妍，須德。一種融合圖學(xué)習(xí)與區(qū)域顯著性分析的圖像檢索算法。電子學(xué)報(bào)，39(10), pp.2288-2294, 2011.

[7] Songhe Feng, De Xu, Bing Li. Automatic Region-based Image Annotation Using an Improved Multiple-Instance Learning Algorithm. Chinese Journal of Electronics, 2008, 17(1): 43-47. (SCI)

[8] Songhe Feng, De Xu, Bing Li. Combining Attention Model with Hierarchical Graph Representation for Region-based Image Retrieval, IEICE Trans. On Info. & Sys. Vol.E91-D, Aug.2008.(SCI)

[9] Songhe Feng, De Xu. Automatic Image Annotation Using Semi-Supervised Multi-Instance Multi-Label Learning Algorithm. Chinese Journal of Electronics, 2008, 17(4): 602-606.(SCI)

[10] Congyan Lang, Songhe Feng. A unified supervised codebook learning framework for classification. Neurocomputing, 77(1). 281-288, 2012. (SCI)

[11] Congyan Lang, Songhe Feng. Supervised sparse patch coding towards misalignment-robust face recognition. Journal of Visual Communication and Image Representation 24(2), pp.103-110, 2013. (SCI)

[12] Hong Bao, Songhe Feng, De Xu, Shuoyan Liu. A Novel Saliency based Graph Learning Framework With Application to CBIR, IEICE Trans. On Info. & Sys. Vol.E94-D, No. 6, Jun.2011. (SCI)

[13] Songhe Feng, Congyan Lang, Bing Li. Towards Relevance and Saliency Ranking of Image Tags. ACM Multimedia, pp.917-920, 2012.

[14] Songhe Feng, Congyan Lang, De Xu. Beyond Tag Relevance: Integrating Visual Attention Model and Multi-Instance Learning for Tag Saliency Ranking. ACM CIVR, pp.288-295, 2010.

[15] Bing Li, Songhe Feng, Weihua Xiong, Weiming Hu: Scaring or pleasing: exploit emotional impact of an image. ACM Multimedia,pp.1365-1366, 2012.

[16] Shuoyan Liu, De Xu, Songhe Feng. Region Contextual Visual Words for Scene Categorization. Expert Systems with Applications, 38(9), pp. 11591-11597, 2011. (SCI)

[17] Shuoyan Liu, De Xu, Songhe Feng. Emotion categorization using affective pLSA model. Optical Engineering, 49(12), 2010. (SCI).

[18] Shuoyan Liu, De Xu, Songhe Feng. Discriminating Semantic Visual Words for Scene Classification. IEICE Trans. on Information & System, 93-D(6): 1580-1588, 2010. (SCI).

[19] 劉碩研,須德,馮松鶴.一種基于上下文語(yǔ)義信息的圖像塊視覺(jué)單詞生成算法.電子學(xué)報(bào)，2010.

[20] Bing Li, De Xu, Weihua Xiong, Songhe Feng. Color Constancy using Achoromatic Surface. Color Research & Application, 2010, 35(4): 304-312. (SCI)

[21] Bing Li, De Xu, Songhe Feng. Illumination-independent descriptors using color moment invariants. SPIE Optical Engineering. 48(2), 2009.(SCI)

[22] Bing Li, De Xu, Songhe Feng. Illumination Estimation Based on Color Invariant. Chinese Journal of Electronics, 2009, 18(3): 431-434.(SCI)

[23] Jie Sun, Songhe Feng, Wen Wang, Congyan Lang: Personalized image recommendation and retrieval via latent SVM based model. ICIMCS, pp.223-226, 2013.

[24] Jun Wu, Yidong Li, Songhe Feng. A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD, pp. 426-436, 2012.

[25] Wen Wang, Congyan Lang, Songhe Feng. Contextualizing Tag Ranking and Saliency Detection for Social Images. MMM, pp.428-435, 2012.

[26] Songhe Feng, Congyan Lang, De Xu. Localized Content-based Image Retrieval Using Saliency-based Graph Learning Framework. In: Proc. of Int. Conf. on Signal Processing (ICSP’10), Beijing, Oct.2010.

[27] Songhe Feng, De Xu. Locating salient edges for CBIR based on visual attention model. In: Proc. of Int. Conf. on Natural Computation (ICNC’06), Xi’an, China, Sep.2006, LNCS 4221, 261-264.

[28] Songhe Feng, De Xu. A Novel Graph Kernel Based SVM Algorithm for Image Semantic Retrieval. In: Proc. of Int. Symp. on Neural Networks (ISNN’06), Chengdu, China, May 2006, LNCS 3972, 589-594.

[29] Songhe Feng, De Xu. A Novel Region-based Image Retrieval Algorithm Using Selective Visual Attention Model. In: Proc. of Int. Conf. on Advanced Concepts for Intelligent Vision Systems (ACIVS’05), Antwerp, Belgium, Sep. 2005, LNCS 3708, 235-242.

[30] Congyan Lang, Songhe Feng. Saliency detection by non-linear intensity mapping in images. In: Proc. of Int. Conf. on Signal Processing (ICSP’10), Beijing, China, pp. 1025-1028, Oct.2010.  

獲獎(jiǎng)與榮譽(yù)
[1] 入選2015-2017年度北京交通大學(xué)青年英才計(jì)劃II類；

[2] 2011年度，北京交通大學(xué)握奇獎(jiǎng)教金；

[3] 2010年度，計(jì)算機(jī)與信息技術(shù)學(xué)院教學(xué)基本功比賽一等獎(jiǎng)；