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科研人员
姓名 鲍秉坤  
性别 女 
职称 副研究员 
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基本信息
鲍秉坤 女 副研究员,硕士生导师,中国科学院自动化研究所模式识别国家重点实验室。研究方向为多媒体计算、社交多媒体、计算机视觉等。2009年毕业于中国科学技术大学,获控制理论与工程专业博士学位。分别于2009年和2011年进入新加坡国立大学、中科院自动化所从事博士后研究工作,并获得2012年度中国科学院“王宽诚”博士后工作奖励(全院50人)。于2013年留任自动化所。
共发表论文30余篇,其中国际权威期刊19篇,包含IEEE/ACM Trans 10篇。以第一作者身份发表论文获得多媒体顶级期刊ACM TOMM 2016年最佳论文奖,获得多媒体国际会议ICIMCS 2009年最佳论文奖,指导学生获得多媒体重要期刊IEEE Multimedia 2017年最佳论文奖。承担5项省部级项目,包括国家自然科学基金面上项目、青年项目,北京市科学基金面上项目,博士后基金特别资助等。已授权专利3项。协助指导已毕业博士3名,在读研究生5名。
Email: bkbao@nlpr.ia.ac.cn; bingkun.bao@ia.ac.cn
Home Page: http://people.ucas.ac.cn/~bingkunbao

发表专著与论文
1.Bing-Kun Bao, Shuicheng Yan, “Graph Learning based Image Annotation”, Book chapter, Edited by Xiao Bai, Jian Cheng, Edwin Hancock, IGI Global, 2012.
2.Bing-Kun Bao, Guangyu Zhu, Jialie Shen, Shuicheng Yan, “Robust Image Analysis with Sparse Representation on Quantized Visual Features”, IEEE Transactions on Image Processing, vol. 22, no 3, pp. 860-871, 2013.
3.Bing-Kun Bao, Guangcan Liu, Changsheng Xu, Shuicheng Yan, “Inductive Robust Principal Component Analysis”, IEEE Transactions on Image Processing, vol. 21, no 8, pp. 3794-3800, 2012.
4.Bing-Kun Bao, Guangcan Liu, Richang Hong, Shuicheng Yan, Changsheng Xu, “General Subspace Learning with Corrupted Training Data”, IEEE Transactions on Image Processing, vol. 22, no. 11, pp: 4380-4393, 2013..
5.Bing-Kun Bao, Teng Li, Shuicheng Yan, “Hidden-concept Driven Multi-label Image Annotation and Label Ranking”, IEEE Transactions on Multimedia, vol. 14, no 1, pp. 199-210. 2012.
6.Bing-Kun Bao, Weiqing Min, Teng Li, Changsheng Xu, “Joint Local and Global Consistency on Inter-document and Inter-word Relationships for Co-clustering”, IEEE Transactions on Cybernetics, vol. 45, no. 1, pp. 15-28, 2015.
7.Bing-Kun Bao, Weiqing Min, Changsheng Xu, “Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams”, ACM Transactions on Multimedia Computing Communications and Applications, no. 11(4), 2015. [Best Paper Award]
8.Chao Sun, B.K. Bao, Changsheng Xu, “Knowing Verb From Object: Retagging With Transfer Learning on Verb-Object Concept Images” IEEE Transactions on Multimedia (TMM), vol. 17, no. 10, 2015.
9.Weiqing Min, Changsheng Xu, Min Xu, Xian Xiao, Bing-Kun Bao, “Mobile Landmark Search with 3D Models”, IEEE Transactions on Multimedia, Vol. 16, Issue 3, pp. 623-636, 2014.
10.Chao Sun, Tianzhu Zhang, Bing-Kun Bao, Changsheng Xu, Tao Mei, “Discriminative Exemplar Coding for Sign Language Recognition with Kinect”, IEEE Transactions on Cybernetics, vol. 43, no. 5, pp. 2168-2267, 2013.
11.Bing-Kun Bao, Bingbing Ni, Yadong Mu, Shuicheng Yan, “Efficient Region-aware Large Graph Construction towards Scalable Multi-label Propagation”, Pattern Recognition, vol. 44, no 3, pp. 589-606, 2011.
12.Bing-Kun Bao, Hongsheng Xi, Baoqun Yin, Qiang Ling, “Two Time-scale Gradient Approximation Algorithm for Adaptive Markov Reward Processes”, International Journal of Innovative Computing, Information and Control, Vol.6, Issue 2, pp. 655-665, February 2010.
13.Chao Sun, Bing-Kun Bao, Changsheng Xu, “Inductive Hierarchical Nonnegative Graph Embedding for "Object-Verb" Image Classification”, Machine Vision and Applications, vol. 25, no. 7, pp. 1647-1659, 2014.
14.Weiqing Min, Bing-Kun Bao, Changsheng Xu, “Multi-modal Spatio-Temporal Theme Modeling for Landmark Analysis”, IEEE Multimedia, vol. 21, no. 3, pp. 20-29, 2014. [Best Paper Award]
15.Jing Wang, Ke Lu, Daru Pan, Ning He, Bing-Kun Bao, “Robust Object Removal with an Exemplar-based Image Inpainting Approach”, Neurocomputing, vol. 123, pp. 150-155, 2014.
16.Ning He, Ke Lu, Bing-Kun Bao, Lulu Zhang, Jin-Bao Wang, “Single-image Motion Deblurring using an Adaptive Image Prior”, Information Science, vol. 281, pp. 736-749, 2014.
17.Bing-Kun Bao, Weiqing Min, Ke Lu, Changsheng Xu, “Social Event Detection with Robust High-Order Co-Clustering”, The ACM International Conference on Multimedia Retrieval, 2013.
18.Bing-Kun Bao, Weiqing Min, Jitao Sang, Changsheng Xu, “Multimedia News Digger on Emerging Topics from Social Streams”, The ACM International Conference on Multimedia, 2012.
19.Bing-Kun Bao, Teng Li, and Shuicheng Yan, “Hidden-Concept Driven Image Decomposition towards Semi-Supervised Multi-Label Image Annotation”, International Conference on Internet Multimedia Computing and Service, 2009. [Best Paper Award]
20.Weiqing Min, Bing-Kun Bao, Changsheng Xu, “What Happened near Big Ben: Event-Driven Landmark Mining from Flickr”, Pacific-Rim Conference on Multimedia, 2012.
21.Chao Sun, Bing-Kun Bao, Changsheng Xu, Tao Mei, “Kinect-based visual communication system”, International Conference on Internet Multimedia Computing and Service, 2012.
22.Chao Sun, Bing-Kun Bao, Changsheng Xu, ““Verb-Object” Concepts Image Classification via Hierarchical Nonnegative Graph Embedding”, International Conference on Multimedia Modeling, 2013.
23.Weiqing Min, Bing-Kun Bao, Changsheng Xu, “Landmark History Visualization”, International Conference on Multimedia Modeling, 2013.

承担项目
1.国家自然科学基金面上项目:面向旅游的地理位置互联网大数据的分析与处理,2016-2019,负责人鲍秉坤,项目经费76.2万;
2.国家自然科学基金青年项目:基于物理空间与网络空间的社会事件分析的研究,2013-2015,负责人鲍秉坤,项目经费26万;
3.北京市自然科学基金面上项目:面向社交网络的社会事件感知、分析与处理,负责人鲍秉坤,2015-2017,项目经费15万;
4.北京市自然科学基金重点项目:面向地标的互联网跨媒体精准搜索与挖掘关键技术,负责人徐常胜,实际负责人鲍秉坤,2013-2015,项目经费65万,结题获得优秀。
5.博士后基金特别项目:热点事件在物理空间和网络空间上自动检测与跟踪的研究,负责人鲍秉坤,2013-2014,项目经费15万;
6.博士后基金面上项目:基于互联网资源的多标签图像标注问题的研究,负责人鲍秉坤,2012-2013,项目经费3万;

专利
1.在物理空间上提取网络空间热点事件信息的方法,ZL201210443072.4,徐常胜、鲍秉坤,已授权。
2.一种基于多媒体数据挖掘的地标信息检索方法,ZL201310451597.7,徐常胜 闵巍庆 鲍秉坤,已授权。
3.基于互联网跨媒体地标的历史事件提取及相关图片的搜索方法,ZL201210592957.0,徐常胜,闵巍庆,鲍秉坤,已授权。
4.基于贝叶斯网络的人体动作的标注方法,2015100587068 ,徐常胜,孙超,鲍秉坤,在申。

社会任职
1.Guest Editor: Multimedia System, Multimedia Tools and Applications.
2.Special Session chair: ICIMCS’15
3.Conference Program Committee: MMM’13, PCM’13, ICME’14, PCM'17 etc.
4.Reviewer: TIP, TMM, ACM TOMM, TNNLS, TKDE, PR, etc.

研究方向
个人成就