基本信息 |
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研究领域 |
鲍秉坤,女,副研究员,中国科学院自动化研究所。 |
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研究方向为多媒体计算、社交多媒体、计算机视觉等。 | ||
招生信息 | ||
081104-模式识别与智能系统 | ||
教育背景 | ||
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。 | ||
工作经历 | ||
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。 | ||
专利与奖励 | ||
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。 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。 奖励: 1. 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. 荣获ACM TOMM 2016年最佳论文奖 |
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出版信息 | ||
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. |
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科研活动 | ||
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;
科研活动: 1. Guest Editor: Multimedia System, Multimedia Tools and
Applications. |
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合作情况 | ||