鮑秉坤

鮑秉坤

鮑秉坤，女 ，副研究員，碩士生導師，中國科學院自動化研究所模式識別國家重點實驗室。研究方向為多媒體計算、社交多媒體、計算機視覺等。2009年畢業於中國科學技術大學，獲控制理論與工程專業博士學位。分別於2009年和2011年進入新加坡國立大學、中科院自動化所從事博士後研究工作，並獲得2012年度中國科學院“王寬誠”博士後工作獎勵（全院50人）。於2013年留任自動化所。

現任南京郵電大學計算機學院/軟體學院/網路空間安全學院副院長（主持工作）。

基本介紹

社會任職,人物簡介,承擔項目,專利成果,發表專著與論文,

社會任職

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.

人物簡介

2004-09--2009-06中國科學技術大學自動化系博士
2009-07~2011-06,新加坡國立大學電子工程系,博士後
鮑秉坤
鮑秉坤
2011-07~2013-06,中國科學院自動化研究所,博士後
2013-07~2015-10,中國科學院自動化研究所,助理研究員
2015-10~現在,中國科學院自動化研究所,副研究員
2013-08-25-今,國際會議MMM 2013、PCM 2013、ICIMCS 2014等專會組織者, 專會組織者
2015-01-18-2015-08-21,國際會議International Conference on Internet Multimedia Computing and Service2015年專會主席, 專會主席
2017-05-26-今,全國計算機協會（CCF）多媒體專會委員, 多媒體專會委員
2017-05-26-今,國際SCI檢索雜誌Multimedia System、Multimedia Tools and Applications客座編委, 客座編委

承擔項目

1.國家自然科學基金面上項目：面向旅遊的地理位置網際網路大數據的分析與處理，2016-2019，負責人鮑秉坤，項目經費76.2萬；
2.國家自然科學基金青年項目：基於物理空間與網路空間的社會事件分析的研究，2013-2015,負責人鮑秉坤，項目經費26萬；
3.北京市自然科學基金面上項目：面向社交網路的社會事件感知、分析與處理，負責人鮑秉坤，2015-2017，項目經費15萬；
4.北京市自然科學基金重點項目：面向地標的網際網路跨媒體精準搜尋與挖掘關鍵技術，負責人徐常勝，實際負責人鮑秉坤，2013-2015，項目經費65萬，結題獲得優秀。
5.博士後基金特別項目：熱點事件在物理空間和網路空間上自動檢測與跟蹤的研究，負責人鮑秉坤，2013-2014，項目經費15萬；
6.博士後基金面上項目：基於網際網路資源的多標籤圖像標註問題的研究，負責人鮑秉坤，2012-2013，項目經費3萬；

專利成果

1.在物理空間上提取網路空間熱點事件信息的方法，ZL201210443072.4，徐常勝、鮑秉坤，已授權。
2.一種基於多媒體數據挖掘的地標信息檢索方法，ZL201310451597.7，徐常勝 閔巍慶 鮑秉坤，已授權。
3.基於網際網路跨媒體地標的歷史事件提取及相關圖片的搜尋方法，ZL201210592957.0，徐常勝,閔巍慶,鮑秉坤，已授權。
4.基於貝葉斯網路的人體動作的標註方法，2015100587068 ，徐常勝，孫超，鮑秉坤，在申。

發表專著與論文

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.

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