General
Associate Professor 
Multimedia Computing Group 
National Lab of Pattern Recognition 
Institute of Automation, Chinese Academy of Sciences 
95, Zhongguancun East Road, Beijing 100190, P.R.China
E-mail: bingkun.bao@ia.ac.cn

Research Areas

  • Computer Vision: Image classification and annotation, Sparse/Low rank representation, Graph embedding

  • Multimedia: Social event detection, Cross-media retrieval and search, recommendation and search in social media

  • Stochastic Optimization: Markov decision process and extended Markov decision process, Two time-scale stochastic approximation

Education

  • University of Science and Technology of China, Hefei, China
    Ph. D. in Engineering
    Thesis: A Gradient Approximation Approach and Applications to Communications
    Supervisor: Prof. Xi Hongsheng      Sep 2004 – Jun 2009

  • Hefei University of Technology, Hefei, China
    Bachelor in Computer Science     Sep 2000 – Jun 2004

Experience

   
Work Experience
  • Institute of Automation, Chinese Academy of Sciences, Beijing, China
    Associate Researcher        Otc 2015 - Present

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China
    Assistant Researcher        Aug 2013-Otc 2015

  • China-Singapore Institute of Digital Media, Singapore
    Researcher              Sep 2011-May 2015

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China
    Post-Doctoral Researcher      Sep 2011-Aug 2013

  • National University of Singapore, Singapore
    Post-Doctoral Engineer       Jun 2009 - Sep 2011

Publications

   
Journal Publications

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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, accepted [2016 Nicolas D. Georganas Best Paper Award]
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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 [2017 Best Paper Award]
  • 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
  • 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


Conference Publications

  • 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
  • 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
  • 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 [2009 Best Paper Award]
  • Bing-Kun Bao, Baoqun Yin, Hongsheng Xi
    Infinite-Horizon Policy-Gradient Estimation with Variable Discount Factor for Markov Decision Process,
    International Conference on Innovative Computing, Information and Control, 2008
  • Weiqing Min, Bing-Kun Bao, Changsheng Xu
    What Happened near Big Ben: Event-Driven Landmark Mining from Flickr,
    Pacific-Rim Conference on Multimedia, 2012
  • Chao Sun, Bing-Kun Bao, Changsheng Xu, Tao Mei
    What Happened near Big Ben: Event-Driven Landmark Mining from Flickr,
    International Conference on Internet Multimedia Computing and Service, 2012
  • Chao Sun, Bing-Kun Bao, Changsheng Xu
    "Verb-Object" Concepts Image Classification via Hierarchical Nonnegative Graph Embedding,
    International Conference on Multimedia Modeling, 2013
  • Weiqing Min, Bing-Kun Bao, Changsheng Xu
    Landmark History Visualization,
    International Conference on Multimedia Modeling, 2013


Chapter Publications
  • Bing-Kun Bao, Shuicheng Yan
    Region-Based Graph Learning towards Large Scale Image Annotation,
    Book chapter, Edited by Xiao Bai, Jian Cheng, Edwin Hancock, IGI Global, 2012
Patents
  • 在物理空间上提取网络空间热点事件信息的方法, 发明, 2015, 第 2 作者, 专利号: ZL201210443072.4

  • 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, 发明, 2015, 第 3 作者, 专利号: ZL201210592957.0

Research Interests

  • Computer Vision: Image classification and annotation, Sparse/Low rank representation, Graph embedding

  • Multimedia: Social event detection, Cross-media retrieval and search, recommendation and search in social media

  • Stochastic Optimization: Markov decision process and extended Markov decision process, Two time-scale stochastic approximation

Students

张晋 合肥工业大学 硕士 计算机软件与理论

王俊懿 合肥工业大学 硕士 计算机软件与理论

年福东 安徽大学 博士 计算机应用技术

俞雷 中国科学院自动化研究所 博士 模式识别与智能系统

闵巍庆 中国科学院自动化研究所 博士 模式识别与智能系统

孙超 中国科学院自动化研究所 博士 模式识别与智能系统

Honors & Distinctions

  • Chinese Academy of Sciences K. C. Wong Post-doctoral Fellowship, K. C. Wong Education Foundation    2011-2012

  • Best Paper Award, International Conference on Internet Multimedia Computing and Service           2009
  • Best Paper Award, IEEE MultiMedia                                                                                                           2017
  • Nicolas D. Georganas Best Paper Award, ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM)   2016