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
Teaching Experience
   

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

Conferences

   

Collaboration

   

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