Conference
  2017
  • C. Yang, L. Zhong, L. Li, L. Jie. "Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs". In Proceedings of the 26th International World Wide Web conference (WWW17), Perth, Australia. April, 2017.   [PDF]


  2016
  • X. Wang, J. Wang, L. Jie, Y. Chang, C.-X. Zhai. "Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing". In Proceedings of the IEEE International Conference on Data Mining (ICDM16), Barclona, Spain. December, 2016.   [PDF]


  • Y. Wang, D. Yin, L. Jie, P. Wang, M. Yamada, Y. Chang, Q. Mei. "Beyond Ranking: Optimizing Whole-Page Presentation". In Proceedings of the 9th ACM international conference on Web search and data mining (WSDM16), San Francisco, California. Feburary, 2016.   ** Best Paper Award ** [PDF]


  2015
  • J. Zhang, L. Jie, A Rahman, S Xie, Y. Chang and P. S. Yu "Learning Entity Types from Query Logs via Graph-Based Modeling". In Proceedings of the 24rd ACM International Conference on Information and Knowledge Management (CIKM15), Melbourne, Australia. October, 2015.   [PDF]

  • W. Kong, R. Li, L. Jie, A. Zhang, Y. Chang and J. Allan. "Predicting Search Intent Based on Pre-Search Context". In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR15), Santiago, Chile. August, 2015.   [PDF]


  2014
  • J. Zhang, X. Kong, L. Jie, Y. Chang and P. S. Yu "NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites". In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM14), Shanghai, China. November, 2014.  


  2013
  • L. Jie, S. Lamkhede, R. Sapra, E. Hsu, H. Song and Y. Chang. "A Unified Search Federation System Based on Online User Feedback". In Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD13), Chicago, Illinois. August, 2012.   [PDF]


  2011
  • L. Jie*, T. Tommasi* and B. Caputo. "Multiclass Transfer Learning from Unconstrained Priors". In Proceedings of the 13th International Conference on Computer Vision (ICCV11), Barcelona, Spain. November, 2011. (* indicates equal contribution)   [PDF] [CODE+DATA]

  • Mert Özcan, L. Jie, V. Ferrari and B. Caputo. "A Large-Scale Database of Images and Captions for Automatic Face Naming". In Proceedings of the 22nd British Machine Vision Conference (BMVC11), Dundee, UK. August, 2011.   [PDF] [DATA]

  • F. Orabona and L. Jie. "Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning". In Proceedings of the 28th International Conference on Machine Learning (ICML11), Bellevue, Washington. June, 2011.   [PDF] [CODE]


  2010
  • L. Jie and F. Orabona. "Learning from Candidate Labeling Sets". In Advances in Neural Information Processing Systems 23 (NIPS10), Vancouver, Canada. December, 2010. (spotlight)   [PDF] [CODE]

  • L. Jie, F. Orabona, M. Fornoni, B. Caputo, and N. Cesa-Bianchi. "OM-2: An online multi-class multi-kernel learning algorithm". In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on On-line Learning for Computer Vision (OLCV10), San Francisco, Califnornia. June, 2010.   [PDF] [CODE]

  • F. Orabona, L. Jie and B. Caputo. "Online-Batch Strongly Convex Multi Kernel Learning". In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR10), San Francisco, Califnornia. June, 2010. (oral)  [PDF] [FULL VERSION] [CODE]


  2009
  • L. Jie, B. Caputo and V. Ferrari. "Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation". In Advances in Neural Information Processing Systems 22 (NIPS09), Vancouver, Canada. December, 2009.   [PDF] [DATA]

  • L. Jie, F. Orabona and B. Caputo. "An online framework for learning novel concepts over multiple cues". In Proceedings of the Asian Conference on Computer Vision (ACCV09) , Xi'an, China. September, 2009. (oral)  [PDF] [DEMO]


  2008
  • D. Weinshall, H. Hermansky, A. Zweig, L. Jie, H. Jimison, F. Ohl and M. Pavel. "Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree". In Advances in Neural Information Processing Systems 21 (NIPS08), Vancouver, Canada. December, 2008.   [PDF]

  • J. Anemuller, J.-H. Bach, B. Caputo, M. Havlena, L. Jie, H. Kayser, B. Leibe, P. Motlicek, T. Pajdla, M. Pavel, A. Torii, L. Van Gool, A. Zweig, H. Hermansky. "The DIRAC AWEAR audio-visual platform for detection of unexpected and incongruent events". In Proceedings of the International Conference on Multimodal Interfaces (ICMI08), Chania, Greece. October, 2008.

  • L. Jie, B. Caputo, A. Zweig, J.-H. Bach and J. Anemuller. "Object Category Detection Using Audio-visual Cues". In Proceedings of the International Conference on Computer Vision System (ICVS08), Santorini, Greece. May, 2008. (oral)   [PDF]

  • M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt and H. I. Christensen. "Towards Robust Place Recognition for Robot Localization". In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA08), Pasadena, California. May, 2008.  [PDF]


  2007
  • J. Luo, A. Pronobis, B. Caputo and P. Jensfelt. "Incremental Learning for Place Recognition in Dynamic Environments". In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS07), San Diego, California. October, 2007.   [PDF] [DATA]

  • F. Orabona, C. Castellini, B. Caputo, J. Luo and G. Sandini. "Indoor Place Recognition using Online Independent Support Vector Machines". In Proceedings of the British Machine Vision Conference (BMVC07), Warwick, UK. September, 2007. (oral)   [PDF]

  • J. Luo, A. Pronobis and B. Caputo. "SVM-based Transfer of Visual Knowledge Across Robotic Platforms". In Proceedings of the International Conference on Computer Vision System (ICVS07), Bielefeld, Germany. March, 2007. (oral)   [PDF]



Journal
  • L. Jie, F. Orabona, B. Caputo and V. Ferrari. "Learning from Images with Captions Using the Maximum Margin Set Algorithm". Idiap-RR-30-2011.   [PDF]

  • F. Orabona, L. Jie and B. Caputo. "Multi Kernel Learning with Online-Batch Optimization". Journal of Machine Learning Research (JMLR), 2012.

  • A. Pronobis, L. Jie, and B. Caputo "The More you Learn, the Less you Store: Memory-controlled Incremental SVM for Visual Place Recognition". Image and Vision Computing (IMAVIS), March, 2010.  [PDF]

  • F. Orabona, C. Castellini, B. Caputo, L. Jie and G. Sandini. "On-line Independent Support Vector Machines". Pattern Recognition , April, 2010.  [PDF] [CODE]



Thesis
  • LUO Jie. "Open-Ended Learning of Visual and Multi-Modal Patterns", PhD Thesis #5233, EPFL, December 2011.   [PDF]

  • LUO Jie. "Incremental Learning for Adaptive Visual Place Recognition in Dynamic Indoor Environments", Master Thesis, CAS/CVAP, KTH, Nov 2006.   [PDF]

    ** Best Master's thesis award of Swedish AI Society 2007 **