Publish under Luo Jie [Google Scholar]

  • 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]


  • 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]


  • 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]


  • 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.   [PDF]


  • 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, 2013.   [PDF]


  • F. Orabona, L. Jie and B. Caputo. "Multi Kernel Learning with Online-Batch Optimization". Journal of Machine Learning Research (JMLR), 13(Feb):165-191, 2012.   [PDF] [CODE]


  • 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]


  • 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]


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


  • 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. December, 2009.   [PDF] [DATA]


  • 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]



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