Senior Researcher @ Vicarious building intelligent machines.


2011    Ph.D. in Scientific Computing    Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
2006    M.E. & B.E. in Engineering Physics  @ Tsinghua University, Beijing, China


* Applications in image recognition, text analysis and computational biology


08/2014-present    Senior Researcher   @ Vicarious FPC Inc., Bay Area, USA
10/2013-08/2014    Data Scientist      @ Microsoft Bing, Bay Area, USA
04/2012-10/2013    Research Fellow     @ Memorial Sloan-Kettering Cancer Center, New York City,USA
10/2007-04/2012    Research Assistant  @ Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
10/2006-10/2007    Research Developer  @ IBM Research, Beijing, China

Academic Activities

* Committee    @ IEEE ICIP 2014, PSB CP 2014, MICCAI MCV 2013/2014
* Reviewing    @ JMLR, NIPS, CVPR, Bioinformatics, ICIP, PLoS One, ISMB, PSB, etc.
* Speaking     @ Harvard, Cambridge, NYU, Siemens Research, GE Global Research, etc.


Open Source

* BOT (Biological Object Tracking)                         @ github.com
* PLEASD (Prediction and LEArning with Structured Data)    @ mloss.org 

Selected Papers

http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_14_active.pdf X. Lou , M. Schiegg, and F. A. Hamprecht. Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability. IEEE Transactions on Medical Imaging, 33(4):849 – 860, 2014.
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_14_structured.pdf X. Lou , M. Kloft, G. Rätsch, and F. A. Hamprecht. Structured Learning from Cheap Data. In S. Nowozin, P. V. Gehler, J. Jancsary, and C. Lampert, editors, Advanced Structured Prediction. MIT Press, 2014.
http://www.ncbi.nlm.nih.gov/pubmed/24672759 X. Lou , M. Kang, and others. A rapid and efficient 2D/3D nuclear segmentation method for analysis of early mouse embryo and stem cell image data. Stem Cell Reports, 2(3):382–397, 2014.
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lindner_14_hexicon.pdf R. Lindner, X. Lou, and others. Automated Processing of Hydrogen-Deuterium Exchange Mass Spectrometry Data with Improved Deuteration Distribution Estimation. Journal of the American Society for Mass Spectrometry, 2014.
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6753903&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6753903 K. R. Chan, X. Lou, and others. An Empirical Analysis of Topic Modeling for Mining Cancer Clinical Notes. In ICDM Biological Data Mining and its Applications in Healthcare (ICDM-BioDM), 2013.
https://d277f6d674b2cfd0d2436b2145030d5d731cac78.googledrive.com/host/0B0TBaU3UgQ0Da3A2S2VWNTRzc1E/papers.html T. Karaletsos, X. Lou, and others. Towards an integrated dynamic model of temporal structure of clinical text notes and interactions with genetic profiles. In NIPS Machine Learning for Clinical Data Analysis and Healthcare (NIPS-MLCDA), 2013.
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_12_structured.pdf X. Lou and F. A. Hamprecht. Structured Learning from Partial Annotations. In International Conference on Machine Learning (ICML), 2012.
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_12_learning.pdf X. Lou, U. Köthe, J. Wittbrodt, and F. A. Hamprecht. Learning to Segment Dense Cell Nuclei with Shape Prior. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_12_quality.pdf X. Lou, L. Fiaschi, U. Köthe, and F. A. Hamprecht. Quality Classification of Microscopic Imagery with Weakly Supervised Learning. In MICCAI Machine Learning for Medical Imaging (MICCAI-MLMI), 2012. (Best Paper Award).
http://www.mlcb.org/previous/mlcb2012 X. Lou, C. Widmer, M. Kang, G. Rätsch, and A.-K. Hadjantonakis. Structured Domain Adaptation Across Imaging Modality: How 2D Data Helps 3D Inference. In NIPS Machine Learning in Computational Biology (NIPS-MLCB), 2012. 
http://books.nips.cc/papers/files/nips24/NIPS2011_0766.pdf X. Lou and F. A. Hamprecht. Structured Learning for Cell Tracking. In Neural Information Processing Systems (NIPS), 2011.
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_11_structured.pdf X. Lou, F. O. Kaster, and others. DELTR: Digital Embryo Lineage Tree Reconstructor. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2011. (Oral).
http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/lou_10_deuteration.pdf X. Lou , M. Kirchner, and others. Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments. Bioinformatics, 26(12):1535, 2010.
http://www.google.com/patents/US20080307369 X. Lou, S. Liu, H. Su, and H. C. Young. METHOD, INTERACTION METHOD AND APPARATUS FOR VISUALIZING HIERARCHY DATA WITH ANGULAR CHART, December 2008. United States Patent 20080307369.
http://hci.iwr.uni-heidelberg.de/Staff/xlou/publications/lou_07_fanlens.pdf X. Lou, S. Liu, and T. Wang. FanLens: Dynamic Hierarchical Exploration of Tabular Data. In IEEE Information Visualization Conference (InfoVis), 2007. (Poster Compendium).