Selected professional awards

NIPS Outstanding Reviewer (2016)
NYAS Machine Learning Symposium Best Poster Award (2016)
IBM PhD Fellowship Award (2014-2015)
Facebook PhD Fellowship Finalist Award (2014)
ACM ICMR Best Paper Award (2014)
NYAS Machine Learning Symposium Spotlight Presentation Award (2014)
EGSC Professional Development Scholarship (2014)
GNY Multimedia and Vision Meeting Best Poster Award (2013)
ACM Multimedia Best Paper Award (2011)


Research Scientist, Google Research (2015-date)
    Large-scale machine learning on/for mobile devices
Intern, Google Research (summer 2014)
    Worked with Sanjiv Kumar and Henry Rowley on large-scale machine learning in compressed spaces
Intern, IBM T.J. Watson Research Center (summer 2012 and 2013)
    Worked with Liangliang Cao, Rogerio Feris, John Smith on attribute based visual recognition and event detection

Selected professional services

     NIPS 2015 Workshop Learning and Privacy with Incomplete Data and Weak Supervision
     International Conference on Multimedia Retrieval (ICMR) 2016
Reviewer for journals:
     Journal of Machine Learning Research (JMLR)
     IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
     International Journal of Computer Vision (IJCV)
     IEEE Transactions on Image Processing (TIP)
     IEEE Transactions on Multimedia (TMM)
     ACM Transactions on Multimedia Computing, Communications and Applications (TOMMCAP)
     IEEE Transactions on Cybernetics (TOC)
     Computer Vision and Image Understanding (CVIU)
Program committee:
     Neural Information Processing Systems (NIPS)
     International Conference on Machine Learning (ICML)
     Computer Vision and Pattern Recognition (CVPR)
     International Conference on Computer Vision (ICCV)
     European Conference on Computer Vision (ECCV)
     ACM Multimedia (ACM MM)
     International Conference on Multimedia Retrieval (ICMR)

Selected talks

Large-scale machine learning with circulant matrices
* Stanford University, Stanford, CA, 10/2015
Circulant Binary Embedding
* Amazon, Inc. Seattle, WA, 11/2014
* Google Inc., New York, NY, 07/2014
* ICML 2014, Beijing, China, 06/2014
Learning from label proportions: algorithm, theory, and applications
* Twitter, Inc. San Francisco, CA, 12/2014
* Machine Learning Seminar, NYU Courant, New York, NY, 10/2014
* IBM Department Seminar, Yorktown Heights, NY, 05/2014
* 8th Annual Machine Learning Symposium, New York, NY, 03/2014
* Google Inc., New York, NY, 09/2013
$\propto$SVM for learning with label proportions
* ICML 2013, Atlanta, GA, 06/2013
* IBM Department Seminar, New York, NY, 06/2013
Semi-supervised Learning
* Lecture 9 of Advanced Machine Learning (COMS W6772), Columbia University, New York, NY, 04/02/2013
Automatic attribute design for discriminative visual recognition
* IBM Department Seminar, IBM T.J. Watson Research Center, Hawthorne, NY, 10/02/2012
Active Query Sensing for mobile location search
* Best paper session (plenary oral presentation), ACM Multimedia 2011, Scottsdale, AZ, 11/29/2011