Quoc V. Le


Infomation:
PhD Student, AI Lab, Department of Computer Science, Stanford University.
Advisor: Professor Andrew Ng.
Address: Room 112, Gates Building 1A, Stanford CA 94305.
Email: someone@somewhere where someone is quocle and somewhere is stanford.edu
I did my undergraduate degree at ANU & NICTA (Canberra, Australia), under the supervision of Professor Alex Smola.
I was also a research visitor at Dept Schölkopf, Max Planck Institute for Biological Cybernetics (Tübingen, Germany).

(Almost complete bibfile)

All publications

Recent publications:

  • I.J. Goodfellow, Q.V. Le, A.M. Saxe, H. Lee, A.Y. Ng,
    Measuring invariances in deep networks NIPS, 2009. [PDF]
    Topics: invariances, unsupervised learning, neural networks.

  • A. Coates, P. Baumstarck, Q. Le, and A. Y. Ng
    Scalable Learning for Object Detection with GPU Hardware. IROS, 2009. [PDF]
    Topics: object detection, special hardware, GPUs.

  • Q.V. Le, A.Y. Ng.
    Joint calibration of multiple sensors. IROS, 2009. [PDF]
    Topics: robotic sensor calibration.

  • M. Quigley, S. Batra, S. Gould, E. Klingbeil, Q.V. Le, A. Wellman, A.Y. Ng.
    High Accuracy 3D Sensing for Mobile Manipulation: Improving Object Detection and Door Opening. ICRA, 2009. [PDF]
    Topics: 3D sensing hardware, object detection, manipulation.

  • C.H. Teo, S.V.N. Vishwanathan, A. Smola, Q.V. Le.
    Bundle Methods for Regularized Risk Minimization. JMLR (To appear), 2009. [PDF] [Code]
    Topics: learning and large-scale optimization.
    Notes: previous shorter versions appeared in KDD and NIPS with Appendix

  • N. Quadrianto, A.J. Smola, T.S. Caetano, Q.V. Le
    Estimating Labels from Label Proportions. JMLR (To appear), 2009. [PDF]
    Topics: Gaussian Process classification, transduction, semi-supervised learning, prior knowledge.
    Notes: a previous shorter version appeared in ICML

  • C.B. Do, Q.V. Le, C.S. Foo.
    Proximal regularization for online and batch learning. ICML, 2009. [PDF (short)] [PDF (longer)]
    Topics: learning and optimization.

  • T.S. Caetano, J.J. McAuley, L. Cheng, Q.V. Le, A.J. Smola.
    Learning Graph Matching. PAMI, 2009. [PDF], [Digital library link], [Code]
    Topics: graph matching, structured estimation.

  • C.B. Do, Q.V. Le, C.H. Teo, O. Chapelle, A.J. Smola.
    Tighter Bounds for Structured Estimation. NIPS 21, 2009. [PDF]
    Topics: structured estimation, computational biology, ranking.

    People (coauthors and friends):
  • Yasemin Altun
  • Christopher J.C. Burges
  • Tiberio Caetano
  • Li Cheng
  • Olivier Chapelle
  • Adam Coates
  • Chuong (Tom) Do
  • Chuan-Sheng (CS) Foo
  • Thomas Gärtner
  • Stephen Gould
  • Alexandros Karatzoglou
  • Ellen Klingbeil
  • Honglak Lee
  • Julian McAuley
  • Novi Quadrianto
  • Morgan Quigley
  • Tim Sears
  • Alex Smola
  • Le Song
  • Choon Hui Teo
  • S V N Vishwanathan
  • Markus Weimer
  • Xinhua Zhang

    Talks:
  • ICML 2006
  • ICML 2005

    Software:
  • Some code is in ELEFANT or also in MLOSS .
  • Some other is in BMRM (mostly ChoonHui's work).

    Links:
  • STAIR project

    Misc:
  • This site has a lot of stories in Vietnamese.
  • Me at Kioloa.
  • A dramatic picture of me drawn by some famous person.
  • A project by a friend of mine: JobHits (jobs in UK and overseas).





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