Yuehaw Khoo

I'm a post-doc at the Department of Mathematics, Stanford University, working with Lexing Ying. Previously, I did my Ph.D. study with Amit Singer at Princeton University. During the first two years in graduate school, I worked in experimental condensed matter physics in Ong's lab.

Education

  • Ph.D., Physics, Princeton University (2016).
  • B.Sc., Physics, University of Virginia (2009).
  • Research Interests

  • Computational structural biology
    Convex programming approaches for protein structuring from NMR spectroscopy.
  • High-dimensional function compression
    Tensor decompositions, neural-network applications in physics and PDE.
  • Computer vision
    Matching and registration problems with medical and biological applications.
  • Publications and Preprints

  • Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.
    S. Liang, Y. Khoo, H. Yang. Preprint. [arXiv]
  • SwitchNet: a neural network model for forward and inverse scattering problems.
    Y. Khoo and L. Ying. Preprint. [arXiv]
  • Convex relaxation approaches for strictly correlated density functional theory.
    Y. Khoo and L. Ying. Preprint. [arXiv]
  • Efficient construction of tensor ring representations from sampling.
    Y. Khoo, J. Lu, and L. Ying. Preprint. [arXiv]
  • Solving parametric PDE problems with artificial neural networks.
    Y. Khoo, J. Lu, and L. Ying. Preprint. [arXiv]
  • Bias correction in Saupe tensor estimation.
    Y. Khoo, A. Singer, and D. Cowburn. Preprint. [arXiv]
  • Solving for high dimensional committor functions using artificial neural networks.
    Y. Khoo, J. Lu, and L. Ying. Research in the Mathematical Sciences, Accepted. [arXiv]
  • Semidefinite Programming Approach for the Quadratic Assignment Problem with a Sparse Graph.
    J.F.S. Bravo Ferreira, Y. Khoo, and A. Singer. Computational Optimization and Applications, 2017. [arXiv, DOI]
  • Integrating NOE and RDC using sum-of-squares relaxation for protein structure determination.
    Y. Khoo, A. Singer, and D. Cowburn. Journal of Biomolecular NMR, 2017. [arXiv, DOI]
  • Fast and Robust Discrete Computational Imaging.
    A. Tuysuzoglu, Y. Khoo, and W.C. Karl. Electronic Imaging, 2017. [DOI]
  • Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming
    Y. Khoo, and A. Kapoor. IEEE Transactions on Image Processing, 2016. [arXiv, DOI]
  • Variable splitting techniques for discrete tomography.
    A. Tuysuzoglu, Y. Khoo, and W.C. Karl. IEEE International Conference on Image Processing (ICIP), 2016. [DOI]
  • Global registration of multiple point clouds using semidefinite programming.
    K.N. Chaudhury, Y. Khoo, and A. Singer. SIAM Journal on Optimization, 2015. [arXiv, DOI]
  • Large scale sensor network localization via rigid subnetwork registration.
    K.N. Chaudhury, Y. Khoo, and A. Singer. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015. [arXiv]
  • Open problem: Tightness of maximum likelihood semidefinite relaxations.
    A.S. Bandeira, Y. Khoo, and A. Singer. Proceedings of The 27th Conference on Learning Theory (COLT), 2014. [arXiv]
  • Tuning the quantum oscillations of surface Dirac electron in the topological insulator Bi2Te2Se.
    J. Xiong, Y. Khoo, S. Jia, R.J. Cava, and N.P. Ong. Physical Review B, 2013. [arXiv, DOI]
  • High field Shubnikov-de Haas oscillation in the topological insulator Bi2Te2Se.
    J. Xiong, Y. Luo, Y. Khoo, S. Jia, R.J. Cava, and N.P. Ong. Physical Review B, 2012. [arXiv, DOI]
  • Patents

  • System and Method for Real-Time Ultrasound Guided Prostate Needle Biopsies Using a Compliant Robotic Arm.
    J. Benson, R. Chiao, D. Comaniciu, A. Kamen, A. Kapoor, Y. Khoo, and A. Milkowski.
  • Initialization independent approaches towards registration of 3D models with 2D projections.
    Y. Khoo, A. Kapoor
  • Teaching Experiences

    MAT113: Linear Algebra and Matrix Theory (Instructor), Summer 2018
    MAT203: Advanced Vector Calculus (TA), Fall 2015
    MAT104: Calculus II (TA), Fall 2015
    MAT585: Mathematical Analysis of Massive Data Sets (TA), Spring 2015
    MAT191: An Integrated Introduction to Engineering, Mathematics (TA), Physics, Fall 2014
    PHY103/104: General Physics (Lab instructor), Fall 2011- Spring 2014

    Contact

    Department of Mathematics, Stanford University
    450 Serra Mall, Bldg. 380, Stanford, CA 94305
    ykhoo (at) stanford (dot) edu