Yuehaw Khoo

I'm an assistant professor at the Department of Statistics at University of Chicago. I am also a member of Committee on Computational and Applied Mathematics (CCAM). I am interested in computational problems in structural biology and quantum many-body physics. I was extremely fortunate to have Amit Singer at Princeton as my Ph.D. adviser during 2012-2016, Lexing Ying at Stanford as my post-doc mentor during 2016-2019, and Phuan Ong at Princeton supervising my master thesis in experimental physics during 2010-2012.

Education

Ph.D., Physics, Princeton University (2016).

B.Sc., Physics, University of Virginia (2009).

Research Interests

Scientific applications of convex optimization, neural-network, tensor-network.

Computational structural biology problems from NMR spectroscopy and Cryo-EM data.

Computational physics problems for strongly correlated system.

Matching and registration problems with medical and biological applications.

Publications and Preprints

Nonparametric Estimation via Variance-Reduced Sketching.
Y. Khoo, Y. Peng, D. Wang. Preprint.[arXiv]

Matching via Distance Profiles.
Y. Hur, Y. Khoo. Preprint.[arXiv]

Convex Relaxation for Fokker-Planck.
Y. Chen, Y. Khoo, L. Lim. Preprint.[arXiv]

Combining Monte-Carlo and Tensor-network Methods for Partial Differential Equations via Sketching.
Y. Chen, Y. Khoo. Preprint.[arXiv]

Generative modeling via hierarchical tensor sketching.
Y. Peng, Y. Chen, E.M. Stoudenmire, Y.Khoo. Preprint.[arXiv]

Reinforced inverse scattering.
H. Jiang, Y. Khoo, H. Yang. Preprint. [arXiv]

Scalable semidefinite programming approach to variational embedding for quantum many-body problems.
Y. Khoo, M. Lindsey. Preprint. [arXiv]

Multiscale semidefinite programming approach to positioning problems with pairwise structure.
Y. Chen, Y. Khoo, M. Lindsey. Preprint [arXiv]

Maximizing robustness of point-set registration by leveraging non-convexity.
C. Orozco Bohorquez, Y. Khoo, L. Ying. Preprint. [arXiv]

Bias correction in Saupe tensor estimation.
Y. Khoo, A. Singer, and D. Cowburn. Preprint. [arXiv]

Deep neural-network prior for orbit recovery from method of moments.
Y. Khoo, S. Paul, N. Sharon. Journal of Computational and Applied Mathematics.[arXiv]

Generative modeling via tensor train sketching.
Y. Hur, J. Hoskins, M. Lindsey, E.M. Stoudenmire, Y. Khoo. Applied and Computational Harmonic Analysis. [arXiv]

Generative Modeling via Tree Tensor Network States.
X. Tang, Y. Hur, Y. Khoo, L. Ying. Research in the Mathematical Sciences, 2023. [arXiv]

High-dimensional density estimation with tensorizing flow.
Y. Ren, H. Zhao, Y. Khoo, L. Ying. Research in the Mathematical Sciences, 2023.[arXiv, DOI]

Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms.
T. Bendory, Y. Khoo, J. Kileel, O. Mickelin, A. Singer. Proceedings of the National Academy of Sciences, accepted. [arXiv]

Quantitatively visualizing bipartite datasets.
T. Einav, Y. Khoo, A. Singer. Physical Review X, accepted. [arXiv]

A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization.
Y. Fan, Y. Khoo, Z. Zhao. SIAM Journal on Matrix Analysis and Applications, accepted. [arXiv]

Committor functions via tensor networks.
Y. Chen, J. Hoskins, Y. Khoo, M. Lindsey. Journal of Computational Physics, 2022. [arXiv,DOI]

Joint Community Detection and Rotational Synchronization via Semidefinite Programming.
Y. Fan, Y. Khoo, Z. Zhao. SIAM Journal on Mathematics of Data Science, 2022. [arXiv,DOI]

A semigroup method for high dimensional committor functions based on neural network.
H. Li, Y. Khoo, Y. Ren, L. Ying. Mathematical and Scientific Machine Learning, 2021 [arXiv]

NMR Assignment through Linear Programming.
J.F.S. Bravo-Ferreira, D. Cowburn, Y. Khoo, A. Singer. Journal of Global Optimization, 2021 [arXiv]

Efficient construction of tensor ring representations from sampling.
Y. Khoo, J. Lu, and L. Ying. Multiscale Modeling and Simulation 2021. [arXiv]

Semidefinite relaxation of multi-marginal optimal transport for strictly correlated electrons in second quantization.
Y. Khoo, L. Lin, M. Lindsey, L. Ying. SIAM Journal on Scientific Computing, 2020 [arXiv]

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.
S. Liang, Y. Khoo, H. Yang. Communications on Applied Mathematics and Computation, 2020. [arXiv]

Solving parametric PDE problems with artificial neural networks.
Y. Khoo, J. Lu, and L. Ying. European Journal on Applied Mathematics, 2020. [arXiv, DOI]

Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles.
N. Sharon, J. Kileel, Y. Khoo, B. Landa, A. Singer. Inverse Problem, 2020. [arXiv, DOI]

Convex relaxation approaches for strictly correlated density functional theory.
Y. Khoo and L. Ying. SIAM Journal on Scientific Computing, 2019. [arXiv, DOI]

SwitchNet: a neural network model for forward and inverse scattering problems.
Y. Khoo and L. Ying. SIAM Journal on Scientific Computing, 2019.[arXiv, DOI]

Solving for high dimensional committor functions using artificial neural networks.
Y. Khoo, J. Lu, and L. Ying. Research in the Mathematical Sciences, 2019. [arXiv], DOI]

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

Contact

Department of Statistics, University of Chicago
5737 S Ellis Ave., IL 60637
ykhoo (at) uchicago (dot) edu