Global registration of multiple point clouds using semidefinite programming. - Kunal N. Chaudhury; Yuehaw Khoo; Amit Singer; David Cowburn (CoRR, 2013)

Open Problem: Tightness of maximum likelihood semidefinite relaxations. - Afonso S. Bandeira; Yuehaw Khoo; Amit Singer (COLT, 2014)

Large-scale sensor network localization via rigid subnetwork registration. - Kunal N. Chaudhury; Yuehaw Khoo; Amit Singer (ICASSP, 2015)

Towards non-iterative closest point: Exact recovery of pose for rigid 2D/3D registration using semidefinite programming. - Yuehaw Khoo; Ankur Kapoor (CoRR, 2015)

Global Registration of Multiple Point Clouds Using Semidefinite Programming. - Kunal N. Chaudhury; Yuehaw Khoo; Amit Singer (SIAM J. Optim., 2015)

Variable splitting techniques for discrete tomography. - Ahmet Tuysuzoglu; Yuehaw Khoo; W. Clem Karl (ICIP, 2016)

Residual Dipolar Coupling, Protein Backbone Conformation and Semidefinite Programming. - Yuehaw Khoo; Amit Singer; David Cowburn (CoRR, 2016)

Bias Correction in Saupe Tensor Estimation. - Yuehaw Khoo; Amit Singer; David Cowburn (CoRR, 2016)

Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming. - Yuehaw Khoo; Ankur Kapoor (IEEE Trans. Image Process., 2016)

Fast and Robust Discrete Computational Imaging. - Ahmet Tuysuzoglu; Yuehaw Khoo; W. Clem Karl (Computational Imaging, 2017)

Semidefinite programming approach for the quadratic assignment problem with a sparse graph. - José F. S. Bravo Ferreira; Yuehaw Khoo; Amit Singer (Comput. Optim. Appl., 2018)

Solving for high dimensional committor functions using artificial neural networks. - Yuehaw Khoo; Jianfeng Lu 001; Lexing Ying (CoRR, 2018)

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. - Senwei Liang; Yuehaw Khoo; Haizhao Yang (CoRR, 2018)

Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. - Nir Sharon; Joe Kileel 001; Yuehaw Khoo; Boris Landa; Amit Singer (CoRR, 2019)

Convex Relaxation Approaches for Strictly Correlated Density Functional Theory. - Yuehaw Khoo; Lexing Ying (SIAM J. Sci. Comput., 2019)

SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems. - Yuehaw Khoo; Lexing Ying (SIAM J. Sci. Comput., 2019)

Solving for high dimensional committor functions using neural network with online approximation to derivatives. - Haoya Li; Yuehaw Khoo; Yinuo Ren; Lexing Ying (CoRR, 2020)

Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization. - Yuehaw Khoo; Lin Lin 001; Michael Lindsey; Lexing Ying (SIAM J. Sci. Comput., 2020)

A semigroup method for high dimensional committor functions based on neural network. - Haoya Li; Yuehaw Khoo; Yinuo Ren; Lexing Ying (MSML, 2021)

Efficient Construction of Tensor Ring Representations from Sampling. - Yuehaw Khoo; Jianfeng Lu 001; Lexing Ying (Multiscale Model. Simul., 2021)

Generative modeling via tensor train sketching. - Yoonhaeng Hur; Jeremy G. Hoskins; Michael Lindsey; E. Miles Stoudenmire; Yuehaw Khoo (CoRR, 2022)

Generative Modeling via Tree Tensor Network States. - Xun Tang; Yoonhaeng Hur; Yuehaw Khoo; Lexing Ying (CoRR, 2022)

Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. - Tamir Bendory; Yuehaw Khoo; Joe Kileel 001; Oscar Mickelin; Amit Singer (CoRR, 2022)

High-dimensional density estimation with tensorizing flow. - Yinuo Ren; Hongli Zhao; Yuehaw Khoo; Lexing Ying (CoRR, 2022)

NMR assignment through linear programming. - José F. S. Bravo Ferreira; David Cowburn; Yuehaw Khoo; Amit Singer (J. Glob. Optim., 2022)

Joint Community Detection and Rotational Synchronization via Semidefinite Programming. - Yifeng Fan; Yuehaw Khoo; Zhizhen Zhao 001 (SIAM J. Math. Data Sci., 2022)

Generative Modeling via Hierarchical Tensor Sketching. - Yifan Peng 005; Yian Chen; E. Miles Stoudenmire; Yuehaw Khoo (CoRR, 2023)

Tensorizing flows: a tool for variational inference. - Yuehaw Khoo; Michael Lindsey; Hongli Zhao (CoRR, 2023)

Combining Particle and Tensor-network Methods for Partial Differential Equations via Sketching. - Yian Chen; Yuehaw Khoo (CoRR, 2023)

Convex Relaxation for Fokker-Planck. - Yian Chen; Yuehaw Khoo; Lek-Heng Lim (CoRR, 2023)

Matching via Distance Profiles. - Yoonhaeng Hur; Yuehaw Khoo (CoRR, 2023)

Committor functions via tensor networks. - Yian Chen; Jeremy G. Hoskins; Yuehaw Khoo; Michael Lindsey (J. Comput. Phys., 2023)

A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. - Yifeng Fan; Yuehaw Khoo; Zhizhen Zhao 001 (SIAM J. Matrix Anal. Appl., 2023)

S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization. - Licheng Zhu; Mathias Oster; Yuehaw Khoo (NeurIPS, 2024)

Nonparametric Estimation via Variance-Reduced Sketching. - Yuehaw Khoo; Yifan Peng 005; Daren Wang (CoRR, 2024)

Augmented Lagrangian method for coupled-cluster. - Fabian M. Faulstich; Yuehaw Khoo; Kangbo Li (CoRR, 2024)

Solving cluster moment relaxation with hierarchical matrix. - Yi Wang; Yuehaw Khoo (CoRR, 2024)

Subspace method of moments for ab initio 3-D single-particle Cryo-EM reconstruction. - Jeremy G. Hoskins; Yuehaw Khoo; Oscar Mickelin; Amit Singer; Yuguan Wang (CoRR, 2024)

Re-anchoring Quantum Monte Carlo with Tensor-Train Sketching. - Ziang Yu; Shiwei Zhang; Yuehaw Khoo (CoRR, 2024)

Tensor Density Estimator by Convolution-Deconvolution. - Yifan Peng 005; Siyao Yang; Yuehaw Khoo; Daren Wang (CoRR, 2024)

Deep neural-network prior for orbit recovery from method of moments. - Yuehaw Khoo; Sounak Paul; Nir Sharon (J. Comput. Appl. Math., 2024)

Scalable semidefinite programming approach to variational embedding for quantum many-body problems. - Yuehaw Khoo; Michael Lindsey (J. Comput. Phys., 2024)

Reinforced Inverse Scattering. - Hanyang Jiang; Yuehaw Khoo; Haizhao Yang (SIAM J. Sci. Comput., 2024)

Multiscale Semidefinite Programming Approach to Positioning Problems with Pairwise Structure. - Yian Chen; Yuehaw Khoo; Michael Lindsey (J. Sci. Comput., 2024)

Multi-Frequency Far-Field Wave Scattering Data. - Owen Melia; Olivia Orianne Tsang; Vasileios Charisopoulos; Yuehaw Khoo; Jeremy G. Hoskins; Rebecca Willett (Zenodo, 2024)

Multi-frequency progressive refinement for learned inverse scattering. - Owen Melia; Olivia Tsang; Vasileios Charisopoulos; Yuehaw Khoo; Jeremy G. Hoskins; Rebecca Willett (J. Comput. Phys., 2025)

Solving cluster moment relaxation with hierarchical matrix. - Yi Wang; Rizheng Huang; Yuehaw Khoo (J. Comput. Phys., 2025)

Initialization and training of matrix product state probabilistic models. - Xun Tang; Yuehaw Khoo; Lexing Ying (CoRR, 2025)

Optimization-Free Diffusion Model - A Perturbation Theory Approach. - Yuehaw Khoo; Mathias Oster; Yifan Peng (CoRR, 2025)

On a spherically lifted spin model at finite temperature. - Xun Tang; Yuehaw Khoo; Lexing Ying (CoRR, 2025)