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ORCIDYuehaw Khoo
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Journal Articles
- 2024
[j14]Yuehaw Khoo, Sounak Paul
, Nir Sharon:
Deep neural-network prior for orbit recovery from method of moments. J. Comput. Appl. Math. 444: 115782 (2024)- [j13]Yuehaw Khoo, Michael Lindsey:
Scalable semidefinite programming approach to variational embedding for quantum many-body problems. J. Comput. Phys. 510: 113041 (2024) - [j12]Yian Chen, Yuehaw Khoo, Michael Lindsey:
Multiscale Semidefinite Programming Approach to Positioning Problems with Pairwise Structure. J. Sci. Comput. 101(2): 42 (2024) - 2023
- [j11]Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey:
Committor functions via tensor networks. J. Comput. Phys. 472: 111646 (2023) - [j10]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. SIAM J. Matrix Anal. Appl. 44(2): 781-821 (2023) - 2022
- [j9]José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer:
NMR assignment through linear programming. J. Glob. Optim. 83(1): 3-28 (2022) - [j8]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. SIAM J. Math. Data Sci. 4(3): 1052-1081 (2022) - 2021
- [j7]Yuehaw Khoo, Jianfeng Lu, Lexing Ying:
Efficient Construction of Tensor Ring Representations from Sampling. Multiscale Model. Simul. 19(3): 1261-1284 (2021) - 2020
- [j6]Yuehaw Khoo, Lin Lin, Michael Lindsey, Lexing Ying:
Semidefinite Relaxation of Multimarginal Optimal Transport for Strictly Correlated Electrons in Second Quantization. SIAM J. Sci. Comput. 42(6): B1462-B1489 (2020) - 2019
- [j5]Yuehaw Khoo, Lexing Ying:
Convex Relaxation Approaches for Strictly Correlated Density Functional Theory. SIAM J. Sci. Comput. 41(4): B773-B795 (2019) - [j4]Yuehaw Khoo, Lexing Ying:
SwitchNet: A Neural Network Model for Forward and Inverse Scattering Problems. SIAM J. Sci. Comput. 41(5): A3182-A3201 (2019) - 2018
- [j3]José F. S. Bravo Ferreira, Yuehaw Khoo, Amit Singer:
Semidefinite programming approach for the quadratic assignment problem with a sparse graph. Comput. Optim. Appl. 69(3): 677-712 (2018) - 2016
- [j2]Yuehaw Khoo, Ankur Kapoor:
Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming. IEEE Trans. Image Process. 25(7): 2956-2970 (2016) - 2015
- [j1]Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer:
Global Registration of Multiple Point Clouds Using Semidefinite Programming. SIAM J. Optim. 25(1): 468-501 (2015)
Conference and Workshop Papers
- 2021
- [c5]Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying:
A semigroup method for high dimensional committor functions based on neural network. MSML 2021: 598-618 - 2017
- [c4]Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl:
Fast and Robust Discrete Computational Imaging. Computational Imaging 2017: 49-54 - 2016
- [c3]Ahmet Tuysuzoglu, Yuehaw Khoo, W. Clem Karl:
Variable splitting techniques for discrete tomography. ICIP 2016: 1764-1768 - 2015
- [c2]Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer:
Large-scale sensor network localization via rigid subnetwork registration. ICASSP 2015: 2849-2853 - 2014
- [c1]Afonso S. Bandeira, Yuehaw Khoo, Amit Singer:
Open Problem: Tightness of maximum likelihood semidefinite relaxations. COLT 2014: 1265-1267
Informal and Other Publications
- 2024
- [i30]Yuehaw Khoo, Yifan Peng, Daren Wang:
Nonparametric Estimation via Variance-Reduced Sketching. CoRR abs/2401.11646 (2024) - [i29]Fabian M. Faulstich, Yuehaw Khoo, Kangbo Li:
Augmented Lagrangian method for coupled-cluster. CoRR abs/2403.16381 (2024) - [i28]Yi Wang, Yuehaw Khoo:
Solving cluster moment relaxation with hierarchical matrix. CoRR abs/2408.00235 (2024) - 2023
- [i27]Yifan Peng, Yian Chen, E. Miles Stoudenmire, Yuehaw Khoo:
Generative Modeling via Hierarchical Tensor Sketching. CoRR abs/2304.05305 (2023) - [i26]Yuehaw Khoo, Sounak Paul, Nir Sharon:
Deep Neural-network Prior for Orbit Recovery from Method of Moments. CoRR abs/2304.14604 (2023) - [i25]Yuehaw Khoo, Michael Lindsey, Hongli Zhao:
Tensorizing flows: a tool for variational inference. CoRR abs/2305.02460 (2023) - [i24]Yian Chen, Yuehaw Khoo:
Combining Particle and Tensor-network Methods for Partial Differential Equations via Sketching. CoRR abs/2305.17884 (2023) - [i23]Yian Chen, Yuehaw Khoo, Lek-Heng Lim:
Convex Relaxation for Fokker-Planck. CoRR abs/2306.03292 (2023) - [i22]Yoonhaeng Hur, Yuehaw Khoo:
Matching via Distance Profiles. CoRR abs/2312.12641 (2023) - 2022
- [i21]Yoonhaeng Hur, Jeremy G. Hoskins, Michael Lindsey, E. Miles Stoudenmire, Yuehaw Khoo:
Generative modeling via tensor train sketching. CoRR abs/2202.11788 (2022) - [i20]Hanyang Jiang, Yuehaw Khoo, Haizhao Yang:
Reinforced Inverse Scattering. CoRR abs/2206.04186 (2022) - [i19]Xun Tang, Yoonhaeng Hur, Yuehaw Khoo, Lexing Ying:
Generative Modeling via Tree Tensor Network States. CoRR abs/2209.01341 (2022) - [i18]Tamir Bendory, Yuehaw Khoo, Joe Kileel, Oscar Mickelin, Amit Singer:
Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms. CoRR abs/2209.10531 (2022) - [i17]Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying:
High-dimensional density estimation with tensorizing flow. CoRR abs/2212.00759 (2022) - 2021
- [i16]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
Joint Community Detection and Rotational Synchronization via Semidefinite Programming. CoRR abs/2105.06031 (2021) - [i15]Yian Chen, Jeremy G. Hoskins, Yuehaw Khoo, Michael Lindsey:
Committor functions via tensor networks. CoRR abs/2106.12515 (2021) - [i14]Yifeng Fan, Yuehaw Khoo, Zhizhen Zhao:
A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization. CoRR abs/2112.13199 (2021) - 2020
- [i13]José F. S. Bravo Ferreira, David Cowburn, Yuehaw Khoo, Amit Singer:
NMR Assignment through Linear Programming. CoRR abs/2008.03641 (2020) - [i12]Haoya Li, Yuehaw Khoo, Yinuo Ren, Lexing Ying:
Solving for high dimensional committor functions using neural network with online approximation to derivatives. CoRR abs/2012.06727 (2020) - [i11]Yian Chen, Yuehaw Khoo, Michael Lindsey:
Multiscale semidefinite programming approach to positioning problems with pairwise structure. CoRR abs/2012.10046 (2020) - 2019
- [i10]Nir Sharon, Joe Kileel, Yuehaw Khoo, Boris Landa, Amit Singer:
Method of moments for 3-D single particle ab initio modeling with non-uniform distribution of viewing angles. CoRR abs/1907.05377 (2019) - 2018
- [i9]Yuehaw Khoo, Jianfeng Lu, Lexing Ying:
Solving for high dimensional committor functions using artificial neural networks. CoRR abs/1802.10275 (2018) - [i8]Yuehaw Khoo, Lexing Ying:
SwitchNet: a neural network model for forward and inverse scattering problems. CoRR abs/1810.09675 (2018) - [i7]Senwei Liang, Yuehaw Khoo, Haizhao Yang:
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR abs/1811.05850 (2018) - 2016
- [i6]Yuehaw Khoo, Amit Singer, David Cowburn:
Residual Dipolar Coupling, Protein Backbone Conformation and Semidefinite Programming. CoRR abs/1604.01504 (2016) - [i5]Yuehaw Khoo, Amit Singer, David Cowburn:
Bias Correction in Saupe Tensor Estimation. CoRR abs/1606.06975 (2016) - 2015
- [i4]Yuehaw Khoo, Ankur Kapoor:
Towards non-iterative closest point: Exact recovery of pose for rigid 2D/3D registration using semidefinite programming. CoRR abs/1501.00630 (2015) - 2014
- [i3]Afonso S. Bandeira, Yuehaw Khoo, Amit Singer:
Open problem: Tightness of maximum likelihood semidefinite relaxations. CoRR abs/1404.2655 (2014) - 2013
- [i2]Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer, David Cowburn:
Global registration of multiple point clouds using semidefinite programming. CoRR abs/1306.5226 (2013) - [i1]Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer:
Large-Scale Sensor Network Localization via Rigid Subnetwork Registration. CoRR abs/1310.8135 (2013)
Coauthor Index
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