Yen-Huan Li
Yen-Huan Li
Associate Professor of Computer Science, National Taiwan University
Verified email at - Homepage
Cited by
Cited by
Learning-based compressive MRI
B Gözcü, RK Mahabadi, YH Li, E Ilıcak, T Çukur, J Scarlett, V Cevher
IEEE transactions on medical imaging 37 (6), 1394-1406, 2018
Learning-based compressive subsampling
L Baldassarre, YH Li, J Scarlett, B Gözcü, I Bogunovic, V Cevher
IEEE Journal of Selected Topics in Signal Processing 10 (4), 809-822, 2016
An Interpretation of the Moore-Penrose Generalized Inverse of a Singular Fisher Information Matrix
YH Li, PC Yeh
IEEE Tran. Signal Process. 60 (10), 5532-5536, 2012
Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable poisson phase retrieval
G Odor, YH Li, A Yurtsever, YP Hsieh, Q Tran-Dinh, M El Halabi, V Cevher
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Sparsistency of ℓ1-Regularized M-Estimators
YH Li, J Scarlett, P Ravikumar, V Cevher
Proceedings of the 18th International Conference on Artificial Intelligence …, 2015
Composite convex minimization involving self-concordant-like cost functions
Q Tran-Dinh, YH Li, V Cevher
Modelling, Computation and Optimization in Information Systems and …, 2015
MIMO-OFDM PHY integrated (MOPI) scheme for confidential wireless transmission
JP Cheng, YH Li, PC Yeh, CM Cheng
2010 IEEE Wireless Communication and Networking Conference, 1-6, 2010
Convergence of the exponentiated gradient method with Armijo line search
YH Li, V Cevher
Journal of Optimization Theory and Applications 181 (2), 588-607, 2019
Minimizing quantum Rényi divergences via mirror descent with Polyak step size
JK You, HC Cheng, YH Li
2022 IEEE International Symposium on Information Theory (ISIT), 252-257, 2022
Consistency of ℓ1-Regularized Maximum-Likelihood for Compressive Poisson Regression
YH Li, V Cevher
40th IEEE Int. Conf. Acoustics, Speech and Signal Processing, 2015
A Geometric View on Constrained M-Estimators
YH Li, YP Hsieh, N Zerbib, V Cevher
arXiv preprint arXiv:1506.08163, 2015
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States
CE Tsai, HC Cheng, YH Li
International Conference on Algorithmic Learning Theory, 1481-1483, 2023
Learning data triage: Linear decoding works for compressive MRI
YH Li, V Cevher
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
An online algorithm for maximum-likelihood quantum state tomography
CM Lin, YM Hsu, YH Li
arXiv preprint arXiv:2012.15498, 2020
A general convergence result for mirror descent with Armijo line search
YH Li, CA Riofrío, V Cevher
arXiv preprint arXiv:1805.12232, 2018
Estimation error of the constrained lasso
N Zerbib, YH Li, YP Hsieh, V Cevher
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
Barrier smoothing for nonsmooth convex minimization
Q Tran-Dinh, YH Li, V Cevher
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Data-dependent bounds for online portfolio selection without Lipschitzness and smoothness
CE Tsai, YT Lin, YH Li
Advances in Neural Information Processing Systems 36, 2024
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
CE Tsai, HC Cheng, YH Li
arXiv preprint arXiv:2211.12880, 2022
Maximum-Likelihood Quantum State Tomography by Cover's Method with Non-Asymptotic Analysis
CM Lin, HC Cheng, YH Li
arXiv preprint arXiv:2110.00747, 2021
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