Computing Augustin Information via Hybrid Geodesically Convex Optimization, ISIT 2024.
    G.-R. Wang, C.-E. Tsai, H.-C. Cheng, and Y.-H. Li

Online Learning Quantum States with the Logarithmic Loss via VB-FTRL, QIP 2024 (poster).
    W.-F. Tseng, K.-C. Chen, Z.-H. Xiao, and Y.-H. Li

Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging, AISTATS 2024.
    C.-E. Tsai, H.-C. Cheng, and Y.-H. Li

Data-dependent bounds for online portfolio selection without Lipschitzness and smoothness, NeurIPS 2023.
    C.-E. Tsai, Y.-T. Lin, and Y.-H. Li

Faster stochastic first-order method for maximum-likelihood quantum state tomography, QIP 2023 (poster).
    C.-E. Tsai, H.-C. Cheng, and Y.-H. Li

Two Polyak-type step sizes for mirror descent, arXiv, 2022. 
    J.-K. You and Y.-H. Li

Online self-concordant and relatively smooth minimization, with applications to online portfolio selection and learning quantum states, ALT 2023.
    C.-E. Tsai, H.-C. Cheng, and Y.-H. Li

Minimizing quantum Renyi divergences via mirror descent with Polyak step size,  BIID'9,  2021 (lighting talk presentation); ISIT 2022. 
    J.-K. You, H.-C. Cheng, and Y.-H. Li

Maximum-likelihood quantum state tomography by Cover's method with non-asymptotic analysis, QIP 2022 (poster).
    C.-M. Lin, H.-C. Cheng, and Y.-H. Li

An online algorithm for maximum-likelihood quantum state tomography. QIP 2021 (poster).
    C.-M. Lin, Y.-M. Hsu, and Y.-H. Li

Online positron emission tomography by online portfolio selection. ICASSP 2020.
    Y.-H. Li

Convergence of the exponentiated gradient method with Armijo line search, J. Optim. Theory Appl., 2019.
    Y.-H. Li and V. Cevher

Learning without Smoothness and Strong Convexity. PhD Thesis. 2018.
    Y.-H. Li 

A general convergence result for mirror descent with Armijo line search, arXiv, 2018.
    Y.-H. Li, C. A. Riofrio, and Volkan Cevher

Learning-based compressive MRI, IEEE Trans. Med. Imaging. 2018.
    B. Gozcu, R. K. Mahabadi, Y.-H. Li, E. Ilicak, T. Cukur, J. Scarlett, and V. Cevher

Estimation error of the constrained lasso, Allerton 2016.
    N. Zerbib, Y.-H. Li, Y.-P. Hsieh, and V. Cevher
    [preprint, slides]

Learning-based compressive subsampling, IEEE J. Sel. Top. Signal Process., 2016.
    L. Baldassarre, Y.-H. Li, J. Scarlett, B. Gözcü, I. Bogunovic, and V. Cevher
    [arXiv preprint]

Learning data triage: Linear decoding works for compressive MRI, ICASSP 2016.
    Y.-H. Li and V. Cevher
    [arXiv preprint, slides]

Frank-Wolfe works for non-Lipschitz continuous gradient objectives: Scalable Poisson phase retrieval, ICASSP 2016.
    G. Odor, Y.-H. Li, A. Yurtsever, Y.-P. Hsieh, Q. Tran-Dinh, M. El Halabi, and V. Cevher
    [arXiv preprint with complete proofs]

A geometric view on constrained M-estimators, arXiv, 2015.
    Y.-H. Li, Y.-P. Hsieh, N. Zerbib, and V. Cevher

Composite minimization involving self-concordant-like cost functions, MCO 2015.
    Q. Tran-Dinh, Y.-H. Li, and V. Cevher
    [slides for ISMP 2016]

Sparsistency of \ell_1-regularized M-estimators, AISTATS 2015 (oral, top 6%).
    Y.-H. Li, J. Scarlett, P. Ravikumar, and V. Cevher

Consistency of \ell_1-regularized maximum likelihood for compressive Poisson regression, ICASSP 2015.
    Y.-H. Li and V. Cevher

Barrier smoothing for nonsmooth convex minimization, ICASSP 2014.
    Q. Tran-Dinh, Y.-H. Li, and V. Cevher

An interpretation of the Moore-Penrose generalized inverse of a singular Fisher information matrix, IEEE Trans. Signal Process., 2012.
    Y.-H. Li and P.-C. Yeh

Adaptive precoder selection for multicast broadcast services in MIMO-OFDMA systems, VTC-Spring 2010.
    H.-C. Hu, Y.-H. Li, and P.-C. Yeh

MIMO-OFDM PHY integrated (MOPI) scheme for confidential wireless transmission, WCNC 2010.
    J.-P. Cheng, Y.-H. Li, P.-C. Yeh, and C.-M. Cheng

Performance analysis for type-II hybrid ARQ systems, GLOBECOM 2008.
    Y.-H. Kao, Y.-H. Li, W.-A. Lin, H.-C. Hu, and P.-C. Yeh