Shenglong Zhou and Geoffrey Ye Li, Federated learning via inexact ADMM, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 9699-9708, 2023. RG, ArXiv, Code

Shenglong Zhou, Sparse SVM for sufficient data reduction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 5560-5571, 2022. RG, ArXiv, Code

Shenglong Zhou, Gradient projection newton pursuit for sparsity constrained optimization, Applied and Computational Harmonic Analysis, 61, 75-100, 2022. RG, ArXiv, Code

Shenglong Zhou, Ziyan Luo, Naihua Xiu and Geoffrey Ye Li, Computing one-bit compressive sensing via double-sparsity constrained optimization, IEEE Transactions on Signal Processing, 70, 1593-1608, 2022. RG, ArXiv, Code

Shenglong Zhou, Lili Pan, Naihua Xiu and Huoduo Qi, Quadratic convergence of smoothing Newton's method for 0/1 loss optimization, SIAM Journal on Optimization, 31, 3184–3211, 2021. RG, ArXiv, Code

Shenglong Zhou, Naihua Xiu and Huoduo Qi, Global and quadratic convergence of Newton hard-thresholding pursuit, Journal of Machine Learning Research, 22, 1−45, 2021. RG, ArXiv, Code

Shenglong Zhou, Naihua Xiu and Huoduo Qi, Robust euclidean embedding via EDM optimization, Mathematical Programming Computation, 12, 337–387, 2019. Code

Shenglong Zhou, Naihua Xiu and Huoduo Qi, A fast matrix majorization-projection method for penalized stress minimization with box constraints, IEEE Transactions on Signal Processing, 66, 4331-4346, 2018. Code

Full list of publications can be found here