Tianxiang Liu

发表

A refined convergence analysis of pDCA$_e$ with applications to simultaneous sparse recovery and outlier detection

Akiko Takeda, Ting Kei Pong, Akiko Takeda, 2018 .

A Return Direction Forecasting Modle Based on Time-Varying Probablity Density Function

Jian He, Tianxiang Liu, 2013 .

Convergence analysis under consistent error bounds

Bruno F. Lourencco, Tianxiang Liu, 2020, 2008.12968.

Forecasting Stock Market Movement Direction Using Sentiment Analysis and Support Vector Machine

Desheng Dash Wu, Rui Ren, Tianxiang Liu, 2019, IEEE Systems Journal.

Direct and Configurational Paths of Capital Signals to Technology Crowdfunding Fundraising

Zhiying Liu, Xiuyuan Gong, Tianxiang Liu, 2021, IEEE Transactions on Engineering Management.

Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints

Ting Kei Pong, Tianxiang Liu, Akiko Takeda, 2022, 2207.00396.

An approach on a new variable amplitude waveform sensor

H. Su, Hu Xiaofei, Meng Yang, 2017 .

A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems

Ting Kei Pong, Tianxiang Liu, A. Takeda, 2018, Mathematical Programming.

Chaotic Characteristics Analysis on Aerostat RCS via Phase Space Reconstruction and Largest Lyapunov Exponent

Tianxiang Liu, Huimin Xue, Kunkun Li, 2022, 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ).

Peaceman–Rachford splitting for a class of nonconvex optimization problems

Ting Kei Pong, Guoyin Li, Tianxiang Liu, 2017, Computational Optimization and Applications.

Curve-Fitting Method for Implied Volatility

D. Wu, Tianxiang Liu, 2018, The Journal of Derivatives.

Long-Term Event Study on Earnings Surprises and Practical Portfolio Construction

Tianxiang Liu, 2018 .

A refined convergence analysis of pDCAe\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox {pDCA}_{e}$$\end{document

Akiko Takeda, Ting Kei Pong, Tianxiang Liu, 2018, Computational Optimization and Applications.

A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction.

Tianxiang Liu, Hanbing Luo, Wenli Liu, 2023, Environmental research.

Further properties of the forward–backward envelope with applications to difference-of-convex programming

Ting Kei Pong, Tianxiang Liu, Tianxiang Liu, 2016, Comput. Optim. Appl..

A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems

Akiko Takeda, Ting Kei Pong, Tianxiang Liu, 2017, Mathematical Programming.

Further properties of the forward–backward envelope with applications to difference-of-convex programming

Ting Kei Pong, Tianxiang Liu, 2017, Computational Optimization and Applications.

A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints

Ting Kei Pong, Ivan Markovsky, Akiko Takeda, 2019, SIAM J. Matrix Anal. Appl..

Ensemble water quality forecasting based on decomposition, sub-model selection, and adaptive interval.

Tianxiang Liu, Wen Liu, Wenli Liu, 2023, Environmental research.

Data-Driven Structured Noise Filtering via Common Dynamics Estimation

Akiko Takeda, Ivan Markovsky, Tianxiang Liu, 2020, IEEE Transactions on Signal Processing.

Convergence Analysis under Consistent Error Bounds

Tianxiang Liu, Bruno F. Lourenço, 2020, Found. Comput. Math..