Yaohua Hu

发表

Abstract convergence theorem for quasi-convex optimization problems with applications

Xiaoqi Yang, Siu Kai Choy, Carisa Kwok Wai Yu, 2019 .

A Subgradient Method Based on Gradient Sampling for Solving Convex Optimization Problems

Xiaoqi Yang, Yaohua Hu, C. Sim, 2015 .

Inferring gene regulatory networks by integrating ChIP-seq/chip and transcriptome data via LASSO-type regularization methods.

Junwen Wang, J. Qin, Yaohua Hu, 2014, Methods.

SUBGRADIENT METHODS FOR QUASI-CONVEX OPTIMIZATION PROBLEMS

Xiaoqi Yang, Yaohua Hu, C. Sim, 2014 .

Convergence of the Newton-type methods for the square inverse singular value problems with multiple and zero singular values

Jen-Chih Yao, Chong Li, WeiPing Shen, 2019, Applied Numerical Mathematics.

Integration of single-cell multi-omics for gene regulatory network inference

J. Qin, Yaohua Hu, R. Leung, 2020, Computational and structural biotechnology journal.

Iterative positive thresholding algorithm for non-negative sparse optimization

C. Yu, Yaohua Hu, Jinhua Wang, 2018 .

CrusTF: a comprehensive resource of transcriptomes for evolutionary and functional studies of crustacean transcription factors

K. Chu, Yaohua Hu, Xiaosen Jiang, 2017, BMC Genomics.

Sparse estimation via lower-order penalty optimization methods in high-dimensional linear regression

Xiaoqi Yang, Yaohua Hu, Chong Li, 2022, Journal of Global Optimization.

Modified inexact Levenberg–Marquardt methods for solving nonlinear least squares problems

C. Yu, Yaohua Hu, Jinhua Wang, 2019, Computational Optimization and Applications.

A box-constrained differentiable penalty method for nonlinear complementarity problems

Yaohua Hu, Boshi Tian, Xiaoqi Yang, 2015, Journal of Global Optimization.

Applications of integrative OMICs approaches to gene regulation studies

Jing Qin, Panwen Wang, Bin Yan, 2016, Quantitative Biology.

Cell fate conversion prediction by group sparse optimization method utilizing single-cell and bulk OMICs data.

J. Qin, Yaohua Hu, R. Leung, 2021, Briefings in bioinformatics.

O C ] 2 8 Ja n 20 16 Group sparse optimization via l p , q regularization

Xiaoqi Yang, Chong Li, Yaohua Hu, 2021 .

Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems

Chong Li, Xiaoqi Yang, Yaohua Hu, 2017, Journal of Global Optimization.

Sparse estimation via 𝓁q optimization method in high-dimensional linear regression pdf

Xin Li, Chong Li, Yaohua Hu, 2019, ArXiv.

A new linear convergence result for the iterative soft thresholding algorithm

Chong Li, Lufang Zhang, Jen-Chih Yao, 2017 .

Linear convergence of CQ algorithms and applications in gene regulatory network inference

Chong Li, Jen-Chih Yao, Yaohua Hu, 2017 .

Group Sparse Optimization via lp, q Regularization

Chong Li, Xiaoqi Yang, Yaohua Hu, 2016, J. Mach. Learn. Res..

CrusTF: a comprehensive resource of transcriptomes for evolutionary and functional studies of crustacean transcription factors

K. Chu, Yaohua Hu, Xiaosen Jiang, 2017, BMC Genomics.

General Iterative Approach for System-Level Joint Optimization of Pavement Maintenance, Rehabilitation, and Reconstruction Planning

Le Zhang, Weihua Gu, Yaohua Hu, 2017 .

Interior quasi-subgradient method with non-Euclidean distances for constrained quasi-convex optimization problems in hilbert spaces

Xiaoqi Yang, R. Burachik, Yaohua Hu, 2021, Journal of Global Optimization.

Convergence rates of subgradient methods for quasi-convex optimization problems

Carisa Kwok Wai Yu, Yaohua Hu, Jiawen Li, 2019, Computational Optimization and Applications.

Incremental quasi-subgradient methods for minimizing the sum of quasi-convex functions

Xiaoqi Yang, Carisa Kwok Wai Yu, Yaohua Hu, 2017, Journal of Global Optimization.

Inexact subgradient methods for quasi-convex optimization problems

Xiaoqi Yang, Yaohua Hu, Chee-Khian Sim, 2015, Eur. J. Oper. Res..

Extended Newton Methods for Multiobjective Optimization: Majorizing Function Technique and Convergence Analysis

Carisa Kwok Wai Yu, Jinhua Wang, Yaohua Hu, 2019, SIAM J. Optim..

Modified inexact Levenberg–Marquardt methods for solving nonlinear least squares problems

Jen-Chih Yao, Jifeng Bao, Carisa Kwok Wai Yu, 2019, Computational Optimization and Applications.

Stochastic quasi-subgradient method for stochastic quasi-convex feasibility problems

Yaohua Hu, Gang Li, Minghu Li, 2021, Discrete & Continuous Dynamical Systems - S.

Power penalty method for solving HJB equations arising from finance

Kai Zhang, Yaohua Hu, Xiaoqi Yang, 2020, Autom..

Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods pdf

Qiong Wu, Hao Wang, Yuanming Shi, 2018, Journal of Global Optimization.

A Subgradient Method Based on Gradient Sampling for Solving Convex Optimization Problems

Yaohua Hu, C. Sim, Xiaoqi Yang, 2015 .

A two-stage heuristic approach for fleet management optimization under time-varying demand

Weihua Gu, Yaohua Hu, Yu Mei, 2021 .

On Convergence Rates of Linearized Proximal Algorithms for Convex Composite Optimization with Applications

Chong Li, Xiaoqi Yang, Yaohua Hu, 2016, SIAM J. Optim..

A box-constrained differentiable penalty method for nonlinear complementarity problems

Xiaoqi Yang, Yaohua Hu, Boshi Tian, 2015, J. Glob. Optim..

Linearized Proximal Algorithms with Adaptive Stepsizes for Convex Composite Optimization with Applications

Xiaoqi Yang, Yaohua Hu, Lingling Zhu, 2023, Applied Mathematics & Optimization.

A Family of Projection Gradient Methods for Solving the Multiple-Sets Split Feasibility Problem

Xiaojun Zhuang, Yaohua Hu, Carisa Kwok Wai Yu, 2019, Journal of Optimization Theory and Applications.