Meixia Lin

According to our database, Meixia Lin authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive sieving: a dimension reduction technique for sparse optimization problems.

Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh

Math. Program. Comput., September, 2025

Learning the Hub Graphical Lasso Model with the Structured Sparsity via an Efficient Algorithm.

Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin

J. Sci. Comput., June, 2025

2024

A Positive and Moment-Preserving Fourier Spectral Method.

Zhenning Cai, Bo Lin, Meixia Lin

SIAM J. Numer. Anal., February, 2024

A highly efficient algorithm for solving exclusive lasso problems.

Meixia Lin, Yancheng Yuan, Defeng Sun, Kim-Chuan Toh

Optim. Methods Softw., 2024

DNNLasso: Scalable Graph Learning for Matrix-Variate Data.

Meixia Lin, Yangjing Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets.

Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun

IEEE Trans. Signal Process., 2022

Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels.

Junmao Zhang, Tao Lin, Caige Sun, Meixia Lin, Yulin Zhan, Yuan Chen, Hong Ye, Xia Yao, Yiyi Huang, Guoqin Zhang, Yuqin Liu

Remote. Sens., 2022

An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems.

Meixia Lin, Defeng Sun, Kim-Chuan Toh

Math. Program. Comput., 2022

2021

Quantitatively Assessing Ecological Stress of Urbanization on Natural Ecosystems by Using a Landscape-Adjacency Index.

Meixia Lin, Tao Lin, Laurence Jones, Xiaofang Liu, Li Xing, Jinling Sui, Junmao Zhang, Hong Ye, Yuqin Liu, Guoqin Zhang, Xin Lu

Remote. Sens., 2021

Estimation and inference of signals via the stochastic geometry of spectrogram level sets.

Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun

CoRR, 2021

Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD.

Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Research on the development trend of vehicle operating system in China.

Pengfei Liu, Lishuang Dong, Xuebin Shao, Meixia Lin, Yangyang Gu, Xintian Hou

Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2019

Efficient Sparse Semismooth Newton Methods for the Clustered Lasso Problem.

Meixia Lin, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh

SIAM J. Optim., 2019

Analysis of Occlusive Endobronchial Stent for Prohibiting Life-Threatening Hemorrhage.

Yunfeng Chen, Hui-Huang Lin, Linlin Huang, Zhi-Yun Lai, You-Zhi Hong, Meixia Lin, Yi-Ming Zeng

J. Medical Imaging Health Informatics, 2019

On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models.

Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh

CoRR, 2019