Meixia Lin - RankMe

24 papers A* 1A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hybrid Cross-Device Localization via Neural Metric Learning and Feature Fusion. CoRR Meixia Lin, Mingkai Liu, Shuxue Peng, Dikai Fan, Shengyu Gu, Xianliang Huang, Haoyang Ye, Xiao Liu
2026	J	`jnl`	Wasserstein Distributionally Robust Optimization and Its Tractable Regularization Formulation. J. Optim. Theory Appl. Hong T. M. Chu, Meixia Lin, Kim-Chuan Toh
2025	J	`jnl`	Adaptive sieving: a dimension reduction technique for sparse optimization problems. Math. Program. Comput. Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh
2025	J	`jnl`	Efficient Group Lasso Regularized Rank Regression with Data-Driven Parameter Determination. CoRR Meixia Lin, Meijiao Shi, Yunhai Xiao, Qian Zhang
2025	J	`jnl`	Learning the Hub Graphical Lasso Model with the Structured Sparsity via an Efficient Algorithm. J. Sci. Comput. Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin
2025	J	`jnl`	MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering. CoRR Mingkai Liu, Dikai Fan, Haohua Que, Haojia Gao, Xiao Liu, Shuxue Peng, Meixia Lin, Shengyu Gu, Ruicong Ye, Wanli Qiu, Handong Yao, Ruopeng Zhang, Xianliang Huang
2024	J	`jnl`	A Positive and Moment-Preserving Fourier Spectral Method. SIAM J. Numer. Anal. Zhenning Cai, Bo Lin, Meixia Lin
2024	J	`jnl`	A highly efficient algorithm for solving exclusive lasso problems. Optim. Methods Softw. Meixia Lin, Yancheng Yuan, Defeng Sun, Kim-Chuan Toh
2024	A	`conf`	DNNLasso: Scalable Graph Learning for Matrix-Variate Data. AISTATS Meixia Lin, Yangjing Zhang
2024	J	`jnl`	DNNLasso: Scalable Graph Learning for Matrix-Variate Data. CoRR Meixia Lin, Yangjing Zhang
2024	J	`jnl`	Estimation of Sparse Gaussian Graphical Models with Hidden Clustering Structure. J. Mach. Learn. Res. Meixia Lin, Defeng Sun, Kim-Chuan Toh, Chengjing Wang
2023	J	`jnl`	A positive and moment-preserving Fourier spectral method. CoRR Zhenning Cai, Bo Lin, Meixia Lin
2023	J	`jnl`	Learning the hub graphical Lasso model with the structured sparsity via an efficient algorithm. CoRR Chengjing Wang, Peipei Tang, Wenling He, Meixia Lin
2022	J	`jnl`	An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems. Math. Program. Comput. Meixia Lin, Defeng Sun, Kim-Chuan Toh
2022	J	`jnl`	Long-Term Spatiotemporal Characteristics and Impact Factors of Land Surface Temperature of Inhabited Islands with Different Urbanization Levels. Remote. Sens. Junmao Zhang, Tao Lin, Caige Sun, Meixia Lin, Yulin Zhan, Yuan Chen, Hong Ye, Xia Yao, Yiyi Huang, Guoqin Zhang, Yuqin Liu
2022	J	`jnl`	Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets. IEEE Trans. Signal Process. Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun
2021	A*	`conf`	Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. NeurIPS Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin
2021	J	`jnl`	Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. CoRR Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin
2021	J	`jnl`	Estimation and inference of signals via the stochastic geometry of spectrogram level sets. CoRR Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun
2021	J	`jnl`	Quantitatively Assessing Ecological Stress of Urbanization on Natural Ecosystems by Using a Landscape-Adjacency Index. Remote. Sens. Meixia Lin, Tao Lin, Laurence Jones, Xiaofang Liu, Li Xing, Jinling Sui, Junmao Zhang, Hong Ye, Yuqin Liu, Guoqin Zhang, Xin Lu
2021	—	`conf`	Research on the development trend of vehicle operating system in China. CONF-CDS Pengfei Liu, Lishuang Dong, Xuebin Shao, Meixia Lin, Yangyang Gu, Xintian Hou
2019	J	`jnl`	Analysis of Occlusive Endobronchial Stent for Prohibiting Life-Threatening Hemorrhage. J. Medical Imaging Health Informatics Yunfeng Chen, Hui-Huang Lin, Linlin Huang, Zhi-Yun Lai, You-Zhi Hong, Meixia Lin, Yi-Ming Zeng
2019	J	`jnl`	Efficient Sparse Semismooth Newton Methods for the Clustered Lasso Problem. SIAM J. Optim. Meixia Lin, Yong-Jin Liu, Defeng Sun, Kim-Chuan Toh
2019	J	`jnl`	On the Closed-form Proximal Mapping and Efficient Algorithms for Exclusive Lasso Models. CoRR Yancheng Yuan, Meixia Lin, Defeng Sun, Kim-Chuan Toh