Lu Lin

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Renewable composite quantile method and algorithm for nonparametric models with streaming data.
Stat. Comput., February, 2024

On the construction of locally most reliable two-terminal graphs.
Discret. Appl. Math., 2024

Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentation.
CoRR, 2024

Adversarially Robust Industrial Anomaly Detection Through Diffusion Model.
CoRR, 2024

SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
On triangle inequalities of correlation-based distances for gene expression profiles.
BMC Bioinform., December, 2023

Monitoring routing status of UAV networks with NB-IoT.
J. Supercomput., November, 2023

Changes of Functional Brain Network in Neonates with Different Degrees of Hypoxic-Ischemic Encephalopathy.
Brain Connect., September, 2023

scAnno: a deconvolution strategy-based automatic cell type annotation tool for single-cell RNA-sequencing data sets.
Briefings Bioinform., May, 2023

In-Process Global Interpretation for Graph Learning via Distribution Matching.
CoRR, 2023

An Improved YOLOv7 Model for Obstacle Recognition in Autonomous Driving.
Proceedings of the 5th International Conference on Robotics, 2023

Placement of UAVs to Reconnect Lost Subnetworks in Wireless Sensor Networks.
Proceedings of the IFIP Networking Conference, 2023

A Survey on Cross-Chain Asset Transfer Schemes: Classification, Challenges, and Prospects.
Proceedings of the International Conference on Networking and Network Applications, 2023

Dual-Domain Learning for JPEG Artifacts Removal.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

EduAction: A College Student Action Dataset for Classroom Attention Estimation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Pan-Sharpening with Global Multi-scale Context Network.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Correction: On triangle inequalities of correlation-based distances for gene expression profiles.
BMC Bioinform., March, 2022

A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows.
J. Comput. Phys., 2022

A Correlation-Ratio Transfer Learning and Variational Stein's Paradox.
CoRR, 2022

Transformer Network with Self-Supervised Learning for Stenosis Detection in CT Angiography.
Proceedings of the 6th International Conference on Advances in Image Processing, 2022

Smart Helmet Design Based on KANO Model.
Proceedings of the Design Studies and Intelligence Engineering, 2022

2021
Robust variable selection with exponential squared loss for the spatial autoregressive model.
Comput. Stat. Data Anal., 2021

Partition-based feature screening for categorical data via RKHS embeddings.
Comput. Stat. Data Anal., 2021

Graph Structural Attack by Spectral Distance.
CoRR, 2021

Characteristics and Model of Vehicle Flow Fluctuation Based on Molecular Dynamics.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

Research on Design Evaluation Method of Walking Stick Based on Continuity Theory.
Proceedings of the Design Studies and Intelligence Engineering, 2021

Study on the Applicability of Tyvek in Electric Bicycle Riding Protective.
Proceedings of the Design Studies and Intelligence Engineering, 2021

2020
Digging into the multi-scale structure for a more refined depth map and 3D reconstruction.
Neural Comput. Appl., 2020

Generalized ℓ1-penalized quantile regression with linear constraints.
Comput. Stat. Data Anal., 2020

The Research of Cognitive Rehabilitation Training System for ADHD Children.
Proceedings of the IC4E 2020: The 11th International Conference on E-Education, 2020

2019
Line-preserving video stitching for asymmetric cameras.
Multim. Tools Appl., 2019

Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression.
J. Mach. Learn. Res., 2019

Modelling and attitude control of novel multi-ducted-fan aerial vehicle in forward flight.
Int. J. Model. Identif. Control., 2019

Modal regression statistical inference for longitudinal data semivarying coefficient models: Generalized estimating equations, empirical likelihood and variable selection.
Comput. Stat. Data Anal., 2019

Estimation for biased partial linear single index models.
Comput. Stat. Data Anal., 2019

Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data.
Comput. Stat. Data Anal., 2019

NCycDB: a curated integrative database for fast and accurate metagenomic profiling of nitrogen cycling genes.
Bioinform., 2019

Some remarks on Jacobi and Gauss-Seidel-type iteration methods for the matrix equation AXB=C.
Appl. Math. Comput., 2019

Feature Aligned Recurrent Network for Causal Video Object Detection.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
A marginalized two-part Beta regression model for microbiome compositional data.
PLoS Comput. Biol., 2018

Feature screening for multi-response varying coefficient models with ultrahigh dimensional predictors.
Comput. Stat. Data Anal., 2018

2017
Handling estimating equation with nonignorably missing data based on SIR algorithm.
J. Comput. Appl. Math., 2017

Optimal variance estimation based on lagged second-order difference in nonparametric regression.
Comput. Stat., 2017

Dynamic probabilistic shaping modulation based on fixed-to-fixed symbols projection constant composition distribution matching.
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017

2016
Inference for biased models: A quasi-instrumental variable approach.
J. Multivar. Anal., 2016

Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model.
J. Comput. Appl. Math., 2016

Covariance matrix and transfer function of dynamic generalized linear models.
J. Comput. Appl. Math., 2016

Parallel Bootstrap and Optimal Subsample Lengths in Smooth Function Models.
Commun. Stat. Simul. Comput., 2016

Adaptive conditional feature screening.
Comput. Stat. Data Anal., 2016

Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model.
Commun. Nonlinear Sci. Numer. Simul., 2016

2015
Heteroscedasticity checks for single index models.
J. Multivar. Anal., 2015

Derivative estimation based on difference sequence via locally weighted least squares regression.
J. Mach. Learn. Res., 2015

The dual and degrees of freedom of linearly constrained generalized lasso.
Comput. Stat. Data Anal., 2015

2014
Local linear-additive estimation for multiple nonparametric regressions.
J. Multivar. Anal., 2014

2013
Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model.
J. Appl. Math., 2013

Nonparametric feature screening.
Comput. Stat. Data Anal., 2013

2012
Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters.
J. Multivar. Anal., 2012

2011
Simulation-based two-stage estimation for multiple nonparametric regression.
Comput. Stat. Data Anal., 2011

An alternating projected gradient algorithm for nonnegative matrix factorization.
Appl. Math. Comput., 2011

2010
Bias-corrected empirical likelihood in a multi-link semiparametric model.
J. Multivar. Anal., 2010

Alternative gradient algorithms with applications to nonnegative matrix factorizations.
Appl. Math. Comput., 2010

2008
Optimal design for 2-DOF PID controller based on Maximum Entropy Estimation of Distribution Algorithm.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

2001
On the Square Root of an H-matrix with Positive Diagonal Elements.
Ann. Oper. Res., 2001

2000
Algebraic multilevel iterative preconditioning methods for h-matrices.
Int. J. Comput. Math., 2000

Nonstationary two-stage multisplitting methods for symmetric positive definite matrices.
Appl. Math. Lett., 2000

The two-stage iterative methods for symmetric positive definite matrices.
Appl. Math. Comput., 2000

1994
Adaptive signal processing in subbands using sigma-delta modulation technique.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994


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