Linkai Luo

Orcid: 0000-0001-7059-9096

According to our database1, Linkai Luo authored at least 47 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Automatic Sparse Connectivity Learning for Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution.
Neurocomputing, October, 2023

Compressing convolutional neural networks with cheap convolutions and online distillation.
Displays, July, 2023

SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture.
CoRR, 2023

MaxMin-L2-SVC-NCH: A Novel Approach for Support Vector Classifier Training and Parameter Selection.
CoRR, 2023

Constraints-Aware Training (CAT) to Enable Software-Hardware Co-design for Memristor-based Analog Neuromorphic Chip.
Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

2022
Bridging the Semantic Gap Between Customer Needs and Design Specifications Using User-Generated Content.
IEEE Trans. Engineering Management, 2022

A Novel Focal Ordinal Loss for Assessment of Knee Osteoarthritis Severity.
Neural Process. Lett., 2022

A method of multi-models fusion for speaker recognition.
Int. J. Speech Technol., 2022

COVID-19 personal health mention detection from tweets using dual convolutional neural network.
Expert Syst. Appl., 2022

A new framework for graph neural network with local information diffusion.
Appl. Intell., 2022

Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model.
IEEE Access, 2022

2020
An unsupervised keyphrase extraction model by incorporating structural and semantic information.
Prog. Artif. Intell., 2020

A three-stage method for batch-based incremental nonnegative matrix factorization.
Neurocomputing, 2020

A Recommendation for Flight Extra Fuel Based on Random Forest.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

2019
Training convolutional neural networks with cheap convolutions and online distillation.
CoRR, 2019

EmotionX-HSU: Adopting Pre-trained BERT for Emotion Classification.
CoRR, 2019

Image Super-Resolution via Simplified Dense Network With Non-Degenerate Layers.
IEEE Access, 2019

A Method of Speaker Recognition for Small-scale Speakers Based on One-versus-rest and Neural Network.
Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018
An alternate method between generative objective and discriminative objective in training classification Restricted Boltzmann Machine.
Knowl. Based Syst., 2018

A joint residual network with paired ReLUs activation for image super-resolution.
Neurocomputing, 2018

EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogue.
CoRR, 2018

Neural Machine Translation for Financial Listing Documents.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Compression artifact removal using multi-scale reshuffling convolutional network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

EmotionX-DLC: Self-Attentive BiLSTM for Detecting Sequential Emotions in Dialogues.
Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018

2017
Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction.
Appl. Soft Comput., 2017


2016
A New Approach of Matrix Factorization and Its Application in Recommender Systems.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Finding the clusters with potential value in financial time series based on agglomerative hierarchical clustering.
Proceedings of the 11th International Conference on Computer Science & Education, 2016

Training restricted Boltzmann Machine with dynamic learning rate.
Proceedings of the 11th International Conference on Computer Science & Education, 2016

2015
Iterative improvement of parameter estimation for model migration by means of sequential experiments.
Comput. Chem. Eng., 2015

Structural damage detection based on posteriori probability support vector machine and Dempster-Shafer evidence theory.
Appl. Soft Comput., 2015

A Support Vector Classification Model with Partial Empirical Risks Given.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Stable feature selection with ensembles of multi-reliefF.
Proceedings of the 10th International Conference on Natural Computation, 2014

2013
Using the Maximum Between-Class Variance for Automatic Gridding of cDNA Microarray Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

A new pruning method for decision tree based on structural risk of leaf node.
Neural Comput. Appl., 2013

Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction.
Appl. Soft Comput., 2013

2012
Margin optimization based pruning for random forest.
Neurocomputing, 2012

Background Subtraction Method Based on Block-Wise Mixture Models.
Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011
Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Methods of forward feature selection based on the aggregation of classifiers generated by single attribute.
Comput. Biol. Medicine, 2011

2010
Gene Selection Using Random Forest and Proximity Differences Criterion on DNA Microarray Data.
J. Convergence Inf. Technol., 2010

A New Parameter Selection Method for Support Vector Machine Based on the Decision Value.
J. Convergence Inf. Technol., 2010

2009
Noise Estimation and Reduction in Microarray Images.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
Polynomial Radial Base Function: A New Local Similarity Measure.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2006
A Strategy of Maximizing the Sum of Weighted Margins for Ranking Multi Classification Problem.
Proceedings of the Ninth International Conference on Control, 2006

A Study on Piecewise Polynomial Smooth Approximation to the Plus Function.
Proceedings of the Ninth International Conference on Control, 2006


  Loading...