Junxiang Chen

Orcid: 0000-0002-8897-754X

According to our database1, Junxiang Chen authored at least 30 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Improvement of motor imagery electroencephalogram decoding by iterative weighted Sparse-Group Lasso.
Expert Syst. Appl., March, 2024

DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images.
Medical Image Anal., February, 2024

Two-mobile anchor node-based localization in wireless sensor networks.
J. Ambient Intell. Humaniz. Comput., January, 2024

Manifold attention-enhanced multi-domain convolutional network for decoding motor imagery intention.
Knowl. Based Syst., 2024

EEG emotion recognition using EEG-SWTNS neural network through EEG spectral image.
Inf. Sci., 2024

Research on High-Precision Control of Hydraulic Excavator Based on Optimal Trajectory Planning.
IEEE Access, 2024

2023
Transforming Complex Problems Into K-Means Solutions.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Automatic Representative Frame Selection and Intrathoracic Lymph Node Diagnosis With Endobronchial Ultrasound Elastography Videos.
IEEE J. Biomed. Health Informatics, 2023

DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images.
CoRR, 2023

Text Readability of Smartphone in Dark Mode: Effects of Font Type, Font Weight and Color.
Proceedings of the Human Aspects of IT for the Aged Population, 2023

2022
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis.
IEEE J. Biomed. Health Informatics, 2022

Web table data integration based on smart campus scenarios to resolve name disambiguation of scientific research personnel.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Recognizing single-trial motor imagery EEG based on interpretable clustering method.
Biomed. Signal Process. Control., 2021

Extracting Disease-Relevant Features with Adversarial Regularization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN.
CoRR, 2020

Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach.
CoRR, 2020

Machine learning on Big Data from Twitter to understand public reactions to COVID-19.
CoRR, 2020

Explanation by Progressive Exaggeration.
Proceedings of the 8th International Conference on Learning Representations, 2020

Generative-Discriminative Complementary Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Weakly Supervised Disentanglement by Pairwise Similarities.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement.
CoRR, 2019

Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Crowdclustering with Partition Labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
IEEE Trans. Medical Imaging, 2017

Clustering with Domain-Specific Usefulness Scores.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Multiple Clustering Views from Multiple Uncertain Experts.
Proceedings of the 34th International Conference on Machine Learning, 2017

Clustering from Multiple Uncertain Experts.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
A Generative Block-Diagonal Model for Clustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Interpretable Clustering via Discriminative Rectangle Mixture Model.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015


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