Xin Dang

According to our database, Xin Dang authored at least 34 papers between 2007 and 2024.

Collaborative distances:

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

2024

Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation.

Yongli Sang, Xin Dang

J. Multivar. Anal., 2024

QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism.

Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun

Big Data Min. Anal., 2024

2023

Multivariate time series data imputation using attention-based mechanism.

Jingqi Zhao, Chuitian Rong, Chunbin Lin, Xin Dang

Neurocomputing, July, 2023

2021

Estimating Feature-Label Dependence Using Gini Distance Statistics.

Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Short-term multiple power type prediction based on deep learning.

Ran Wei, Qirui Gan, Huiquan Wang, Yue You, Xin Dang

Int. J. Syst. Assur. Eng. Manag., 2020

An application performance optimization model of mobile augmented reality based on hd restoration.

Xin Dang, Hai Wang, Jie Ren, Le Chen

Proceedings of the Eighth International Conference on Advanced Cloud and Big Data, 2020

2019

Heart Sound Analysis Based on Extended Features and Related Factors.

Jian Fei Chen, Xin Dang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Predicting Electricity Usage Based on Deep Neural Network^*.

Ran Wei, Jinhai Wang, Qirui Gan, Xin Dang, Huiquan Wang

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

Improving Performance of Convolutional Neural Networks via Feature Embedding.

Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen

Proceedings of the 2019 ACM Southeast Conference, 2019

2018

Robust and Efficient Boosting Method Using the Conditional Risk.

Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang

IEEE Trans. Neural Networks Learn. Syst., 2018

Pareto cascade modeling of diffusion networks.

Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An Online Power System Dynamics Prediction Based on Deep Neural Network.

Bin Zhang, Jian Han, Yanlin Ren, Huimin Wen, Ziye Song, Qirui Gan, Ran Wei, Xin Dang, Bin Zhou

Proceedings of the International Conference on Electronics and Electrical Engineering Technology, 2018

Recognition Influence of Different Acousitc Characters between Male and Female Speakers.

Liying Zhao, Qiuyan Wang, Xin Dang

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Integration of Cancer Data through Multiple Mixed Graphical Model.

Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

An efficient movement and mental classification for children with autism based on motion and EEG features.

Xin Dang, Ran Wei, Guohui Li

J. Ambient Intell. Humaniz. Comput., 2017

Label confidence based AdaBoost algorithm.

Zhe Luo, Xin Dang, Yixin Chen

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

An image reconstruction framework based on deep neural network for electrical impedance tomography.

Xiuyan Li, Yang Lu, Jianming Wang, Xin Dang, Qi Wang, Xiaojie Duan, Yukuan Sun

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A robust speech watermarking based on Quantization Index Modulation and Double Discrete Cosine Transform.

Shengbei Wang, Xu-Yang Liu, Xin Dang, Jianming Wang

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2015

Robust Model-Based Learning via Spatial-EM Algorithm.

Kai Yu, Xin Dang, Henry L. Bart Jr., Yixin Chen

IEEE Trans. Knowl. Data Eng., 2015

A generative Bayesian model to identify cancer driver genes.

Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Financial ratio selection for business failure prediction using soft set theory.

Wei Xu, Zhi Xiao, Xin Dang, Daoli Yang, Xianglei Yang

Knowl. Based Syst., 2014

Noise Power Spectral Density Estimation Using the Generalized Gamma Probability Density Function and Minimum Mean Square Error.

Xin Dang, Takayoshi Nakai

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

Learning accurate and interpretable models based on regularized random forests regression.

Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins

BMC Syst. Biol., 2014

2013

Rule based regression and feature selection for biological data.

Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Multiclass classification with potential function rules: Margin distribution and generalization.

Fei Teng, Yixin Chen, Xin Dang

Pattern Recognit., 2012

The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory.

Zhi Xiao, Xianglei Yang, Ying Pang, Xin Dang

Knowl. Based Syst., 2012

2011

Leveraging domain information to restructure biological prediction.

Xiaofei Nan, Gang Fu, Zhengdong Zhao, Sheng Liu, Ronak Y. Patel, Haining Liu, Pankaj R. Daga, Robert J. Doerksen, Xin Dang, Yixin Chen, Dawn Wilkins

BMC Bioinform., 2011

Noise reduction using modified phase spectra and Wiener Filter.

Xin Dang, Takayoshi Nakai

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010

Projection based scatter depth functions and associated scatter estimators.

Weihua Zhou, Xin Dang

J. Multivar. Anal., 2010

Learning to rank using 1-norm regularization and convex hull reduction.

Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins

Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009

Outlier Detection with the Kernelized Spatial Depth Function.

Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr.

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Graph ranking for exploratory gene data analysis.

Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins

BMC Bioinform., 2009

2007

Robust clustering in high dimensional data using statistical depths.

Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilkins

BMC Bioinform., 2007

Depth-Based Novelty Detection and Its Application to Taxonomic Research.

Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007