Xin Dang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 19

Top Topics

Probability Density

Soft Set Theory

Multivariate Time Series

Adaboost Algorithm

Top Venues

ACM Southeast Regional Conference

Publications

Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun
QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism. Big Data Min. Anal. 7 (1) (2024)
Jingqi Zhao, Chuitian Rong, Chunbin Lin, Xin Dang
Multivariate time series data imputation using attention-based mechanism. Neurocomputing 542 (2023)
Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
Estimating Feature-Label Dependence Using Gini Distance Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Ran Wei, Qirui Gan, Huiquan Wang, Yue You, Xin Dang
Short-term multiple power type prediction based on deep learning. Int. J. Syst. Assur. Eng. Manag. 11 (4) (2020)
Xin Dang, Hai Wang, Jie Ren, Le Chen
An application performance optimization model of mobile augmented reality based on hd restoration. CBD (2020)
Jian Fei Chen, Xin Dang
Heart Sound Analysis Based on Extended Features and Related Factors. SSCI (2019)
Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen
Improving Performance of Convolutional Neural Networks via Feature Embedding. ACM Southeast Regional Conference (2019)
Ran Wei, Jinhai Wang, Qirui Gan, Xin Dang, Huiquan Wang
. CIVEMSA (2019)
Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
Estimating Feature-Label Dependence Using Gini Distance Statistics. CoRR (2019)
Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins
Pareto cascade modeling of diffusion networks. IJCNN (2018)
Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang
Robust and Efficient Boosting Method Using the Conditional Risk. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Bin Zhang, Jian Han, Yanlin Ren, Huimin Wen, Ziye Song, Qirui Gan, Ran Wei, Xin Dang, Bin Zhou
An Online Power System Dynamics Prediction Based on Deep Neural Network. EEET (2018)
Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins
Integration of Cancer Data through Multiple Mixed Graphical Model. BCB (2018)
Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang
Robust and Efficient Boosting Method using the Conditional Risk. CoRR (2018)
Liying Zhao, Qiuyan Wang, Xin Dang
Recognition Influence of Different Acousitc Characters between Male and Female Speakers. CSAI/ICIMT (2018)
Xiuyan Li, Yang Lu, Jianming Wang, Xin Dang, Qi Wang, Xiaojie Duan, Yukuan Sun
An image reconstruction framework based on deep neural network for electrical impedance tomography. ICIP (2017)
Shengbei Wang, Xu-Yang Liu, Xin Dang, Jianming Wang
A robust speech watermarking based on Quantization Index Modulation and Double Discrete Cosine Transform. CISP-BMEI (2017)
Zhe Luo, Xin Dang, Yixin Chen
Label confidence based AdaBoost algorithm. IJCNN (2017)
Xin Dang, Ran Wei, Guohui Li
An efficient movement and mental classification for children with autism based on motion and EEG features. J. Ambient Intell. Humaniz. Comput. 8 (6) (2017)
Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins
A generative Bayesian model to identify cancer driver genes. BIBM (2015)
Kai Yu, Xin Dang, Henry L. Bart Jr., Yixin Chen
Robust Model-Based Learning via Spatial-EM Algorithm. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Xin Dang, Takayoshi Nakai
Noise Power Spectral Density Estimation Using the Generalized Gamma Probability Density Function and Minimum Mean Square Error. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2014)
Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
Learning accurate and interpretable models based on regularized random forests regression. BMC Syst. Biol. 8 (S-3) (2014)
Wei Xu, Zhi Xiao, Xin Dang, Daoli Yang, Xianglei Yang
Financial ratio selection for business failure prediction using soft set theory. Knowl. Based Syst. 63 (2014)
Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
Rule based regression and feature selection for biological data. BIBM (2013)
Zhi Xiao, Xianglei Yang, Ying Pang, Xin Dang
The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory. Knowl. Based Syst. 26 (2012)
Fei Teng, Yixin Chen, Xin Dang
Multiclass classification with potential function rules: Margin distribution and generalization. Pattern Recognit. 45 (1) (2012)
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
Leveraging domain information to restructure biological prediction. BMC Bioinform. 12 (S-10) (2011)
Xin Dang, Takayoshi Nakai
Noise reduction using modified phase spectra and Wiener Filter. MLSP (2011)
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
Learning to rank using 1-norm regularization and convex hull reduction. ACM Southeast Regional Conference (2010)
Weihua Zhou, Xin Dang
Projection based scatter depth functions and associated scatter estimators. J. Multivar. Anal. 101 (1) (2010)
Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins
Graph ranking for exploratory gene data analysis. BMC Bioinform. 10 (S-11) (2009)
Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr.
Outlier Detection with the Kernelized Spatial Depth Function. IEEE Trans. Pattern Anal. Mach. Intell. 31 (2) (2009)
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng
Depth-Based Novelty Detection and Its Application to Taxonomic Research. ICDM (2007)
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilkins
Robust clustering in high dimensional data using statistical depths. BMC Bioinform. 8 (S-7) (2007)