Depth-Based Novelty Detection and Its Application to Taxonomic Research. - Yixin Chen 002; Henry L. Bart Jr.; Xin Dang; Hanxiang Peng (ICDM, 2007)

Robust clustering in high dimensional data using statistical depths. - Yuanyuan Ding; Xin Dang; Hanxiang Peng; Dawn Wilkins (BMC Bioinform., 2007)

Graph ranking for exploratory gene data analysis. - Cuilan Gao; Xin Dang; Yixin Chen 002; Dawn Wilkins (BMC Bioinform., 2009)

Outlier Detection with the Kernelized Spatial Depth Function. - Yixin Chen 002; Xin Dang; Hanxiang Peng; Henry L. Bart Jr. (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Learning to rank using 1-norm regularization and convex hull reduction. - Xiaofei Nan; Yixin Chen 002; Xin Dang; Dawn Wilkins (ACM Southeast Regional Conference, 2010)

Projection based scatter depth functions and associated scatter estimators. - Weihua Zhou; Xin Dang (J. Multivar. Anal., 2010)

Noise reduction using modified phase spectra and Wiener Filter. - Xin Dang; Takayoshi Nakai (MLSP, 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 002; Dawn Wilkins (BMC Bioinform., 2011)

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)

Multiclass classification with potential function rules: Margin distribution and generalization. - Fei Teng 010; Yixin Chen 002; Xin Dang (Pattern Recognit., 2012)

Rule based regression and feature selection for biological data. - Sheng Liu; Shamitha Dissanayake; Sanjay Patel; Xin Dang; Todd Mlsna; Yixin Chen 002; Dawn Wilkins (BIBM, 2013)

Learning accurate and interpretable models based on regularized random forests regression. - Sheng Liu; Shamitha Dissanayake; Sanjay Patel; Xin Dang; Todd Mlsna; Yixin Chen 002; Dawn Wilkins (BMC Syst. Biol., 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)

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)

A generative Bayesian model to identify cancer driver genes. - Christopher Ma; Zhendong Zhao; Tina Gui; Yixin Chen 002; Xin Dang; Dawn Wilkins (BIBM, 2015)

Robust Model-Based Learning via Spatial-EM Algorithm. - Kai Yu; Xin Dang; Henry L. Bart Jr.; Yixin Chen 002 (IEEE Trans. Knowl. Data Eng., 2015)

A robust speech watermarking based on Quantization Index Modulation and Double Discrete Cosine Transform. - Shengbei Wang; Xu-Yang Liu; Xin Dang; Jianming Wang (CISP-BMEI, 2017)

An image reconstruction framework based on deep neural network for electrical impedance tomography. - Xiuyan Li; Yang Lu; Jianming Wang; Xin Dang; Qi Wang 040; Xiaojie Duan; Yukuan Sun (ICIP, 2017)

Label confidence based AdaBoost algorithm. - Zhe Luo; Xin Dang; Yixin Chen 002 (IJCNN, 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)

Integration of Cancer Data through Multiple Mixed Graphical Model. - Christopher Ma; Tina Gui; Xin Dang; Yixin Chen 002; Dawn Wilkins (BCB, 2018)

Recognition Influence of Different Acousitc Characters between Male and Female Speakers. - Liying Zhao; Qiuyan Wang; Xin Dang (CSAI/ICIMT, 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 (EEET, 2018)

Pareto cascade modeling of diffusion networks. - Christopher Ma; Xin Dang; Yixin Chen 002; Dawn Wilkins (IJCNN, 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)

Improving Performance of Convolutional Neural Networks via Feature Embedding. - Torumoy Ghoshal; Silu Zhang; Xin Dang; Dawn Wilkins; Yixin Chen 002 (ACM Southeast Regional Conference, 2019)

Predicting Electricity Usage Based on Deep Neural Network*. - Ran Wei; Jinhai Wang; Qirui Gan; Xin Dang; Huiquan Wang (CIVEMSA, 2019)

Heart Sound Analysis Based on Extended Features and Related Factors. - Jian Fei Chen; Xin Dang (SSCI, 2019)

An application performance optimization model of mobile augmented reality based on hd restoration. - Xin Dang; Hai Wang 010; Jie Ren 007; Le Chen (CBD, 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)

Estimating Feature-Label Dependence Using Gini Distance Statistics. - Silu Zhang; Xin Dang; Dao Nguyen; Dawn Wilkins; Yixin Chen 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multivariate time series data imputation using attention-based mechanism. - Jingqi Zhao; Chuitian Rong; Chunbin Lin; Xin Dang (Neurocomputing, 2023)

QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism. - Jingqi Zhao; Chuitian Rong; Xin Dang; Huabo Sun (Big Data Min. Anal., 2024)

Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation. - Yongli Sang; Xin Dang (J. Multivar. Anal., 2024)