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2020 – today
- 2024
[j18]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): 12-28 (2024)- [j17]Yongli Sang, Xin Dang:
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation. J. Multivar. Anal. 204: 105360 (2024) - 2023
- [j16]Jingqi Zhao, Chuitian Rong, Chunbin Lin, Xin Dang:
Multivariate time series data imputation using attention-based mechanism. Neurocomputing 542: 126238 (2023) - 2021
- [j15]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): 1947-1963 (2021) - 2020
- [j14]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): 835-841 (2020) - [c16]Xin Dang, Hai Wang, Jie Ren, Le Chen:
An application performance optimization model of mobile augmented reality based on hd restoration. CBD 2020: 201-206
2010 – 2019
- 2019
- [c15]Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen:
Improving Performance of Convolutional Neural Networks via Feature Embedding. ACM Southeast Regional Conference 2019: 31-38 - [c14]Ran Wei, Jinhai Wang, Qirui Gan, Xin Dang, Huiquan Wang:
Predicting Electricity Usage Based on Deep Neural Network*. CIVEMSA 2019: 1-6 - [c13]Jian Fei Chen, Xin Dang:
Heart Sound Analysis Based on Extended Features and Related Factors. SSCI 2019: 2189-2194 - [i2]Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen:
Estimating Feature-Label Dependence Using Gini Distance Statistics. CoRR abs/1906.02171 (2019) - 2018
- [j13]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): 3069-3083 (2018) - [c12]Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins:
Integration of Cancer Data through Multiple Mixed Graphical Model. BCB 2018: 341-350 - [c11]Liying Zhao, Qiuyan Wang, Xin Dang:
Recognition Influence of Different Acousitc Characters between Male and Female Speakers. CSAI/ICIMT 2018: 394-398 - [c10]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: 39-43 - [c9]Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins:
Pareto cascade modeling of diffusion networks. IJCNN 2018: 1-7 - [i1]Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang:
Robust and Efficient Boosting Method using the Conditional Risk. CoRR abs/1806.08151 (2018) - 2017
- [j12]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): 907-912 (2017) - [c8]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: 1-6 - [c7]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: 3585-3589 - [c6]Zhe Luo, Xin Dang, Yixin Chen:
Label confidence based AdaBoost algorithm. IJCNN 2017: 3617-3624 - 2015
- [j11]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): 1670-1682 (2015) - [c5]Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins:
A generative Bayesian model to identify cancer driver genes. BIBM 2015: 351-356 - 2014
- [j10]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): S5 (2014) - [j9]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. 97-A(3): 820-829 (2014) - [j8]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: 59-67 (2014) - 2013
- [c4]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: 446-451 - 2012
- [j7]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: 196-206 (2012) - [j6]Fei Teng, Yixin Chen, Xin Dang:
Multiclass classification with potential function rules: Margin distribution and generalization. Pattern Recognit. 45(1): 540-551 (2012) - 2011
- [j5]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): S22 (2011) - [c3]Xin Dang, Takayoshi Nakai:
Noise reduction using modified phase spectra and Wiener Filter. MLSP 2011: 1-5 - 2010
- [j4]Weihua Zhou, Xin Dang:
Projection based scatter depth functions and associated scatter estimators. J. Multivar. Anal. 101(1): 138-153 (2010) - [c2]Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins:
Learning to rank using 1-norm regularization and convex hull reduction. ACM Southeast Regional Conference 2010: 31
2000 – 2009
- 2009
- [j3]Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins:
Graph ranking for exploratory gene data analysis. BMC Bioinform. 10(S-11): 19 (2009) - [j2]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): 288-305 (2009) - 2007
- [j1]Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilkins:
Robust clustering in high dimensional data using statistical depths. BMC Bioinform. 8(S-7) (2007) - [c1]Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng:
Depth-Based Novelty Detection and Its Application to Taxonomic Research. ICDM 2007: 113-122
Coauthor Index
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