Xin Dang - RankMe

38 papers A* 1B 3Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACA-Net: Adaptive cloud-aware network for remote sensing image thick cloud removal. Expert Syst. Appl. Baopu Hou, Yaowei Li, Xin Dang, Jinguang Wang, Quankai Zhao, Hongjia Qu, Yuting Yang, Xiaoxuan Chen, Bo Jiang
2026	J	`jnl`	Interpretable machine learning-based prediction of liver metastasis risk in elderly patients with small cell lung Cancer: A study based on the SEER database and external validation in a Chinese cohort. Int. J. Medical Informatics Hang Chen, Wenchao Dai, Jun Yang, Xin Dang, Li Jiang
2024	J	`jnl`	Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation. J. Multivar. Anal. Yongli Sang, Xin Dang
2024	J	`jnl`	QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism. Big Data Min. Anal. Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun
2023	J	`jnl`	Multivariate time series data imputation using attention-based mechanism. Neurocomputing Jingqi Zhao, Chuitian Rong, Chunbin Lin, Xin Dang
2021	J	`jnl`	Estimating Feature-Label Dependence Using Gini Distance Statistics. IEEE Trans. Pattern Anal. Mach. Intell. Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
2020	—	`conf`	An application performance optimization model of mobile augmented reality based on hd restoration. CBD Xin Dang, Hai Wang, Jie Ren, Le Chen
2020	J	`jnl`	Short-term multiple power type prediction based on deep learning. Int. J. Syst. Assur. Eng. Manag. Ran Wei, Qirui Gan, Huiquan Wang, Yue You, Xin Dang
2019	J	`jnl`	Estimating Feature-Label Dependence Using Gini Distance Statistics. CoRR Silu Zhang, Xin Dang, Dao Nguyen, Dawn Wilkins, Yixin Chen
2019	—	`conf`	Heart Sound Analysis Based on Extended Features and Related Factors. SSCI Jian Fei Chen, Xin Dang
2019	—	`conf`	Improving Performance of Convolutional Neural Networks via Feature Embedding. ACM Southeast Regional Conference Torumoy Ghoshal, Silu Zhang, Xin Dang, Dawn Wilkins, Yixin Chen
2019	—	`conf`	Predicting Electricity Usage Based on Deep Neural Network CIVEMSA Ran Wei, Jinhai Wang, Qirui Gan, Xin Dang, Huiquan Wang
2018	—	`conf`	An Online Power System Dynamics Prediction Based on Deep Neural Network. EEET Bin Zhang, Jian Han, Yanlin Ren, Huimin Wen, Ziye Song, Qirui Gan, Ran Wei, Xin Dang, Bin Zhou
2018	—	`conf`	Integration of Cancer Data through Multiple Mixed Graphical Model. BCB Christopher Ma, Tina Gui, Xin Dang, Yixin Chen, Dawn Wilkins
2018	B	`conf`	Pareto cascade modeling of diffusion networks. IJCNN Christopher Ma, Xin Dang, Yixin Chen, Dawn Wilkins
2018	—	`conf`	Recognition Influence of Different Acousitc Characters between Male and Female Speakers. CSAI/ICIMT Liying Zhao, Qiuyan Wang, Xin Dang
2018	J	`jnl`	Robust and Efficient Boosting Method Using the Conditional Risk. IEEE Trans. Neural Networks Learn. Syst. Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang
2018	J	`jnl`	Robust and Efficient Boosting Method using the Conditional Risk. CoRR Zhi Xiao, Zhe Luo, Bo Zhong, Xin Dang
2017	—	`conf`	A robust speech watermarking based on Quantization Index Modulation and Double Discrete Cosine Transform. CISP-BMEI Shengbei Wang, Xu-Yang Liu, Xin Dang, Jianming Wang
2017	J	`jnl`	An efficient movement and mental classification for children with autism based on motion and EEG features. J. Ambient Intell. Humaniz. Comput. Xin Dang, Ran Wei, Guohui Li
2017	B	`conf`	An image reconstruction framework based on deep neural network for electrical impedance tomography. ICIP Xiuyan Li, Yang Lu, Jianming Wang, Xin Dang, Qi Wang, Xiaojie Duan, Yukuan Sun
2017	B	`conf`	Label confidence based AdaBoost algorithm. IJCNN Zhe Luo, Xin Dang, Yixin Chen
2015	—	`conf`	A generative Bayesian model to identify cancer driver genes. BIBM Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins
2015	J	`jnl`	Robust Model-Based Learning via Spatial-EM Algorithm. IEEE Trans. Knowl. Data Eng. Kai Yu, Xin Dang, Henry L. Bart Jr., Yixin Chen
2014	J	`jnl`	Financial ratio selection for business failure prediction using soft set theory. Knowl. Based Syst. Wei Xu, Zhi Xiao, Xin Dang, Daoli Yang, Xianglei Yang
2014	J	`jnl`	Learning accurate and interpretable models based on regularized random forests regression. BMC Syst. Biol. Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
2014	J	`jnl`	Noise Power Spectral Density Estimation Using the Generalized Gamma Probability Density Function and Minimum Mean Square Error. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Xin Dang, Takayoshi Nakai
2013	—	`conf`	Rule based regression and feature selection for biological data. BIBM Sheng Liu, Shamitha Dissanayake, Sanjay Patel, Xin Dang, Todd Mlsna, Yixin Chen, Dawn Wilkins
2012	J	`jnl`	Multiclass classification with potential function rules: Margin distribution and generalization. Pattern Recognit. Fei Teng, Yixin Chen, Xin Dang
2012	J	`jnl`	The prediction for listed companies' financial distress by using multiple prediction methods with rough set and Dempster-Shafer evidence theory. Knowl. Based Syst. Zhi Xiao, Xianglei Yang, Ying Pang, Xin Dang
2011	J	`jnl`	Leveraging domain information to restructure biological prediction. BMC Bioinform. 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
2011	—	`conf`	Noise reduction using modified phase spectra and Wiener Filter. MLSP Xin Dang, Takayoshi Nakai
2010	—	`conf`	Learning to rank using 1-norm regularization and convex hull reduction. ACM Southeast Regional Conference Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
2010	J	`jnl`	Projection based scatter depth functions and associated scatter estimators. J. Multivar. Anal. Weihua Zhou, Xin Dang
2009	J	`jnl`	Graph ranking for exploratory gene data analysis. BMC Bioinform. Cuilan Gao, Xin Dang, Yixin Chen, Dawn Wilkins
2009	J	`jnl`	Outlier Detection with the Kernelized Spatial Depth Function. IEEE Trans. Pattern Anal. Mach. Intell. Yixin Chen, Xin Dang, Hanxiang Peng, Henry L. Bart Jr.
2007	A*	`conf`	Depth-Based Novelty Detection and Its Application to Taxonomic Research. ICDM Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang Peng
2007	J	`jnl`	Robust clustering in high dimensional data using statistical depths. BMC Bioinform. Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilkins