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Plos One|September 7, 2021
Random forest-integrated analysis in AD and LATE brain transcriptome-wide data to identify disease-specific gene expressionXinxing Wu, Chong Peng, Peter T Nelson, et al.Journal of Alzheimer'S Disease : JAD|October 3, 2022
Machine Learning Approach Predicts Probability of Time to Stage-Specific Conversion of Alzheimer's DiseaseXinxing Wu, Chong Peng, Peter T Nelson, et al.Alzheimer'S & Dementia (New York, N. Y.)|November 9, 2022
Deep learning algorithm reveals probabilities of stage-specific time to conversion in individuals with neurodegenerative disease LATEXinxing Wu, Chong Peng, Peter T Nelson, et al.IJCAI : Proceedings of the Conference|December 19, 2022
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-EncodersXinxing Wu, Qiang ChengAdvances in Neural Information Processing Systems|October 3, 2022
Algorithmic Stability and Generalization of an Unsupervised Feature Selection AlgorithmXinxing Wu, Qiang ChengProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|April 8, 2022
Fractal Autoencoders for Feature SelectionXinxing Wu, Qiang ChengIEEE Transactions on Neural Networks and Learning Systems|July 22, 2020
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced DataChong Peng, Qiang ChengComputational Intelligence and Neuroscience|August 1, 2015
LogDet Rank Minimization with Application to Subspace ClusteringZhao Kang, Chong Peng, Jie Cheng, et al.Information Sciences|February 24, 2025
Two-Dimensional Semi-Nonnegative Matrix Factorization for ClusteringChong Peng, Zhilu Zhang, Chenglizhao Chen, et al.Knowledge-Based Systems|August 14, 2025
Log-based sparse nonnegative matrix factorization for data representationChong Peng, Yiqun Zhang, Yongyong Chen, et al.Pageof 122