Xiaoqian Wang
Xiaoqian Wang
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
3802014
The constrained laplacian rank algorithm for graph-based clustering
F Nie, X Wang, M Jordan, H Huang
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
2922016
New primal SVM solver with linear computational cost for big data classifications
F Nie, Y Huang, X Wang, H Huang
Proceedings of the 31st International Conference on International Conference …, 2014
642014
Learning a structured optimal bipartite graph for co-clustering
F Nie, X Wang, C Deng, H Huang
Advances in Neural Information Processing Systems, 4129-4138, 2017
412017
Multiclass capped ℓp-Norm SVM for robust classifications
F Nie, X Wang, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
362017
Balanced self-paced learning for generative adversarial clustering network
K Ghasedi, X Wang, C Deng, H Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
282019
Structured doubly stochastic matrix for graph based clustering: Structured doubly stochastic matrix
X Wang, F Nie, H Huang
Proceedings of the 22nd ACM SIGKDD International conference on Knowledge …, 2016
262016
Discriminative unsupervised dimensionality reduction
X Wang, Y Liu, F Nie, H Huang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
242015
Semi-supervised generative adversarial network for gene expression inference
K Ghasedi Dizaji, X Wang, H Huang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
222018
Conditional generative adversarial network for gene expression inference
X Wang, K Ghasedi Dizaji, H Huang
Bioinformatics 34 (17), i603-i611, 2018
212018
Regularized modal regression with applications in cognitive impairment prediction
X Wang, H Chen, W Cai, D Shen, H Huang
Advances in neural information processing systems, 1448-1458, 2017
17*2017
Prediction of memory impairment with MRI Data: a longitudinal study of Alzheimer’s disease
X Wang, D Shen, H Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
162016
Group sparse additive machine
H Chen, X Wang, C Deng, H Huang
Advances in Neural Information Processing Systems, 198-208, 2017
132017
Cognitive assessment prediction in Alzheimer’s disease by multi-layer multi-target regression
X Wang, X Zhen, Q Li, D Shen, H Huang
Neuroinformatics 16 (3-4), 285-294, 2018
82018
Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model
X Wang, J Yan, X Yao, S Kim, K Nho, SL Risacher, AJ Saykin, L Shen, ...
International Conference on Research in Computational Molecular Biology, 287-302, 2017
82017
Predicting interrelated Alzheimer’s disease outcomes via new self-learned structured low-rank model
X Wang, K Liu, J Yan, SL Risacher, AJ Saykin, L Shen, H Huang
International Conference on Information Processing in Medical Imaging, 198-209, 2017
72017
Temporal Correlation Structure Learning for MCI Conversion Prediction
X Wang, W Cai, D Shen, H Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
42018
New robust clustering model for identifying cancer genome landscapes
H Gao, X Wang, H Huang
2016 IEEE 16th International Conference on Data Mining (ICDM), 151-160, 2016
42016
Approaching machine learning fairness through adversarial network
X Wang, H Huang
arXiv preprint arXiv:1909.03013, 2019
22019
Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression
J Yan, C Deng, L Luo, X Wang, X Yao, L Shen, H Huang
Frontiers in Neuroscience 13, 2019
22019
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