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
4842014
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
3832016
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
72*2014
Learning a structured optimal bipartite graph for co-clustering
F Nie, X Wang, C Deng, H Huang
Proceedings of the 31st International Conference on Neural Information …, 2017
582017
Balanced self-paced learning for generative adversarial clustering network
K Ghasedi, X Wang, C Deng, H Huang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
462019
Multiclass capped ℓp-Norm SVM for robust classifications
F Nie, X Wang, H Huang
Thirty-first AAAI conference on artificial intelligence, 2017
442017
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
392016
Conditional generative adversarial network for gene expression inference
X Wang, K Ghasedi Dizaji, H Huang
Bioinformatics 34 (17), i603-i611, 2018
362018
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
342018
Discriminative unsupervised dimensionality reduction
X Wang, Y Liu, F Nie, H Huang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
332015
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 30, 1448-1458, 2017
24*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
202016
Group sparse additive machine
H Chen, X Wang, C Deng, H Huang
Proceedings of the 31st International Conference on Neural Information …, 2017
152017
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), 285-294, 2018
112018
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
102017
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
82016
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
72018
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
Approaching machine learning fairness through adversarial network
X Wang, H Huang
arXiv preprint arXiv:1909.03013, 2019
52019
Shapley Explanation Networks
R Wang, X Wang, DI Inouye
arXiv preprint arXiv:2104.02297, 2021
32021
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