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Xiaoqian Wang
Xiaoqian Wang
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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
8162014
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
7022016
Learning a structured optimal bipartite graph for co-clustering
F Nie, X Wang, C Deng, H Huang
Advances in Neural Information Processing Systems 30, 2017
1262017
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
992019
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
83*2014
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
722017
Conditional generative adversarial network for gene expression inference
X Wang, K Ghasedi Dizaji, H Huang
Bioinformatics 34 (17), i603-i611, 2018
552018
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
532016
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
512018
Discriminative unsupervised dimensionality reduction
X Wang, Y Liu, F Nie, H Huang
Twenty-fourth international joint conference on artificial intelligence, 2015
482015
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, 2017
36*2017
Shapley explanation networks
R Wang, X Wang, DI Inouye
arXiv preprint arXiv:2104.02297, 2021
342021
Group sparse additive machine
H Chen, X Wang, C Deng, H Huang
Advances in Neural Information Processing Systems 30, 2017
302017
Constructing a fair classifier with generated fair data
T Jang, F Zheng, X Wang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7908-7916, 2021
252021
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, 285-294, 2018
252018
Prediction of memory impairment with MRI Data: a longitudinal study of Alzheimer˘s disease
X Wang, D Shen, H Huang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
212016
Fairness with adaptive weights
J Chai, X Wang
International Conference on Machine Learning, 2853-2866, 2022
162022
Group-aware threshold adaptation for fair classification
T Jang, P Shi, X Wang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6988-6995, 2022
162022
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks
X Wang, H Chen, J Yan, K Nho, SL Risacher, AJ Saykin, L Shen, ...
Bioinformatics 34 (17), i866-i874, 2018
162018
Self-interpretable model with transformation equivariant interpretation
Y Wang, X Wang
Advances in Neural Information Processing Systems 34, 2359-2372, 2021
142021
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