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Xiaoqian Wang
Xiaoqian Wang
Purdue University
Bestätigte E-Mail-Adresse bei purdue.edu - Startseite
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Zitiert von
Zitiert von
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Clustering and projected clustering with adaptive neighbors
F Nie, X Wang, H Huang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
9662014
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
8362016
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
1522017
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
1122019
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
89*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
832017
Conditional generative adversarial network for gene expression inference
X Wang, K Ghasedi Dizaji, H Huang
Bioinformatics 34 (17), i603-i611, 2018
622018
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
592016
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
532018
Discriminative unsupervised dimensionality reduction
X Wang, Y Liu, F Nie, H Huang
Twenty-fourth international joint conference on artificial intelligence, 2015
522015
Shapley explanation networks
R Wang, X Wang, DI Inouye
arXiv preprint arXiv:2104.02297, 2021
482021
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
412017
Fairness with adaptive weights
J Chai, X Wang
International Conference on Machine Learning, 2853-2866, 2022
392022
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
392021
Fairness without demographics through knowledge distillation
J Chai, T Jang, X Wang
Advances in Neural Information Processing Systems 35, 19152-19164, 2022
352022
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
342022
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
342018
Group sparse additive machine
H Chen, X Wang, C Deng, H Huang
Advances in Neural Information Processing Systems 30, 2017
322017
Self-supervised fair representation learning without demographics
J Chai, X Wang
Advances in Neural Information Processing Systems 35, 27100-27113, 2022
262022
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
242016
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