Xiaoqian Wang

Cited by

	All	Since 2017
Citations	1733	1646
h-index	14	14
i10-index	16	16

420

210

105

315

2015201620172018201920202021202225 51 130 204 247 359 418 287

Public access

View all

22 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Heng HuangJohn A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of PittsburghVerified email at pitt.edu
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian UniversityVerified email at mail.xidian.edu.cn
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Kamran Ghasedi DizajiMicrosoftVerified email at microsoft.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Li ShenProfessor of Informatics, University of Pennsylvania Perelman School of MedicineVerified email at pennmedicine.upenn.edu
Andrew SaykinIndiana University School of MedicineVerified email at iu.edu
Yizhen HuangShanghai Jiaotong University, AMD Inc., Intel Corporation, University of Wisconsin-MadisonVerified email at sjtu.org
Kwangsik NhoAssociate Professor of Radiology and Imaging Sciences, Indiana University School of MedicineVerified email at iupui.edu
Weidong (Tom) CaiSchool of Computer Science, The University of SydneyVerified email at sydney.edu.au
Hong ChenDepartment of Mathematics and Statistics, Huazhong Agricultural UniversityVerified email at uta.edu
Yun LiuUniversity of Texas at ArlingtonVerified email at mavs.uta.edu
Hongchang GaoTemple UniversityVerified email at temple.edu
Xiantong ZhenUvA IIAIVerified email at inceptioniai.org
Kefei LiuDepartment of Biostatistics, Epidemiology and Informatics, University of PennsylvaniaVerified email at pennmedicine.upenn.edu
Ji LiuUniversity of RochesterVerified email at cs.rochester.edu

Xiaoqian Wang

Purdue University

Verified email at purdue.edu - Homepage

Machine Learning Data Mining Bioinformatics


Title Sort by citations Sort by year Sort by 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	612	2014
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	498	2016
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	85	2017
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	77*	2014
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	58	2019
Multiclass capped ℓp-Norm SVM for robust classifications F Nie, X Wang, H Huang Thirty-first AAAI conference on artificial intelligence, 2017	56	2017
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	44	2018
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	44	2016
Conditional generative adversarial network for gene expression inference X Wang, K Ghasedi Dizaji, H Huang Bioinformatics 34 (17), i603-i611, 2018	39	2018
Discriminative unsupervised dimensionality reduction X Wang, Y Liu, F Nie, H Huang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	39	2015
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	26	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	19	2016
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	17	2018
Group sparse additive machine H Chen, X Wang, C Deng, H Huang Advances in Neural Information Processing Systems 30, 2017	17	2017
Shapley explanation networks R Wang, X Wang, DI Inouye arXiv preprint arXiv:2104.02297, 2021	11	2021
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	10	2017
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	9	2018
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	9	2016
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	8	2021
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	8	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors