Xiaoqian Wang

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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 and Radiology, 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
Hongchang GaoTemple UniversityVerified email at temple.edu
Yun LiuUniversity of Texas at ArlingtonVerified email at mavs.uta.edu
Xiantong ZhenUnited ImagingVerified email at inceptioniai.org
Kefei LiuDepartment of Biostatistics, Epidemiology and Informatics, University of PennsylvaniaVerified email at pennmedicine.upenn.edu
Ji LiuMetaVerified email at meta.com

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	1007	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	875	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	160	2017
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	117	2019
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	86	2017
Conditional generative adversarial network for gene expression inference X Wang, K Ghasedi Dizaji, H Huang Bioinformatics 34 (17), i603-i611, 2018	62	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	59	2016
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	54	2018
Shapley explanation networks R Wang, X Wang, DI Inouye arXiv preprint arXiv:2104.02297, 2021	53	2021
Discriminative unsupervised dimensionality reduction X Wang, Y Liu, F Nie, H Huang Twenty-fourth international joint conference on artificial intelligence, 2015	52	2015
Fairness with adaptive weights J Chai, X Wang International Conference on Machine Learning, 2853-2866, 2022	50	2022
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	45	2021
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	42	2017
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	41	2022
Fairness without demographics through knowledge distillation J Chai, T Jang, X Wang Advances in Neural Information Processing Systems 35, 19152-19164, 2022	39	2022
Group sparse additive machine H Chen, X Wang, C Deng, H Huang Advances in Neural Information Processing Systems 30, 2017	34	2017
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	32	2018
Self-supervised fair representation learning without demographics J Chai, X Wang Advances in Neural Information Processing Systems 35, 27100-27113, 2022	31	2022
Self-interpretable model with transformation equivariant interpretation Y Wang, X Wang Advances in Neural Information Processing Systems 34, 2359-2372, 2021	24	2021

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