| Clustering and projected clustering with adaptive neighbors F Nie, X Wang, H Huang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 380 | 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 | 292 | 2016 |
| 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 | 64 | 2014 |
| Learning a structured optimal bipartite graph for co-clustering F Nie, X Wang, C Deng, H Huang Advances in Neural Information Processing Systems, 4129-4138, 2017 | 41 | 2017 |
| 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 | 36 | 2017 |
| Balanced self-paced learning for generative adversarial clustering network K Ghasedi, X Wang, C Deng, H Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 28 | 2019 |
| 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 | 26 | 2016 |
| Discriminative unsupervised dimensionality reduction X Wang, Y Liu, F Nie, H Huang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 24 | 2015 |
| 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 | 22 | 2018 |
| Conditional generative adversarial network for gene expression inference X Wang, K Ghasedi Dizaji, H Huang Bioinformatics 34 (17), i603-i611, 2018 | 21 | 2018 |
| 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, 1448-1458, 2017 | 17* | 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 | 16 | 2016 |
| Group sparse additive machine H Chen, X Wang, C Deng, H Huang Advances in Neural Information Processing Systems, 198-208, 2017 | 13 | 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 (3-4), 285-294, 2018 | 8 | 2018 |
| 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 | 8 | 2017 |
| 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 | 7 | 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 | 4 | 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 | 4 | 2016 |
| Approaching machine learning fairness through adversarial network X Wang, H Huang arXiv preprint arXiv:1909.03013, 2019 | 2 | 2019 |
| Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression J Yan, C Deng, L Luo, X Wang, X Yao, L Shen, H Huang Frontiers in Neuroscience 13, 2019 | 2 | 2019 |
Heng HuangJohn A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of PittsburghVerified email at pitt.edu
