Iterative spectral method for alternative clustering C Wu, S Ioannidis, M Sznaier, X Li, D Kaeli, J Dy International Conference on Artificial Intelligence and Statistics, 115-123, 2018 | 24 | 2018 |
A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue Y Lin, WJ Zhang, C Wu, G Yang, J Dy International Journal of Human-Computer Studies 67 (5), 455-463, 2009 | 23 | 2009 |
Instance-wise feature grouping A Masoomi, C Wu, T Zhao, Z Wang, P Castaldi, J Dy Advances in Neural Information Processing Systems 33, 13374-13386, 2020 | 15 | 2020 |
Deep Kernel Learning for Clustering∗ C Wu, Z Khan, S Ioannidis, JG Dy Proceedings of the 2020 SIAM International Conference on Data Mining, 640-648, 2020 | 15 | 2020 |
Solving interpretable kernel dimension reduction C Wu, J Miller, Y Chang, M Sznaier, J Dy arXiv preprint arXiv:1909.03093, 2019 | 11 | 2019 |
A hybrid approach to identifying key factors in environmental health studies S Dong, Z Feric, X Li, SM Rahman, G Li, C Wu, AZ Gu, J Dy, D Kaeli, ... 2018 IEEE International Conference on Big Data (Big Data), 2855-2862, 2018 | 9 | 2018 |
Solving interpretable kernel dimensionality reduction C Wu, J Miller, Y Chang, M Sznaier, J Dy Advances in Neural Information Processing Systems 32, 2019 | 8 | 2019 |
Machine learning-based determination of sampling depth for complex environmental systems: case study with single-cell Raman spectroscopy data in EBPR systems G Li, C Wu, D Wang, V Srinivasan, DR Kaeli, JG Dy, AZ Gu Environmental Science & Technology 56 (18), 13473-13484, 2022 | 5 | 2022 |
Deep layer-wise networks have closed-form weights CT Wu, A Masoomi, A Gretton, J Dy International Conference on Artificial Intelligence and Statistics, 188-225, 2022 | 4 | 2022 |
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth S Dong, Z Feric, G Li, C Wu, AZ Gu, J Dy, J Meeker, IY Padilla, J Cordero, ... 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 2 | 2020 |
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion C Wu, J Miller, Y Chang, M Sznaier, J Dy arXiv preprint arXiv:1909.05097, 2019 | 1 | 2019 |
Kernel Dependence Network C Wu, A Masoomi, A Gretton, J Dy arXiv preprint arXiv:2011.03320, 2020 | | 2020 |
Layer-wise Learning of Kernel Dependence Networks. C Wu, A Masoomi, A Gretton, JG Dy CoRR, 2020 | | 2020 |
Interactive kernel dimension alternative clustering on GPUs X Li, C Wu, S Dong, J Dy, D Kaeli 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | | 2018 |