| Efficient and robust feature selection via joint ℓ2, 1-norms minimization F Nie, H Huang, X Cai, C Ding Advances in neural information processing systems 23, 2010 | 2679 | 2010 |
| Clustering and projected clustering with adaptive neighbors F Nie, X Wang, H Huang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 1137 | 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 | 1080 | 2016 |
| Multi-view k-means clustering on big data. X Cai, F Nie, H Huang IJCAI 13, 2598-2604, 2013 | 833 | 2013 |
| Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization K Ghasedi Dizaji, A Herandi, C Deng, W Cai, H Huang Proceedings of the IEEE international conference on computer vision, 5736-5745, 2017 | 751 | 2017 |
| Multi-view subspace clustering H Gao, F Nie, X Li, H Huang Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015 | 736 | 2015 |
| Large-scale multi-view spectral clustering via bipartite graph Y Li, F Nie, H Huang, J Huang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 719 | 2015 |
| Using smart meter data to improve the accuracy of intraday load forecasting considering customer behavior similarities FL Quilumba, WJ Lee, H Huang, DY Wang, RL Szabados IEEE transactions on smart grid 6 (2), 911-918, 2014 | 626 | 2014 |
| Deep learning-based image segmentation on multimodal medical imaging Z Guo, X Li, H Huang, N Guo, Q Li IEEE transactions on radiation and plasma medical sciences 3 (2), 162-169, 2019 | 509 | 2019 |
| Robust nonnegative matrix factorization using l21-norm D Kong, C Ding, H Huang Proceedings of the 20th ACM international conference on Information and …, 2011 | 428 | 2011 |
| Alpagasus: Training a better alpaca with fewer data L Chen, S Li, J Yan, H Wang, K Gunaratna, V Yadav, Z Tang, V Srinivasan, ... arXiv preprint arXiv:2307.08701, 2023 | 412 | 2023 |
| Low-rank matrix recovery via efficient schatten p-norm minimization F Nie, H Huang, C Ding Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 655-661, 2012 | 410 | 2012 |
| A new simplex sparse learning model to measure data similarity for clustering. J Huang, F Nie, H Huang IJCAI, 3569-3575, 2015 | 388 | 2015 |
| Heterogeneous memory enhanced multimodal attention model for video question answering C Fan, X Zhang, S Zhang, W Wang, C Zhang, H Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 366 | 2019 |
| Multi-view clustering and feature learning via structured sparsity H Wang, F Nie, H Huang International conference on machine learning, 352-360, 2013 | 348 | 2013 |
| Deep attributed network embedding H Gao, H Huang Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018 | 337 | 2018 |
| Heterogeneous image feature integration via multi-modal spectral clustering X Cai, F Nie, H Huang, F Kamangar CVPR 2011, 1977-1984, 2011 | 329 | 2011 |
| A convex formulation for semi-supervised multi-label feature selection X Chang, F Nie, Y Yang, H Huang Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 311 | 2014 |
| Multi-horizon time series forecasting with temporal attention learning C Fan, Y Zhang, Y Pan, X Li, C Zhang, R Yuan, D Wu, W Wang, J Pei, ... Proceedings of the 25th ACM SIGKDD International conference on knowledge …, 2019 | 309 | 2019 |
| Optimal mean robust principal component analysis F Nie, J Yuan, H Huang International conference on machine learning, 1062-1070, 2014 | 303 | 2014 |
