| Dropping symmetry for fast symmetric nonnegative matrix factorization Z Zhu, X Li, K Liu, Q Li Advances in Neural Information Processing Systems 31, 2018 | 46 | 2018 |
| Learning multi-instance enriched image representations via non-greedy ratio maximization of the l1-norm distances K Liu, H Wang, F Nie, H Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 20 | 2018 |
| Learning robust distance metric with side information via ratio minimization of orthogonally constrained l21-norm distances K Liu, L Brand, H Wang, F Nie Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 18 | 2019 |
| Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration K Liu, H Wang, F Han, H Zhang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8034-8041, 2019 | 13 | 2019 |
| Spherical principal component analysis K Liu, Q Li, H Wang, G Tang Proceedings of the 2019 SIAM international conference on data mining, 387-395, 2019 | 13 | 2019 |
| Learning strictly orthogonal p-order nonnegative laplacian embedding via smoothed iterative reweighted method H Yang, K Liu, H Wang, F Nie IJCAI, 2019 | 13 | 2019 |
| High-order co-clustering via strictly orthogonal and symmetric l1-norm nonnegative matrix tri-factorization K Liu, H Wang Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 13 | 2018 |
| Robust Multi-Relational Clustering via ℓ1-Norm Symmetric Nonnegative Matrix Factorization K Liu, H Wang Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 13 | 2015 |
| A provable splitting approach for symmetric nonnegative matrix factorization X Li, Z Zhu, Q Li, K Liu IEEE Transactions on Knowledge and Data Engineering 35 (3), 2206-2219, 2021 | 12 | 2021 |
| Incentivized exploration for multi-armed bandits under reward drift Z Liu, H Wang, F Shen, K Liu, L Chen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4981-4988, 2020 | 12 | 2020 |
| Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis K Liu, H Wang, S Risacher, A Saykin, L Shen 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 9 | 2018 |
| Learning robust multilabel sample specific distances for identifying hiv-1 drug resistance L Brand, X Yang, K Liu, S Elbeleidy, H Wang, H Zhang, F Nie Journal of Computational Biology 27 (4), 655-672, 2020 | 6 | 2020 |
| A Study of Non-Negative Matrix Factorizations: Foundations, Methods, Algorithms, and Applications K Liu Colorado School of Mines, 2019 | 3 | 2019 |
| Rethinking symmetric matrix factorization: A more general and better clustering perspective M Zhang, K Liu 2022 IEEE International Conference on Data Mining (ICDM), 695-702, 2022 | 2 | 2022 |
| On regularized sparse logistic regression M Zhang, K Liu 2023 IEEE International Conference on Data Mining (ICDM), 1535-1540, 2023 | 1 | 2023 |
| Multi-task learning with prior information M Zhang, K Liu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Enriched robust multi-view kernel subspace clustering M Zhang, K Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1 | 2022 |
| Spherical matrix factorization K Liu arXiv preprint arXiv:2111.14536, 2021 | 1 | 2021 |
| Transvae: a novel variational sequence-to-sequence framework for semi-supervised learning and diversity improvement X Wang, T Hu, X Ren, J Sun, K Liu, M Zhang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 1 | 2021 |
| Nesterov Meets Robust Multitask Learning Twice Y Kang, K Liu OPT 2023: Optimization for Machine Learning, 2023 | | 2023 |
Hua WangColorado School of MinesAdresse e-mail validée de mines.edu
