| Learning graph representation by aggregating subgraphs via mutual information maximization C Wang, Z Liu arXiv preprint arXiv:2103.13125, 2021 | 19 | 2021 |
| Enhancing hyperspectral unmixing with two-stage multiplicative update nonnegative matrix factorization L Sun, K Zhao, C Han, Z Liu IEEE access 7, 171023-171031, 2019 | 6 | 2019 |
| Active set type algorithms for nonnegative matrix factorization in hyperspectral unmixing L Sun, C Han, Z Liu Mathematical Problems in Engineering 2019 (1), 9609302, 2019 | 5 | 2019 |
| Learning graph representation by aggregating subgraphs via mutual information maximization Z Liu, C Wang, C Han, T Guo Neurocomputing 548, 126392, 2023 | 2 | 2023 |
| STDNet: Rethinking Disentanglement Learning With Information Theory Z Liu, M Li, C Han, S Tang, T Guo IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| Masked reconstruction contrastive learning with information bottleneck principle Z Liu, B Li, C Han, T Guo, X Nie arXiv preprint arXiv:2211.09013, 2022 | 1 | 2022 |
| Blocked and Hierarchical Disentangled Representation From Information Theory Perspective Z Liu, M Li, C Han arXiv preprint arXiv:2101.08408, 2021 | 1 | 2021 |
| Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving J He, B Li, G Yang, Z Liu arXiv preprint arXiv:2405.15241, 2024 | | 2024 |
| Unsupervised layer-wise feature extraction algorithm for surface electromyography based on information theory M Li, Z Liu, S Tang, J Ge, F Zhang Frontiers in Neuroscience 16, 975131, 2022 | | 2022 |
