| Towards better analysis of deep convolutional neural networks M Liu, J Shi, Z Li, C Li, J Zhu, S Liu IEEE transactions on visualization and computer graphics 23 (1), 91-100, 2016 | 619 | 2016 |
| Understanding hidden memories of recurrent neural networks Y Ming, S Cao, R Zhang, Z Li, Y Chen, Y Song, H Qu 2017 IEEE conference on visual analytics science and technology (VAST), 13-24, 2017 | 284 | 2017 |
| A unified understanding of deep nlp models for text classification Z Li, X Wang, W Yang, J Wu, Z Zhang, Z Liu, M Sun, H Zhang, S Liu IEEE Transactions on Visualization and Computer Graphics 28 (12), 4980-4994, 2022 | 47 | 2022 |
| Narvis: Authoring narrative slideshows for introducing data visualization designs Q Wang, Z Li, S Fu, W Cui, H Qu IEEE transactions on visualization and computer graphics 25 (1), 779-788, 2018 | 47 | 2018 |
| Diagnosing concept drift with visual analytics W Yang, Z Li, M Liu, Y Lu, K Cao, R Maciejewski, S Liu 2020 IEEE conference on visual analytics science and technology (VAST), 12-23, 2020 | 42 | 2020 |
| Designing narrative slideshows for learning analytics Q Chen, Z Li, TC Pong, H Qu 2019 IEEE pacific visualization symposium (PacificVis), 237-246, 2019 | 21 | 2019 |
| A Scalable Matrix Visualization for Understanding Tree Ensemble Classifiers Z Li, W Yang, J Yuan, J Wu, C Chen, Y Ming, F Yang, H Zhang, S Liu arXiv preprint arXiv:2409.03164, 2024 | | 2024 |
