| A survey on information visualization: recent advances and challenges S Liu, W Cui, Y Wu, M Liu The Visual Computer 30 (12), 1373-1393, 2014 | 401 | 2014 |
| 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 | 399 | 2016 |
| Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics 1 (1), 48-56, 2017 | 273 | 2017 |
| Cvt: Introducing convolutions to vision transformers H Wu, B Xiao, N Codella, M Liu, X Dai, L Yuan, L Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision, 22-31, 2021 | 270 | 2021 |
| Storyflow: Tracking the evolution of stories S Liu, Y Wu, E Wei, M Liu, Y Liu IEEE Transactions on Visualization and Computer Graphics 19 (12), 2436-2445, 2013 | 204 | 2013 |
| Dynamic convolution: Attention over convolution kernels Y Chen, X Dai, M Liu, D Chen, L Yuan, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 197 | 2020 |
| Opinionflow: Visual analysis of opinion diffusion on social media Y Wu, S Liu, K Yan, M Liu, F Wu IEEE transactions on visualization and computer graphics 20 (12), 1763-1772, 2014 | 190 | 2014 |
| Analyzing the training processes of deep generative models M Liu, J Shi, K Cao, J Zhu, S Liu IEEE transactions on visualization and computer graphics 24 (1), 77-87, 2017 | 118 | 2017 |
| A survey of visual analytics techniques for machine learning J Yuan, C Chen, W Yang, M Liu, J Xia, S Liu Computational Visual Media 7 (1), 3-36, 2021 | 71 | 2021 |
| An uncertainty-aware approach for exploratory microblog retrieval M Liu, S Liu, X Zhu, Q Liao, F Wei, S Pan IEEE transactions on visualization and computer graphics 22 (1), 250-259, 2015 | 56 | 2015 |
| Follower-followee network, communication networks, and vote agreement of the US members of congress TQ Peng, M Liu, Y Wu, S Liu Communication research 43 (7), 996-1024, 2016 | 50 | 2016 |
| Dynamic head: Unifying object detection heads with attentions X Dai, Y Chen, B Xiao, D Chen, M Liu, L Yuan, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 49 | 2021 |
| Dynamic relu Y Chen, X Dai, M Liu, D Chen, L Yuan, Z Liu European Conference on Computer Vision, 351-367, 2020 | 48 | 2020 |
| Analyzing the noise robustness of deep neural networks M Liu, S Liu, H Su, K Cao, J Zhu 2018 IEEE Conference on Visual Analytics Science and Technology (VAST), 60-71, 2018 | 43 | 2018 |
| Mobile-former: Bridging mobilenet and transformer Y Chen, X Dai, D Chen, M Liu, X Dong, L Yuan, Z Liu arXiv preprint arXiv:2108.05895, 2021 | 26 | 2021 |
| Improving Learning-from-Crowds through Expert Validation. M Liu, L Jiang, J Liu, X Wang, J Zhu, S Liu IJCAI, 2329-2336, 2017 | 25 | 2017 |
| Florence: A New Foundation Model for Computer Vision L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ... arXiv preprint arXiv:2111.11432, 2021 | 19 | 2021 |
| Analyzing the noise robustness of deep neural networks K Cao, M Liu, H Su, J Wu, J Zhu, S Liu IEEE transactions on visualization and computer graphics 27 (7), 3289-3304, 2020 | 16 | 2020 |
| Clutter-aware label layout Y Meng, H Zhang, M Liu, S Liu 2015 IEEE Pacific visualization symposium (PacificVis), 207-214, 2015 | 15 | 2015 |
| Revisiting dynamic convolution via matrix decomposition Y Li, Y Chen, X Dai, M Liu, D Chen, Y Yu, L Yuan, Z Liu, M Chen, ... arXiv preprint arXiv:2103.08756, 2021 | 13 | 2021 |
Shixia LiuProfessor of Tsinghua University, IEEE FellowVerified email at tsinghua.edu.cn
