| Modulation of electromagnetic wave absorption by carbon shell thickness in carbon encapsulated magnetite nanospindles–poly (vinylidene fluoride) composites X Liu, X Cui, Y Chen, XJ Zhang, R Yu, GS Wang, H Ma Carbon 95, 870-878, 2015 | 199 | 2015 |
| Flexible nanocomposites with enhanced microwave absorption properties based on Fe 3 O 4/SiO 2 nanorods and polyvinylidene fluoride X Liu, Y Chen, X Cui, M Zeng, R Yu, GS Wang Journal of Materials Chemistry A 3 (23), 12197-12204, 2015 | 180 | 2015 |
| Multi-view 3d reconstruction with transformers D Wang, X Cui, X Chen, Z Zou, T Shi, S Salcudean, ZJ Wang, R Ward Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 116 | 2021 |
| Stabilization of ultrafine metal nanocatalysts on thin carbon sheets X Liu, X Cui, Y Liu, Y Yin Nanoscale 7 (43), 18320-18326, 2015 | 28 | 2015 |
| Multi-feature sea–land segmentation based on pixel-wise learning for optical remote-sensing imagery D Wang, X Cui, F Xie, Z Jiang, Z Shi International journal of remote sensing 38 (15), 4327-4347, 2017 | 24 | 2017 |
| Robust sparse unmixing for hyperspectral imagery D Wang, Z Shi, X Cui IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1348-1359, 2017 | 22 | 2017 |
| Generalizable neural radiance fields for novel view synthesis with transformer D Wang, X Cui, S Salcudean, ZJ Wang arXiv preprint arXiv:2206.05375, 2022 | 21 | 2022 |
| CHIP: Channel-wise disentangled interpretation of deep convolutional neural networks X Cui, D Wang, ZJ Wang IEEE transactions on neural networks and learning systems 31 (10), 4143-4156, 2019 | 20 | 2019 |
| Chain: Concept-harmonized hierarchical inference interpretation of deep convolutional neural networks D Wang, X Cui, ZJ Wang arXiv preprint arXiv:2002.01660, 2020 | 11 | 2020 |
| Multi-scale interpretation model for convolutional neural networks: Building trust based on hierarchical interpretation X Cui, D Wang, ZJ Wang IEEE Transactions on Multimedia 21 (9), 2263-2276, 2019 | 11 | 2019 |
| A general sample-weighted framework for epileptic seizure prediction Y Gao, A Liu, X Cui, R Qian, X Chen Computers in Biology and Medicine 150, 106169, 2022 | 10 | 2022 |
| Feature-flow interpretation of deep convolutional neural networks X Cui, D Wang, ZJ Wang IEEE Transactions on Multimedia 22 (7), 1847-1861, 2020 | 9 | 2020 |
| Distilling invariant representations with domain adversarial learning for cross-subject children seizure prediction Z Zhang, A Liu, Y Gao, X Cui, R Qian, X Chen IEEE Transactions on Cognitive and Developmental Systems 16 (1), 202-211, 2023 | 7 | 2023 |
| The structure and multifunctional behaviors of Mn–ZnO/Mn–ZnS nanocomposites X Liu, X Chen, X Cui, R Yu Ceramics International 40 (9), 13847-13854, 2014 | 7 | 2014 |
| Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference D Wang, X Cui, X Chen, R Ward, ZJ Wang IEEE Transactions on Image Processing 30, 6701-6714, 2021 | 5 | 2021 |
| Shell-enhanced photoluminescence and ferromagnetism of Co:ZnS/Co:ZnO core–shell nanostructure X Liu, X Cui, X Chen, N Yang, R Yu Materials Research Bulletin 50, 113-117, 2013 | 4 | 2013 |
| Interpretability of deep convolutional neural networks in image analysis X Cui University of British Columbia, 2020 | | 2020 |
| Sparse unmixing based on feature pixels for hyperspectral imagery X Cui, ZJ Wang 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | | 2017 |
Dan WangUniversity of Copenhagen, DIKU, Pioneer Centre for AIAdresse e-mail validée de di.ku.dk