| -Laplacian Regularization for Scene Recognition W Liu, X Ma, Y Zhou, D Tao, J Cheng IEEE Transactions on Cybernetics 49 (8), 2927-2940, 2018 | 93 | 2018 |
| Hypergraph -Laplacian Regularization for Remotely Sensed Image Recognition X Ma, W Liu, S Li, D Tao, Y Zhou IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1585-1595, 2018 | 65 | 2018 |
| Comprehensive graph gradual pruning for sparse training in graph neural networks C Liu, X Ma, Y Zhan, L Ding, D Tao, B Du, W Hu, DP Mandic IEEE Transactions on Neural Networks and Learning Systems, 2023 | 39 | 2023 |
| Gapformer: Graph Transformer with Graph Pooling for Node Classification. C Liu, Y Zhan, X Ma, L Ding, D Tao, J Wu, W Hu IJCAI, 2196-2205, 2023 | 33 | 2023 |
| Alpha-IoU: A family of power intersection over union losses for bounding box regression. arXiv 2021 J He, S Erfani, X Ma, J Bailey, Y Chi, XS Hua arXiv preprint arXiv:2110.13675, 0 | 20 | |
| Ensemble p-Laplacian Regularization for Scene Image Recognition X Ma, W Liu, D Tao, Y Zhou Cognitive Computation 11, 841-854, 2019 | 18 | 2019 |
| Masked graph auto-encoder constrained graph pooling C Liu, Y Zhan, X Ma, D Tao, B Du, W Hu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 10 | 2022 |
| Graph structure reforming framework enhanced by commute time distance for graph classification W Yu, X Ma, J Bailey, Y Zhan, J Wu, B Du, W Hu Neural Networks 168, 539-548, 2023 | 5 | 2023 |
| Learning representation on optimized high-order manifold for visual classification X Ma, W Liu, Q Tian, Y Gao IEEE Transactions on Multimedia 24, 3989-4001, 2021 | 5 | 2021 |
| Effective human action recognition by combining manifold regularization and pairwise constraints X Ma, D Tao, W Liu Multimedia Tools and Applications 78, 13313-13329, 2019 | 5 | 2019 |
| Recent advances of manifold regularization X Ma, W Liu Manifolds II-Theory and Applications, 2018 | 5 | 2018 |
| Gradformer: Graph Transformer with Exponential Decay C Liu, Z Yao, Y Zhan, X Ma, S Pan, W Hu arXiv preprint arXiv:2404.15729, 2024 | 4 | 2024 |
| Exploring sparsity in graph transformers C Liu, Y Zhan, X Ma, L Ding, D Tao, J Wu, W Hu, B Du Neural Networks 174, 106265, 2024 | 3 | 2024 |
| Ensemble p-Laplacian regularization for remote sensing image recognition X Ma, W Liu, D Tao, Y Zhou arXiv preprint arXiv:1806.08109, 2018 | 3 | 2018 |
| Finding core labels for maximizing generalization of graph neural networks S Fu, X Ma, Y Zhan, F You, Q Peng, T Liu, J Bailey, D Mandic Neural Networks 180, 106635, 2024 | 2 | 2024 |
| Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders C Liu, Y Wang, Y Zhan, X Ma, D Tao, J Wu, W Hu arXiv preprint arXiv:2404.15806, 2024 | 2 | 2024 |
| Dual-perspective Cross Contrastive Learning in Graph Transformers Z Yao, C Liu, X Ma, M Chen, J Wu, X Cai, B Du, W Hu arXiv preprint arXiv:2406.00403, 2024 | 1 | 2024 |
| Hi-GMAE: Hierarchical Graph Masked Autoencoders C Liu, Z Yao, Y Zhan, X Ma, D Tao, J Wu, W Hu, S Pan, B Du arXiv preprint arXiv:2405.10642, 2024 | 1 | 2024 |
| Graph explicit pooling for graph-level representation learning C Liu, W Yu, K Gao, X Ma, Y Zhan, J Wu, W Hu, B Du Neural Networks 181, 106790, 2025 | | 2025 |
| Training Sparse Graph Neural Networks via Pruning and Sprouting X Ma, X Ma, S Erfani, J Bailey Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
