W Liu, X Ma, Y Zhou, D Tao, J Cheng
IEEE Transactions on Cybernetics 49 (8), 2927-2940, 2018
93 2018 Hypergraph 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
41 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
21 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 Gradformer: Graph Transformer with Exponential Decay C Liu, Z Yao, Y Zhan, X Ma, S Pan, W Hu
arXiv preprint arXiv:2404.15729, 2024
5 2024 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 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
4 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
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 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