| Weighted graph embedding-based metric learning for kinship verification J Liang, Q Hu, C Dang, W Zuo IEEE Transactions on Image Processing 28 (3), 1149-1162, 2018 | 67 | 2018 |
| Multi-view graph convolutional networks with attention mechanism K Yao, J Liang, J Liang, M Li, F Cao Artificial Intelligence 307, 103708, 2022 | 35 | 2022 |
| Semi-supervised learning with mixed-order graph convolutional networks J Wang, J Liang, J Cui, J Liang Information Sciences 573, 171-181, 2021 | 31 | 2021 |
| Efficient multi-modal geometric mean metric learning J Liang, Q Hu, P Zhu, W Wang Pattern Recognition, 188-198, 2018 | 25 | 2018 |
| Semisupervised online multikernel similarity learning for image retrieval J Liang, Q Hu, W Wang, Y Han IEEE Transactions on Multimedia 19 (5), 1077-1089, 2016 | 23 | 2016 |
| Graph convolutional autoencoders with co-learning of graph structure and node attributes J Wang, J Liang, K Yao, J Liang, D Wang Pattern Recognition 121, 108215, 2022 | 17 | 2022 |
| Semi-supervised image clustering with multi-modal information J Liang, Y Han, Q Hu Multimedia Systems 22, 149-160, 2016 | 15 | 2016 |
| Semisupervised laplace-regularized multimodality metric learning J Liang, P Zhu, C Dang, Q Hu IEEE Transactions on Cybernetics 52 (5), 2955-2967, 2020 | 7 | 2020 |
| Metric learning with clustering-based constraints X Guo, C Dang, J Liang, W Wei, J Liang International Journal of Machine Learning and Cybernetics 12 (12), 3597-3605, 2021 | 5 | 2021 |
| A deterministic annealing algorithm for approximating a solution of the linearly constrained nonconvex quadratic minimization problem C Dang, J Liang, Y Yang Neural networks 39, 1-11, 2013 | 5 | 2013 |
| GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges J Wang, J Liang, J Liang, K Yao IEEE Transactions on Neural Networks and Learning Systems, 2022 | 4 | 2022 |
| Metric learning via perturbing hard-to-classify instances X Guo, W Wei, J Liang, C Dang, J Liang Pattern Recognition 132, 108928, 2022 | 3 | 2022 |
| Cross-modal propagation network for generalized zero-shot learning T Guo, J Liang, J Liang, GS Xie Pattern Recognition Letters 159, 125-131, 2022 | 2 | 2022 |
| Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud J Liang, Z Du, J Liang, K Yao, F Cao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution S Tang, K Yao, J Liang, Z Wang, J Liang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 1 | 2023 |
| A zero-shot learning boosting framework via concept-constrained clustering Q Yue, J Cui, L Bai, J Liang, J Liang Pattern Recognition 145, 109937, 2024 | | 2024 |
| A general representation learning framework with generalization performance guarantees J Cui, J Liang, Q Yue, J Liang International Conference on Machine Learning, 6522-6544, 2023 | | 2023 |
| 混杂数据的多核几何平均度量学习 齐忍， 朱鹏飞， 梁建青 软件学报 28 (11), 2992-3001, 2017 | | 2017 |
| 基于半监督距离学习和多模态信息的图像聚类 梁建青， 胡清华 计算机科学 41 (3), 41-45, 2014 | | 2014 |
