| Deep people counting in extremely dense crowds C Wang, H Zhang, L Yang, S Liu, X Cao Proceedings of the 23rd ACM international conference on Multimedia, 1299-1302, 2015 | 475 | 2015 |
| Modularity based community detection with deep learning. L Yang, X Cao, D He, C Wang, X Wang, W Zhang IJCAI 16 (2016), 2252-2258, 2016 | 280 | 2016 |
| Semantic community identification in large attribute networks X Wang, D Jin, X Cao, L Yang, W Zhang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 240 | 2016 |
| A unified semi-supervised community detection framework using latent space graph regularization L Yang, X Cao, D Jin, X Wang, D Meng IEEE transactions on cybernetics 45 (11), 2585-2598, 2014 | 230 | 2014 |
| Total variation regularized RPCA for irregularly moving object detection under dynamic background X Cao, L Yang, X Guo IEEE transactions on cybernetics 46 (4), 1014-1027, 2015 | 200 | 2015 |
| Heterogeneous graph neural network via attribute completion D Jin, C Huo, C Liang, L Yang Proceedings of the web conference 2021, 391-400, 2021 | 182 | 2021 |
| Topology Optimization based Graph Convolutional Network. L Yang, Z Kang, X Cao, Di Jin 0001, B Yang, Y Guo IJCAI, 4054-4061, 2019 | 103 | 2019 |
| Diverse message passing for attribute with heterophily L Yang, M Li, L Liu, C Wang, X Cao, Y Guo Advances in Neural Information Processing Systems 34, 4751-4763, 2021 | 75 | 2021 |
| A fast space-saving algorithm for maximal co-location pattern mining X Yao, L Peng, L Yang, T Chi Expert Systems with Applications 63, 310-323, 2016 | 72 | 2016 |
| Incorporating network structure with node contents for community detection on large networks using deep learning J Cao, D Jin, L Yang, J Dang Neurocomputing 297, 71-81, 2018 | 71 | 2018 |
| Robust foreground detection using smoothness and arbitrariness constraints X Guo, X Wang, L Yang, X Cao, Y Ma Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 64 | 2014 |
| Bi-gcn: Binary graph convolutional network J Wang, Y Wang, Z Yang, L Yang, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
| Graph attention topic modeling network L Yang, F Wu, J Gu, C Wang, X Cao, D Jin, Y Guo Proceedings of the web conference 2020, 144-154, 2020 | 54 | 2020 |
| Multiple Semantic Matching on Augmented -Partite Graph for Object Co-Segmentation C Wang, H Zhang, L Yang, X Cao, H Xiong IEEE Transactions on Image Processing 26 (12), 5825-5839, 2017 | 38 | 2017 |
| Masked Graph Convolutional Network. L Yang, F Wu, Y Wang, J Gu, Y Guo IJCAI, 4070-4077, 2019 | 37 | 2019 |
| Graph neural networks beyond compromise between attribute and topology L Yang, W Zhou, W Peng, B Niu, J Gu, C Wang, X Cao, D He Proceedings of the ACM web conference 2022, 1127-1135, 2022 | 36 | 2022 |
| Analyzing heterogeneous networks with missing attributes by unsupervised contrastive learning D He, C Liang, C Huo, Z Feng, D Jin, L Yang, W Zhang IEEE Transactions on Neural Networks and learning systems 35 (4), 4438-4450, 2022 | 34 | 2022 |
| Active link selection for efficient semi-supervised community detection L Yang, D Jin, X Wang, X Cao Scientific reports 5 (1), 9039, 2015 | 33 | 2015 |
| Why do attributes propagate in graph convolutional neural networks? L Yang, C Wang, J Gu, X Cao, B Niu Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4590-4598, 2021 | 31 | 2021 |
| A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references X Yao, L Chen, C Wen, L Peng, L Yang, T Chi, X Wang, W Yu International Journal of Geographical Information Science 32 (5), 980-1005, 2018 | 29 | 2018 |
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