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 | 450 | 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 | 264 | 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 | 226 | 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 | 218 | 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 | 194 | 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 | 162 | 2021 |
Topology Optimization based Graph Convolutional Network. L Yang, Z Kang, X Cao, Di Jin 0001, B Yang, Y Guo IJCAI, 4054-4061, 2019 | 92 | 2019 |
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 | 70 | 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 | 65 | 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 |
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 | 60 | 2021 |
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 | 53 | 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 | 44 | 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 | 37 | 2017 |
Masked Graph Convolutional Network. L Yang, F Wu, Y Wang, J Gu, Y Guo IJCAI, 4070-4077, 2019 | 33 | 2019 |
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 | 30 | 2021 |
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 | 29 | 2022 |
Toward unsupervised graph neural network: Interactive clustering and embedding via optimal transport L Yang, J Gu, C Wang, X Cao, L Zhai, D Jin, Y Guo 2020 IEEE international conference on data mining (ICDM), 1358-1363, 2020 | 26 | 2020 |
JANE: Jointly Adversarial Network Embedding. L Yang, Y Wang, J Gu, C Wang, X Cao, Y Guo IJCAI, 1381-1387, 2020 | 26 | 2020 |