| 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 | 457 | 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 | 270 | 2016 |
| 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 | 62 | 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 | 47 | 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 |
| 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 | 35 | 2022 |
| 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 |
| 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 | 27 | 2020 |
| JANE: Jointly Adversarial Network Embedding. L Yang, Y Wang, J Gu, C Wang, X Cao, Y Guo IJCAI, 1381-1387, 2020 | 27 | 2020 |
| Heterogeneous Graph Information Bottleneck. L Yang, F Wu, Z Zheng, B Niu, J Gu, C Wang, X Cao, Y Guo IJCAI, 1638-1645, 2021 | 23 | 2021 |
| Text co-detection in multi-view scene C Wang, H Fu, L Yang, X Cao IEEE Transactions on Image Processing 29, 4627-4642, 2020 | 11 | 2020 |
| LSGNN: towards general graph neural network in node classification by local similarity Y Chen, Y Luo, J Tang, L Yang, S Qiu, C Wang, X Cao arXiv preprint arXiv:2305.04225, 2023 | 10 | 2023 |
| Graph neural networks without propagation L Yang, Q Zhang, R Shi, W Zhou, B Niu, C Wang, X Cao, D He, Z Wang, ... Proceedings of the ACM Web Conference 2023, 469-477, 2023 | 9 | 2023 |
| Self-supervised graph neural networks via diverse and interactive message passing L Yang, C Chen, W Li, B Niu, J Gu, C Wang, D He, Y Guo, X Cao Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4327-4336, 2022 | 8 | 2022 |
| Open: Orthogonal propagation with ego-network modeling L Yang, L Kang, Q Zhang, M Li, D He, Z Wang, C Wang, X Cao, Y Guo Advances in Neural Information Processing Systems 35, 9249-9261, 2022 | 6 | 2022 |
| Self-supervised graph neural networks via low-rank decomposition L Yang, R Shi, Q Zhang, Z Wang, X Cao, C Wang Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Focusing on flexible masks: A novel framework for panoptic scene graph generation with relation constraints J Yang, C Wang, Z Liu, J Wu, D Wang, L Yang, X Cao Proceedings of the 31st ACM International Conference on Multimedia, 4209-4218, 2023 | 4 | 2023 |
| Difference Residual Graph Neural Networks L Yang, W Peng, W Zhou, B Niu, J Gu, C Wang, Y Guo, D He, X Cao Proceedings of the 30th ACM International Conference on Multimedia, 3356-3364, 2022 | 4 | 2022 |
| Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs J Zhuo, C Cui, K Fu, B Niu, D He, Y Guo, Z Wang, C Wang, X Cao, L Yang Proceedings of the 31st ACM International Conference on Multimedia, 481-489, 2023 | 3 | 2023 |
| A database for multi-modal short video quality assessment Y Zhang, C Wang, S Zhang, X Cao ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
Xiaochun CaoSun Yat-sen UniversityVerified email at mail.sysu.edu.cn
