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 | 448 | 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 | 253 | 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 | 49 | 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 | 43 | 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 |
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 | 26 | 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 | 25 | 2022 |
JANE: Jointly Adversarial Network Embedding. L Yang, Y Wang, J Gu, C Wang, X Cao, Y Guo IJCAI, 1381-1387, 2020 | 25 | 2020 |
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 | 23 | 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 | 20 | 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 | 10 | 2020 |
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 | 6 | 2022 |
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 | 3 | 2023 |
Pmp-net: Rethinking visual context for scene graph generation X Tong, R Wang, C Wang, S Zhang, X Cao ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
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 | 2 | 2023 |
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 | 2 | 2022 |
Image composite authentication using a single shadow observation XC Cao, HD Zhao, C Wang, W Zhang Science China. Information Sciences 58 (9), 1-13, 2015 | 2 | 2015 |
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 | 1 | 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 | 1 | 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 | 1 | 2022 |