| Robust causal graph representation learning against confounding effects H Gao, J Li, W Qiang, L Si, B Xu, C Zheng, F Sun Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7624-7632, 2023 | 14 | 2023 |
| Bootstrapping informative graph augmentation via A meta learning approach H Gao, J Li, W Qiang, L Si, F Sun, C Zheng arXiv preprint arXiv:2201.03812, 2022 | 12 | 2022 |
| Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering Y Guo, Z Zang, H Gao, X Xu, R Wang, L Liu, J Li Knowledge-Based Systems 284, 111225, 2024 | 7 | 2024 |
| Weight-aware graph contrastive learning H Gao, J Li, P Qiao, C Zheng International Conference on Artificial Neural Networks, 719-730, 2022 | 5 | 2022 |
| Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning J Li, Y Jin, H Gao, W Qiang, C Zheng, F Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13518 …, 2024 | 4 | 2024 |
| Introducing diminutive causal structure into graph representation learning H Gao, P Qiao, Y Jin, F Wu, J Li, C Zheng Knowledge-Based Systems 293, 111592, 2024 | 3 | 2024 |
| Rethinking causal relationships learning in graph neural networks H Gao, C Yao, J Li, L Si, Y Jin, F Wu, C Zheng, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12145 …, 2024 | 3 | 2024 |
| Information theory-guided heuristic progressive multi-view coding J Li, H Gao, W Qiang, C Zheng Neural Networks 167, 415-432, 2023 | 3 | 2023 |
| Manifold-guided sampling in diffusion models for unbiased image generation X Su, W Qiang, Z Song, H Gao, F Wu, C Zheng arXiv preprint arXiv:2307.08199, 2023 | 2 | 2023 |
| Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks D Jia, H Gao, X Su, F Wu, J Zhao International Conference on Neural Information Processing, 434-451, 2023 | 1 | 2023 |
| A unified gan framework regarding manifold alignment for remote sensing images generation X Su, W Qiang, Z Song, H Gao, F Wu, C Zheng arXiv preprint arXiv:2305.19507 2, 2023 | 1 | 2023 |
| Molecular Graph Representation Learning via Structural Similarity Information C Yao, H Huang, H Gao, F Wu, H Chen, J Zhao Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Learning Node Representations Under Partial Label Learning J Yuan, H Gao, F Wu, J Zhao 2024 International Joint Conference on Neural Networks (IJCNN), 1-8, 2024 | | 2024 |
| Graph Partial Label Learning with Potential Cause Discovering H Gao, J Yuan, J Li, C Yao, F Wu, J Zhao, C Zheng arXiv preprint arXiv:2403.11449, 2024 | | 2024 |
| Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective H Gao, J Li, W Qiang, L Si, X Su, F Wu, C Zheng, F Sun arXiv preprint arXiv:2301.08496, 2023 | | 2023 |
| Self-supervised Graph Learning with Segmented Graph Channels H Gao, J Li, C Zheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | | 2022 |
Changwen Zheng中国科学院软件研究所iscas.ac.cn üzerinde doğrulanmış e-posta adresine sahip