| Graph pooling for graph neural networks: Progress, challenges, and opportunities C Liu, Y Zhan, J Wu, C Li, B Du, W Hu, T Liu, D Tao Proceedings of the 32nd International Joint Conference on Artificial …, 2022 | 48 | 2022 |
| Vega-mt: The jd explore academy translation system for wmt22 C Zan, K Peng, L Ding, B Qiu, B Liu, S He, Q Lu, Z Zhang, C Liu, W Liu, ... arXiv preprint arXiv:2209.09444, 2022 | 30 | 2022 |
| Range and dose verification in proton therapy using proton-induced positron emitters and recurrent neural networks (RNNs) C Liu, Z Li, W Hu, L Xing, H Peng Physics in Medicine & Biology 64 (17), 175009, 2019 | 28 | 2019 |
| Comprehensive graph gradual pruning for sparse training in graph neural networks C Liu, X Ma, Y Zhan, L Ding, D Tao, B Du, W Hu, DP Mandic IEEE Transactions on Neural Networks and Learning Systems, 2023 | 24 | 2023 |
| Enhancing graph neural networks by a high-quality aggregation of beneficial information C Liu, J Wu, W Liu, W Hu Neural Networks 142, 20-33, 2021 | 23 | 2021 |
| Vega-MT: The JD explore academy machine translation system for WMT22 C Zan, K Peng, L Ding, B Qiu, B Liu, S He, Q Lu, Z Zhang, C Liu, W Liu, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 411-422, 2022 | 15 | 2022 |
| Gapformer: Graph transformer with graph pooling for node classification C Liu, Y Zhan, X Ma, L Ding, D Tao, J Wu, W Hu Proceedings of the 32nd International Joint Conference on Artificial …, 2023 | 10 | 2023 |
| Masked graph auto-encoder constrained graph pooling C Liu, Y Zhan, X Ma, D Tao, B Du, W Hu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 9 | 2022 |
| On exploring node-feature and graph-structure diversities for node drop graph pooling C Liu, Y Zhan, B Yu, L Liu, B Du, W Hu, T Liu Neural Networks 167, 559-571, 2023 | 3 | 2023 |
| Exploring sparsity in graph transformers C Liu, Y Zhan, X Ma, L Ding, D Tao, J Wu, W Hu, B Du Neural Networks 174, 106265, 2024 | 1 | 2024 |
| Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders C Liu, Y Wang, Y Zhan, X Ma, D Tao, J Wu, W Hu Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | | 2024 |
| Gradformer: Graph Transformer with Exponential Decay C Liu, Z Yao, Y Zhan, X Ma, S Pan, W Hu Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | | 2024 |
| Towards a better negative sampling strategy for dynamic graphs K Gao, C Liu, J Wu, B Du, W Hu Neural Networks, 106175, 2024 | | 2024 |
| Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes C Liu, W Yu, K Gao, X Ma, Y Zhan, J Wu, B Du, W Hu arXiv preprint arXiv:2311.12644, 2023 | | 2023 |
| Exploring High-Order Message-Passing in Graph Transformers X Ma, X Ma, C Liu, SM Erfani, J Bailey | | 2023 |
Wenbin HuSchool of Computer, Wuhan UniversityVerified email at whu.edu.cn
