| Refined tooth and pulp segmentation using U-Net in CBCT image W Duan, Y Chen, Q Zhang, X Lin, X Yang Dentomaxillofacial Radiology 50 (6), 20200251, 2021 | 41 | 2021 |
| Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples W Duan, J Xuan, M Qiao, J Lu Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), 2022 | 24 | 2022 |
| Micro–computed tomography–guided artificial intelligence for pulp cavity and tooth segmentation on cone-beam computed tomography X Lin, Y Fu, G Ren, X Yang, W Duan, Y Chen, Q Zhang Journal of Endodontics 47 (12), 1933-1941, 2021 | 22 | 2021 |
| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes W Duan, J Xuan, M Qiao, J Lu IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | 3 | 2023 |
| Layer-diverse Negative Sampling for Graph Neural Networks W Duan, J Lu, YG Wang, J Xuan Transactions on Machine Learning Research (TMLR), 2024 | 2 | 2024 |
| Graph Convolutional Neural Networks with Negative Sampling W Duan UTS, 2022 | 2 | 2022 |
| Negative samples-enhanced graph convolutional neural networks W Duan, J Xuan, J Lu 2021 16th International Conference on Intelligent Systems and Knowledge …, 2021 | 2 | 2021 |
| Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning W Duan, J Lu, J Xuan arXiv preprint arXiv:2403.19253, 2024 | 1 | 2024 |
| Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning W Duan, J Lu, J Xuan IJCAI2024, 2024 | | 2024 |
Junyu XuanAAII, University of Technology SydneyVerified email at uts.edu.au
