| 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 | 66 | 2021 |
| 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 | 41 | 2021 |
| Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples W Duan, J Xuan, M Qiao, J Lu The 36th AAAI Conference on Artificial Intelligence (AAAI 2022), 2022 | 39 | 2022 |
| Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning W Duan, J Lu, J Xuan The 33rd International Joint Conference on Artificial Intelligence (IJCAI …, 2024 | 7 | 2024 |
| Layer-diverse Negative Sampling for Graph Neural Networks W Duan, J Lu, YG Wang, J Xuan Transactions on Machine Learning Research (TMLR), 2024 | 7 | 2024 |
| 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 | 7 | 2023 |
| Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning W Duan, J Lu, J Xuan IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 | 4 | 2024 |
| Negative samples-enhanced graph convolutional neural networks W Duan, J Xuan, J Lu 2021 16th International Conference on Intelligent Systems and Knowledge …, 2021 | 3 | 2021 |
| Graph Convolutional Neural Networks with Negative Sampling W Duan UTS, 2022 | 2 | 2022 |
| Mecon: A GNN-based graph classification framework for MEV activity detection Z Yao, F Huang, Y Li, W Duan, P Qian, N Yang, W Susilo Expert Systems with Applications 269, 126486, 2025 | 1 | 2025 |
Junyu XuanAAII, University of Technology SydneyPreverjeni e-poštni naslov na uts.edu.au
