Multi-objective meta learning F Ye*, B Lin*, Z Yue, P Guo, Q Xiao, Y Zhang NeurIPS 2021, 2021 | 47 | 2021 |
Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer X Wang, P Guo, Y Zhang ECML-PKDD 2023, 2023 | 29* | 2023 |
Selective Partial Domain Adaptation P Guo, J Zhu, Y Zhang BMVC 2022, 2022 | 11 | 2022 |
Deep multi-task augmented feature learning via hierarchical graph neural network P Guo, C Deng, L Xu, X Huang, Y Zhang ECML-PKDD 2021, 2021 | 7 | 2021 |
Multi-task adversarial attack P Guo*, Y Xu*, B Lin, Y Zhang arXiv preprint arXiv:2011.09824, 2020 | 7 | 2020 |
Safe Multi-Task Learning P Guo, F Ye, Y Zhang arXiv preprint arXiv:2111.10601, 2021 | 6* | 2021 |
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting P Guo, P Jin, Z Li, L Bai, Y Zhang arXiv preprint arXiv:2401.04148, 2024 | 4 | 2024 |
Learning Feature Alignment Architecture for Domain Adaptation Z Yue, P Guo, Y Zhang, C Liang IJCNN 2022, 2022 | 2 | 2022 |
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting J Zhu, F Ye, Q Xiao, P Guo, Y Zhang, Q Yang arXiv preprint arXiv:2312.05024, 2023 | 1 | 2023 |
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition S Zeng*, P Guo*, S Wang, J Wang, Y Zhou, L Qu MICCAI 2024, 2024 | | 2024 |
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration X Zhang, Q Nie, Z Xiao, J Zhao, X Wu, P Guo, R Li, J Liu, Y Wei, Y Pan arXiv preprint arXiv:2408.02906, 2024 | | 2024 |