| 2024 | ECCV | Flexible Distribution Alignment: Towards Long-Tailed Semi-supervised Learning with Proper Calibration. | Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg |
| 2024 | IGARSS | SEN2FIRE: A Challenging Benchmark Dataset for Wildfire Detection Using Sentinel Data. | Yonghao Xu, Amanda Berg, Leif Haglund |
| 2023 | ICIAP | Semi-supervised Classification for Remote Sensing Datasets. | Itza Hernandez-Sequeira, Rubn Fernndez-Beltran, Yonghao Xu, Pedram Ghamisi, Filiberto Pla |
| 2021 | CIKM | Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. | Yonghao Xu, Pedram Ghamisi |
| 2019 | AAAI | Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation. | Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang |
| 2019 | CVPR | Fast Spatio-Temporal Residual Network for Video Super-Resolution. | Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao |
| 2019 | IGARSS | Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network. | Yonghao Xu, Bo Du, Liangpei Zhang |
| 2018 | IGARSS | Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing. | Yonghao Xu, Bo Du, Liangpei Zhang |
| 2018 | IGARSS | Can We Generate Good Samples for Hyperspectral Classification? - A Generative Adversarial Network Based Method. | Yonghao Xu, Bo Du, Liangpei Zhang |