Yonghao Xu

Assistant Professor

Publication list

Review papers

Qihao Weng, Zhiwei Li, Yinxia Cao, Xiaoyan Lu, Paolo Gamba, Xiaoxiang Zhu, Yonghao Xu, Fan Zhang, Rongjun Qin, Micheal. Y. Yang, Peifeng Ma, Wei Huang, Tiangang Yin, Qiming Zheng, Yuhan Zhou, Greg Asner, How will AI transform urban observing, sensing, imaging, and mapping?, npj Urban Sustainability 4:50 (2024) https://doi.org/10.1038/s42949-024-00188-3

Recent preprints

Yonghao Xu, Pedram Ghamisi, Yannis Avrithis, Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data (2024) https://arxiv.org/abs/2405.06502

Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg, Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration (2023) https://arxiv.org/abs/2306.04621

Journal papers

Tao Bai, Yiming Cao, Yonghao Xu, Bihan Wen, Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing 62:5614817 (2024) https://doi.org/10.1109/TGRS.2024.3377009

Weikang Yu, Yonghao Xu, Pedram Ghamisi, Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models, International Journal of Applied Earth Observation and Geoinformation 133:104131 (2024) https://doi.org/10.1016/j.jag.2024.104131

Yichu Xu, Yonghao Xu, Hongzan Jiao, Zhi Gao, Lefei Zhang, S³ANet: Spatial–Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing 62:5512913 (2024) https://doi.org/10.1109/TGRS.2024.3381824

Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi, AI Security for Geoscience and Remote Sensing: Challenges and Future Trends, IEEE Geoscience and Remote Sensing Magazine, Volume 11:Issue 2, Pages 60-85 (2023) https://doi.org/10.1109/MGRS.2023.3272825 https://arxiv.org/abs/2212.09360

Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter, Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks, IEEE Transactions on Image Processing 32:5737-5750 (2023) https://doi.org/10.1109/tip.2023.3323799 https://arxiv.org/abs/2208.04441

Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gulsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hansch, There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation, Published in IEEE Geoscience and Remote Sensing Magazine, vol. 11:no. 3, pp. 63-97, Sept. (2023) https://doi.org/10.1109/MGRS.2023.3293459 https://arxiv.org/abs/2310.19231

Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi, Backdoor Attacks for Remote Sensing Data with Wavelet Transform, IEEE Trans. Geos. Remote Sens., vol. 61:pp. 1-15 (2023) https://doi.org/10.1109/TGRS.2023.3289307 https://arxiv.org/abs/2211.08044

Yonghao Xu, Bo Du, Liangpei Zhang, Robust Self-Ensembling Network for Hyperspectral Image Classification, IEEE Trans. Neural Netw. Learn. Syst. (2022) https://doi.org/10.1109/TNNLS.2022.3198142 https://arxiv.org/abs/2104.03765

Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang, Self-Ensembling GAN for Cross-Domain Semantic Segmentation, IEEE Trans. Multimedia (2022) https://doi.org/10.1109/TMM.2022.3229976 https://arxiv.org/abs/2112.07999

Yonghao Xu, Pedram Ghamisi, Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations, IEEE Trans. Image Process., vol. 31:pp. 5038-5051 (2022) https://doi.org/10.1109/TIP.2022.3189825 https://arxiv.org/abs/2202.03740

Yonghao Xu, Pedram Ghamisi, Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark, IEEE Trans. Geos. Remote Sens., vol. 60:pp. 1-15 (2022) https://doi.org/10.1109/TGRS.2022.3156392 https://arxiv.org/abs/2202.07054

Conference papers

Yonghao Xu, Amanda Berg, Leif Haglund, Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data, IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024, IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IEEE (2024) https://doi.org/10.1109/IGARSS53475.2024.10641441 https://arxiv.org/abs/2403.17884

Emanuel Sanchez Aimar, Nathaniel Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg, Flexible Distribution Alignment, Computer Vision – ECCV 2024, Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (eds.), Lecture Notes in Computer Science, pp. 307-327, Springer Nature Switzerland (2024) https://doi.org/10.1007/978-3-031-72949-2_18