Z. Zhu, J. Ni, J. Kang, Y. Feng and J. Li, "Bridging the Task-domain Gap in Pre-training Remote Sensing Object Detectors," in IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2026.3735572.
P. Chen,Y. Qiu, R. Li and Z. Zhu (corresponding author), "Weakly Supervised Fine-Grained Aircraft Detection Based on Prior-Knowledge Prototype Learning," in Remote Sensing, vol. 18, p. 2390, 2026, doi: 10.3390/rs18142390.
L. He, P. Chen, B. Dong, Y. Zhang, J. Ni and Z. Zhu (corresponding author), "Distilling Missed Samples for Remote Sensing Oriented Object Detectors," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 9980-9997, 2026, doi: 10.1109/JSTARS.2026.3673759.
Z. Zhu, J. Kang, W. Diao, B. Wang and J. Ni, "Align and Complete Samples in Remote Sensing Fine-Grained Rigid Object Detection," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, 2025, Art no. 5655617, doi: 10.1109/TGRS.2025.3635340.
Y. Gao, C. Deng, L. Chen and Z. Zhu (corresponding author), "A Scale-Aware and Discriminative Feature Learning Network for Fine-Grained Rigid Object Recognition," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 1695-1705, 2025, doi: 10.1109/JSTARS.2024.3484411.
Z. Zhu, B. Dong, Q. Bu and J. Ni, "A Parameter-Efficient Differentiable Active Contour Network for Precisely Building Instance Segmentation," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 8355-8359, doi: 10.1109/IGARSS53475.2024.10642815.
Z. Zhu, W. Diao, K. Chen, L. Zhao, Z. Yan, W. Zhang, G. Xu and X. Sun, "DiamondNet: Ship Detection in Remote Sensing Images by Extracting and Clustering Keypoints in a Diamond," ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. V-2-2020, pp. 625-632, 2020, doi: 10.5194/isprs-annals-V-2-2020-625-2020.
Z. Zhu, J. Kang, W. Diao, Y. Feng, J. Li and J. Ni, "SIRS: Multitask Joint Learning for Remote Sensing Foreground-Entity Image–Text Retrieval," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, 2024, Art no. 5625615, doi: 10.1109/TGRS.2024.3402216.
X. Sun*, P. Wang*, W. Lu*, Z. Zhu* et al., "RingMo: A Remote Sensing Foundation Model With Masked Image Modeling," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-22, 2023, Art no. 5612822, doi: 10.1109/TGRS.2022.3194732.
Z. Zhu, X. Sun, W. Diao, K. Chen, Q. He, G. Xu and K. Fu, "CODet: Component Object Detector Extracting Structural Features Based on Target Characteristics," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5611914, doi: 10.1109/TGRS.2023.3281331.
Z. Zhu, X. Sun, W. Diao, K. Chen, G. Xu and K. Fu, "Invariant Structure Representation for Remote Sensing Object Detection Based on Graph Modeling," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5625217, doi: 10.1109/TGRS.2022.3181686.
Z. Zhu, X. Sun, W. Diao, K. Chen, G. Xu and K. Fu, "AOPDet: Automatic Organized Points Detector for Precisely Localizing Objects in Aerial Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5606816, doi: 10.1109/TGRS.2021.3093557.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA