一、期刊论文
[1] Z Li, S Cao, S Lv, et al., Hierarchical Feature Integration Network for Bi-Temporal Remote Sensing Change Detection Under Complex Environmental Conditions, IEEE Trans. Geosci. & Remote Sens., doi: 10.1109/TGRS.2026.3713935.
[2] Y Rong, J Luo, A Wang, et al., DMLNet: Differential Saliency with Multi-Domain Learning Network for Moving Infrared Small Target Detection, IEEE Geosci. Remote. Sens. Lett., vol. 23, pp. 1-5, 2026. doi: 10.1109/LGRS.2026.3708839
[3] Y Huang , Q Qin, A Mao，et al., FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Moving Infrared Small Target Detection[J], Remote Sens., 2026,18(12),2042.
[4] C Hu, M Zhou, S Yuan, et al., STGBD-Net: Spatio-temporal Gradient Basis Decomposition Network for Infrared Small Target Detection[J], IEEE Trans. Geosci. & Remote Sens., vol. 64, pp. 1-14, 2026, Art no. 5006714. doi: 10.1109/TGRS.2026.3701189
[5] F Wu, Y Dai, T Zhang, et al., RPCANet ++ : Deep Interpretable Robust PCA for Sparse Object Segmentation[J]， IEEE Trans. Pattern Anal. Mach. Intell.，2026. doi: 10.1109/TPAMI.2026.3697815
[6] W. I. M. Hussin, Z. Lu, A. Ashraf, et al., EdgeRefNet: An Edge-Guided Refinement Network for Building Change Detection in Remote Sensing Images[J], IEEE Trans. Geosci. & Remote Sens., vol. 64, pp. 1-10, 2026, doi: 10.1109/TGRS.2026.3689397.
[7] X Qiu, J Luo, W Tian, et al., Local-Motion Mamba with Frequency-Guided for Moving Infrared Small Target Detection[J], IEEE Geosci. Remote. Sens. Lett., vol. 23, pp. 1-5, 2026, Art no. 6003905, doi: 10.1109/LGRS.2026.3654371.
[8] F Wu, S Chen, S Liu, et al., A Comprehensive Benchmark for Spatiotemporal Tensor-Based Infrared Small Target Detection[J], IEEE Trans. Geosci. & Remote Sens., vol. 64, pp. 1-20, 2026, Art no. 5000820, doi: 10.1109/TGRS.2026.3651631.
[9] 邓佳坤, 尹益卓, 张彦博, 等. 结合图表示学习和多特征融合的红外小目标检测[J]. 电子科技大学学报, 2026, 55(1): 100-108.
[10] C Jiang, T Tang, J Shi, et al., Research on Thermal Effect Iinduced by Focal Spot on The Wall of The Square Beam Propagation Channel and Its Mitigation[J], Optics & Laser Technology, vol. 193, Part B, 2026, 114309, doi: https://doi.org/10.1016/j.optlastec.2025.114309 .
[11] F. Wu, S. Liu, H. Wang, et al., Neural Spatial- Temporal Tensor Representation for Infrared Small Target Detection[J], Pattern Recognition, 2026,169,111929, doi: 10.1016/j.patcog.2025.111929.
[12] Z Cao, H Long, Z Liang, et al., Calibration Method for Event-Based Structured Light Systems Using Frequency Information[J], Measurement, Vol. 257, Part A, 2026, 118507. doi: https://doi.org/10.1016/j.measurement.2025.118507
二、会议论文
[1] J Hu, T Bai, F Wu, et al., ExpAlign: Expectation-Guided Vision-Language Alignment for Open-Vocabulary Grounding[C]，Proceedings of Forty-Third International Conference on Machine Learning (ICML 2026), Seoul, South Korea, July 6-11, 2026.
[2] J Hu, T Bai, F Wu, et al., Pyramid Sparse Transformer: Efficient Multi-Scale Feature Fusion with Dynamic Token Selection, 2026 IEEE International Conference on Multimedia and Expo(ICME 2026), Bangkok, Thailand, July 5-9, 2026.
[3] Aysha Ashraf, Shaina Ashraf, W. I. M. Hussin, Ali Haider, Zhenming Peng. Structured Prompt-Guided Vision-Language Models for Remote Sensing Change Captioning [C]. Proceedings of the 9th International Conference on Artificial Intelligence and Big Data (ICAIBD 2026), Chengdu, China, May 29–31, 2026.
[4] Ali Haider, Aysha Ashraf, Han Guo, Zhenming Peng. Training-Driven Multi-Scale Optimization for Lightweight Remote Sensing Object Detection [C]. Proceedings of the 9th International Conference on Artificial Intelligence and Big Data (ICAIBD 2026), Chengdu, China, May 29–31, 2026.
[5] H Hu, C Hu, A Mao, et al. FIRST-Net: few frame-guided spatio-temporal deep unfolding networks for infrared small target detection(C), Proc. SPIE 14241, Fifth International Conference on Electronic Information Engineering and Data Processing (EIEDP 2026), 142410X (13 May 2026); https://doi.org/10.1117/12.3114768