Journal Articles

[1] S. Li, Z. Wang, L. Fang, and Q. Li*, "An Efficient Subspace Partition Method Using Curve Fitting for Hyperspectral Band Selection," IEEE Geoscience and Remote Sensing Letters, Under Review.
[IF=4.8] [SCI 2]

[2] S. Li, Z. Liu, L. Fang, and Q. Li*, "Structural Graph Learning Method for Hyperspectral Band Selection," International Journal of Remote Sensing, Under Review.
[IF=3.4] [SCI 3]

[3] S. Li, S. Wang, and Q. Li*, "Joint Posterior Probability Active Learning for Hyperspectral Image Classification," Remote Sensing, vol. 15, no. 16, pp. 3936, 2023.

[4] Q. Li, Y. Yuan, and Q. Wang, "Multi-scale Factor Joint Learning for Hyperspectral Image Super-Resolution," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-10, 2023.
[IF=8.2] [SCI 1] [Code]

[5] K. Zhuang, Q. Li, Y. Yuan, and Q. Wang, "Multi-domain Adaptation for Motion Deblurring," IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2023.3314154.
[IF=7.3] [SCI 1]

[6] M. Zhang, Q. Li*, Y. Yuan, and Q. Wang, "Difference-Guided Aggregation Network with Multi-image Pixel Contrast for Change Detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023.
[IF=8.2] [SCI 1]

[7] Q. Li, M. Gong, Y. Yuan, and Q. Wang, "RGB-induced Feature Modulation Network for Hyper-spectral Image Super-Resolution," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, 2023.
[IF=8.2] [SCI 1] [Code]

[8] S. Li, Z. Liu, L. Fang, and Q. Li*, "Block Diagonal Representation Learning for Hyperspectral Band Selection," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023.
[IF=8.2] [SCI 1]

[9] S. Li, B. Peng, L. Fang, Q. Zhang, L. Cheng, and Q. Li*, "Hyperspectral Band Selection via Difference Between Intergroups," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-12, 2023.
[IF=8.2] [SCI 1]

[10] M. Zhang, Q. Li, Y. Yuan, and Q. Wang, "Edge Neighborhood Contrastive Learning for Building Change Detection," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.
[IF=4.8] [SCI 2]

[11] Q. Li, Y. Yuan, X. Jia, and Q. Wang, "Dual-Stage Approach Toward Hyperspectral Image Super-Resolution," IEEE Transactions on Image Processing, vol. 31, pp. 7252-7263, 2022.
[IF=10.6] [SCI 1] [Code]

[12] Q. Li, M. Gong, Y. Yuan, and Q. Wang, "Symmetrical Feature Propagation Network for Hyper-spectral Image Super-Resolution," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022.
[IF=8.2] [SCI 1] [Code]

[13] S. Li, B. Peng, L. Fang, and Q. Li*, "Hyperspectral Band Selection via Optimal Combination Strategy," Remote Sensing, vol. 14, no. 12, pp. 2858, 2022.

[14] Y. Liu, Q. Li, Q. Du, Y. Yuan, and Q. Wang, "ABNetnh: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022.
[IF=8.2] [SCI 1] [🏆Highly Cited Paper]

[15] Q. Li, Q. Wang, and Y. Yuan, "Hyperspectral Image Super-Resolution via Multi-domain Feature Learning," Neurocomputing, vol. 472, pp. 85-94, 2022.
[IF=6] [SCI 2]

[16] Y. Wu, K. Zhang, J. Wang, Y. Wang, Q. Wang, and Q. Li, "CDD-Net: A Context-Driven Detection Network for Multiclass Object Detection," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022.
[IF=4.8] [SCI 2]

[17] Q. Li, Q. Wang, and X. Li, "Exploring the Relationship between 2D/3D Convolution for Hyper-spectral Image Super-Resolution," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 10, pp. 8693-8703, 2021.
[IF=8.2] [SCI 1] [Code] [🏆Highly Cited Paper]

[18] Q. Wang, Q. Li, and X. Li, "Hyperspectral Image Superresolution Using Spectrum and Feature Context," IEEE Transactions on Industrial Electronics, vol. 68, no. 11, pp. 11276-11285, 2021.
[IF=7.7] [SCI 1] [Code]

[19] Q. Li, Q. Wang, and X. Li, "Mixed 2D/3D Convolutional Network for Hyperspectral Image Super Resolution," Remote Sensing, vol. 12, no. 10, pp. 1660, 2020.
[Code]

[20] Q. Wang, Q. Li, and X. Li, "A Fast Neighborhood Grouping Method for Hyperspectral Band Selection," IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 6, pp. 5028-5039, 2021.
[IF=8.2] [SCI 1] [Code] [🏆Highly Cited Paper]

[21] Q. Wang, Q. Li, and X. Li, "Hyperspectral Band Selection via Adaptive Subspace Partition Strategy," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 12, pp. 4940-4950, 2019.
[IF=5.5] [SCI 3] [Code]

[22] Q. Li, Q. Wang, and X. Li, "An Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor," Remote Sensing, vol. 11, no. 3, pp. 350, 2019.


Conference Papers

[1] Y. Liu, Q. Li, Y. Yuan, and Q. Wang, "Single-Shot Balanced Detector for Geospatial Object Detection," in Proc. IEEE International Conference on Acoustic, Speech, and Signal Processing, 2022, pp. 2529-2533. (CCF B)

[2] Q. Li, Q. Wang, and X. Li, "Hyperspectral Image Super-Resolution via Multi-Domain Feature Learning," in Proc. IEEE International Geoscience and Remote Sensing Symposium, 2021, pp. 4135-4138.

[3] Q. Li, Q. Wang, and X. Li, "Hyperspectral Image Super-Resolution via Adjacent Spectral Fusion Strategy," in Proc. IEEE International Conference on Acoustic, Speech, and Signal Processing, 2021, pp. 1645-1649. (CCF B)