• 遥感（Remote Sensing）

• 计算机视觉（Computer Vision）

• 生成式人工智能（Generative AI）

期刊论文

1. K. Chi, Q. Li, J. Chu, J. Li, and Q. Wang*, “Deep Reinforcement Learning for Lunar Polar Low-Light Enhancement,” IEEE Transactions on Multimedia (T-MM), vol. 28, pp. 5203-5215, 2026. [PDF]

2. K. Chi, W. Jing, J. Li, Q. Li, and Q. Wang*, “Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal,” IEEE Transactions on Multimedia (T-MM), vol. 28, pp. 813-824, 2026. [PDF]

3. K. Chi, J. Chu, J. Li, Q. Li, and Q. Wang*, “Remote Sensing Imagery Shadow Detection via Physical Constraint,” Pattern Recognition (PR), vol. 179, pp. 113535, 2026. [PDF]

4. X. Liu, Y. Zhao*, Y. Chen*, K. Chi, X. Li, and W. Jia, “Multicolor Attribute Information Fusion for Real-World Underwater Image Enhancement,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 64, pp. 1-14, 2026. [PDF]

5. Y. Li, T. Fan, Y. Zhang, X. Yang, J. Xu*, and K. Chi, “FDWD-Net: Feature-Decoupled and Window-Differentiated Network for Remote Sensing Image Super-Resolution,” Remote Sensing, vol. 18, no. 9, pp. 1316, 2026. [PDF]

6. K. Chi, S. Guo, J. Chu, Q. Li, and Q. Wang*, “RSMamba: Biologically Plausible Retinex-Based Mamba for Remote Sensing Shadow Removal,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 63, pp. 1-10, 2025. [PDF]

7. K. Chi, J. Li, J. Chu, Q. Li, and Q. Wang*, “A Diffusion Model with Physically Plausible Gradient for Remote Sensing Shadow Removal,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 63, pp. 1-11, 2025. [PDF]

8. K. Chi and Q. Li*, “Underwater Image Enhancement via Color Constraints and Transmission-Guided Modeling,” Pattern Recognition (PR), vol. 168, pp. 111840, 2025. [PDF]

9. W. Jing, K. Chi, Q. Li, and Q. Wang*, “ChangeRD: A Registration-Integrated Change Detection Framework for Unaligned Remote Sensing Images,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 220, pp. 64-74, 2025. [PDF]

10. J. Li, K. Chi, Y. Chang, and Q. Wang*, “DFG-DDM: Deep Frequency-Guided Denoising Diffusion Model for Remote Sensing Image Dehazing,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 63, pp. 1-12, 2025. [PDF]

11. J. Chu, K. Chi, and Q. Wang*, “RMMamba: Randomized Mamba for Remote Sensing Shadow Removal,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 63, pp. 1-10, 2025. [PDF]

12. M. Liu*, K. Chi, and C. You, “DAH-TrafficRSNet: Dual-Branch Traffic Remote Sensing Image Dehazing Network Based on Atmospheric Scattering Model and Hierarchical Feature Interaction,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 25325-25337, 2025. [PDF]

13. K. Chi, J. Li, W. Jing, Q. Li, and Q. Wang*, “Neural Implicit Fourier Transform for Remote Sensing Shadow Removal,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 62, pp. 1-10, 2024. [PDF]

14. Q. Wang*, K. Chi, W. Jing, and Y. Yuan*, “Recreating Brightness From Remote Sensing Shadow Appearance,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 62, pp. 1-11, 2024. [PDF]

15. W. Jing, K. Chi, Q. Li, and Q. Wang*, “3-D Neighborhood Cross Differencing: A New Paradigm Serves Remote Sensing Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 62, pp. 1-11, 2024. [PDF]

16. X. Liu, Y. Zhao*, K. Chi, Z. Zhang, Y. Chen*, and W. Jia, “Towards Individual Tone Preference in Underwater Image Enhancement,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 62, pp. 1-11, 2024. [PDF]

17. Q. Wang*, W. Jing, K. Chi, and Y. Yuan, “Cross-Difference Semantic Consistency Network for Semantic Change Detection,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 62, pp. 1-12, 2024. [PDF]

18. Y. Li, J. Xie, K. Chi, Y. Zhang, and Y. Dong*, “Feature Intensification Using Perception-Guided Regional Classification for Remote Sensing Image Super-Resolution,” Remote Sensing, vol. 16, no. 22, pp. 4201, 2024. [PDF]

19. K. Chi, Y. Yuan, and Q. Wang*, “Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 61, pp. 1-14, 2023. [PDF]

20. X. Liu, S. Lin*, K. Chi, Z. Tao, and Y. Zhao, “Boths: Super Lightweight Network-Enabled Underwater Image Enhancement,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), vol. 20, pp. 1-5, 2023. [PDF]

21. S. Lin, K. Chi*, T. Wei, and Z. Tao, “Underwater Image Sharpening Based on Structure Restoration and Texture Enhancement,” Applied Optics, vol. 60, no. 15, pp. 4443-4454, 2021. [PDF]

[更多文章]

• 2026年：中国图学学会优秀博士学位论文激励计划

• 2025年：中国科协青年科技人才培育工程博士生专项计划

学术兼职

• Journal of Graphics 编辑助理

• Remote Sensing 客座编辑

• Machine Learning and Knowledge Extraction 客座编辑

• IEEE International Conference on Big Data and Data Mining（BDDM）Workshop 主席

• IEEE International Conference on Information Systems and Computing Technology（ISCTech）Workshop 主席

期刊审稿

• IEEE T-GRS、IEEE T-CSVT、IEEE T-ITS、IEEE T-MM、ISPRS、PR 等