姓名：柯钧 职称：副教授 导师类型：博士导师、硕士导师 团队名称： 邮箱：jke@bit.edu.cn

研究领域

主要研究领域为：光电成像、计算成像、红外及高速成像、超分辨率成像、压缩感知、单像素成像、人工智能算法研究等

教育经历

2010年5月：美国亚利桑那大学电子与计算机工程专业 博士学位

2002年8月：美国普渡大学数学专业 硕士学位

1999年7月：电子科技大学信号与信息处理专业 硕士学位

1996年7月：电子科技大学图像传输与处理专业 学士学位

工作经历

2012年2月– 今：北京理工大学光电学院 副教授

2010年5月– 2012年2月：香港大学电子电机工程系 博士后

学术成果（部分发表的文章）

1. 参与撰写出版专著《Optical Compressive Sensing》（2016，CRC Press）

2. Boyu Yang, Yusen Liao and Jun Ke*，Reconstruction of moving small targets through scattering media: A hierarchical network approach integrating event information，Optics and Lasers in Engineering 189，2025.

3. Xiaowen Hao, Dingaoyu Zhao and Jun Ke*，Multiple CR Spatiotemporal Compressive Imaging System，Sensors，25, 2025.

4. Xiaxu Chen, Duixu Mao and Jun Ke*，Real-world super-resolution with VLM-based degradation prior learning，Scientific Reports，15，2025.

5. Jingwen Lei, Xu Ma*, Xianhong Zhao, Zhen Fang, Xiaowen Hao, Junyao Zhao, and Jun Ke*, Super-resolution infrared compressive imaging based on a high-order physical model, Chinese Optics Express, 23(11), 2025.

6. Yin Cheng, Yusen Liao and Jun Ke*, Turbulence-Resilient Object Classification in Remote Sensing Using a Single-Pixel Image-Free Approach, Sensors, 25, 2025.

7. Yin Cheng , Jun Ke *, and Yusen Liao, Single Pixel Optical Encryption in Atmospheric Turbulence, IEEE Photonics Technology Letters, 37(18), 2025.

8. Duixu Mao, Xiaxu Chen, Linhan Xu, and Jun Ke*, Infrared Tiny Structureless Object Detection Enhanced by Video Super-Resolution, IEEE ACCESS, 13,2025.

9. Yusen Liao, Yin Cheng and Jun Ke*, Dual-Task Learning for Long-Range Classification in Single-Pixel Imaging Under Atmospheric Turbulence, Electronics,14, 2025.

10. Xiaotian Li, Yetong Hu, Zilong Zhang*, Zhijian Zhang, Zehou Yang, Dingfu Zhou, Wei He, Yuqi Wang, Yunfei Ma, Jun Ke, and Changming Zhao, High-resolution compressive 3D imaging through phase ranging with a single-pixel photodetector, Optics Letters, 50(3), 2025.

11. Gangping Liu, Shuaijun Zhou, Xiaxu Chen, Wenjie Yue, and Jun Ke*, Recurrent Large Kernel Attention Network for Efficient Single Infrared Image Super-Resolution, IEEE ACCESS, 12, 2024.

12. Jingwen Lei, Xu Ma*, and Jun Ke, Freeform-surface-based optical design of a broadband compressive spectral imager withco-aperture coding, Applied Optics，63(23), 2024.

13. 王霞*，马旭*，柯钧*, 贺思，郝晓文，雷景文，马凯, 散斑及压缩计算成像研究进展, 光学学报，2024.

14. Duo Jin, Zhenxu Bai*, Yifu Chen, Wenqiang Fan, Jun Ke, Yulei Wang, Zhiwei Lü, Richard P. Mildren，A narrow-linewidth high-power fused silica Brillouin laser，Appl. Phys. Lett. 123, 2023.

15. Linxia Zhang, Edmund Y. Lam, and Jun Ke*，Temporal compressive imaging reconstruction based on a 3D-CNN network, Optics Express, 30(3), 2022.

16. Can Cui and Jun Ke*, Spatial compressive imaging deep learning framework using joint input of multi-frame measurements and degraded maps, Optics Express, 30(2), 2022.

17. Gangping Liu and Jun Ke*, Full-waveform LiDAR echo decomposition basedon dense and residual neural networks, Applied Optics, 61(9), 2022.

18. Gangping Liu and Jun Ke*, End-to-End Full-Waveform Echo Decomposition Based on Self-Attention Classification and U-Net Decomposition, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2022.

19. Can Cui and Jun Ke*, Meta-TR: Meta-Attention Spatial Compressive Imaging Network With Swin Transformer, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2022

20. Jun Ke*, Tatiana Alieva, Figen S, Oktem, Paulo E. X. Silveira, Gordon Wetzstein and Florian Willomitzer, Computational optical sensing and imaging 2021: feature issue introduction, Optics Express, 30(7), 2022.

21. Linxia Zhang, Jun Ke*, Sheng Chi, Xiaowen Hao, Tong Yang, AND Dewen Cheng, High-resolution fast mid-wave infrared compressive imaging, Optics Letters, 46(10), 2021.

22. Jun Ke*, Linxia Zhang，Qun Zhou, and Edmund Y. Lam, Broad dual-band temporal compressive imaging with optical calibration, Optics Express, 29(4), 2021.

23. Dewen Cheng, Hailong Chen, Tong Yang, Jun Ke, Yang Li, and Yongtian Wang, Optical design of a compact and high-transmittance compressive sensing imaging system enabled by freeform optics, Chinese Optics Letters, 19(11), 2021.

24. 柯钧*，张临夏，周群，压缩感知在光学成像领域的应用综述，光学学报，2020.

25. Zhou Qun，Jun Ke*，Edmund Y. Lam，Near-infrared temporal compressive imaging for video，Optics Letters, 44(7), 2019.

26. Jun Ke*，Edmund Y. Lam， Fast compressive measurements acquisition using optimized binary sensing matrices for low-light-level imaging，Optics Express，24(9）, 2016.

27. Jun Ke*，Edmund Y. Lam，Object reconstruction in block-based compressive imaging，Optics Express，20(20), 2012.

28. Jun Ke，Edmund Y. Lam，Image reconstruction from nonuniformly spaced samples in spectral-domain optical coherence tomography，Biomedical Optics Express，3(4), 2012.

29. Zhimin Xu，Jun Ke，Edmund Y. Lam，High-resolution lightfield photography using two masks，Optics Express, 20(10), 2012.

30. Jun Ke，Ting-Chung Poon，Edmund Y. Lam，Depth resolution enhancement in optical scanning holography with a dual-wavelength laser source，Applied Optics, 50(34), 2011.

31. Jun Ke , Amit Ashok，Mark A. Neifeld，Block-wise motion detection using compressive imaging system，Optics Communications，284(5), 2011.

32. Mark A. Neifeld，Jun Ke*，Optical architectures for compressive imaging，Applied Optics，46(22), 2007.

教学工作

主讲《光电技术基础与实验》（本科）,《数字视频与实时图像处理技术》（研究生）,《（英）计算光学传感与成像理论》（全英文研究生）课程

社会兼职

1. 担任Sensors2024年计算光学感应与成像特刊主编，Optics Express & Applied Optics2021年COSI(Computational Optical Sensing and Imaging)特刊主编，2019年COSI特刊编委。
2. 担任国际计算成像会议“单光子/单像素/量子成像”分会2025年共主席，2021及2022年“单像素成像与单光子成像”分会会议委员，国际会议COSI(Computational Optical Sensing and Imaging)会议2021年General Chair，2019年及2020年Program Chair。国际会议Computational Imaging 2018~2020，SOLAR2011~2014，IS2012，SRS2014组委会成员
3. OSA高级会员，光学工程学会高级会员，IEEE、SPIE、及中国光学学会会员。IEEE, JOSA，Applied Optics, Optics Letters, Optics Express 等国际期刊审稿人。