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邸江磊 Di Jianglei 教授 职称：教授 所属学院：信息工程学院 导师类别：博士生/硕士生导师 科研方向：智能光学信息处理，计算光学成像 联系方式：13571922304，jiangleidi@gdut.edu.cn 博士招生学院：信息工程学院 硕士招生学院：信息工程学院 |
个人简述：
邸江磊，广东工业大学“百人计划”特聘教授，博士生导师。主持国家重点研发计划项目课题、国家自然科学基金面上项目/NSAF联合基金项目、航空科学基金、国防单位委托课题等项目20余项，在国内外学术期刊发表论文120余篇，获授权国家发明专利26项。主要研究方向：
（1）智能光学信息处理
结合信息光学与深度学习、强化学习等技术，开展智能光学信息处理研究，利用人工智能技术辅助解决合成孔径成像、激光相干合成、大气湍流校正、多光谱信息处理等领域中的传统光学信息处理问题。
（2）计算光学成像
开展基于深度学习的计算光学成像新方法研究，包括散射介质成像、水下成像、稀疏角度层析成像、多模态信息融合等；面向复杂物理场（湍流场、冲击波场、等离子场、火焰场等）的折射率（或速度、密度、浓度、温度等）分布的高灵敏度动态可视化表征需要，开展数字全息干涉术及数字全息显微术的相关研究。
ResearchGate主页：https://www.researchgate.net/profile/Jianglei_Di
学科领域：
科学学位：信息与通信工程（0810）、光学工程（0803）等
专业学位：电子信息（0854）等
学术兼职：
1. 中国光学学会全息与光信息处理专业委员会 常务委员；
2. 中国光学工程学会计算成像专业委员会 专业委员；
3. 中国仪器仪表学会图像科学与工程分会 理事；
4. IEEE Senior Member；
5. OSA，SPIE Member；
6. 中国光学学会，中国光学工程学会，中国仪器仪表学会 会员。
近三年发表的主要论文：
1. X. Gao, T. Huang, P. Tang, J. Di, L. Zhong, W. Zhang*, Enhancing scanning electron microscopy imaging quality of weakly conductive samples through unsupervised learning, Scientific Reports 14 (1):6439 (2024).
2. J. Xie, J. Dou, L. Zhong, J. Di*, Y. Qin, A Dual-Mode Intensity and Polarized Imaging System for Assisting Autonomous Driving, IEEE Transactions on Instrumentation and Measurement 73:5010013 (2024).
3. 陈建明, 李定鲣, 曾祥津, 任振波, 邸江磊*, 秦玉文*, 一种跨模态光学信息交互和模板动态更新的目标跟踪方法, 光学学报, 44(7):0715001 (2024).
4. Y. Wang, H. Wang, S. Liu, T. Huang, W. Zhang, J. Di, J. Rosen, X. Lu, L. Zhong*, Unsupervised Deep Learning Enables 3D Imaging for Single-Shot Incoherent Holography, Laser & Photonics Reviews, 2301091 (2024).
5. 祁家琴, 郑文慧, 江文隽, 谭贵元, 钟丽云, 邸江磊*, 吴小龑, 刘国栋, 秦玉文, 一种激光相干合成系统中基于自适应随机扰动电压的SPGD优化算法, 激光与光电子学进展, 61(15): 1514004 (2024).
6. C. Zhou, Y. Liu, X. Han, X. Xing, J. Di, L. Zhong, X. Lu*, A spatial carrier dynamic quantitative differential phase imaging method, Optics & Laser Technology 171:110425 (2024).
7. L. Yang, J. Yang, T. Huang, J. Li, Q. Zhang, J. Di, L. Zhong*, Optical 3D information encryption and rapid decryption via interferenceless coded aperture correlation holography, Optics & Laser Technology 169:110096 (2024).
8. K. Wang*, L. Song, C. Wang, Z. Ren, G. Zhao, J. Dou, J. Di, G. Barbastathis, R. Zhou, J. Zhao*, E. Lam*, On the use of deep learning for phase recovery, Light: Science & Applications 13:4 (2024).
9. J. Lin, J. Li, J. Dou, L. Zhong, J. Di, Y. Qin, Dual-Domain Reconstruction Network Incorporating Multi-Level Wavelet Transform and Recurrent Convolution for Sparse View Computed Tomography Imaging, Tomography 10(1):133-158 (2024).
10. X. Zhang, N. Cai, H. Zhang, Y. Zhang*, J. Di, W. Lin, AFD-former: A Hybrid Transformer with Asymmetric Flow Division for Synthesized View Quality Enhancement, IEEE Transactions on Circuits and Systems for Video Technology 33(8):3786-3798 (2023).
11. J. Zhang, J. Tang, J. Zuo, J. Wu, K. Li, J. Zhang, Z. Ren, J. Dou, J. Di, J. Zhao*, Rapid quantitative measurement of internal ultrasonic field in acousto-optic modulator via off-axis digital holography, Optics and Lasers in Engineering 171:107793 (2023).
12. Y. Wang, H. Wang, C. Zhou, X. Han, S. Liu, X. Lu, J. Di, L. Zhong*, Real-time phase imaging with physics-enhanced network and equivariance, Optics Letters 48(10):2732-2735 (2023).
13. J. Tang, J. Zhang, S. Zhang, S. Mao, Z. Ren*, J. Di*, J. Zhao*, Phase aberration compensation via a self-supervised sparse constraint network in digital holographic microscopy, Optics and Lasers in Engineering 168:107671 (2023).
14. J. Tang, J. Zhang, Z. Ren, J. Di, X. Wu, J. Zhao, Single-shot image restoration via a model-enhanced network with unpaired supervision in an optical sparse aperture system, Optics Letters 48(18):4849-4852 (2023).
15. J. Tang, J. Wu, J. Zhang, M. Zhang, Z. Ren*, J. Di*, L. Hu, G. Liu, J. Zhao*, Highly robust spatiotemporal wavefront prediction with a mixed graph neural network in adaptive optics, Photonics Research 11(11): 1802-1813 (2023).
16. H. Qiu, X. Liu, K. Wang, J. Dou*, J. Di*, Y. Qin, Real-time phase measurement of optical vortex via digital holography, Frontiers in Physics 11:1190616 (2023).
17. K. Liu, Z. Ren*, X. Wu, J. Di, J. Zhao, SSG-Net: A Robust Network for Adaptive Multi-Source Image Registration Based on SuperGlue, Digital Signal Processing 140:104128 (2023).
18. J. Liu, M. Zhang, L. Zhang*, J. Di, J. Zhao, M. Gao, Y. Sun, Study on heat and mass transfer distance of water-film evaporation in limited space using dual-wavelength digital holographic interference, Experimental Thermal and Fluid Science 144:110816 (2023).
19. J. Li, C. Li, Q. Zhang, B. Wu, T. Liu, X. Lu, J. Di, L. Zhong*, Multi-wavelength network: Predicted-illumination for phase unwrapping in quantitative phase imaging, Optics & Laser Technology 167:109781 (2023).
20. T. Huang, Q. Zhang, J. Li, X. Lu, J. Di, L. Zhong*, Y. Qin, Single-shot Fresnel incoherent correlation holography via deep learning based phase-shifting technology, Optics Express 31(8): 12349-12356 (2023).
21. 邸江磊*，林俊成，钟丽云，钱克矛*，秦玉文*，基于深度学习的稀疏或有限角度CT重建方法研究综述（封底文章，特邀综述），激光与光电子学进展，60(8):0811002 (2023).
22. H. Qiu, X. Liu, K. Wang, J. Dou*, J. Di*, Y. Qin, Real-time phase measurement of optical vortex via digital holography, Frontiers in Physics, 11:1190616 (2023).
23. J Tang, J Zhang, S Zhang, S Mao, Z Ren*, J Di*, J Zhao*, Phase aberration compensation via a self-supervised sparse constraint network in digital holographic microscopy, Optics and Lasers in Engineering, 168:107671 (2023).
24. K. Liu, Z. Ren*, X. Wu, J. Di, J. Zhao, SSG-Net: A Robust Network for Adaptive Multi-Source Image Registration Based on SuperGlue, Digital Signal Processing, 140:104128 (2023).
25. J. Liu, M. Zhang, L. Zhang*, J. Di, J. Zhao, M. Gao, Y. Sun, Study on heat and mass transfer distance of water-film evaporation in limited space using dual-wavelength digital holographic interference, Experimental Thermal and Fluid Science, 144:110816 (2023).
26. Y. Wang, H. Wang, C. Zhou, X. Han, S. Liu, X. Lu, J. Di, L. Zhong*, Real-time phase imaging with physics-enhanced network and equivariance, Optics Letters, 48(10):2732-2735 (2023).
27. T. Huang, Q. Zhang, J. Li, X. Lu, J. Di, L. Zhong*, Y. Qin, Single-shot Fresnel incoherent correlation holography via deep learning based phase-shifting technology, Optics Express 31(8): 12349-12356 (2023).
28. 谢俊，邸江磊*，秦玉文*，深度学习在水下成像技术中的应用，光子学报，51(11): 1101001 (2022).（封面文章，特邀综述）
29. 陈建明，曾祥津，钟丽云，邸江磊*，秦玉文*，基于深度学习的图像配准方法研究进展，量子电子学报， 39(6): 899-926 (2022).（特邀综述）
30. K. Wang, Q. Kemao*, J. Di*, J. Zhao*，Deep learning spatial phase unwrapping: a comparative review, Advanced Photonics Nexus, 2022, 1(1): 014001.
31. W. Jiang, J. Wu, C. Chen, J. Chen, X. Zeng, L. Zhong, J. Di*, X. Wu*, Y. Qin, Registration of multi-modal images under a complex background combining multiscale features extraction and semantic segmentation, Optics Express, 30(20): 35596-35607 (2022).
32. J. Tang, J. Zhang, J. Dou, J. Zhang, J. Di*, J. Zhao*, Comparison of common-path off-axis digital holography and transport of intensity equation in quantitative phase measurement, Optics and Lasers in Engineering, 157:107126 (2022).
33. J. Tang, J. Zhang, J. Wu, J. Di*, J. Zhao*, Coherent noise suppression of single-shot digital holographic phase via an untrained self-supervised network [Invited], Frontiers in Photonics, 3: 907847 (2022).
34. J. Dou, C. Ma, K. Wang, J. Di, J. Zhang*, J. Zhao*, Light-field focusing and modulation through scattering media based on dual-polarization-encoded digital optical phase conjugation, Optics Letters, 47 (11), 2738-2741 (2022).
35. J. Wu, J. Tang, J. Zhang, J. Di*, Coherent noise suppression in digital holographic microscopy based on label-free deep learning, Frontiers in Physics, 10:880403 (2022).
36. M. Zhang, J. Liu, J. Dou, J. Zhang, L. Zhang, J. Di*, J. Zhao*, Simultaneous measurement of near-water-film air temperature and humidity fields based on dual-wavelength digital holographic interferometry, Optics Express, 30(10): 17278-17289 (2022).
37. J. Tan, W. Su, Z. He*, N. Huang, J. Di, L. Zhong, Y. Bai, B. Dong, S. Xie, Deep learning-based method for non-uniform motion-induced error reduction in dynamic microscopic 3D shape measurement, Optics Express, 30(14): 24245-24260 (2022).
38. J. Tang, J. Wu, J. Zhang, Z. Ren, J. Di*, J. Zhao, Single-Shot Diffraction Autofocusing: Distance Prediction via an Untrained Physics-Enhanced Network, IEEE Photonics Journal, 14(1): 5207106(2022).
39. S. Dai, J. Mi, J. Dou, H. Lu, C. Dong, L. Ren, R. Zhao, W. Shi, N. Zhang, Y. Zhou, J. Zhang*, J. Di*, J. Zhao*, microscopy for characterizing cell-substrate interactions under noninvasive optical force stimuli, Biosensors and Bioelectronics, 26: 114131(2022).
40. S. Dai, J. Mi, J. Dou, T. Yu, M. Zhang, J. Di, J. Zhang*, J. Zhao*, Dual-wavelength surface plasmon resonance holographic microscopy for simultaneous measurements of cell adhesion gap and cytoplasm refractive index, Optics Letters, 47(9): 2306-2309(2022).
41. J. Dou, C. Dong, S. Dai, J. Mi, X. Luo, J. Di, J. Zhang*, J. Zhao*, High-resolution surface plasmon resonance holographic microscopy based on symmetrical excitation, Optics and Lasers in Engineering, 153(17): 107000(2022).
42. J. Wu, J. Tang, M. Zhang, J. Di*, L. Hu, X. Wu, G. Liu, J. Zhao*, PredictionNet: a long short-term memory-based attention network for atmospheric turbulence prediction in adaptive optics, Applied Optics, 61(13): 3687-3694(2022).
43. J. Zhang, S. Dai, C. Ma, T. Xi, J. Di*, J. Zhao*, A review of common-path off-axis digital holography: towards high stable optical instrument manufacturing, Light: Advanced Manufacturing, 2: 23(2021).
44. 柯宝生，李颖，任振波，邸江磊*，赵建林*，基于深度学习的活体细胞有丝分裂检测方法，光学学报，41(15): 1511001(2021).
45. S. Wang, N. Zhang, J. Di, W. Zhao, G. Shi, R. Xie, B. Hu, H. Yang*, Analysis of the effects of magnetic levitation to simulate microgravity environment on the Arp2/3 complex pathway in macrophage, Journal of Biological Physics, 47, 323-335(2021).
46. J. Tang, Z. Ren, X. Wu, J. Di*, G. Liu, J. Zhao*, Object-independent tilt detection for optical sparse aperture system with large-scale piston error via deep convolution neural network, Optics Express, 29(25): 41670-41684(2021).
47. 邸江磊*，唐雎，吴计，王凯强，张蒙蒙，赵建林*，卷积神经网络在光学信息处理中的应用研究进展，激光与光电子学进展，58(16): 1600001 (2021).（封面文章，特邀综述）
48. S. Dai, T. Yu, J. Zhang, H. Lu, J. Dou, M. Zhang, C. Dong, J. Di* and J. Zhao*, Real-time and wide-field mapping of cell-substrate adhesion gap and its evolution via surface plasmon resonance holographic microscopy, Biosensors and Bioelectronics, 174: 112826 (2021).
49. K. Wang, M. Zhang, J. Tang, L. Wang, L. Hu, X. Wu, W. Li, J. Di, G. Liu, J. Zhao*, Deep learning wavefront sensing and aberration correction in atmospheric turbulence, PhotoniX, (1): 1-11 (2021).
50. J. Tang, J. Wu, K. Wang, Z. Ren, X. Wu, L. Hu, J. Di*, G. Liu*, J. Zhao*, "RestoreNet-Plus: Image restoration via deep learning in optical synthetic aperture imaging system," Optics and Lasers in Engineering 146, 106707 (2021).
51. Y. Li, J. Di*, L. Ren, J. Zhao*, "Deep-learning-based prediction of living cells mitosis via quantitative phase microscopy," Chinese Optics Letters 19 (5), 051701 (2021).
52. J. Dou, S. Dai, C. Dong, J. Zhang, J. Di*, J. Zhao*, "Dual-channel illumination surface plasmon resonance holographic microscopy for resolution improvement," Optics Letters 46 (7), 1604-1607 (2021).
53. J. Di*, J. Wu, K. Wang, J. Tang, Y. Li, J. Zhao*, "Quantitative phase imaging using deep learning-based holographic microscope," Frontiers in Physics 9, 113 (2021).
54. J. Tang, K. Wang, Z. Ren, W. Zhang, X. Wu, J. Di*, G. Liu*, J. Zhao*, "RestoreNet: a deep learning framework for image restoration in optical synthetic aperture imaging system," Optics and Lasers in Engineering 139, 106463 (2021).
55. J. Di*, W. Han, S. Liu, K. Wang, J. Tang, and J. Zhao*, "Sparse-view imaging of a fiber internal structure in holographic diffraction tomography via a convolutional neural network," Applied Optics 60(4): A234-A242 (2021).
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近五年授权的发明专利：
1. 邸江磊，王凯强，李颖，豆嘉真，戴思清，赵建林， 一种基于深度学习的全息重建算法，专利号：ZL201910000496.5；
2. 邸江磊，豆嘉真，王凯强，赵建林， 一种基于渥拉斯顿棱镜的测量样品偏振态的方法与系统，专利号：ZL201711154680.2；
3. 邸江磊，王凯强，豆嘉真，赵建林， 一种基于偏振分光棱镜的测量样品偏振态的方法与系统，专利号：ZL201711154502.X；
4. 邸江磊，唐雎，吴计，韩文宣，许星星，张佳伟，赵建林，一种基于深度学习的复杂流场测量方法与系统，专利号：ZL202110506788.3；
5. 张维，张继巍，邸江磊，赵建林，一种基于温度控制的自动变焦薄膜液体透镜及制备方法，专利号：ZL202010733528.5；
6. 邸江磊，王凯强，李颖，豆嘉真，戴思清，席特立，赵建林，一种基于深度学习的相位显微成像方法，专利号：ZL201910000530.9；
7. 赵建林，张继巍，戴思清，邸江磊，一种具有亚纳米分辨率的薄膜厚度分布测量方法，中国发明专利，专利号：ZL201710613735.5；
8. 赵建林，张继巍，戴思清，邸江磊，一种用于表面等离子体共振成像的数字全息记录方法，中国发明专利，专利号：ZL201710614343.0；
9. 钟丽云，季以诺，李承颖，高欣，朱伟乐，邸江磊，秦玉文，基于卷积注意力机制的细胞凋亡计数方法、系统及平台，专利号：ZL202211628940.6；
10. 吴小龑，刘国栋，唐雎，邸江磊，任振波，胡流森，赵建林，基于光学合成孔径成像的图像复原处理方法，专利号:ZL202110308146.2。
近五年主持的科研项目：
1. 国家重点研发计划项目课题，2021YFB2900903，超低时延、超大连接、安全可信的工业无源光网络架构与系统研究及应用示范，2021/12-2024/11，主持；
2. 国家自然科学基金面上项目，62075183，基于深度学习的数字全息显微成像方法研究，2021/01-2024/12，主持；
3. 国家自然科学基金NSAF联合基金，U1730137，光学元件亚表面残余应力三维分布测量方法研究，2018/01-2020/12，主持；
4. 中国工程物理研究院流体物理研究所， XXX相干合成系统，2024/01-2024/12，主持；
5. 中国空空导弹研究院，XXX验证，2022/01-2022/12，主持；
6. 中国人民解放军XXX部队，XXX研制，2022/06-2022/12，主持；
7. 中国工程物理研究院激光聚变研究中心，XXX检测系统，2021/01-2021/12，主持；
8. 国家自然科学基金国家重大科研仪器研制项目，61927810，面向多参量动态测量的宽场无标记表面等离子体共振全息显微镜，2020/01-2024/12，参与；
9. 中国载人航天工程空间站实验舱流体物理实验柜项目，空间数字全息干涉仪，2014/01-2022/12，参与。
教学活动：
1. 教育部高等教育司产学合作协同育人项目，人工智能课程体系建设，2023/01-2023/12，主持。
我的团队：
隶属于广东工业大学先进光子技术研究院，团队专注光纤通信、光纤传感、计算光学成像、光电检测及器件等方面的研究工作。
联系方式：
指导学生参加大学生创新创业项目，并在全国各类科技竞赛多次获奖，推荐优秀学生赴欧美等高校访学深造，推荐学生赴国防院所和广深相关企业实习锻炼。感兴趣同学请联系：
