Selected Publications


  • Xing Lin, Yair Rivenson, Nezih T. Yardimci, Muhammed Veli, Yi Luo, Mona Jarrahi, and Aydogan Ozcan. "All-optical machine learning using diffractive deep neural networks." Science 361, no. 6406 (2018): 1004-1008. (IF: 41.8, Covered by 34 presses as the breakthrough research, including Discover Magazine, TechCrunch, The Scientist, ESI Highly Cited Papers)

  • Tiankuang Zhou, Xing Lin*, Jiamin Wu, Yitong Chen, Hao Xie, Yipeng Li, Jintao Fan, Huaqiang Wu, Lu Fang*, Qionghai Dai*. "Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit." Nature Photonics 15, no. 5 (2021): 367-373.(*Corresponding author, IF: 31.2, Cover Page Article)

  • Tao Yan, Jiamin Wu, Tiankuang Zhou, Hao Xie, Lu Fang, Feng Xu, Jingtao Fan, Xing Lin*, and Qionghai Dai*. "Fourier-space Diffractive Deep Neural Network." Physical Review Letters 123, no.2 (2019): 023901. (*Corresponding author)


  • Tiankuang Zhou, Lu Fang, Tao Yan, Jiamin Wu, Yipeng Li, Jintao Fan, Huaqiang Wu, Xing Lin*, and Qionghai Dai*. "In situ optical backpropagation training of diffractive optical neural networks." Photonics Research 8, no.6 (2020): 940-953. (*Corresponding author, OSA Spotlight on Optics, Top Download Article)

  • Hongkun Dou, Yue Deng, Tao Yan, Huaqiang Wu, Xing Lin*, Qionghai Dai*. "Residual D2NN: training diffractive deep neural networks via learnable light shortcuts." Optics Letters 45 (10), 2688-2691(*Corresponding author,Spotlight in CVPR CCD Workshop 2020)

  • Xing Lin, Jiamin Wu, Guoan Zheng, and Qionghai Dai. "Camera array based light field microscopy." Biomedical Optics Express 6, no. 9 (2015): 3179-3189. (Cover Page Article; Top Download Article)

  • Xing Lin, Yebin Liu, Jiamin Wu, and Qionghai Dai. "Spatial-spectral encoded compressive hyperspectral imaging." ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia) 33, no. 6 (2014): 233. (CCF Class A, Oral Presentation)


  • Xing Lin, Jinli Suo, and Qionghai Dai. "Extracting depth and radiance from a defocused video pair." IEEE Transactions on Circuits and Systems for Video Technology 25, no. 4 (2015): 557-569.


  • Xing Lin, Gordon Wetzstein, Yebin Liu, and Qionghai Dai. "Dual-coded compressive hyperspectral imaging." Optics Letters 39, no. 7 (2014): 2044-2047.


  • Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan, Qionghai Dai, Lawrence Carin, and David J. Brady. "Computational snapshot multispectral cameras: Toward dynamic capture of the spectral world." IEEE Signal Processing Magazine 33, no. 5 (2016): 95-108.


  • Yichen Wu, Yair Rivenson, Yibo Zhang, Zhensong Wei, Harun Günaydin, Xing Lin, and Aydogan Ozcan. "Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery." Optica 5, no. 6 (2018): 704-710. (ESI Highly Cited Papers)

  • Yang Tan, Haitian Zheng, Yinheng Zhu, Xiaoyun Yuan, Xing Lin, David Brady, Lu Fang. "CrossNet++: Cross-scale Large-parallax Warping for Reference-based Super-resolution." IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)


  • Jiamin Wu, Bo Xiong, Xing Lin, Jijun He, Jinli Suo, and Qionghai Dai. "Snapshot hyperspectral volumetric microscopy." Scientific Reports (Nature Publishing Group) 6 (2016): 24624.


  • Xinyang Li, Guoxun Zhang, Hui Qiao, Feng Bao, Yue Deng, Jiamin Wu, Yangfan He, Jingping Yun, Xing Lin, Hao Xie, Haoqian Wang & Qionghai Dai. "Unsupervised content-preserving transformation for optical microscopy." Light: Science & Applications (Nature Publishing Group) 10, no. 1 (2021): 1-11.


  • *Jiamin Wu, *Xing Lin, Yebin Liu, Jinli Suo, and Qionghai Dai. "Coded aperture pair for quantitative phase imaging." Optics Letters 39, no. 19 (2014): 5776-5779. (*Co-first Author; Selected for the Virtual Journal for Biomedical Optics)


  • Xuemei Hu, Yue Deng, Xing Lin, Jinli Suo, Qionghai Dai, Christopher Barsi, and Ramesh Raskar. "Robust and accurate transient light transport decomposition via convolutional sparse coding." Optics Letters 39, no. 11 (2014): 3177-3180.


  • Yichen Wu, Ayfer Calis, Yi Luo, Cheng Chen, Maxwell Lutton, Yair Rivenson, Xing Lin, Hatice Ceylan Koydemir, Yibo Zhang, Hongda Wang, Zoltán Göröcs, and Aydogan Ozcan. "Label-free bio-aerosol sensing using mobile microscopy and deep learning." ACS Photonics (2018).



  • Xing Lin, Jinli Suo, Gordon Wetzstein, Qionghai Dai, and Ramesh Raskar. "Coded focal stack photography." In Proceedings of the IEEE International Conference on Computational Photography, pp. 1-9. IEEE, 2013. (Oral Presentation)


  • Xing Lin, Yair Rivenson, Nezih T. Yardimci, Muhammed Veli, Yi Luo, Mona Jarrahi, and Aydogan Ozcan. "Deep Learning-designed Diffractive Neural Networks." In Proceedings of the Conference on Lasers and Electro-Optics. Optical Society of America, 2019. (Oral Presentation)


  • Chenguang Ma, Xing Lin, Jinli Suo, Qionghai Dai, and Gordon Wetzstein. "Transparent object reconstruction via coded transport of intensity." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3238-3245. 2014. (Oral Presentation, Accept Rate: 5.75%)


  • Mingjie Zhang, Xing Lin, Mohit Gupta, Jinli Suo, and Qionghai Dai. "Recovering scene geometry under wavy fluid via distortion and defocus analysis." In European Conference on Computer Vision, pp. 234-250. Springer, Cham, 2014.


  • Jianing Zhang, Tianyi Zhu, Anke Zhang, Xiaoyun Yuan, Zihan Wang, Sebastian Beetschen, Lan Xu, Xing Lin, Qionghai Dai, Lu Fang. "Multiscale-VR: Multiscale Gigapixel 3D Panoramic Videography for Virtual Reality." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-12, 2020.


  • Chaosheng Han, Xing Lin, Jingyu Lin, Chenggang Yan, and Qionghai Dai. "Explore spatial-temporal relations: transient super-resolution with PMD sensors." In Optoelectronic Imaging and Multimedia Technology III, vol. 9273, p. 927338. International Society for Optics and Photonics, 2014. (Best Paper Award)


  • Yan, Tao, Jiamin Wu, Tiankuang Zhou, Hao Xie, Feng Xu, Jingtao Fan, Lu Fang, Xing Lin, and Qionghai Dai. "Saliency Segmentation with Fourier-Space Diffractive Deep Neural Networks." In 2020 Conference on Lasers and Electro-Optics (CLEO), pp. 1-2. IEEE, 2020. . (Oral Presentation)