Selected Publications
Sheng Gao, Hang Chen, Yichen Wang, Zhengyang Duan, Haiou Zhang, Zhi Sun, Yuan Shen, Xing Lin
Super-resolution diffractive neural network for all-optical direction of arrival estimation beyond diffraction limits
Ze Wang, Hang Chen, Jianan Li, Tingfa Xu, Zejia Zhao, Zhengyang Duan, Sheng Gao, Xing Lin
Opto-intelligence spectrometer using diffractive neural networks
Tao Yan, Maoqi Zhang, Hang Chen, Sen Wan, Kaifeng Shang, Haiou Zhang, Xun Cao, Xing Lin, Qionghai Dai
EEG Opto-processor: epileptic seizure detection using diffractive photonic computing units
Gao, Sheng, Chu Wu, and Xing Lin
Demixing microwave signals using system-on-chip photonic processor
Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, Xing Lin
Dual adaptive training of photonic neural networks
Zhengyang Duan, Hang Chen, Xing Lin
Optical multi-task learning using multi-wavelength diffractive deep neural networks
Yitong Chen,Tiankuang Zhou,Jiamin Wu,Hui Qiao,Xing Lin,Lu Fang, and Qionghai Dai
Photonic unsupervised learning variational autoencoder for high-throughput and low-latency image transmission
Yun Zhao, Hang Chen, Min Lin, Haiou Zhang, Tao Yan, Ruqi Huang, Xing Lin, Qionghai Dai
Optical Neural Ordinary Differential Equations
Xing Lin, Sheng Gao, Yi Gao, Zhengyang Duan
Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence. (chapter: Artificial intelligence accelerator using photonic computing)
Shuai Liu, Peng Li, Hao Sha, Jiuyang Dong, Yue Huang, Yanjing Zhao, Xuri Yao, Qin Peng, Xiu Li, Xing Lin, Yongbing Zhang
Intensity and phase imaging through scattering media via deep despeckle complex neural networks
Tao Yan, Rui Yang, Ziyang Zheng, Xing Lin, Hongkai Xiong, Qionghai Dai
All-optical graph representation learning using integrated diffractive photonic computing units
Xing Lin
Artificial intelligence built on wireless signals
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
Hongkun Dou, Yue Deng, Tao Yan, Huaqiang Wu, Xing Lin, Qionghai Dai
Residual D2NN: training diffractive deep neural networks via learnable light shortcuts
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
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
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
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
Xing Lin, Jiamin Wu, Guoan Zheng, and Qionghai Dai
Camera array based light field microscopy
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):1-11
Xing Lin, Jinli Suo, Gordon Wetzstein, Qionghai Dai, and Ramesh Raskar
Coded focal stack photography
