林星 - 清华大学 - 电子工程系

个人简介

从事光子计算芯片、光电智能计算、计算成像领域研究，在国际期刊与顶级会议上发表论文40余篇，包括Science、Science Advances、Nature Photonics等，被引3000余次，已授权国内外发明专利10余项。为Nature等顶级期刊与会议审稿人，IEEE JSTQE期刊编委。获MIT TR35亚太创新35人、Al华人青年学者、中国电子学会科技进步一等奖等荣誉。教育经历 2010.1-2015.1 清华大学自动化系博士学位博士研究生毕业 2012.1-2013.1 美国麻省理工学院媒体实验室访问学生 2006.1-2010.1 西安电子科技大学电子工程学院学士学位大学本科毕业工作经历 2021.1-至今清华大学电子工程系助理教授 2019.1 - 2021.1 北京-清华未来芯片技术高精尖创新中心特聘研究员 2017.1 - 2019.1 加州大学洛杉矶分校电气与计算机工程系博士后 2015.1 - 2017.1 斯坦福大学霍华德休斯研究院博士后

研究领域

光子计算芯片及应用：研发大规模光子计算芯片，探索光电融合集成方法和芯片架构，实现计算性能的大幅度提升，应用于前沿科技领域光电智能计算与光学人工智能：构建光学人工神经网络与深度学习系统，研究光学智能系统的可重构机制与训练方法，实现大规模数据的高效智能处理衍射光计算与衍射光学神经网络：解决大规模衍射智能光计算中模型优化、谱分复用、三维集成等关键技术问题，提升衍射光计算信息处理通量与计算性能

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhengyang Duan, Hang Chen, Xing Lin Optical multi-task learning using multi-wavelength diffractive deep neural networks Nanophotonics, January 16, (2023) Yun Zhao, Hang Chen, Min Lin, Haiou Zhang, Tao Yan, Ruqi Huang, Xing Lin, Qionghai Dai Optical Neural Ordinary Differential Equations Optics Letters, Vol. 48, Issue 3, (2023) 628-631 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 Science Advances 15 Feb Vol 9, Issue 7 (2023) Xing Lin, Sheng Gao, Yi Gao, Zhengyang Duan Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence. (chapter: Artificial intelligence accelerator using photonic computing) Elsevier, ISBN-10:0323857965, (2022) 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 Optics and Lasers in Engineering, no. 159 (2022) Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, Xing Lin Dual adaptive training of photonic neural networks arXiv preprint arXiv:2212.06141(2022) Tao Yan, Rui Yang, Ziyang Zheng, Xing Lin, Hongkai Xiong, Qionghai Dai All-optical graph representation learning using integrated diffractive photonic computing units Science Advances 8 eabn7630 (2022) Xing Lin Artificial intelligence built on wireless signals Nature Electronics 5.2 (2022): 69-70 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 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, no.10 (2020), 2688-2691 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 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 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 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 Xing Lin, Jiamin Wu, Guoan Zheng, and Qionghai Dai Camera array based light field microscopy Biomedical Optics Express 6, no. 9 (2015): 3179-3189 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 In Proceedings of the IEEE International Conference on Computational Photography, pp. 1-9. IEEE, 2013