Research direction：

Computational Optics with a focus on Imaging and Photonic AI Computing

Education and Experience：

06/2024 - Present, Professor, Dept. of EE, Tsinghua University

01/2017 - 05/2024, Associate Professor,Dept. of EE /TBSI, Tsinghua University

09/2012 - 12/2016, Associate Professor,Dept. of EE, Univ. of Sci. and Tech. of China

09/2011 - 08/2012, Postdoc.,Dept. of ECE, Hong Kong Univ. of Science and Technology

09/2007 - 08/2011, Ph.D.,Dept. of ECE, Hong Kong Univ. of Science and Technology

09/2003 - 07/2007, B.Eng.,Dept. of EE,Univ. of Science and Technology of China

Representative Publications in past 3 years (# co-first author, *corresponding author)：

1、Z. Yao#, S. Liu#, Y. Wang#, X. Yuan, L. FANG*.Integrated lithium niobate photonics for sub-ångström snapshot spectroscopy,Nature, 646, 567–575. 2025.

2、Z. Xu^#, T. Zhou^#, M. Ma, C. Deng, Q. Dai*,L. FANG*.Large-scale photonic chiplets Taichi empowers 160 TOPS/W artificial general intelligence.Science, 2024, 384 (6692), 202-209. 2024.

3、Z. Xue^#, T. Zhou^#, Z. Xu, S. Yu, Q. Dai*,L. FANG*.Fully forward mode training for optical neural networks.Nature, 2024.

4、Y. Chen^#, M. Nazhamaiti^#, H. Xu^#, Y. Meng, T. Zhou, G. Li, J. Fan, Q. Wei, J. Wu*, F. Qiao*,L. FANG*,and Q. Dai*. All-analog photoelectronic chip for high-speed vision tasks.Nature, 2023, 623 (7985), 48-57.

5、J. Wu^#, Y. Guo^#, C. Deng^#, A. Zhang, H. Qiao, Z. Lu, J. Xie,L. FANG*,and Q. Dai*; An integrated imaging sensor for aberration-corrected 3D photography,Nature, 612: 62-71, 2022.

Research Focus：

Dr. Fang leads a multidisciplinary research group working at the intersection of physical optics and artificial intelligence, aiming to push the frontiers of next-generation imaging and photonic computing.

Honors & Awards：

2025 The Falling Walls Science Breakthrough of the Year 2025

2024 Top 10 Scientific Advances in China