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Lu Fang

Associate Professor

Dept. of Electronic Engineering, Tsinghua University



Research direction

Computational Optics with a focus on Imaging and Photonic AI Computing

Education and Experience:

01/2017 - Present, AssociateProfessor,Dept. of EE /TBSI, Tsinghua University

09/2012 - 12/2016,AssociateProfessor,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. 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.

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

3、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.

4、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.

5、T. Zhou#, W. Wu#, J. Zhang, S. Yu,L.FANG*, “Ultrafast Dynamic Machine Vision with Spatiotemporal Photonic Computing”,Science Advances, 2023. (Feature Article)

Research Focus:

The recent developments in computational optics have led to a new definition of a camera, i.e., a ‘smart’ device with computational processing to improve estimation of the physical scenes towards high-performance and high-throughput imaging. Meanwhile, the rapid expansion of ubiquitous edge devices and data centers has led to substantial demands on the bandwidth and efficiency of machine vision, posing urgent need on high-speed and energy-efficient visual computing. We perform multidisciplinary research with a focus on hardware-algorithm co-designed imaging and opto-electronic co-optimized computing, leading to the innovations towards aberration-free computational imaging systems, and large-scale optoelectronic AI chiplets, showing great potential to revolutionize the next-generation photonic machine vision.

Honors & Awards:

2023 Frontiers of Science Award, International Congress of Basic Science (ICBS)

2023 Top 10 significant advances of semiconductor in China

2023 Top 10 significant advances of optics in China

2022 The 17th Science and Technology Award for Chinese Youth

2022 Top 10 significant advances of optics in China

英文名 职称 Associate Professor
院系 Dept. of Electronic Engineering, Tsinghua University 邮箱 fanglu@tsinghua.edu.cn
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其他 www.luvision.net