ZHOU TIANKUANG

周天贶

北京理工大学前沿交叉科学院副教授,徐特立学院双聘教师。

研究方向:智能光计算、神经形态计算。

提出了系列大规模智能光计算算法与架构、芯片与系统。

获得中国科学十大进展、科学探索奖、微软学者。

长期招收硕博研究生、博士后、实习生、本科生,欢迎联系。

代表论文(通讯和/或第一作者)

  1. Photonic neuromorphic learning via generalized in situ physical gradient descent Nature Computational Science, 2026
  2. Fully in-memory photonic computing Nature Sensors, 2026
  3. Hundred-layer photonic deep learning Nature Communications, 2025
  4. A complete photonic integrated neuron for nonlinear all-optical computing Nature Computational Science, 2025
  5. Fully forward mode training for optical neural networks Nature, 2024
  6. Nanowatt all-optical 3D perception for mobile robotics Science Advances, 2024
  7. Parallel photonic chip for nanosecond end-to-end image processing, transmission, and reconstruction Optica, 2024
  8. Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence Science, 2024
  9. Ultrafast dynamic machine vision with spatiotemporal photonic computing Science Advances, 2023
  10. Photonic unsupervised learning variational autoencoder for high-throughput and low-latency image transmission Science Advances, 2023
  11. Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit Nature Photonics, 2021
  12. In situ optical backpropagation training of diffractive optical neural networks Photonics Research, 2020
  13. Fourier-space Diffractive Deep Neural Network Physical Review Letters, 2019