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微软学者

招收硕博研究生,欢迎联系。

代表论文(第一和/或通讯作者)

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