About me

I am currently employed as a Tenure-Track Assistant Professor at Pen-Tung Sah institute of Micro-Nano Science and Technology, Xiamen University. My research focuses on brain-inspired vision and brain-inspired computing, with representative works including the Tianmouc chip and the [TianmouCV] project. I welcome collaborations—please feel free to contact me.

Education & Working Experience

• 7/2025 – now, Tenure-Track Assistant Professor, Xiamen University.
• Ph.D., Center for Brain-Inspired Computing Research, Tsinghua University, 9/2020 ~ 6/2025.
• Undergraduate student (B.E. degree), Major in Instruments Science and Technology, Department of Precision Instrument, Tsinghua University, 9/2016 ~ 7/2020.
• Minor Degree in CS, Department of Computer Science and Technology, Tsinghua University, 9/2018 ~ 7/2020.

Publications

_{Author-role notation: † denotes (co-)first author, # denotes (co-)corresponding author.}

1. Y. Lin^†, Y. Chen, et al., Brain-inspired visual sensing–perception for open-world environments, Nature Sensors, 2026 (Cover Article), doi: 10.1038/s44460-026-00095-3.
   [Paper]

2. Y. Lin^†,#, Y. Meng, X. Chen, A unified calibration framework and synthesis methodology for high dynamic range imaging with complementary vision sensors, Measurement, 2026, 122562, doi: 10.1016/j.measurement.2026.122562.
   [Paper]

3. …, Y. Lin^#, R. Zhao^#, ACMMM 2026 (accepted, CCF-A).

4. Y. Meng, L. Yang, …, Y. Lin^#, R. Zhao^#, Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor, CVPR 2026 (CCF-A).

5. Y. Meng^†, Y. Lin^†, et. al., Diffusion-Based Extreme High-speed Scenes Reconstruction with the Complementary Vision Sensor, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 5701-5710.
   [Paper] [Code]

6. Y. Lin^†, Z. Zhang^† et. al., Complementary-pathway Spatial-enhanced Visual Odometry for Extreme Environments with Brain-inspired Vision Sensors, IROS 2025.
   [Paper] [Code]

7. Z. Yang^†, T. Wang^†, Y. Lin^†, et. al., A vision chip with complementary pathways for open-world sensing, Nature 629, 1027–1033 (2024) (Cover Article).
   [Paper] [Code] [Project]

8. L. He^†, Y. Xu^†, W. He^†, Y. Lin^†. et al., Network model with internal complexity bridges artificial intelligence and neuroscience, Nature Computational Science (2024).
   [Paper] [Code]

9. Y. Lin, Y. Hu, S. Ma, D. Yu and G. Li, Rethinking Pretraining as a Bridge From ANNs to SNNs, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, doi: 10.1109/TNNLS.2022.3217796.
   [Paper] [Code]

10. Y. Lin^†, J. Sun^†, et. al., Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 4, pp. 635-651, April 2022, doi: 10.1109/JAS.2022.105455.
    [Paper] [Code]

11. Y. Lin, W. Ding, S. Qiang, et al., ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks, Frontiers in Neuroscience, 15:726582. doi: 10.3389/fnins.2021.726582.
    [Paper] [Code]

Other Publications

1. Z. Wu, H. Zhang, Y. Lin. et al., LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, PP(99):1-14.
   [Paper] [Code]

2. M. Yao, H. Gao, G. Zhao, D. Wang, Y. Lin, et al., Temporal-wise Attention Spiking Neural Networks for Event Streams Classification, IEEE International Conference on Computer Vision (ICCV), 2021, poster.
   [Paper]

3. S. Ma, J. Pei, W. Zhang, G. Wang, D. Feng et. al, Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots, Science Robotics, 2022, vol. 7, no. 67, pp. eabk2948. doi:10.1126/scirobotics.abk2948.
   [Paper]

Honors

• 12/2025 High-Level Talent of Fujian Province (Class C)
• 06/2025 Outstanding Introduced Assistant Professor of Xiamen University (Class A)
• 06/2025 Outstanding Graduate of Beijing
• 06/2025 Outstanding Doctoral Dissertation of Tsinghua University
• 06/2025 Outstanding graduate of Tsinghua University
• 11/2024 National scholarship, (Top 2%)
• 10/2024 Zheng Lianfa Scholarship, Fujian Provincial Labour Committee
• 08/2024 First-class Scholarship of China Instrumentation Society, CIS
• 06/2020 Outstanding graduates of Beijing
• 06/2020 Outstanding graduates of Tsinghua University (Top 2%)
• 10/2018 National scholarship (Top 2%)

SE Project

• TianMouCV
• Tsinghua-style student
• Java Netdisk

Research Interest

• Spiking Neuron Networks
• Complex System Control
• Low Level Computer Vision
• Brain inspired Intelligence
• Tool-chain for high-speed complementary vision sensor

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