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
- 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
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]Y. Lin$^†$, Z. Zhang$^†$ et. al., Complementary-pathway Spatial-enhanced Visual Odometry for Extreme Environments with Brain-inspired Vision Sensors, IROS 2025.
[Paper] [Code]Z. Yang$^†$, T. Wang$^†$, Y. Lin$^†$, et. al., A vision chip with complementary pathways for open-world sensing, Nature 629, 1027–1033 (2024).
[Paper] [Code] [Project]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]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]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]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
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]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]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%)
Working Experience
- 7/2025- now, TTAP, Xiamen University,
- 06/2023-08/2023, Intern CV Algorithm Engineer, Yealink Co.
Blogs
- A Brief Introduction to Neuromorphic Processors
- The history of Spiking Neural Network
- Note of signal and system course
SE Project
Research Interest
- Spiking Neuron Networks
- Complex System Control
- Low Level Computer Vision
- Brain inspired Intelligence
- Tool-chain for high-speed complementary vision sensor
Other experiences
- Be invited to be reviewer of TNNLS, IJCNN, and Frontiers in Neurorobotics,