About me
More details please have a look at my curriculum vitae from the top menu.
Education
- Ph.D. Candidate, Center for Brain-Inspired Computing Research, Tsinghua University, 9/2020 ~ now.
- 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
Z. Yang$^†$, T. Wang$^†$, Y. Lin$^†$, et. al.,”A Vision Sensor Chip with Complementary Pathways for Open-world Sensing”, Nature, Accepted [paper] [code] [project]
Y. Lin, Y. Hu, S. Ma, D. Yu and G. Li, “Rethinking Pretraining as a Bridge From ANNs to SNNs,” in IEEE Transactions on Neural Networks and Learning Systems, 2022, doi: 10.1109/TNNLS.2022.3217796. [paper] [code]
S. Ma, J. Pei, W. Zhang, G. Wang, D. Feng et. al, Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. 2022, Science Robotics, vol. 7, no. 67, pp. eabk2948. doi:10.1126/scirobotics.abk2948 [paper]
Y. Lin$^†$,J. Sun$^†$, et al., “Spatiotemporal Input Control: Leveraging Temporal Variation in Network Dynamics,” in 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., (2021) ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. Front. Neurosci. 15:726582. doi: 10.3389/fnins.2021.726582 [paper] [code]
Z. Wu, H. Zhang, Y. Lin. et al. LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. 2021, IEEE Transactions on Neural Networks and Learning Systems, 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 2021 (ICCV2021), poster. [paper]
Honors
- 11/2023 Comprehensive first-class scholarship for PhD studentss, THU (Top 10%)
- 11/2023 Scholarship for Excellence in Social Activitiy, THU
- 10/2022 Comprehensive first-class scholarship for PhD studentss, THU (Top 10%)
- 10/2021 Comprehensive second-class scholarship for PhD studentss, THU
- 06/2020 Scholarship for future scholars, THU (Top 3%)
- 06/2020 Outstanding graduates of Beijing
- 06/2020 Outstanding graduates of Tsinghua University (Top 2%)
- 06/2020 Outstanding contribution award for graduates of Department of Precision Instruments, THU
- 10/2019 Award for Excellent Social Activitiy, THU
- 10/2019 XCMG scholarship (one of the top scholarship in THU, Candidate for Tsinghua University Premium Scholarship) (Top 1%)
- 10/2019 Comprehensive Excellence Award, THU
- 12/2018 Second prize of HuaLuoGeng cup mathematical modeling contest of Tsinghua University
- 10/2018 Science and Technology Innovation Excellence Award, THU
- 10/2018 National scholarship (Top 2%)
- 07/2018 Second prize of the 34th national optoelectronic Design Competition
- 10/2017 Social practice Excellence Award, THU
- 10/2017 Volunteer public welfare Excellence Award, THU
- 10/2017 Comprehensive Excellence Award, THU
Working Experience
- 10/2021-now, Intern ISP Algorithm Engineer, Beijing Lynxi tech. co.
- 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
- Artificial Intelligence for BI-VIS
- Tool-chain for high-speed VIS
Other experiences
- Be invited to be reviewer of TNNLS, IJCNN, Scientific Reports, and Frontiers in Neurorobotics,