Yajing Zheng (郑雅菁)
Logo Peking University
Logo University College London

I'm currently working between PKU and UCL, where I explore the exciting field of brain-inspired computing 🧠🤖 — from neural coding and perception to neuromorphic systems and high-speed sensing. I'm particularly interested in building intelligent systems that take inspiration from how the brain sees and acts.

I've led several projects related to neuromorphic cameras and spike-based visual computing 🎥⚡️. I'm very lucky to be mentored by Prof. Tiejun Huang and Prof. Karl Friston, whose guidance continues to shape my thinking💡.

I also serve as a reviewer for conferences and journals such as ICML/ICLR/NeurIPS/ICCV/ECCV/CVPR/TIP and Neural Networks. I'm always open to chatting and collaborating on related topics. Feel free to reach out if you're working in this space — would love to connect! 🤝


Education
  • Peking University
    Peking University
    Ph.D. in Computer Science, supervised by Prof. Tiejun Huang.
    Sep. 2017 - Jul. 2022
  • Sichuan University
    Sichuan University
    B.S. in Computer Science (Everest Program, 珠峰计划)
    Sep. 2013 - Jul. 2017
Experience
  • University College London
    University College London
    Visiting Scholar, colloborate with prof. Karl.
    Jan. 2024 -
  • Peking University (PKU)
    Peking University (PKU)
    Boya Postdoctoral Fellowship, colloborate with prof. Huang.
    Jul. 2022 -
News
2024

Featured in an exclusive interview with leading tech media Jazzyear (甲子光年), where I shared the story behind my project SpikeCV. The article is titled “A Group of Young Researchers from Peking University Are Chasing the Light”. Read more>>

Nov 25

I was awarded the "CCF Doctoral Dissertation Incentive Program 2023" Read more>>

Jan 19
2023

I was awarded as the Outstanding Postdoctoral Fellowship of Peking University 2023.

Dec 31
Established the official website for SpikeCV at https://spikecv.github.io/.
Nov 01

Our open-source project SpikeCV was honored with the Excellent Incubating Open-source Project Award from OpenI, recognizing its impact and innovation in the field of brain-inspired vision. As the team leader, I was also awarded the Outstanding Developer Award for my contributions to the platform and community.

Feb 18
Selected Publications (view all )
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation

Yajing Zheng ✉, Jiyuan Zhang, Zhaofei Yu , Tiejun Huang ( corresponding author)

Advances in Neural Information Processing Systems ( NeurIPS ) 2024

Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation

Yajing Zheng ✉, Jiyuan Zhang, Zhaofei Yu , Tiejun Huang ( corresponding author)

Advances in Neural Information Processing Systems ( NeurIPS ) 2024

Spikereveal: Unlocking temporal sequences from real blurry inputs with spike streams
Spikereveal: Unlocking temporal sequences from real blurry inputs with spike streams

Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng ✉, Tiejun Huang, Zhaofei Yu ( corresponding author)

Advances in Neural Information Processing Systems ( NeurIPS ) 2024 Spotlight

Spikereveal: Unlocking temporal sequences from real blurry inputs with spike streams

Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng ✉, Tiejun Huang, Zhaofei Yu ( corresponding author)

Advances in Neural Information Processing Systems ( NeurIPS ) 2024 Spotlight

Capture the Moment: High-speed Imaging with Spiking Cameras through Short-term Plasticity
Capture the Moment: High-speed Imaging with Spiking Cameras through Short-term Plasticity

Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Song Wang, Tiejun Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

Capture the Moment: High-speed Imaging with Spiking Cameras through Short-term Plasticity

Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Song Wang, Tiejun Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023

All publications