I’m a Ph.D student in MILab, PKU.

I’m interested in:

• Image Restoration

• Computational imaging

• Spike Neural Network

• AI System

Publication

2024

• “Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips” poster on ICLR 2024

Spike-driven Transformer V2: Meta Spiking Neural Network...

Neuromorphic computing, which exploits Spiking Neural Networks (SNNs) on neuromorphic chips, is a promising energy-efficient alternative to traditional AI. CNN-based SNNs are the current mainstream...

https://openreview.net/forum?id=1SIBN5Xyw7

2023

• “Inherent Redundancy in Spiking Neural Networks” poster on ICCV 2023

ICCV 2023 Open Access Repository

https://openaccess.thecvf.com/content/ICCV2023/html/Yao_Inherent_Redundancy_in_Spiking_Neural_Networks_ICCV_2023_paper.html

• “Spike-driven Transformer” poster on NeurIPS 2023

Spike-driven Transformer

Spiking Neural Networks (SNNs) provide an energy-efficient deep learning option due to their unique spike-based event-driven (i.e., spike-driven) paradigm. In this paper, we incorporate the...

https://openreview.net/forum?id=9FmolyOHi5

2022

• ”The R-L algorithm: an approximation algorithm for fractal signals based on fractal calculus“

R-L ALGORITHM: AN APPROXIMATION ALGORITHM FOR FRACTAL SIGNALS BASED ON FRACTIONAL CALCULUS

An important characteristic of a fractal signal is that its graph is not smooth in any small interval. This indicates the difficulty of the approximation of fractal signals, because traditional approximation methods normally require some certain smoothness of the approximated function.

https://doi.org/10.1142/S0218348X21502431

Contribution

• Apache TVM:

• OneFlow and its components: