Introduction

I am a PhD student at the Institute of Automation, Chinese Academy of Sciences. My primary research focuses on Brain-inspired Intelligence, Spiking Neural Networks (SNNs), and Neuromorphic data processing. I have also been exploring research in the fields of Artificial Intelligence Model and Large Language Model (LLMs) security. During my doctoral studies, my main interest has been in unsupervised learning in Brain-inspired systems.

I have published papers in journals such as PNAS, Scientific Data, iScience, Patterns, Pattern Recognition, Neural Networks and IEEE TAI. My work has also been presented at AI conferences, including NeurIPS and AAAI.

For more information, feel free to contact me via email at dongyiting2020@ia.ac.cn.

News

EventZoom Accepted by AAAI-2025

EventZoom proposes a data augmentation method for event data that effectively enhances the model's generalization ability in event data training by maintaining temporal continuity and spatial integrity. Under supervised, semi-supervised, and unsupervised experiments, EventZoom consistently achieves better performance. Read more on arXiv.