Yang Li

According to our database, Yang Li authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks.

Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng

Neural Comput. Appl., May, 2024

2023

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation.

Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi

Patterns, August, 2023

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections.

Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng

Neural Networks, August, 2023

Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng

CoRR, 2023

Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency.

Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng

CoRR, 2023

Dive into the Power of Neuronal Heterogeneity.

Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng

CoRR, 2023

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer.

Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng

CoRR, 2023

2022

BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons.

Dongcheng Zhao, Yi Zeng, Yang Li

Neural Networks, 2022

Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules.

Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang

Inf. Sci., 2022

An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections.

Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng

CoRR, 2022

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.

Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng

CoRR, 2022

Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization.

Yinqian Sun, Yi Zeng, Yang Li

CoRR, 2022

Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes.

Yang Li, Yi Zeng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning.

Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng

CoRR, 2021

BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons.

Yang Li, Yi Zeng, Dongcheng Zhao

CoRR, 2021