Yang Li
Orcid: 0000-0003-0161-9801Affiliations:
- Chinese Academy of Sciences, Institute of Automation, Research Center for Brain-Inspired Intelligence, Beijing, China
- University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
According to our database1,
Yang Li
authored at least 28 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Improving stability and performance of spiking neural networks through enhancing temporal consistency.
Pattern Recognit., 2025
2024
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks.
Neural Comput. Appl., May, 2024
Neural Networks, 2024
Spiking neural networks with consistent mapping relations allow high-accuracy inference.
Inf. Sci., 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision.
CoRR, 2024
CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation.
Patterns, August, 2023
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections.
Neural Networks, August, 2023
Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling.
CoRR, 2023
Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks.
CoRR, 2023
CoRR, 2023
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks.
CoRR, 2023
Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer.
CoRR, 2023
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons.
Neural Networks, 2022
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules.
Inf. Sci., 2022
An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections.
CoRR, 2022
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.
CoRR, 2022
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization.
CoRR, 2022
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022
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.
CoRR, 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons.
CoRR, 2021