Dongcheng Zhao
Orcid: 0000-0002-0593-8650
According to our database1,
Dongcheng Zhao
authored at least 46 papers
between 2016 and 2024.
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Bibliography
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
Inf. Sci., October, 2023
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization.
IEEE Trans. Very Large Scale Integr. Syst., August, 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
CoRR, 2023
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network with a Spatiotemporal FPGA Accelerator.
CoRR, 2023
Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks.
CoRR, 2023
CoRR, 2023
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency.
CoRR, 2023
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future.
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
CoRR, 2023
FireFly: A High-Throughput and Reconfigurable Hardware Accelerator for Spiking Neural Networks.
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
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks.
Patterns, 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
Proceedings of the International Conference on Service Science, 2022
The Processing Method of the Message Based on the In-band Network Telemetry Technology.
Proceedings of the International Conference on Service Science, 2022
2021
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning.
CoRR, 2021
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks.
CoRR, 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons.
CoRR, 2021
Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks.
Clust. Comput., 2021
2020
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity.
Frontiers Comput. Neurosci., 2020
2019
Future Gener. Comput. Syst., 2019
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
IEEE Trans. Serv. Comput., 2018
Future Gener. Comput. Syst., 2018
IEEE Access, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 2nd International Conference on Internet of Things, 2017
2016
Future Gener. Comput. Syst., 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016