Liutao Yu
According to our database1,
Liutao Yu
authored at least 10 papers
between 2020 and 2024.
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Bibliography
2024
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.
CoRR, 2024
Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics.
CoRR, 2024
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.
CoRR, 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation.
CoRR, 2023
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network.
CoRR, 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2020
Memristor-Based Biologically Plausible Memory Based on Discrete and Continuous Attractor Networks for Neuromorphic Systems.
Adv. Intell. Syst., 2020