Liutao Yu

According to our database, Liutao Yu authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.

Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Honghai Liu, Min Zhang, Zhengyu Ma, Zhiguo Zhang

Neural Networks, 2026

Spikingformer: A Key Foundation Model for Spiking Neural Networks.

Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition.

Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhiguo Zhang, Zhengyu Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024

Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.

Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Min Zhang, Zhengyu Ma, Zhiguo Zhang

CoRR, 2024

Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics.

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

CoRR, 2024

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.

Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2024

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.

Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian

CoRR, 2024

QKFormer: Hierarchical Spiking Transformer using Q-K Attention.

Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian

Proceedings of the Advances in Neural Information Processing Systems 37: 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.

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

Proceedings of the Advances in Neural Information Processing Systems 37: 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.

Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian

CoRR, 2023

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network.

Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2023

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse.

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

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.

Yanghao Wang, Liutao Yu, Si Wu, Ru Huang, Yuchao Yang

Adv. Intell. Syst., 2020