Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.
CoRR, March, 2025
A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics.
IEEE Trans. Instrum. Meas., 2024
Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation.
IEEE Signal Process. Lett., 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.
Pattern Recognit., October, 2023
Reducing Information Loss for Spiking Neural Networks.
CoRR, 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Membrane Potential Batch Normalization for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
IM-Loss: Information Maximization Loss for Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
Reducing Information Loss for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Modelling and Analysis of the Cerebrospinal Fluid Flow in the Spinal Cord.
Proceedings of the Advanced Computational Methods in Life System Modeling and Simulation, 2017