Wei Fang

papers

1,501

total citations

papers (11)

Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks

ICCV 2021arXiv

686

citations

Deep Residual Learning in Spiking Neural Networks

NEURIPS 2021arXiv

685

citations

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

NEURIPS 2023arXiv

citations

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

ICCV 2023arXiv

citations

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

CVPR 2024arXiv

citations

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

NEURIPS 2025arXiv

citations

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks

NEURIPS 2023

citations

Training Spiking Neural Networks with Event-driven Backpropagation

NEURIPS 2022

citations

Wei Fang

papers (11)

Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks

Deep Residual Learning in Spiking Neural Networks

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Differential Coding for Training-Free ANN-to-SNN Conversion

Neuron with Steady Response Leads to Better Generalization

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks

Training Spiking Neural Networks with Event-driven Backpropagation

papers (11)

Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks

Deep Residual Learning in Spiking Neural Networks

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Differential Coding for Training-Free ANN-to-SNN Conversion

Neuron with Steady Response Leads to Better Generalization

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks

Training Spiking Neural Networks with Event-driven Backpropagation