Gang Pan

Professor@Zhejiang University·中国·OpenReview

研究方向

neuromorphic vision · brain-computer interfaces · brain-machine interfaces · spiking neural networks · neuromorphic computing · brain-inspired intelligence

Gang Pan

Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning

Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding

Reducing Semantic Mismatch in Brain-to-Text Decoding Through Personalized Multimodal Masking

SILA: Enhancing Long-Context Retrieval Capability of Linear Attention via Selective Ignoring

An Efficient Structural Pruning for Spiking Neural Networks by Balancing Accuracy and Sparsification

Spiking Neuron as Discrete Gating for Long-Term Memory Tasks

Spiking Neural Network with Mixture of Heterogeneous Enhancement Experts for Robust Underwater Object Detection

Dynamical Latent Flow Matching for High-Performance Few-Shot Neural Adaptation

Unlocking Long-Term Dependencies in Spiking Neural Networks with a Recurrent LIF Memory Module

Multi-Modal Spiking Neural Network for Efficient and Robust Underwater Object Detection

Wavelet-Guided Attention Network for Spiking Image Reconstruction

Efficient ANN-SNN Conversion with Error Compensation Learning

SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding

Neural-Driven Image Editing

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization

TS-SNN: Temporal Shift Module for Spiking Neural Networks

MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras

Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics

Consistent Neural Embeddings through Flow Matching on Attractor-like Neural Manifolds

Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency

BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications

Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting

Stabilized Neural Dynamics for Behavioral Decoding via Hierarchical Domain Adaptation

Training High Performance Spiking Neural Network by Temporal Model Calibration

How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?

Jointly Optimizing Wirelength and Thermal Fields for Chip Placement