Zhengyu Ma

EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View Synthesis

Towards Lossless Memory-efficient Training of Spiking Neural Networks via Gradient Checkpointing and Spike Compression

SpikingLLM: Spiking Large Language Models with Causal Spiking Self-Attention and Spike-Form Knowledge Distillation

Winner-Take-All Spiking Transformer for Language Modeling

One-Timestep is Enough: Achieving High-performance ANN-to-SNN Conversion via Scale-and-Fire Neurons

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

S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity

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

Spiking Transformer-CNN for Event-based Object Detection