Haizhou Li

EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models

Neural Dynamics Self-Attention for Spiking Transformers

Positional Encoding for Spiking Transformers

Robust Spiking Neural Networks Against Adversarial Attacks

TP-Spikformer: Token Pruned Spiking Transformer

VGPO: Fine-Tuning Speech Autoregressive Diffusion Models with Value Guided Policy Optimization

EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs

Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling

Bipolar Self-attention for Spiking Transformers

Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks

SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement

S$^2$NN: Sub-bit Spiking Neural Networks

Quantized Spike-driven Transformer

CerebroVoice: A Stereotactic EEG Dataset and Benchmark for Bilingual Brain-to-Speech Synthesis and Activity Detection

Energy-Oriented Alignment for Large Language Models

Roadmap towards Superhuman Speech Understanding using Large Language Models