Linghao Feng — accepted AI-conference papers

2025

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking

Sicheng Shen, Dongcheng Zhao, Linghao Feng, Zeyang Yue, Jindong Li, Tenglong Li +2

NeurIPS 2025poster

Spiking Transformers have recently emerged as promising architectures for combining the efficiency of spiking neural networks with the representational power of self-attention. However, the lack of standardized implementations, evaluation pipelines, and consistent design choices has hindered fair co…

Cited by 0 Source ↗code ↗Scholar ↗

2024

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction

Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang +2

NeurIPS 2024poster

Decoding non-invasive brain recordings is pivotal for advancing our understanding of human cognition but faces challenges due to individual differences and complex neural signal representations. Traditional methods often require customized models and extensive trials, lacking interpretability in vis…

Cited by 3 Source ↗PDF ↗Scholar ↗