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Tengjun Liu

2 accepted papers

2026

Pretraining with Re-parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and Tasks

ICLR 2026poster

The emergence of large-scale neural activity datasets provides new opportunities to enhance the generalization of neural decoding models. However, it remains a practical challenge to design neural decoders for fully implantable brain-machine interfaces (iBMIs) that achieve high accuracy, strong gene…

Cited by 0SourcecodeScholar
2023

Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key

AAAI 2023technical

The rapid development of neural network dataset distillation in recent years has provided new ideas in many areas such as continuous learning, neural network architecture search and privacy preservation. Dataset distillation is a very effective method to distill large training datasets into small da…

Cited by 2SourcePDFScholar