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Yiwen Gu

2 accepted papers

2026

Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion

ICML 2026poster

Spiking Neural Networks (SNNs) emulate the spiking behavior of biological neurons and are promising for energy-efficient neuromorphic computing. A widely used strategy to train SNNs is to convert pretrained Artificial Neural Networks (ANNs), where the accuracy and efficiency are determined by the sp…

Cited by 0SourceScholar
2023

Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval

EMNLP 2023long findings

Article comprehension is an important challenge in natural language processing with many applications such as article generation or image-to-article retrieval. Prior work typically encodes all tokens in articles uniformly using pretrained language models. However, in many applications, such as under…

Cited by 0SourcecodeScholar