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Zhaofei Yu

20 papers hereh-index 8259 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author10

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.NE14
  • cs.CV4
  • cs.LG2
same name
  • Zhaofei Yu — 28 papers, h 33
  • Zhaofei Yu — 20 papers, h 12
  • Zhaofei Yu — 4 papers, h 2
  • Zhaofei Yu — 3 papers, h 2
  • Zhaofei Yu — 3 papers, h 1
  • Zhaofei Yu — 3 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedSpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks

2 citations · 4 across the 18 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

SpikeOcc: Towards Resilient Multimodal 3D Occupancy Perception via Spiking Experts

Yiding Sun, Zijie Xu, Hongqiang Lin +7

Multimodal 3D occupancy prediction underpins safe autonomous driving through comprehensive scene understanding. However, existing methods have largely pursued higher accuracy throu…

cs.CV2026

Brain-Inspired Multimodal Spiking Neural Network for Image-Text Retrieval

Xintao Zong, Xian Zhong, Wenxuan Liu +3

Spiking neural networks (SNNs) have recently shown strong potential in unimodal visual and textual tasks, yet building a directly trained, low-energy, and high-performance SNN for…

cs.CV2025★ 1 cited

Differential Coding for Training-Free ANN-to-SNN Conversion

Zihan Huang, Wei Fang, Tong Bu +6

Spiking Neural Networks (SNNs) exhibit significant potential due to their low energy consumption. Converting Artificial Neural Networks (ANNs) to SNNs is an efficient way to achiev…

cs.CV2025

Towards High-performance Spiking Transformers from ANN to SNN Conversion

Zihan Huang, Xinyu Shi, Zecheng Hao +4

Spiking neural networks (SNNs) show great potential due to their energy efficiency, fast processing capabilities, and robustness. There are two main approaches to constructing SNNs…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.