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researcher

Shuai Wang

14 papers hereh-index 7149 citations23 works total

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

author position
  • first author4
  • middle author9

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.NE4
  • cs.LG3
  • cs.HC1
  • cs.SD1
  • eess.SP1
same name
  • Shuai Wang — 25 papers, h 15
  • Shuai Wang — 22 papers, h 7
  • Shuai Wang — 22 papers, h 9
  • Shuai Wang — 18 papers, h 15
  • Shuai Wang — 17 papers, h 19
  • Shuai Wang — 15 papers, h 25

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 citedSpiking Vision Transformer with Saccadic Attention

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Robust Spiking Neural Networks Against Adversarial Attacks

Shuai Wang, Malu Zhang, Yulin Jiang +7

Spiking Neural Networks (SNNs) represent a promising paradigm for energy-efficient neuromorphic computing due to their bio-plausible and spike-driven characteristics. However, the…

cs.CV2025

S2NN: Sub-bit Spiking Neural Networks

Wenjie Wei, Malu Zhang, Jieyuan Zhang +8

Spiking Neural Networks (SNNs) offer an energy-efficient paradigm for machine intelligence, but their continued scaling poses challenges for resource-limited deployment. Despite re…

cs.CV2025

Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism

Yu Liang, Wenjie Wei, Ammar Belatreche +5

Binary Spiking Neural Networks (BSNNs) inherit the eventdriven paradigm of SNNs, while also adopting the reduced storage burden of binarization techniques. These distinct advantage…

cs.CV2025★ 1 cited

Spiking Vision Transformer with Saccadic Attention

Shuai Wang, Malu Zhang, Dehao Zhang +7

The combination of Spiking Neural Networks (SNNs) and Vision Transformers (ViTs) holds potential for achieving both energy efficiency and high performance, particularly suitable fo…

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