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W. Mow

4 papers hereh-index 304.1k citations249 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT2
  • cs.HC1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedEfficient Active Deep Decoding of Linear Codes using Importance Sampling

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

cs.IT2026★ 2 cited

Efficient Active Deep Decoding of Linear Codes using Importance Sampling

Hassan Noghrei, Mohammad-Reza Sadeghi, Wai Ho Mow

The quality and quantity of data used for training greatly influence the performance and effectiveness of deep learning models. In the context of error correction, it is essential…

eess.SP2026

OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers

Anbang Zhang, Chenyuan Feng, Wai Ho Mow +4

The rapid deployment of mega-constellations is driving the long-term vision of space data centers (SDCs), where interconnected satellites form in-orbit distributed computing and le…

cs.IT2025

Non-Orthogonal Pilot Sequence Design for Multi-Cells Interference Networks

Zhi Gu, Wai Ho Mow

In wireless communications, the performance of non-orthogonal sequence sets significantly affects the level of multi-user interference when the number of users surpasses the sequen…

cs.HC2025

TrainBo: An Interactive Robot-assisted Scenario Training System for Older Adults with Dementia

Kwong Chiu Fung, Wai Ho Mow

Dementia is an overall decline in memory and cognitive skills severe enough to reduce an elders ability to perform everyday activities. There is an increasing need for accessible t…

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