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researcher

Ngai Wong

8 papers hereh-index 6122 citations10 works total

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

author position
  • middle author5
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.SP3
  • cs.CL1
  • cs.LG1
same name
  • Ngai Wong — 15 papers, h 6
  • Ngai Wong — 15 papers, h 6
  • Ngai Wong — 14 papers, h 10
  • Ngai Wong — 13 papers, h 3
  • Ngai Wong — 10 papers, h 5
  • Ngai Wong — 9 papers, h 3

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
20202023
most citedTensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation

29 citations · 34 across the 8 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2023

Overcoming Beam Squint in Dual-Wideband mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach

Le Xu, Lei Cheng, Ngai Wong +2

The beam squint effect, which manifests in different steering matrices in different sub-bands, has been widely considered a challenge in millimeter wave (mmWave) multiinput multi-o…

eess.SP2023

To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion

Le Xu, Lei Cheng, Ngai Wong +1

Tensor train (TT) representation has achieved tremendous success in visual data completion tasks, especially when it is combined with tensor folding. However, folding an image or v…

eess.SP2020★ 29 cited

Tensor Train Factorization and Completion under Noisy Data with Prior Analysis and Rank Estimation

Le Xu, Lei Cheng, Ngai Wong +1

Tensor train (TT) decomposition, a powerful tool for analyzing multidimensional data, exhibits superior performance in many machine learning tasks. However, existing methods for TT…

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