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M. Ng

4 papers hereh-index 8300 citations27 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.LG2
  • cs.CV1
  • eess.IV1
same name
  • M. Ng — 15 papers, h 12
  • M. Ng — 12 papers, h 2
  • M. Ng — 3 papers, h 3
  • M. Ng — 2 papers, h 3
  • M. Ng — 1 paper, h 0
  • M. Ng — 1 paper, h 1

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

collaborators

4 papers

eess.IV2025

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image

Bowen Hu, Weiheng Yao, Sibo Qiao +3

In minimally-invasive brain surgeries with indirect and narrow operating environments, 3D brain reconstruction is crucial. However, as requirements of accuracy for some new minimal…

cs.LG2025

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks

Yihang Gao, Michael K. Ng, Vincent Y. F. Tan

Kolmogorov--Arnold networks (KANs) have demonstrated their potential as an alternative to multi-layer perceptions (MLPs) in various domains, especially for science-related tasks. H…

cs.CV2024

Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification

Zhu Han, Ce Zhang, Lianru Gao +4

Cross-scene image classification aims to transfer prior knowledge of ground materials to annotate regions with different distributions and reduce hand-crafted cost in the field of…

cs.LG2024

Low-Rank Tensor Learning by Generalized Nonconvex Regularization

Sijia Xia, Michael K. Ng, Xiongjun Zhang

In this paper, we study the problem of low-rank tensor learning, where only a few of training samples are observed and the underlying tensor has a low-rank structure. The existing…

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