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researcher

Wei Luo

Deakin University

6 papers hereh-index 233.3k citations84 works total

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

author position
  • sole author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.FL1
  • cs.SI1
affiliations
  • Deakin University
Homepage
same name
  • Wei Luo — 30 papers, h 10
  • Wei Luo — 16 papers, h 11
  • Wei Luo — 8 papers, h 5
  • Wei Luo — 6 papers, h 5
  • Wei Luo — 6 papers, h 5
  • Wei Luo — 5 papers, h 4

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
20162026
most citedMODEL: Motif-based Deep Feature Learning for Link Prediction

65 citations · 76 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023

Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?

Bing Liu, Wei Luo, Gang Li +2

As deep learning gains popularity in modelling dynamical systems, we expose an underappreciated misunderstanding relevant to modelling dynamics on networks. Strongly influenced by…

cs.LG2021★ 2 cited

Robust Neural Regression via Uncertainty Learning

Akib Mashrur, Wei Luo, Nayyar A. Zaidi +1

Deep neural networks tend to underestimate uncertainty and produce overly confident predictions. Recently proposed solutions, such as MC Dropout and SDENet, require complex trainin…

cs.LG2021★ 2 cited

Distributed Optimization of Graph Convolutional Network using Subgraph Variance

Taige Zhao, Xiangyu Song, Jianxin Li +2

In recent years, Graph Convolutional Networks (GCNs) have achieved great success in learning from graph-structured data. With the growing tendency of graph nodes and edges, GCN tra…

cs.LG2016★ 2 cited

Control Matching via Discharge Code Sequences

Dang Nguyen, Wei Luo, Dinh Phung +1

In this paper, we consider the patient similarity matching problem over a cancer cohort of more than 220,000 patients. Our approach first leverages on Word2Vec framework to embed I…

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