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W. Lam

4 papers hereh-index 9402 citations39 works total

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

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.IR1
  • cs.IT1
  • math.NA1
same name
  • W. Lam — 9 papers, h 8
  • W. Lam — 9 papers, h 6
  • W. Lam — 5 papers, h 4
  • W. Lam — 3 papers, h 1
  • W. Lam — 2 papers, h 43
  • W. Lam — 2 papers, h 69

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
20162023
most citedA Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications

5 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2023

The News Delivery Channel Recommendation Based on Granular Neural Network

Lin Wu, Rui Li, Jiaxuan Liu +1

With the continuous maturation and expansion of neural network technology, deep neural networks have been widely utilized as the fundamental building blocks of deep learning in a v…

cs.CL2023

Research on Multilingual News Clustering Based on Cross-Language Word Embeddings

Lin Wu, Rui Li, Wong-Hing Lam

Classifying the same event reported by different countries is of significant importance for public opinion control and intelligence gathering. Due to the diverse types of news, rel…

math.NA2019★ 5 cited

A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications

H. Chen, H. C. Wu, S. C. Chan +1

This paper proposes a novel stochastic version of damped and regularized BFGS method for addressing the above problems.

cs.IT2016★ 1 cited

Training Design and Two-stage Channel Estimation for Correlated Two-way MIMO Relay Systems

Huiming Chen

This paper addresses the training signal design for the channel estimation in two-way multiple-input-and-multipleoutput (MIMO) relay systems, where the channels are correlated. We…

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