Kui Wu, University of Victoria

Research

Read how they describe their research on their University of Victoria profile.

Computer networks wireless and mobile networking mobile computing network security

Latest papers

Scalable probabilistic truss decomposition using central limit theorem and H-index.
Distributed and parallel databases · 2022 · senior author

All 1 publications

Latest funding

Augmenting Network Observability with Multi-task Learning
NSERC · 2024 · Principal investigator
$48,000
Optimal Integration of Hybrid Energy Systems for Energy Reliability
NSERC · 2022 · Principal investigator
$25,000
Copula-based Dependence Modeling for Computer and Communication Networks
NSERC · 2018 · Principal investigator
$288,000

All 17 grants and awards

1 publications.

01

Scalable probabilistic truss decomposition using central limit theorem and H-index.

Esfahani F, Daneshmand M, Srinivasan V, Thomo A, Wu K

Distributed and parallel databases2022Senior author

DOI: 10.1007/s10619-022-07415-9 PMID: 35911177

Augmenting Network Observability with Multi-task Learning

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Wu, Kui

Keywords: network observability; multi-task learning; network performance; network tomography; network telemetry

$48,000

Optimal Integration of Hybrid Energy Systems for Energy Reliability

Principal investigatorNSERC2022Alliance Grants

Principal investigators: Wu, Kui K

Keywords: Internet of Things; Optimal integration of hybrid energy; Optimization Algorithms; Performance of Networked Systems

$25,000

Copula-based Dependence Modeling for Computer and Communication Networks

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Wu, Kui

Keywords: Computer and Communication Networks; Copula; Dependence Modeling; Interdependent Networks; Network Tomography; Network Traffic Models

$288,000

Learning from failure: Trend analysis for compromised accounts and passwords

Principal investigatorNSERC2017Engage Grants Program

Principal investigators: Wu, Kui

$25,000

StareCrowd: A New Paradign for Mobile Crowdsensing

Co-investigatorNSERC2016Strategic Projects - Group

Principal investigators: Zheng, Rong

$481,700

An element-agnostic approach to auto-scaling network elements for telco cloud

Principal investigatorNSERC2015Collaborative Research and Development Grants

Principal investigators: Wu, Kui

$88,400

Intelligent recommendation and automatic maintenance of loyalty rewards programs

Principal investigatorNSERC2015Engage Grants Program

Principal investigators: Wu, Kui

$24,750

Developing high-accuracy wireless indoor positioning solutions

Principal investigatorNSERC2013Engage Grants Program

Principal investigators: Wu, Kui

$25,000

A Calculus Approach for Stochastic Networks: From Communication Networks to Smart Grids to Internet Water Army

Principal investigatorNSERC2013Discovery Grants Program - Individual

Principal investigators: Wu, Kui

$125,000

Sequential pattern and graph mining with big sales data for online merchants

Principal investigatorNSERC2013Engage Grants Program

Principal investigators: Wu, Kui

$24,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Computer Science

Co-authors at University of Victoria, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Venkatesh Srinivasan

Computer Science

1 shared papers, latest 2022

Alex Thomo

Computer Science

1 shared papers, latest 2022

Write to this professor

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Applying for

Mention their NSERC grant from 2024

Subject: Prospective PhD student: Computer networks Dear Professor Wu, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Scalable probabilistic truss decomposition using central limit theorem and H-index." (2022), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Augmenting Network Observability with Multi-task Learning" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]