Ke Li, Simon Fraser University

Research

Deep Learning Fast Model Training and Evaluation Fast Nearest Neighbour Search Generative Models Learning to Optimize Machine Learning Meta-Learning Prediction Uncertainty Modelling

Latest funding

Robotic Hand for Vision-Based Dexterous Manipulation of Real World Objects
NSERC · 2025 · Principal investigator
$150,000
Efficient and Reliable Deep Learning
NSERC · 2021 · Principal investigator
$12,500
Efficient and Reliable Deep Learning
NSERC · 2021 · Principal investigator
$136,000

All 3 grants and awards

Robotic Hand for Vision-Based Dexterous Manipulation of Real World Objects

Principal investigatorNSERC2025Research Tools and Instruments

Principal investigators: Li, Ke

Keywords: dexterous manipulation; 3d reconstruction; neural rendering; point cloud rendering; computer vision; deep learning

$150,000

Efficient and Reliable Deep Learning

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Li, Ke

$12,500

Efficient and Reliable Deep Learning

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Li, Ke

Keywords: machine learning; deep learning; prediction uncertainty modelling; fast model training and evaluation; generative models; learning to optimize; meta-learning; reinforcement learning; fast nearest neighbour search; randomized algorithms

$136,000

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

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Applying for

Mention their NSERC grant from 2025

Subject: Prospective PhD student: Deep Learning Dear Professor Li, 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]. Your research on deep learning 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 "Robotic Hand for Vision-Based Dexterous Manipulation of Real World Objects" (2025), 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]