Faculty profile

Xiaoxiao Li

ResearcherElectrical and Computer EngineeringUniversity of British Columbia

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses may be missing. Find their university profile.

Xiaoxiao Li

Researcher

Electrical and Computer Engineering

Engineering

University of British Columbia

Vancouver, British Columbia, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
23 publications in the last five years, latest in 2026.
Senior (last) author on 6 recent papers, a sign of leading a research group.
Principal investigator on 4 research grants (4 NSERC), most recently in 2024.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Citations

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

federated learning continual learning data heterogeneity data mining domain alignment security Computer Vision Deep Learning

Latest papers

PTCMIL: multiple instance learning via prompt token clustering for whole slide image analysis.
Medical image analysis · 2026 · senior author
Federated Learning in Healthcare: From Research to Real-World Deployment.
Annual review of biomedical engineering · 2026
Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation.
JAMIA open · 2026

All 24 publications

Latest funding

Ultrasound Imaging for Next Generation Continuous and Distributed Learning
NSERC · 2024 · Co-investigator
$149,956
Logically Explainable Federated Learning
NSERC · 2024 · Principal investigator
$90,000
High-precision Echo Assessment and Risk Triage of heart failure using Artificial Intelligence (HEART-AI)
CIHR · 2024 · Co-investigator
$975,375

All 11 grants and awards

24 publications.

PTCMIL: multiple instance learning via prompt token clustering for whole slide image analysis.

Zhao B, Kim S, Chen H, Zhou C, Gao ZH, Wang G, Li X

Medical image analysis2026Senior author

DOI: 10.1016/j.media.2026.104013 PMID: 41849941

Federated Learning in Healthcare: From Research to Real-World Deployment.

Bakas S, Li X, Shah P, Roth HR

Annual review of biomedical engineering2026

DOI: 10.1146/annurev-bioeng-080125-041414 PMID: 41563839

Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation.

Nejadshamsi S, H Chu C, McGilton KS, Li X, Ronquillo C, Abbasgholizadeh-Rahimi S

JAMIA open2026

DOI: 10.1093/jamiaopen/ooaf171 PMID: 41522832

EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation.

Daghyani M, Wang L, Hashemi N, Medhat B, Abdelsamad B, Rojas Velez E, Li X, Tsang MYC, Luong C, Abolmaesumi P, Tsang TSM

International journal of computer assisted radiology and surgery2026

DOI: 10.1007/s11548-026-03694-0 PMID: 42138794

Machine learning prediction for epilepsy treatment selection and prognosis: achievements and challenges.

Chen Z, Li X, Jehi L, Ge Z, Wang X, Kwan P

The Lancet. Digital health2026

DOI: 10.1016/j.landig.2026.101022 PMID: 42692951

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Zhu H, Bai J, Li N, Li X, Liu D, Buckeridge DL, Li Y

npj Digital Medicine202527 citations

DOI: 10.1038/s41746-025-01661-8

Editorial for Special Issue on Foundation Models for Medical Image Analysis.

Wang X, Wang D, Li X, Rittscher J, Metaxas D, Zhang S

Medical image analysis2025

DOI: 10.1016/j.media.2024.103389 PMID: 39603969

Self-supervised stain normalization empowers privacy-preserving and model generalization in digital pathology.

Wang J, Yu J, Yang H, Zhu Y, Jiang L, Li X, Zhang J, Xu Y

NPJ digital medicine2025

DOI: 10.1038/s41746-025-02196-8 PMID: 41360962

Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research.

Zhao C, Zhao T, Shen Q, Tang Z, Li X, Huan T

Analytical chemistry2025

DOI: 10.1021/acs.analchem.5c01417 PMID: 41105041

Corrigendum to "LESS: Label-efficient multi-scale learning for cytological whole slide image screening" [Medical Image Analysis 94 (2024): 103109].

Zhao B, Deng W, Li ZH, Zhou C, Gao Z, Wang G, Li X

Medical image analysis2025Senior author

DOI: 10.1016/j.media.2025.103648 PMID: 40436657

Ultrasound Imaging for Next Generation Continuous and Distributed Learning

Co-investigatorNSERC2024Research Tools and Instruments

Principal investigators: Abolmaesumi, Purang

Keywords: Biomedical engineering; Continuous learning; Edge computing; Federated learning; Machine Learning; Ultrasound imaging

$149,956

Logically Explainable Federated Learning

Principal investigatorNSERC2024International - Collaboration

Principal investigators: Li, Xiaoxiao

Keywords: Information systems and technology

$90,000

High-precision Echo Assessment and Risk Triage of heart failure using Artificial Intelligence (HEART-AI)

Co-investigatorCIHR2024Project Grant

Principal investigators: Luong, Christina; Abolmaesumi, Purang; Tsang, Teresa S

Keywords: Doppler; Echocardiography; Heart Failure; Machine Learning; Point-Of-Care Imaging; Ultrasound Imaging

$975,375

Care Anywhere: Smart Biosensors to Promote Healthy Aging and Transform Healthcare

Co-investigatorNSERC2023Collaborative Research and Training Experience

Principal investigators: Hodgson, Antony J

Keywords: aging; bioengineering; biosensors; digital health; health technologies; machine learning; remote monitoring; wearables

$450,000

Responsible Artificial Intelligence

Principal investigatorNSERC2023Canada Research Chairs

Principal investigators: Li, Xiaoxiao

Keywords: Computer Vision; Deep Learning; Trustworthy AI; Machine Learning; Federated Learning; Medical Image Analysis; Healthcare

$70,000

Stakeholder perspectives and impacts of explainable artificial intelligence: A case study in a British Columbia health authority

Co-investigatorSSHRC2023Insight Development Grant

Principal investigators: Ronquillo, Charlene

Keywords: explainable AI; machine learning; decision support; systems operations; human factors; stakeholder perspectives; information systems; technology implementation; health systems; impact of technologies

$74,210

A Comprehensive Study Towards Lifelong Federated Learning Systems

Principal investigatorNSERC2022Discovery Launch Supplement

Principal investigators: Li, Xiaoxiao

$12,500

Cross-province federated machine learning of electronic health records in Canada

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Li, Yue Y

Keywords: automatic phenotyping; bayesian inference; deep learning; differential privacy; disease surveillance; electronic health records; federated learning; health informatics; public health; topic models

$135,000

Cell-Based Medical Diagnostic Testing on a Smartphone for Low-Resource Communities

Co-investigatorSSHRC2022New Frontiers in Research Fund - Exploration

Principal investigators: Algar, W Russ

Keywords: point-of-care diagnostics; nanomaterials; cytometry; smartphone device; assays; artificial intelligence; machine learning; multimodal learning; biomedical image segmentation and analysis

$125,000

A Comprehensive Study Towards Lifelong Federated Learning Systems

Principal investigatorNSERC2022Discovery Grants Program - Individual

Principal investigators: Li, Xiaoxiao

Keywords: federated learning; continual learning; data heterogeneity; data mining; domain alignment; security

$87,000

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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Xiaoxiao Li

Research

Latest papers

Latest funding

PTCMIL: multiple instance learning via prompt token clustering for whole slide image analysis.

Federated Learning in Healthcare: From Research to Real-World Deployment.

Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation.

EchoAgent: guideline-centric reasoning agent for echocardiography measurement and interpretation.

Machine learning prediction for epilepsy treatment selection and prognosis: achievements and challenges.

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

Editorial for Special Issue on Foundation Models for Medical Image Analysis.

Self-supervised stain normalization empowers privacy-preserving and model generalization in digital pathology.

Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research.

Corrigendum to "LESS: Label-efficient multi-scale learning for cytological whole slide image screening" [Medical Image Analysis 94 (2024): 103109].

Ultrasound Imaging for Next Generation Continuous and Distributed Learning

Logically Explainable Federated Learning

High-precision Echo Assessment and Risk Triage of heart failure using Artificial Intelligence (HEART-AI)

Care Anywhere: Smart Biosensors to Promote Healthy Aging and Transform Healthcare

Responsible Artificial Intelligence

Stakeholder perspectives and impacts of explainable artificial intelligence: A case study in a British Columbia health authority

A Comprehensive Study Towards Lifelong Federated Learning Systems

Cross-province federated machine learning of electronic health records in Canada

Cell-Based Medical Diagnostic Testing on a Smartphone for Low-Resource Communities

A Comprehensive Study Towards Lifelong Federated Learning Systems

Frequent collaborators

Gang Wang

Purang Abolmaesumi

Na Li

Yue Li

Christina Luong

Samira Abbasgholizadeh Rahimi

Teresa Tsang