Pingzhao Hu, University of Toronto

Latest papers

Spatially guided translation from histology images to transcriptomic profiles using foundation model-driven contrastive learning.
PLoS computational biology · 2026 · senior author
Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.
Genetic epidemiology · 2026 · senior author
A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data.
Computational and structural biotechnology journal · 2026 · senior author

All 59 publications

Latest funding

EpiGen Marks for Human Sepsis
CIHR · 2019 · Co-investigator
$994,500
Epigenetic PowerBlade - DNA Precision Marks for Critical Illness
CIHR · 2019 · Co-investigator
$392,250

All 2 grants and awards

59 publications.

01

Spatially guided translation from histology images to transcriptomic profiles using foundation model-driven contrastive learning.

Huang ZH, Xu Z, Hu P

PLoS computational biology2026Senior author

DOI: 10.1371/journal.pcbi.1014762 PMID: 42709893

02

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Shi Y, Xu W, Hu P

Genetic epidemiology2026Senior author

DOI: 10.1002/gepi.70044 PMID: 42339999

03

A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data.

Min S, Lac L, Hu P

Computational and structural biotechnology journal2026Senior author

DOI: 10.1016/j.csbj.2026.01.010 PMID: 41940310

04

MolGraph-xLSTM as a graph-based dual-level xLSTM framework for enhanced molecular representation and interpretability.

Sun Y, Lu Y, Li YY, Jing Z, Leung CK, Hu P

Communications chemistry2025Senior author

DOI: 10.1038/s42004-025-01683-z PMID: 41023138

05

FusionCLM: enhanced molecular property prediction via knowledge fusion of chemical language models.

Lu Y, Li YY, Sun Y, Hu P

Journal of cheminformatics2025Senior author

DOI: 10.1186/s13321-025-01073-6 PMID: 40883821

06

Out of distribution learning in bioinformatics: advancements and challenges.

Shi Y, Xu W, Hu P

Briefings in bioinformatics2025Senior author

DOI: 10.1093/bib/bbaf294 PMID: 40576030

07

GraphBAN: An inductive graph-based approach for enhanced prediction of compound-protein interactions.

Hadipour H, Li YY, Sun Y, Deng C, Lac L, Davis R, Cardona ST, Hu P

Nature communications2025Senior author

DOI: 10.1038/s41467-025-57536-9 PMID: 40102386

08

iNGNN-DTI: prediction of drug-target interaction with interpretable nested graph neural network and pretrained molecule models.

Sun Y, Li YY, Leung CK, Hu P

Bioinformatics (Oxford, England)2024Senior author

DOI: 10.1093/bioinformatics/btae135 PMID: 38449285

09

A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data.

Fung DLX, Li X, Leung CK, Hu P

Bioinformatics advances2023Senior author

DOI: 10.1093/bioadv/vbad059 PMID: 37228387

10

Clustering on longitudinal quality-of-life measurements using growth mixture models for clinical prognosis: Implementation on CCTG/AGITG CO.20 trial.

Zhang J, Kong W, Hu P, Jonker D, Moore M, Ringash J, Shapiro J, Zalcberg J, Simes J, Tu D, O'Callaghan CJ, Liu G, Xu W

Cancer medicine2023

DOI: 10.1002/cam4.5341 PMID: 36281472

EpiGen Marks for Human Sepsis

Co-investigatorCIHR2019Project Grant

Principal investigators: Dos Santos, Claudia C

Keywords: Biomarker; Critical Illness; Dna Methylation; Epigenetics; Epigenome Wide Association Analysis; Sepsis

$994,500

Epigenetic PowerBlade - DNA Precision Marks for Critical Illness

Co-investigatorCIHR2019Collaborative Health Research Projects (NSERC partnered)

Principal investigators: Dos Santos, Claudia C; Fox-Robichaud, Alison E; Veres, Teodor

Keywords: Biomedical Technology; Critical Illness; Dna Methylation; Microfluidic; Point Of Care Device; Prognosis; Sepsis; Therapeutic Enrichment; Whole Blood

$392,250

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

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

Joseph Beyene

Health Research Methods, Evidence, and Impact

12 shared papers, latest 2016

Pingzhao Hu

Biochemistry

10 shared papers, latest 2026

Wei Xu

Biostatistics Division

8 shared papers, latest 2026

Andrew Emili

Banting and Best Department of Medical Research

5 shared papers, latest 2012

Anne Dipchand

Department of Paediatrics

2 shared papers, latest 2016

Mingyao Liu

Department of Surgery

2 shared papers, latest 2012

Jenna Sykes

Biostatistics Division

1 shared papers, latest 2011

David Mack

Pediatric Gastroenterology and Nutrition

1 shared papers, latest 2010

Rama Khokha

Cancer Research

1 shared papers, latest 2010

Quaid Morris

Donnelly Centre

1 shared papers, latest 2006

Claudia Dos Santos

Critical Care Medicine

1 shared papers, latest 2012

Brian Cox

Department of Physiology

1 shared papers, latest 2006

Gary Bader

Terrence Donnelly Centre for Cellular and Biomolecular Research

1 shared papers, latest 2007

John Strauss

Faculty

1 shared papers, latest 2014

Write to this professor

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Applying for

Paper to mention

Subject: Prospective PhD student Dear Professor Hu, 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 "Spatially guided translation from histology images to transcriptomic profiles using foundation model-driven contrastive learning." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] 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]

Pingzhao Hu

Latest papers

Latest funding

Spatially guided translation from histology images to transcriptomic profiles using foundation model-driven contrastive learning.

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data.

MolGraph-xLSTM as a graph-based dual-level xLSTM framework for enhanced molecular representation and interpretability.

FusionCLM: enhanced molecular property prediction via knowledge fusion of chemical language models.

Out of distribution learning in bioinformatics: advancements and challenges.

GraphBAN: An inductive graph-based approach for enhanced prediction of compound-protein interactions.

iNGNN-DTI: prediction of drug-target interaction with interpretable nested graph neural network and pretrained molecule models.

A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data.

Clustering on longitudinal quality-of-life measurements using growth mixture models for clinical prognosis: Implementation on CCTG/AGITG CO.20 trial.

EpiGen Marks for Human Sepsis

Epigenetic PowerBlade - DNA Precision Marks for Critical Illness

Frequent collaborators

Joseph Beyene

Pingzhao Hu

Wei Xu

Andrew Emili

Stanley Read

Anne Dipchand

Mingyao Liu

Jenna Sykes

David Mack

Tomas Paus

Rama Khokha

Quaid Morris

Claudia Dos Santos

Brian Cox

Jane Batt

Vuk Stambolic

Annie Huang

Janet Rossant

Haibo Zhang

Gary Bader

John Strauss