Bo Wang

Orcid: 0000-0002-9620-3413

Affiliations:
  • University of Toronto, Health Network, Toronto, Canada


According to our database1, Bo Wang authored at least 62 papers between 2009 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Current opinions on large cellular models.
Quant. Biol., 2024

Tandem mass spectrum prediction for small molecules using graph transformers.
Nat. Mac. Intell., 2024

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
CoRR, 2024

Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge.
CoRR, 2024

EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning.
CoRR, 2024

FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction.
CoRR, 2024

Integrate Any Omics: Towards genome-wide data integration for patient stratification.
CoRR, 2024

WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples.
Nat. Mac. Intell., July, 2023

To Transformers and Beyond: Large Language Models for the Genome.
CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.
CoRR, 2023

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.
CoRR, 2023

Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning.
CoRR, 2023

Clinical Note Generation from Doctor-Patient Conversations using Large Language Models: Insights from MEDIQA-Chat.
CoRR, 2023

Moment-alignment domain adaptation in the few-shot and low-resource context.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
The promise of machine learning applications in solid organ transplantation.
npj Digit. Medicine, 2022

Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.
BMC Medical Informatics Decis. Mak., 2022

Exploring the Challenges of Open Domain Multi-Document Summarization.
CoRR, 2022

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.
CoRR, 2022


A sequence-to-sequence approach for document-level relation extraction.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021
Deep Differentiable Random Forests for Age Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers.
CoRR, 2021

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Robust Face Detection via Learning Small Faces on Hard Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Diversity Transfer Network for Few-Shot Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Medical Image Anal., 2019

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.
Inf. Fusion, 2019

End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.
CoRR, 2019

Moment Matching for Multi-Source Domain Adaptation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Network Enhancement: a general method to denoise weighted biological networks.
CoRR, 2018

Gradually Updated Neural Networks for Large-Scale Image Recognition.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Co-Training for Semi-Supervised Image Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Single-Shot Object Detection With Enriched Semantics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Regression Forests for Age Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.
PhD thesis, 2017

Vicus: Exploiting local structures to improve network-based analysis of biological data.
PLoS Comput. Biol., 2017

SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning.
CoRR, 2017

2016
Dynamic label propagation for semi-supervised multi-class multi-label classification.
Pattern Recognit., 2016

Reveel: large-scale population genotyping using low-coverage sequencing data.
Bioinform., 2016

Unsupervised Learning from Noisy Networks with Applications to Hi-C Data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014
Gradient-based Laplacian Feature Selection.
CoRR, 2014

2013
Parameter Estimation for ODEs Using a Cross-Entropy Approach.
SIAM J. Sci. Comput., 2013

Face identification using reference-based features with message passing model.
Neurocomputing, 2013

Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Sparse Subspace Denoising for Image Manifolds.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Early Recurrence Improves Edge Detection.
Proceedings of the British Machine Vision Conference, 2013

2012
Co-Transduction for Shape Retrieval.
IEEE Trans. Image Process., 2012

Affinity learning via self-diffusion for image segmentation and clustering.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Unsupervised metric fusion by cross diffusion.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Effective Improved Graph Transduction.
J. Softw., 2011

Unsupervised metric learning by Self-Smoothing Operator.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Shape Classification Using Tree -Unions.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Object Recognition Using Junctions.
Proceedings of the Computer Vision - ECCV 2010, 2010

Co-transduction for Shape Retrieval.
Proceedings of the Computer Vision, 2010

2009
Skeleton Graph Matching Based on Critical Points Using Path Similarity.
Proceedings of the Computer Vision, 2009


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