Boyu Wang

Assistant Professor

Western University

Canada

Research Interests

Explore related searches

Professors in Canada Professors in Deep Learning Deep Learning professors in Canada

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Boyu Wang is an Assistant Professor at Western University, Canada. His research focuses on semi-supervised learning, federated learning with noisy labels, and active learning frameworks for medical and industrial applications. His recent publications explore topics such as domain adaptation in EEG-based emotion recognition and enhancements in medical image analysis.

Articles (19)

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Collaborators (8)

Shuo Li

Case Western Reserve University Case School of Engineering

UNITED STATES

View details

Hai Sun

Associate Professor

Rutgers Robert Wood Johnson Medical School New Brunswick

UNITED STATES

View details

Jiaqi Li

Western University

CANADA

View details

Yankai Cao

Professor

The University of British Columbia

CANADA

View details

Christian Gagné

Laval University

CANADA

View details

Marc Joanisse

University of Western Ontario

CANADA

View details

Yalda Mohsenzadeh

Assistant Professor

Western University

CANADA

View details

Changjian Shui

Vector Institute

CANADA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Boyu Wang

Research Interests

Explore related searches

Contact this professor

About

Articles (19)

Class-Missing Semi-supervised document key information extraction via synergistic refinement estimation

Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice

FedELR: When federated learning meets learning with noisy labels

A simple remedy for failure modes in physics informed neural networks

A deep active learning framework for mitotic figure detection with minimal manual annotation and labelling

Dual-Contrastive Multiview Graph Attention Network for Industrial Fault Diagnosis under Domain and Label Shift

Exploiting the Intrinsic Neighborhood Semantic Structure for Domain Adaptation in EEG-Based Emotion Recognition

Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning

Multivariate Pattern Analysis of EEG Reveals Neural Mechanism of Naturalistic Target Processing in Attentional Blink

Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation

XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG

Unveiling the neural dynamics of conscious perception in rapid object recognition

Decentralized Federated Learning: A Survey on Security and Privacy

Lifelong Online Learning from Accumulated Knowledge

Label shift conditioned hybrid querying for deep active learning

Hierarchical full-attention neural architecture search based on search space compression

A novel domain adaptation theory with Jensen–Shannon divergence

Task Similarity Estimation Through Adversarial Multitask Neural Network

Blood Pressure States Transition Inference Based on Multi-State Markov Model

Collaborators (8)

Shuo Li

Hai Sun

Jiaqi Li

Yankai Cao

Christian Gagné

Marc Joanisse

Yalda Mohsenzadeh

Changjian Shui

Make your next move.