Boyu Wang

Orcid: 0000-0002-7413-4162

Affiliations:
  • University of Western Ontario, Vector Institute, Brain Mind Institute, London, Canada
  • University of Pennsylvania, Philadelphia, PA, USA (former)
  • Princeton University, Princeton, NJ, USA (former)
  • McGill University, Montreal, QC, Canada (PhD 2016)
  • University of Macau, Macau, SAR, China (former)


According to our database1, Boyu Wang authored at least 62 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Decentralized Federated Learning: A Survey on Security and Privacy.
IEEE Trans. Big Data, April, 2024

Temporal Attention Source-Free Adaptation for Chemical Processes Fault Diagnosis.
IEEE Trans. Ind. Informatics, March, 2024

CROMOSim: A Deep Learning-Based Cross-Modality Inertial Measurement Simulator.
IEEE Trans. Mob. Comput., January, 2024

Dual Contrastive Training and Transferability-Aware Adaptation for Multisource Privacy-Preserving Motor Imagery Classification.
IEEE Trans. Instrum. Meas., 2024

2023
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., October, 2023

Lifelong Online Learning from Accumulated Knowledge.
ACM Trans. Knowl. Discov. Data, May, 2023

Episodic task agnostic contrastive training for multi-task learning.
Neural Networks, May, 2023

On the Benefits of Two Dimensional Metric Learning.
IEEE Trans. Knowl. Data Eng., 2023

Fault Diagnosis of Unseen Modes in Chemical Processes Based on Labeling and Class Progressive Adversarial Learning.
IEEE Trans. Instrum. Meas., 2023

On the value of label and semantic information in domain generalization.
Neural Networks, 2023

Hierarchical full-attention neural architecture search based on search space compression.
Knowl. Based Syst., 2023

Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst., 2023

Gap Minimization for Knowledge Sharing and Transfer.
J. Mach. Learn. Res., 2023

Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization.
CoRR, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.
CoRR, 2023

VALERIAN: Invariant Feature Learning for IMU Sensor-based Human Activity Recognition in the Wild.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

When Source-Free Domain Adaptation Meets Learning with Noisy Labels.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Invariant Feature Learning for Sensor-Based Human Activity Recognition.
IEEE Trans. Mob. Comput., 2022

Weighted Conditional Discriminant Analysis for Unseen Operating Modes Fault Diagnosis in Chemical Processes.
IEEE Trans. Instrum. Meas., 2022

Online Adaptation Boosts SSVEP-Based BCI Performance.
IEEE Trans. Biomed. Eng., 2022

On the benefits of representation regularization in invariance based domain generalization.
Mach. Learn., 2022

A novel domain adaptation theory with Jensen-Shannon divergence.
Knowl. Based Syst., 2022

Momentum Diminishes the Effect of Spectral Bias in Physics-Informed Neural Networks.
CoRR, 2022

Evolving Domain Generalization.
CoRR, 2022

CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator.
CoRR, 2022

Domain-Augmented Domain Adaptation.
CoRR, 2022

Gap Minimization for Knowledge Sharing and Transfer.
CoRR, 2022

On Learning Fairness and Accuracy on Multiple Subgroups.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Representation Learning through Implicit Path Alignment.
Proceedings of the International Conference on Machine Learning, 2022

Weakly Supervised Object Localization as Domain Adaption.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On Learning Contrastive Representations for Learning with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Task Similarity Estimation Through Adversarial Multitask Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2021

Imputation-Based Ensemble Techniques for Class Imbalance Learning.
IEEE Trans. Knowl. Data Eng., 2021

Blood Pressure States Transition Inference Based on Multi-State Markov Model.
IEEE J. Biomed. Health Informatics, 2021

Common Spatial Pattern Reformulated for Regularizations in Brain-Computer Interfaces.
IEEE Trans. Cybern., 2021

Discriminative active learning for domain adaptation.
Knowl. Based Syst., 2021

Multi-view subspace clustering via partition fusion.
Inf. Sci., 2021

Domain generalization via optimal transport with metric similarity learning.
Neurocomputing, 2021

Full-attention based Neural Architecture Search using Context Auto-regression.
CoRR, 2021

Aggregating From Multiple Target-Shifted Sources.
Proceedings of the 38th International Conference on Machine Learning, 2021

Sensor-Based Human Activity Recognition for Elderly In-patients with a Luong Self-Attention Network.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

Multi-task Learning by Leveraging the Semantic Information.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting.
IEEE Trans. Smart Grid, 2020

Spatial Filtering in SSVEP-Based BCIs: Unified Framework and New Improvements.
IEEE Trans. Biomed. Eng., 2020

Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
CoRR, 2020

Domain Generalization with Optimal Transport and Metric Learning.
CoRR, 2020

Discriminative Active Learning for Domain Adaptation.
CoRR, 2020

Deep Active Learning: Unified and Principled Method for Query and Training.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Clustering with similarity preserving.
Neurocomputing, 2019

A Principled Approach for Learning Task Similarity in Multitask Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Cross-Layer Design for Network Lifetime Maximization in Underwater Wireless Sensor Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Leveraging Disease Progression Learning for Medical Image Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2013
A modified hierarchical graph cut based video segmentation approach for high frame rate video.
Proceedings of the Image Processing: Machine Vision Applications VI, 2013

2012
Trial pruning based on genetic algorithm for single-trial EEG classification.
Comput. Electr. Eng., 2012

2011
Robust Learning of Mixture Models and Its Application on Trial Pruning for EEG Signal Analysis.
Proceedings of the New Frontiers in Applied Data Mining, 2011

A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Entropy penalized learning for Gaussian mixture models.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2009
Classification of Single-Trial EEG Based on Support Vector Clustering during Finger Movement.
Proceedings of the Advances in Neural Networks, 2009

2008
A modified counter-propagation network for process mean shift identification.
Proceedings of the IEEE International Conference on Systems, 2008


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