Jun Lu

Affiliations:
  • Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA


According to our database1, Jun Lu authored at least 13 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Subtype-Aware Dynamic Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Transfer Learning with Knowledge Distillation for Urban Localization Using LTE Signals.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2022
Constraining pseudo-label in self-training unsupervised domain adaptation with energy-based model.
Int. J. Intell. Syst., 2022

Subtype-Aware Dynamic Unsupervised Domain Adaptation.
CoRR, 2022

2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unimodal regularized neuron stick-breaking for ordinal classification.
Neurocomputing, 2020

Identity-aware Facial Expression Recognition in Compressed Video.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Energy-constrained Self-training for Unsupervised Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis.
CoRR, 2019

Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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