Sen Yang

Orcid: 0000-0003-0407-6398

Affiliations:

LinkedIn, Sunnyvale, CA, USA
Rutgers University, Electrical and Computer Engineering Department, Piscataway, NJ, USA (PhD 2018)

According to our database¹, Sen Yang authored at least 21 papers between 2016 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

PhD thesis

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Bibliography

2025

Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2025

2024

ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, November, 2024

Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Discovering interpretable medical process models: A case study in trauma resuscitation.

[BibT_eX]

[DOI]

J. Biomed. Informatics, April, 2023

Rutgers Multimedia Image Processing Lab at SemEval-2023 Task-1: Text-Augmentation-based Approach for Visual Word Sense Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

2022

Exploring Runtime Decision Support for Trauma Resuscitation.

[BibT_eX]

[DOI]

CoRR, 2022

Generating Privacy-Preserving Process Data with Deep Generative Models.

[BibT_eX]

[DOI]

CoRR, 2022

2020

Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2018

An approach to automatic process deviation detection in a time-critical clinical process.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2018

Discovering Urban Travel Demands Through Dynamic Zone Correlation in Location-Based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Process Mining the Trauma Resuscitation Patient Cohorts.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Intention Mining in Medical Process: A Case Study in Trauma Resuscitation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Discovering Interpretable Medical Workflow Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017

A Framework for Evaluating Trace Alignments.

[BibT_eX]

[DOI]

CoRR, 2017

Process Mining for Trauma Resuscitation.

[BibT_eX]

[DOI]

IEEE Intell. Informatics Bull., 2017

A Data-driven Process Recommender Framework.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Evaluation of Trace Alignment Quality and its Application in Medical Process Mining.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Semi-Synthetic Trauma Resuscitation Process Data Generator.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Medical Workflow Modeling Using Alignment-Guided State-Splitting HMM.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Process-Oriented Iterative Multiple Alignment for Medical Process Mining.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Duration-Aware Alignment of Process Traces.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

Sen Yang

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