Sen Wu

Sen Wu

Stanford University

H-index: 24

North America-United States

About Sen Wu

Sen Wu, With an exceptional h-index of 24 and a recent h-index of 22 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Machine Learning, Machine Learning Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluating semi-supervision methods for medical image segmentation: applications in cardiac magnetic resonance imaging

Speeding up cardiac MR segmentation with semi-supervision: applications in cine imaging

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models

Metadata Shaping: Natural Language Annotations for the Tail

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

Observational Supervision for Medical Image Classification Using Gaze Data

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning

Sen Wu Information

University

Position

Computer Science

Citations(all)

4646

Citations(since 2020)

3344

Cited By

2490

hIndex(all)

24

hIndex(since 2020)

22

i10Index(all)

32

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Sen Wu Skills & Research Interests

Machine Learning

Machine Learning Systems

Top articles of Sen Wu

Evaluating semi-supervision methods for medical image segmentation: applications in cardiac magnetic resonance imaging

Journal of Medical Imaging

2023/3/1

Speeding up cardiac MR segmentation with semi-supervision: applications in cine imaging

European Heart Journal-Cardiovascular Imaging

2022/9/1

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models

2022/5

Metadata Shaping: Natural Language Annotations for the Tail

arXiv preprint arXiv:2110.08430

2021/10/16

Simran Arora
Simran Arora

H-Index: 4

Sen Wu
Sen Wu

H-Index: 18

Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text

arXiv preprint arXiv:2110.08228

2021/10/15

Observational Supervision for Medical Image Classification Using Gaze Data

2021

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

arXiv preprint arXiv:2010.10363

2020/10/20

Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning

ACM Transactions on Embedded Computing Systems (TECS)

2020/9/29

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings

arXiv preprint arXiv:2006.15168

2020/6/26

Ivy: Instrumental variable synthesis for causal inference

23rd International Conference on Artificial Intelligence and Statistics

2020/4/11

Understanding and Improving Information Transfer in Multi-Task Learning

arXiv preprint arXiv:2005.00944

2020/5/2

Snorkel: Rapid training data creation with weak supervision

Proceedings of the VLDB endowment. International conference on very large data bases

2017/11

Understanding the downstream instability of word embeddings

Proceedings of Machine Learning and Systems

2020/3/15

Automating Knowledge Distillation and Representation from Richly Formatted Data

2020

Sen Wu
Sen Wu

H-Index: 18

On the generalization effects of linear transformations in data augmentation

2020/11/21

Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers

arXiv preprint arXiv:2010.11750

2020/10/22

See List of Professors in Sen Wu University(Stanford University)

Co-Authors

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