# Yongshao Ruan

> Ph.D. University of Washington 2004

**Wikidata**: [Q102229132](https://www.wikidata.org/wiki/Q102229132)  
**Source**: https://4ort.xyz/entity/yongshao-ruan

## Summary
Yongshao Ruan is a computer scientist who earned his Ph.D. from the University of Washington in 2004. He is known for his work in machine learning and efficient inference, with a notable academic thesis titled *Efficient Inference: A Machine Learning Approach*. His doctoral advisor was Henry Kautz.

## Biography
- Born: [Not specified]
- Nationality: [Not specified]
- Education:
  - Ph.D. in Computer Science and Computer Engineering, University of Washington (2004)
- Known for: Research in machine learning and efficient inference
- Employer(s):
  - VMware (2009–2013)
- Field(s): Computer science, artificial intelligence

## Contributions
Yongshao Ruan's primary contribution is his doctoral thesis, *Efficient Inference: A Machine Learning Approach*, completed in 2004 under the supervision of Henry Kautz. The thesis focused on advancing machine learning techniques for efficient inference, though specific details of the work are not provided in the source material. His academic work was part of the University of Washington's computer science and engineering programs, contributing to the broader field of AI research.

## FAQs
### Q: What is Yongshao Ruan known for?
A: Yongshao Ruan is known for his Ph.D. thesis in machine learning, *Efficient Inference: A Machine Learning Approach*, completed at the University of Washington in 2004.

### Q: Who was Yongshao Ruan's doctoral advisor?
A: Yongshao Ruan's doctoral advisor was Henry Kautz, an American computer scientist and AI researcher.

### Q: Where did Yongshao Ruan work after his Ph.D.?
A: Yongshao Ruan worked at VMware from 2009 to 2013.

### Q: What was Yongshao Ruan's academic focus?
A: Yongshao Ruan's academic focus was on efficient inference in machine learning, as reflected in his thesis.

## Why They Matter
Yongshao Ruan's work on *Efficient Inference: A Machine Learning Approach* contributed to the development of advanced machine learning techniques, particularly in the realm of inference optimization. His research, while not extensively detailed in the source material, aligns with broader efforts in AI and computer science to improve the efficiency and scalability of machine learning models. His academic contributions were part of the University of Washington's research ecosystem, influencing subsequent work in the field.

## Notable For
- Authored the thesis *Efficient Inference: A Machine Learning Approach* (2004)
- Doctoral advisor: Henry Kautz
- Employed at VMware (2009–2013)

## Body
### Education and Thesis
Yongshao Ruan completed his Ph.D. in computer science and computer engineering at the University of Washington in 2004. His thesis, *Efficient Inference: A Machine Learning Approach*, was supervised by Henry Kautz. The work focused on advancing machine learning techniques for efficient inference, though specific contributions are not detailed in the source material.

### Professional Career
After earning his Ph.D., Yongshao Ruan worked at VMware from 2009 to 2013. His employment at VMware, a major player in cloud computing and virtualization, suggests a focus on applied computer science and software engineering.

### Academic Influence
Yongshao Ruan's research was part of the University of Washington's computer science and engineering programs, contributing to the institution's reputation in AI and machine learning. His work aligns with broader trends in optimizing machine learning algorithms for real-world applications.

## References

1. Mathematics Genealogy Project
2. WorldCat
3. LinkedIn