# Yaoyao Liu

> machine learning researcher

**Wikidata**: [Q122733206](https://www.wikidata.org/wiki/Q122733206)  
**Source**: https://4ort.xyz/entity/yaoyao-liu

## Summary  
Yaoyao Liu is a male computer scientist and machine‑learning researcher who earned his Ph.D. in computer science at the Max Planck Institute for Informatics and currently holds a faculty position at Johns Hopkins University. He has previously worked at Tianjin University in China and the National University of Singapore.

## Biography  
- **Born:** –  
- **Nationality:** –  
- **Education:**  
  - B.Sc. in Electrical Engineering, Tianjin University (2011 – 2015)  
  - Ph.D. in Computer Science, Max Planck Institute for Informatics (2020 – 2023)  
- **Known for:** Machine‑learning research and contributions to academic publications.  
- **Employer(s):**  
  - Tianjin University (2015 – 2018)  
  - National University of Singapore (2018 – 2019)  
  - Johns Hopkins University (2023 – present)  
- **Field(s):** Computer science, machine learning, electrical engineering  

## Contributions  
Yaoyao Liu’s research focuses on core problems in machine learning, including algorithmic design, representation learning, and applications to computer vision. During his Ph.D. under the supervision of Prof. Bernt Schiele, Liu authored several peer‑reviewed papers in leading conferences such as CVPR and ICCV, advancing state‑of‑the‑art techniques for visual recognition. He has released open‑source code on GitHub (username *yaoyao‑liu*) that implements novel training pipelines, which have been adopted by other researchers for reproducibility studies. Liu’s work has been cited in subsequent studies on deep feature extraction, influencing both academic investigations and early‑stage industry prototypes that leverage his methods for image classification and object detection. His scholarly output is indexed in DBLP (author ID 12/10033‑1) and Google Scholar (ID Uf9GqRsAAAAJ), reflecting a growing impact within the machine‑learning community.

## FAQs  
### Q: What is Yaoyao Liu’s current academic affiliation?  
**A:** He is a faculty member at Johns Hopkins University, where he has been employed since 2023.  

### Q: Where did Yaoyao Liu obtain his Ph.D.?  
**A:** He earned his Doctor of Philosophy in computer science from the Max Planck Institute for Informatics between 2020 and 2023.  

### Q: Who supervised Yaoyao Liu’s doctoral research?  
**A:** His doctoral advisor was Prof. Bernt Schiele, a well‑known German computer scientist.  

### Q: Does Yaoyao Liu maintain a public profile for his research?  
**A:** Yes, he maintains a personal website (https://www.cs.jhu.edu/~yyliu/), a GitHub repository (yaoyao‑liu), and profiles on DBLP, Google Scholar, and LinkedIn.  

### Q: What areas of study does Yaoyao Liu specialize in?  
**A:** His expertise spans machine learning, computer vision, and electrical engineering.  

## Why They Matter  
Yaoyao Liu’s contributions help bridge theoretical advances in machine learning with practical computer‑vision applications. By publishing novel algorithms and releasing reproducible code, he accelerates the diffusion of cutting‑edge techniques across academia and industry. His mentorship of graduate students and collaborations with established researchers, such as his advisor Prof. Schiele, foster a new generation of scholars who build upon his work. The open‑source tools he provides lower barriers for experimentation, enabling broader participation in AI research and driving forward the state of visual intelligence. Without Liu’s research outputs, several recent improvements in feature learning and detection pipelines would have progressed more slowly.  

## Notable For  
- Completing a Ph.D. under renowned computer‑vision expert Prof. Bernt Schiele.  
- Holding faculty positions at three internationally recognized institutions (Tianjin University, NUS, Johns Hopkins).  
- Publishing peer‑reviewed papers in top machine‑learning and computer‑vision conferences.  
- Providing open‑source implementations of his research on GitHub (yaoyao‑liu).  
- Maintaining a comprehensive academic profile indexed in DBLP and Google Scholar.  

## Body  

### Education  
- **Tianjin University (2011‑2015)** – Bachelor of Science in Electrical Engineering.  
- **Max Planck Institute for Informatics (2020‑2023)** – Doctor of Philosophy in Computer Science.  
  - Doctoral advisor: **Bernt Schiele**.  

### Academic Positions  
- **Tianjin University** – Researcher/lecturer (2015‑2018).  
- **National University of Singapore** – Post‑doctoral researcher (2018‑2019).  
- **Johns Hopkins University** – Faculty member in the Computer Science Department (2023‑present).  

### Research Output  
- Authored multiple papers in **CVPR**, **ICCV**, and related venues, focusing on visual representation learning.  
- Developed novel training pipelines released under an open‑source license on **GitHub** (username *yaoyao‑liu*).  
- Works cited in subsequent studies on deep feature extraction and object detection, indicating influence on both academic and early‑stage industry projects.  

### Professional Profiles & Identifiers  
- **Website:** https://www.cs.jhu.edu/~yyliu/ (English, active since 2023)  
- **DBLP author ID:** 12/10033‑1  
- **Google Scholar ID:** Uf9GqRsAAAAJ  
- **GitHub username:** yaoyao‑liu  
- **LinkedIn profile ID:** liuyaoyao  

### Collaboration & Mentorship  
- Collaborated with Prof. Bernt Schiele during his doctoral studies, contributing to joint publications.  
- Supervises graduate students at Johns Hopkins, guiding research in machine learning and computer vision.  

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## References

1. [Source](https://pages.jh.edu/yliu538/files/Yaoyao_Liu_Curriculum_Vitae.pdf)