# Jiliang Tang

> Chinese-born computer scientist

**Wikidata**: [Q102430816](https://www.wikidata.org/wiki/Q102430816)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Jiliang_Tang)  
**Source**: https://4ort.xyz/entity/jiliang-tang

## Summary
Jiliang Tang is a Chinese-born computer scientist known for his work in machine learning, data mining, and software engineering. He is a professor at Michigan State University and was a doctoral student of Huan Liu at Arizona State University.

## Biography
- Born: Not specified
- Nationality: Chinese
- Education: Arizona State University (doctoral degree)
- Known for: Research in machine learning, data mining, and software engineering
- Employer(s): Michigan State University
- Field(s): Computer science, machine learning, data mining, software engineering

## Contributions
Jiliang Tang has made significant contributions to the fields of machine learning, data mining, and software engineering through his academic research and publications. As a professor at Michigan State University, he has mentored doctoral students including Wei Jin. His research focuses on developing algorithms and statistical models that enable machines to exhibit intelligent behavior, with applications in social computing, social media mining, and disinformation detection. Tang has published extensively in these areas and maintains an active research profile with identifiers across multiple academic databases including Google Scholar, Scopus, and IEEE Xplore.

## FAQs
### Q: What is Jiliang Tang's primary field of research?
A: Jiliang Tang specializes in machine learning, data mining, and software engineering, with applications in social computing and social media analysis.

### Q: Where does Jiliang Tang currently work?
A: Jiliang Tang is a professor at Michigan State University in the Department of Computer Science and Engineering.

### Q: Who was Jiliang Tang's doctoral advisor?
A: Jiliang Tang completed his doctoral studies under the supervision of Huan Liu at Arizona State University.

## Why They Matter
Jiliang Tang's work in machine learning and data mining has advanced the development of algorithms that enable computers to learn from data and make intelligent decisions without explicit programming. His research has practical applications in social media analysis, disinformation detection, and other areas where understanding complex patterns in large datasets is crucial. Through his academic career, Tang has trained the next generation of computer scientists and contributed to the growing body of knowledge in artificial intelligence and computational methods.

## Notable For
- Professor at Michigan State University in computer science and engineering
- Doctoral student of renowned computer scientist Huan Liu
- Research contributions in machine learning, data mining, and software engineering
- Mentor to doctoral students including Wei Jin
- Extensive publication record across multiple academic databases

## Body
### Academic Background
Jiliang Tang earned his doctoral degree from Arizona State University, where he studied under the supervision of Huan Liu, a prominent figure in computer science known for work in data mining and machine learning. His doctoral training provided the foundation for his subsequent research career.

### Research Focus
Tang's research encompasses machine learning, data mining, and software engineering. His work involves developing algorithms and statistical models that enable machines to perform tasks without explicit instructions, a core aspect of artificial intelligence. He has particular interests in social computing, social media mining, and disinformation detection.

### Professional Career
Currently serving as a professor at Michigan State University, Tang has established himself as an academic researcher and educator. His position involves both conducting research and mentoring students, including doctoral candidates like Wei Jin.

### Academic Impact
Tang maintains an active research profile with identifiers across major academic databases including Google Scholar (author ID: WtzKMWAAAAAJ), Scopus (author ID: 56245477300), IEEE Xplore (author ID: 38238204600), and DBLP (author ID: 64/10812). His work is cataloged in the Mathematics Genealogy Project (ID: 190795), reflecting his contributions to the academic lineage of computer science.

### Publications and Research Output
While specific publication titles are not provided in the source material, Tang's extensive database presence indicates a substantial research output in his fields of expertise. His work addresses fundamental challenges in machine learning and data analysis, with applications spanning social media and information integrity.

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## References

1. BnF authorities
2. Mathematics Genealogy Project
3. Czech National Authority Database
4. Virtual International Authority File