# Wei Wang

> Chinese-born American computer scientist

**Wikidata**: [Q96221056](https://www.wikidata.org/wiki/Q96221056)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Wei_Wang_(computer_scientist))  
**Source**: https://4ort.xyz/entity/wei-wang-q96221056

## Summary
Wei Wang is a Chinese-born American computer scientist recognized for her significant contributions to the field of data mining. She is a professor at the University of California, Los Angeles (UCLA). In 2021, she was named a Fellow of the Association for Computing Machinery (ACM) for her work on the foundation and practice of data mining.

## Biography
- **Nationality:** Chinese-born American
- **Education:** 
  - Nankai University
  - University of Birmingham
  - University of California, Los Angeles
- **Known for:** Contributions to the foundation and practice of data mining.
- **Employer(s):** University of California, Los Angeles
- **Field(s):** Computer Science
- **Doctoral Advisor:** Richard Robert Muntz
- **Sex/Gender:** Female

## Contributions
Wei Wang has made distinct contributions to the computer science discipline, particularly in the areas of data mining and bioinformatics, as evidenced by her recognition as an ACM Fellow.

Her primary research impact is cited as "contributions to the foundation and practice of data mining." While specific publication titles are not listed in the provided source material, her election to the ACM Fellow class of 2020 (recognized in January 2021) highlights her role in advancing the theoretical underpinnings and practical applications of extracting patterns from large data sets.

In addition to her research, Wang has played a significant role in academia through mentorship. She has supervised multiple doctoral students, including Jun (Luke) Huan, Jinze Alhadidi, Feng Pan, Qi Zhang, and Yi Liu. Her student Feng Pan, who obtained a Ph.D. from the University of Southern California in 2007, is also noted as a computer scientist.

## FAQs
### Q: What is Wei Wang's primary area of research?
A: Wei Wang is primarily known for her contributions to the foundation and practice of data mining.

### Q: Is Wei Wang a member of the Association for Computing Machinery (ACM)?
A: Yes, she is an ACM Fellow. She was elected to the 2020 class of fellows, a status recognized formally on January 13, 2021.

### Q: Where did Wei Wang receive her education?
A: According to available records, Wei Wang attended Nankai University, the University of Birmingham, and the University of California, Los Angeles.

### Q: Who are some of Wei Wang's notable doctoral students?
A: Her doctoral students include Jun (Luke) Huan, Jinze Alhadidi, Feng Pan, Qi Zhang, and Yi Liu.

## Why They Matter
Wei Wang matters to the field of computer science as a bridge between theoretical data mining foundations and their practical application. Her designation as an ACM Fellow places her among the top 1% of ACM members, signifying that her work has had a defining impact on the digital age's ability to process and understand complex data.

Her influence extends beyond her own research through her role as a mentor at the University of California, Los Angeles. By training a new generation of computer scientists—such as Jun (Luke) Huan and Feng Pan—she has contributed to the propagation of expertise in data mining and related fields. Her career trajectory, moving from Nankai University and the University of Birmingham to a position at a major research institution like UCLA, exemplifies the global flow of scientific talent and the collaborative nature of modern computer science.

## Notable For
- **ACM Fellow (2020):** Recognized for contributions to the foundation and practice of data mining.
- **UCLA Affiliation:** Serves as a professor/scientist at the University of California, Los Angeles.
- **Doctoral Mentorship:** Advisor to several Ph.D. graduates who have entered the field of computer science.
- **Academic Lineage:** Doctoral student of Richard Robert Muntz.
- **Global Background:** A Chinese-born American scientist with an international educational background.

## Body

### Academic Background and Education
Wei Wang pursued a multidisciplinary and international education. She is an alumna of **Nankai University** and the **University of Birmingham**. She also attended the **University of California, Los Angeles** (UCLA), where she completed her doctoral studies under the supervision of **Richard Robert Muntz**.

### Professional Career
Wang is affiliated with the **University of California, Los Angeles** (UCLA), a major public research university. Her role involves both research and teaching in the field of computer science. The university, established in 1919 and located in Los Angeles, California, serves as her primary professional base.

### Recognition and Awards
In January 2021, Wei Wang was officially recognized as a **Fellow of the Association for Computing Machinery (ACM)**. This honor was awarded for her specific contributions to the "foundation and practice of data mining." The ACM Fellowship is a prestigious accolade reserved for members who have demonstrated accomplishments that have driven innovation and moved the field forward.

### Mentorship and Academic Legacy
Wang has successfully supervised numerous Ph.D. students, contributing to the growth of the computer science workforce. Her known doctoral students include:
*   **Jun (Luke) Huan**
*   **Jinze Alhadidi**
*   **Feng Pan** (Ph.D., University of Southern California, 2007)
*   **Qi Zhang**
*   **Yi Liu**

## Schema Markup
```json
{
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  "@type": "Person",
  "name": "Wei Wang",
  "jobTitle": "Computer Scientist",
  "worksFor": {
    "@type": "Organization",
    "name": "University of California, Los Angeles"
  },
  "nationality": {
    "@type": "Country",
    "name": "United States"
  },
  "alumniOf": [
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      "name": "Nankai University"
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      "name": "University of Birmingham"
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    {
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      "name": "University of California, Los Angeles"
    }
  ],
  "knowsAbout": [
    "Computer Science",
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  "award": [
    {
      "@type": "Award",
      "name": "ACM Fellow",
      "description": "For contributions to the foundation and practice of data mining",
      "dateReceived": "2021-01-13"
    }
  ],
  "description": "Chinese-born American computer scientist known for contributions to data mining."
}

## References

1. Mathematics Genealogy Project
2. [Source](https://www.acm.org/media-center/2021/january/fellows-2020)