Wei Wang

About

Wei Wang is a Professor in the Computer Science Department at UCLA Samueli School of Engineering, where he also holds the Leonard Kleinrock Term Chair in Computer Science. His research interests encompass data mining, bioinformatics, database systems, machine learning, and natural language processing. Dr. Wang has made significant contributions to these fields, evidenced by his numerous awards and recognitions, including being named an IEEE Fellow in 2023 and an ACM Fellow in 2020. His work has been recognized through awards such as the IBM Invention Achievement Awards, NSF CAREER Award, and the ACM SIGKDD Service Award, among others. Dr. Wang's research focuses on advancing understanding and development in data-driven sciences, with particular emphasis on bioinformatics and health informatics, contributing to the integration of computational techniques in biological and medical research.

Research topics

• Computer Science
• Artificial Intelligence
• Information Retrieval
• Computational biology
• Genetics
• Data Mining
• Biology
• Mathematics
• Medicine
• World Wide Web

Selected publications

• Expanded encyclopaedias of DNA elements in the human and mouse genomes

  Nature · 2020 · 2538 citations

  data. We have developed a registry of 926,535 human and 339,815 mouse candidate cis-regulatory elements, covering 7.9 and 3.4% of their respective genomes, by integrating selected datatypes associated with gene regulation, and constructed a web-based server (SCREEN; http://screen.encodeproject.org) to provide flexible, user-defined access to this resource. Collectively, the ENCODE data and registry provide an expansive resource for the scientific community to build a better understanding of the…

  DOI

• P-Companion

  2020 · 66 citations

  Senior authorCorresponding

  If one customer buys a tennis racket, what are the best 3 complementary products to purchase together? 3 tennis ball packs, 3 headbands, 3 overgrips, or 1 of each respectively? Complementary product recommendation (CPR), aiming at providing product suggestions that are often bought together to serve a joint demand, forms a pivotal component of e-commerce service, however, existing methods are far from optimal. Given one product, how to recommend its complementary products of different types is t…

  DOI

• Supplementary material to "Evaluating the EPICC-Model for Regional Air Quality Simulation: A Comparative Study with CAMx and CMAQ"

  2025-11-04 · 1 citations

  articleOpen access
  PublisherDOI

• Integrating BERT and Graph Convolutional Networks for Medical Literature Mining: A Knowledge Graph Ap-proach to Pelvic Fracture Research Analysis (Preprint)

  2025-09-13

  preprintOpen accessSenior author

  <sec> <title>BACKGROUND</title> Pelvic fractures have consistently been a focal point in orthopedic research. This study aims to provide a comprehensive analysis of the literature on pel-vic fractures published between 1983 and 2023, revealing research trends, hotspots, and frontiers in this field. </sec> <sec> <title>OBJECTIVE</title> This study aimed to provide a comprehensive bibliometric and knowledge graph–based analysis of pelvic fracture literature published between 1983 and 2023, identif…

  PublisherDOI

• On a generalization of the Johnson-Newman theorem to multiple rank-one perturbations

  ArXiv.org · 2025-12-14

  preprintOpen access1st authorCorresponding

  Wang and Zhao (Adv. Appl. Math. 173 (2026) 102994) generalized the classic Johnson-Newman theorem on simultaneous similarity of symmetric matrices from a single rank-one perturbation to multiple rank-one perturbations. However, their result applies only to specific rank-one perturbations, and the given condition is quite involved as it relies on multivariate polynomials. We provide a simple proof of their result, leading to an improved version with a simplified condition that holds for arbitrary…

  PublisherOA PDFDOI

Recent grants

• RAPID: Dynamic Graph Neural Networks for Modeling and Monitoring COVID-19 Pandemic

  NSF · $114k · 2020–2023

• CAREER: Mining Salient Localized Patterns in Complex Data

  NSF · $437k · 2005–2012

• Designing neutralization antibodies against Sars-Cov-2

  NIH · $434k · 2020–2023

Frequent coauthors

• Yizhou Sun

  49 shared

• Xuemin Lin

  Shanghai Jiao Tong University

  48 shared

• Jyun‐Yu Jiang

  Search

  38 shared

• Jiong Yang

  36 shared

• Peipei Ping

  University of California, Los Angeles

  35 shared

• Wei Cheng

  33 shared

• Philip S. Yu

  University of Illinois Chicago

  27 shared

• Leonard McMillan

  University of North Carolina at Chapel Hill

  27 shared

Education

• Ph. D., Computer Science

  University of California Los Angeles

  1999

Awards & honors

• IEEE Fellow, 2023
• ACM Fellow, 2020
• IBM Invention Achievement Awards - 2000 and 2001
• UNC Junior Faculty Development Award - 2003
• NSF Faculty Early Career Development (CAREER) Award - 2005

Similar researchers at University of California, Los Angeles

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