Assistant Professor of Computer Science
- 2017, PhD, University of Illinois at Urbana-Champaign
- 2015, Masters, University of Illinois at Urbana-Champaign
Xiang Ren joined the Department of Computer Science at USC as Assistant Professor in 2018. Previously, he was a visiting researcher at Stanford University. Xiang received his PhD in Computer Science at University of Illinois at Urbana-Champaign (2017), where he was a Google PhD Fellow and a Richard T. Cheng Fellow working with Prof. Jiawei Han. Xiang's research develops data-driven and machine learning methods for turning unstructured text data into machine-actionable structures. Xiang's research has been recognized with several prestigious awards including a Yahoo!-DAIS Research Excellence Award, a Yelp Dataset Challenge award, a C. W. Gear Outstanding Graduate Student Award and a David J. Kuck Outstanding M.S. Thesis Award. Technologies he developed has been transferred to US Army Research Lab, National Institute of Health, Microsoft, Yelp and TripAdvisor.
Xiang Ren's research interests span machine learning, data mining, and natural language processing, with a focus on making sense of big text data. His research focuses on developing automated and scalable techniques for extracting structured information from massive text data and applying structured knowledge to power intelligent services. He is particularly interested in designing effective computational models for partially- and noisily-labeled data, learning with complex label space, automating knowledge base construction, and knowledge acquisition with human in the loop.
- 2014 Prostate Cancer DREAM Challenge winner
- 2015 Yahoo!-DAIS Research Excellence Award
- 2015 Yelp Dataset Challenge Award
- 2015 C. L. and Jane W.-S. Liu Award
- 2016 C. W. Gear Outstanding Graduate Student Award
- 2017 University of Illinois David J. Kuck Outstanding M.S. Thesis Award
- 2017 WWW 2017 Outstanding Reviewer Award
- 2017 Google PhD Fellowship
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