c Xiang Ren - UIUC Computer Science

Ph.D. Candidate

Research: machine learning and data-driven methods for turning massive, unstructured text data into machine-actionable structures.

googlescholar  xren7@cs.stanford.edu

cv Curriculum Vitae   (last updated May 1, 2017)
RS Research Statement  |  Teaching Statement

github GitHub  |  googlescholar Google Scholar  |  linkedin LinkedIn


I'm a visiting scholar at Stanford University, working with Dan Jurafsky. In Spring 2018, I will join USC Computer Science as an Assistant Professor.

[NEW] Knowledge base construction with light human effort: our SIGMOD 2017 and WWW 2017 tutorials discuss recent studies on De-noising Distant Supervision and Co-Typing Entities and Relations .

Travel cv

Aug 13-17, 2017 - KDD, Halifax, Canada.
Jul 29-Aug 5, 2017 - ACL, Vancouver, Canada.

About Me  cv

I'm a graduating Ph.D. candidate in CS@Illinois (defending in Dec.), a member of Data Mining Research Group led by Jiawei Han, and a Google PhD Fellow. I work closely with Tarek F. Abdelzaher and Chengxiang Zhai in UIUC, Ji Heng in Rensselaer Polytechnic Institute, Yizhou Sun in UCLA, and Clare R. Voss in US Army Research Lab. Before that, I received a B.E. degree in Computer Science from Zhejiang University in 2012.

In the past, I was lucky to work with Surajit Chaudhuri, Kuansan Wang and Yi Ma in Microsoft Research. I spent the summer of 2016 with Tao Cheng at Pinterest. Cong Yu is my PhD fellowship mentor at Google Research. I am honored to receive Outstanding Graduate Student Award from CS@Illinois in 2016, Yahoo!-DAIS Research Excellence Award in 2015, and Microsoft Young Fellowship in 2012.  [More on my research]


What's New  cv

May 2017 - Two research papers are accepted to KDD 2017!
Apr. 2017 - Two tutorials are accepted to KDD 2017. Details coming soon!
Mar. 2017 - I receive a ACM Student Scholarship for attending ACM's Celebration of 50 Years of the Turing Award.
Mar. 2017 - I receive a WWW 2017 Outstanding Reviewer Award.
Feb. 2017 - I will give a talk with Yizhou Sun in a WWW 2017 tutorial entitled "Recommendation in Context-Rich Environment: An Information Network-Based Approach".
Jan. 2017 - Together with Jiawei Han, we will present tutorials on "Building Structured Databases of Factual Knowledge from Massive Text Data" in SIGMOD'17 and WWW'17.
Dec. 2016 - Our CoType paper was accepted to WWW 2017. It creates a principled framework for extracting factual structures from text without human supervision.