My Research

My research focuses on mining faceted taxonomy from massive unstructured text corpora for constructing structured knowledge graph, on which actionable knowledge can be further uncovered to power intelligent services and applications. Particularly, I am interested in developing effective models that learn from partially- and noisily-labeled data and scale to massive datasets. Besides knowledge graph construction, I have also studied how to leverage faceted taxonomy for multidimensional text cube construction and entity-oriented ranking system development.


University of Illinois at Urbana-Champaign ( UIUC )

Ph.D. Candidate in Computer Science • Aug. 2016 — May 2021 (expected)

  • Overall GPA: 4.0/4.0
  • Member of Data Mining Group. Supervised by Professor Jiawei Han.
  • Received Brian Totty Graduate Fellowship at Computer Science Department.

Shanghai Jiao Tong University ( SJTU )

B.S.E. in Computer Science and Technology • Sep. 2012 — Jun. 2016

  • Overall GPA: 3.92/4.0 (91.71/100)     Major GPA: 3.98/4.0 (93.78/100)     Rank: 1/78
  • Member of IEEE honor class, an elite program at SJTU which aims to nurture scientists in computer science, electrical and electronic technology, and information science based on MIT’s educational model.

Yale University

International Exchange Student • Jun. 2014 — Aug. 2014

  • One of 10 top students fully funded by notable alumnus Neil Shen.
  • Studied in the Intensive English Program at English Language Institute.
  • Earned “Certificate of Excellence” at Yale University.

Industry Experience


External Researcher • Sep. 2018 — Present

  • Working on taxonomy construction on heterogeneous information network.


Software Engineering Intern • May 2017 — Aug. 2017

  • Studied multi-task learning for building query-dependent neural ranking model in personal search.


  • Reviewer of ACM Intl. Conf. on Web Search and Data Mining (WSDM) • 2018
  • Reviewer of ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining (KDD) • 2017
  • Reviewer of ACM SIGIR Conf. on Research & Development in Information Retrieval (SIGIR) • 2017
  • Reviewer of Conference on Empirical Methods in Natural Language Processing (EMNLP) • 2017
  • Leader of IEEE Honor Class • 2012 -- 2016
  • Personal Tutor of Mathematical Analysis Course • 2012 -- 2013
  • Teaching Assistant of Programming and Data Structures Course • 2013 -- 2014
  • Volunteer for Shanghai International Marathon • 2013 -- 2014
  • Member of the Student Union of the School of Electronic Information and Electrical Engineering • 2013 -- 2015


  • Programming Language: Python, C++, MATLAB, R, Mathematica
  • Deep Learning Platforms: PyTorch, TensorFlow
  • Tools: Git, Latex, Vim, Linux, Keynote, MS Offices, OmniGraffle