William Wang Assistant Professor


Department of Computer Science
University of California, Santa Barbara
Harold Frank Hall, Room 1115
Santa Barbara, CA 93106
william@cs.ucsb.edu

PhD, Carnegie Mellon University

Research Interests

  • Natural Language Processing
    • Information Extraction
    • Social Media
    • Language & Vision
    • Spoken Language Processing
  • Machine Learning
    • Statistical Relational Learning
    • Deep Learning
    • Structure Learning
    • Reinforcement Learning
  • Artificial Intelligence
    • Knowledge Representation & Reasoning
    • Knowledge Graphs

Hiring

I am hiring a few talented PhD students to work with me. Please see my requirements above and check out an awesome video of UCSB.

Teaching

Winter 2017 - CS190I: Introduction to NLP
Spring 2017 - CS292F: Deep Learning for NLP
Fall 2017 - CS40: Foundations of CS
Winter 2018 - CS291D: Deep Learning for NLP
Spring 2018 - CS165B: Machine Learning

News

  • 07/07/2017: Watch my recent UCSB interview.
  • 08/05/2017: Will be serving as an area chair of Computational Social Science for NAACL 2018.
  • 07/20/2017: Our paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning" was accepted to EMNLP 2017. PDF | CODE | NELL-995 DATASET. Congrats Wenhan and Thien!
  • 07/20/2017: Our paper "Deep Residual Learning for Weakly-Supervised Relation Extraction" was accepted to EMNLP 2017. Congrats Darren! PDF
  • 07/06/2017: Thanks IBM for the Faculty Award!
  • 06/16/2017: Thanks Academic Senate for supporting our research!
  • 05/26/2017: Congratulations to NLP lab's undergraduate research students Tyler Vuong and Daniel Spokoyny: both Tyler and Daniel were accepted to CMU, and they are heading to my alma mater for PhD!
  • 05/07/2017: VICE Motherboard covered our recent work on automated fake news detection. LINK PDF
  • 04/21/2017: I briefly chatted with Fast Company about end-to-end neural network speech synthesizers. LINK PDF
  • 03/31/2017: Our paper on a new benchmark dataset for automatic fake news detection was accepted to ACL 2017.
  • 12/16/2016: Will be serving as an Area Chair of Machine Learning for ACL 2017.
  • 12/07/2016: Thanks Amazon AWS for supporting our research!