William Wang Assistant Professor


Bio: William Wang is the Director of UC Santa Barbara's Natural Language Processing group and an Assistant Professor in the Department of Computer Science at the University of California, Santa Barbara. He received his PhD from School of Computer Science, Carnegie Mellon University. He has broad interests in machine learning approaches to data science, including statistical relational learning, information extraction, computational social science, speech, and vision. He has published more than 60 papers at leading NLP/AI/ML conferences and journals, and received best paper awards (or nominations) at ASRU 2013, CIKM 2013, EMNLP 2015, and CVPR 2019, a DARPA Young Faculty Award (Class of 2018), a Google Faculty Research Award (2019), two IBM Faculty Awards in 2017 and 2018, a Facebook Research Award in 2018, an Adobe Research Award in 2018, and the Richard King Mellon Presidential Fellowship in 2011. He served as an Area Chair for NAACL, ACL, EMNLP, and AAAI. He is an alumnus of Columbia University, and a former research scientist intern of Yahoo! Labs, Microsoft Research Redmond, and University of Southern California. In addition to research, William enjoys writing scientific articles that impact the broader online community: his microblog @王威廉 has 100,000+ followers and more than 2,000,000 views each month. His work and opinions appear at major tech media outlets such as Wired, VICE, Fast Company, NASDAQ, The Next Web, Law.com, and Mental Floss.

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
Fall 2017 - CS595I: Advanced NLP/ML Seminar
Winter 2018 - CS291A: Deep Learning for NLP
Spring 2018 - CS165B: Machine Learning
Fall 2018 - CS190I/291A: Introduction to NLP
Spring 2019 - CS165B: Machine Learning

News

  • 07/07/2017: Watch my recent UCSB interview.
  • 06/24/2019: Congratultions Xin Wang on winning the CVPR 2019 Best Student Paper Award.
  • 06/07/2019: I gave a tutorial on Deep Adversarial Learning for NLP at NAACL 2019 conference with Sameer Singh (UCI). Slides are available here.
  • 05/25/2019: UCSB NLP Group has received a new Google gift to work on language and vision research. Thanks Google!
  • 05/20/2019: I will serve as an Area Chair at AAAI 2020.
  • 05/15/2019: UCSB NLP Group has 7 long papers and 1 short paper accepted to ACL 2019.
  • 03/25/2019: I will serve as an Area Chair for Machine Learning at EMNLP-IJCNLP 2019.
  • 03/15/2019: We are grateful for a new Google Faculty Research Award. Thanks Google!
  • 03/05/2019: Congrats Xin for his accepted CVPR 2019 oral paper on vision-language navigation with Microsoft Research collaborators!
  • 03/05/2019: I am serving as an Area Chair for Machine Learning at ACL 2019.
  • 02/22/2019: Our group has 6 long papers accepted to NAACL 2019.
  • 02/05/2019: Together with Sameer Singh and Jiwei Li, we will present a tutorial on Deep Adversarial Learning for NLP at NAACL 2019.
  • 11/06/2018: We have received two faculty research grants from Intel AI. Thank you Intel!
  • 11/01/2018: UCSB NLP group has two papers accepted to AAAI 2019. Congratulations Yijun, Xin, and Jiawei!
  • 10/08/2018: I will serve as Area Chair for Vision and Robotics at NAACL 2019.
  • 08/27/2018: We have received a new IBM Faculty Award (2018)! Thanks IBM.
  • 08/24/2018: Very honored to receive the 2018 DARPA Young Faculty Award.
  • 08/10/2018: We have 4 papers accepted to EMNLP 2018! Congrats Jing, Wenhan, Wenhu, Xin, and Vivek!
  • 07/03/2018: Our paper "Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation" was accepted to ECCV 2018! Congrats Xin, Wenhan, and Hongmin.
  • 06/24/2018: Our lab has received an Amazon AWS Grant for Research. Thanks AWS!
  • 05/24/2018: Our lab receives a Facebook Research Award to work on low-resource machine translation and comparable corpora mining. Thanks Facebook!
  • 05/10/2018: I will serve as an area chair for AAAI 2019.