Bio: William Wang is the Director of UC Santa Barbara's
Natural Language Processing group and
Center for Responsible Machine Learning. He is the Duncan and Suzanne Mellichamp Professor of Artificial Intelligence and Designs 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 Artificial Intelligence, including statistical relational learning, information extraction, computational social science, dialog & generation, and vision. He has published more than 100 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), an IEEE AI's 10 to Watch Award (Class of 2020), an NSF CAREER Award (2021), a British Computer Society - Karen Spärck Jones Award 2022), the 2023 CRA-E Undergraduate Research Faculty Mentoring Award, and two Google Faculty Research Awards (2018, 2019), three IBM Faculty Awards (2017-2019), two Facebook Research Awards (2018, 2019), an Amazon AWS Machine Learning Research Award, a JP Morgan Chase Faculty Research Award, an Adobe Research Award in 2018, and the Richard King Mellon Presidential Fellowship in 2011. He frequently serves as an Area Chair or Senior Area Chair for NAACL, ACL, EMNLP, and AAAI. He is an elected member of IEEE Speech and Language Processing Technical Committee (2021-2023) and a member of ACM Future of Computing Academy. In addition to research, William enjoys writing scientific articles that impact the broader online community. His work and opinions appear at major tech media outlets such as Wired, VICE, Scientific American, Fortune, Fast Company, NASDAQ, The Next Web, Law.com, and Mental Floss.
Director,
UCSB NLP Group
Director,
Center for Responsible Machine Learning
Mellichamp Professor of Artificial Intelligence
University of California, Santa Barbara
Henley Hall, Room 2005
Santa Barbara, CA 93106
william@cs.ucsb.edu
PhD, Carnegie Mellon University
Research Interests
- Natural Language Processing
- Information Extraction
- Natural Language Generation
- Language & Vision
- Computational Social Science
- 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.
PhDs and Postdocs Mentored
Sharon Levy (Ph.D., 2023, Asst. Prof. at Rutgers)
Zhiyu Chen (Ph.D., 2022, Asst. Prof. at UT-Dallas)
Yijun Xiao (Ph.D., 2022, Research Scientist at Meta AI)
Wenhu Chen (Ph.D., 2021, Asst. Prof. at Univ. Waterloo)
Wenhan Xiong (Ph.D., 2021, Research Scientist at Facebook AI)
Xin Eric Wang (Ph.D., 2020, Asst. Prof. at UC Santa Cruz)
Mai Elsherief (Ph.D., 2019, Asst. Prof. at Northeastern)
Vivek Kulkarni (Postdoc, 2019, Research Scientist at Twitter)
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
Fall 2019 - CS165B:
Machine Learning
Winter 2021 - CS291A:
Introduction to Deep Learning
Winter 2022 - CS190I:
Intro to NLP
Spring 2022 - CS165B:
Machine Learning
Winter 2023 - CS165B:
Machine Learning