Yang Wang
Professor
PhD, Information and Computer Science, University of California, Irvine
Other professional appointments
- Faculty Affiliate, Department of Computer Science, Illinois
- Faculty Affiliate, Illinois Informatics
- Faculty Affiliate, Institute of Software Research (ISR), University of California, Irvine
Research focus
Usable privacy/security, data-driven privacy/security, inclusive design, explainable AI, human-computer interaction, social computing, ubiquitous computing, computer-supported cooperative work.
Honors and Awards
- ACM CHI2024 Best Paper Honorable Mentions
- OpenAI Research Award on Democratic Design-Making, 2023
- Meta, People’s Expectations and Experiences with Digital Privacy Research Award, 2021
- IAPP SOUPS Privacy Award, 2021
- Facebook Privacy Preserving Technologies Research Award, 2020
- Co-director, Humanities Research Institute (HRI) Research Cluster on "AI & Society"
- Best Paper Honorable Mention at the ACM CSCW Conference
- IAPP SOUPS Privacy Award 2019
- NSF CAREER award
- Best Paper Honorable Mention at the ACM CHI Conference
- Top Privacy Paper for Policy Makers selected by the Future of Privacy Forum
- Robert Benjamin Junior Faculty Achievement Award, School of Information Studies, Syracuse University
Biography
Yang Wang is a professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign. He co-directs the Social Computing Systems (SALT) Lab. He was previously an assistant professor in the School of Information Studies at Syracuse University and a research scientist in CyLab at Carnegie Mellon University. His research is centered around usable privacy and security, and social computing. His work has appeared in news media such as The New York Times, Wall Street Journal, BBC, and China Daily. His research has been supported by the National Science Foundation, Department of Health and Human Services, Google, Alcatel-Lucent, and The Privacy Projects. He received his PhD in information and computer science from the University of California, Irvine.
Courses currently teaching
Office hours
By appointment, please contact professor
Publications & Papers
Yang Wang's Google Scholar page
T. Sharma, L. Kyi, Y. Wang, A. Biega (2024): “I’m not convinced that they don’t collect more than is necessary”: User-Controlled Data Minimization Design in Search Engines. Proceedings of the USENIX Security Symposium (USENIX Security2024).
Y. Yu, T. Sharma, S. Das, Y. Wang (2024): “Don’t put all your eggs in one basket”: How Cryptocurrency Users Choose and Secure Their Wallets. Proceed- ings of the ACM Conference on Human Factors in Computer Systems (CHI2024). Best Paper Honorable Mention.
T. Sharma, V. Nair, H. Wang, Y. Wang, D. Song (2024): “I Can’t Believe It’s Not Custodial!”: Usable Trustless Decentralized Key Management. Proceedings of the ACM Conference on Human Factors in Computer Systems (CHI2024). Best Paper Honorable Mention.
Z. Yu, H. Namkung, J. Guo, H. Milner, J. Goldfoot, Y. Wang, V. Sekar (2024): SEAM-EZ: Simplifying Stateful Analytics through Visual Programming. Proceed- ings of the ACM Conference on Human Factors in Computer Systems (CHI2024).
T. Sharma, Y. Kwon, K. Pongmala, H. Wang, A. Miller, D. Song, Y. Wang (2024): Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice. Proceedings of IEEE International Conference on Blockchain and Cryptocurrency (ICBC2024).
T. Sharma, Z. Zhou, A. Miller, Y. Wang (2023): A Mixed-Methods Study of Security Practices of Smart Contract Developers. Proceedings of the USENIX Security Symposium (USENIX Security2023).
T. Sharma, A. Stangl, L. Zhang, Y. Tseng, I. Xu, L. Findlater, D. Gurari, Y. Wang (2023): Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind. Proceedings of the ACM Conference on Human Factors in Computer Systems (CHI2023).
T. Sharma, S. Kaushik, Y. Yu, I. Ahmed, Y. Wang (2023): User Perceptions and Experiences of Targeted Ads on Social Media Platforms: Learning from Bangladesh and India. Proceedings of the ACM Conference on Human Factors in Computer Systems (CHI2023).
Z. Kilhoffer, Z. Zhou, F. Wang, F. Tamton, Y. Huang, P. Kim, Tom Yeh, Y. Wang (2023): “How technical do you get? I’m an English teacher”: Teaching and Learning Cybersecurity and AI Ethics in High School. Proceedings of the IEEE Symposium on Security and Privacy (S&P2023).
Y. Yu, S. Ashok, S. Kaushik, Y. Wang, G. Wang (2023): Design and Evaluation of Inclusive Email Security Indicators for People with Visual Impairments. Proceedings of the IEEE Symposium on Security and Privacy (S&P2023).
Presentations
N. Barbosa, J. Park, Y. Yao, Y. Wang. "What if?" Predicting Individual Users' Smart Home Privacy Preferences and Their Changes. PrivacyCon 2019, Federal Trade Commission (FTC), DC, USA. June 2019.
Y. Wang. Folk models of Online Behavioral Advertising. Brave. May 2019.
Y Wang. Inclusive Privacy and Security. Facebook. Menlo Park, CA, USA. April 2019.
Y Wang. The Third Wave? Inclusive Privacy and Security. Fourteenth Symposium on Usable Privacy and Security (SOUPS 2018), Baltimore, MD, USA. August 2018.
Y. Wang. The Third Wave? Inclusive Privacy and Security. Institute of Software Research (ISR), University of California, Irvine, CA, USA. June 2018.
H. Xia, Y. Wang, Y. Huang, A. Shah. "Our Privacy Needs To Be Protected At All Costs": Crowd Workers' Privacy Experiences on Mechanical Turk. PrivacyCon2018, Federal Trade Commission (FTC), DC, USA. February 2018.
Y. Wang. The Third Wave? Inclusive Privacy and Security. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. March 2017.
Y. Yao, D. Lo Re, Y. Wang: Folk Models of Online Behavioral Advertising. PrivacyCon2017, Federal Trade Commission (FTC), DC, USA. January 2017.
Y. Wang, H. Xia, Y. Yao, Y. Huang. Privacy Perceptions of Civilian Drones in The US. Federal Trade Commission (FTC), DC, USA. October 2016.
Y. Wang. From Facebook Regrets to Facebook Nudges. IBM Research, Almaden, CA, USA. July 2014.