PhD, Information and Computer Science, University of California, Irvine
Other professional appointments
Faculty affiliate, Department of Computer Science
Faculty Affiliate, Illinois Informatics
Honors and Awards
- NSF CRII award
- Google Faculty Research Award
- Best Paper Honorable Mention at the ACM CHI Conference
- NSF I-Corps Award
- iConference Best Paper Award
Yun Huang is an assistant professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign. She co-directs the Social Computing Systems (SALT) Lab. Before joining Illinois, she was a faculty member in the School of Information Studies at Syracuse University and a postdoc fellow at Carnegie Mellon University. Her work focuses on social computing systems research, in which she examines context-driven approaches of designing crowdsourcing systems. For example, her research examines how different contexts impact user contributions to crowdsourcing systems; how to leverage these contextual effects to design innovative social computing systems that can better engage users; and how crowdsourced user behavioral data may help better understand users and the community. She received her PhD from the Donald Bren School of Information and Computer Sciences at the University of California, Irvine. She earned her bachelor's degree from the Department of Computer Science and Technology at Tsinghua University, in Beijing, China.
Publications & Papers
Yi-Chieh Lee, Naomi Yamashita, Yun Huang, Wai Fu, "I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot, CHI 2020
Yunpeng Song, Yun Huang, Zhongmin Cai, Jason I. Hong, I'm All Eyes and Ears: Exploring Effective Locator for Privacy Awareness in IoT Scenarios, CHI 2020
Yun Huang, Yisi Sang, Qunfang Wu, Yaxing Yao (2019): Higher Education Check-Ins: Exploring the User Experience of Hybrid Location Sensing, PACM on Human-Computer Interaction. Interact.3, CSCW, Article 66 (November 2019)
Qunfang Wu, Yisi Sang, Yun Huang (2019): Danmaku: A New Paradigm of Social Interaction via Online Videos, ACM Transactions on Social Computing.
Ying Tang, Yun Huang (2019): Contextualizing the Selection of Emotion Regulation Strategies in Daily Life, British Journal of Social Psychology.
Huichuan Xia, Yang Wang, Yun Huang, Anuj Shah (2018): "Our Privacy Needs to Be Protected at all Cost": Crowd Workers' Privacy Experiences on Amazon Mechanical Turk. Proceedings of the ACM Journal: Computer-Supported Cooperative Work and Social Computing (CSCW 2018)
Yun Huang, Qunfang Wu (2018): Understanding Interactions Between Municipal Police Departments and the Public on Twitter. iConference 2018. Lee Dirks Best Paper Award
Yun Huang, Alain Shema, Huichuan Xia (2017): A Proposed Genome of Mobile and Situated Crowdsourcing and Its Design Implications. International Journal of Human-Computer Studies (IJHCS).
Yun Huang, Corey White, Huichuan Xia, Yang Wang (2017): A Computational Cognitive Modeling Approach to Understand and Design Mobile Crowdsourcing for Campus Safety Reporting. International Journal of Human-Computer Studies (IJHCS).
Yun Huang, Yifeng Huang, Na Xue, Jeffery Bigham (2017): Leveraging Complementary Contributions of Different Workers for Efficient Crowdsourcing of Video Captions. Proceedings of the ACM Conference on Human Factors in Computer Systems (CHI2017)
Yun Huang, John Zimmerman, Anthony Tomasic, Aaron Steinfeld (2016): Combining Contribution Interactions to Increase Coverage in Mobile Participatory Sensing Systems. The 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2016).
Yun Huang, Ying Tang, Yang Wang (2015): Emotion Map: A Mobile Social System for Improving Emotion Awareness and Regulation. The 18th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2015).
Yun Huang, Towards Building the Mobile Crowdsourcing Genome, School of Information, University of Michigan, 2019.
Yun Huang, Qunfang Wu, Yaxing Yao: Bluetooth Low Energy (BLE) Beacons Alone Didn't Work!, the ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (Ubicomp 2018).
Qunfang Wu, Yisi Sang, Shan Zhang, Yun Huang: Danmaku vs. Forum Comments: Understanding User Participation and Knowledge Sharing in Online Videos, the 25th ACM International Conference on Supporting Group Work (GROUP), 2018.
Yun Huang, Yifeng Huang, Na Xue, Jeffery Bigham (2017): Leveraging Complementary Contributions of Different Workers for Efficient Crowdsourcing of Video Captions. the ACM Conference on Human Factors in Computer Systems (CHI 2017).
Yun Huang, Crowdsourcing for Community Engagement, School of Information Management, Peking University, Beijing China, 2017.
Yun Huang, Brian Dobreski, Huichuan Xia: Human Library: Understanding Experience Sharing as a Participatory Service. the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017).
Yun Huang, Data-Driven Approaches to Understanding Community Policing on Social Media Platforms, the 2nd International Conference on Computational Social Science (IC2S2 2016) Conference, Chicago, IL.
Yun Huangm, Municipal Police Departments on Facebook: What Are They Posting and Are People Engaging?, The 17th Annual International Conference on Digital Government Society (DG.O 2016) Conference, Shanghai, China.
Yun Huang, Modeling Sharing Decision of Campus Safety Reports and Its Design Implications to Mobile Crowdsourcing for Safety, the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, Copenhagen (MobileHCI), Denmark.
Yun Huang, Emotion Map: A Mobile Social System for Improving Emotion Awareness and Regulation, CSCW 2015 Conference, Vancouver, Canada.