Wang research group presents at international AI conference

Huimin Zeng
Huimin Zeng
Dong Wang
Dong Wang, Associate Professor

Members of Associate Professor Dong Wang's research group, the Social Sensing Lab, presented their research at the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022). The conference, which brings together AI researchers from around the world, was held in Vienna, Austria, from July 23-29.

PhD student Huimin Zeng presented the paper "On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks," which he coauthored with Wang. In the paper, the researchers examine the vulnerability of uncertainty estimation in AI models. For instance, in the case of an autonomous car, a malicious adversary could try to fool the car’s AI module into believing a driving situation is not ambiguous, leading the module to make an over-confident and wrong prediction in a "stop-or-proceed" situation. According to the researchers, experimental results on various benchmark image datasets show that the uncertainty estimated by state-of-the-art methods could be easily corrupted by an attack where an "outsider" wants to break into the decision process of AI models.

Informatics PhD student Zhenrui Yue presented the paper, "A Human-AI Interactive Approach Towards Natural Language Explanation based COVID-19 Misinformation Detection," which he coauthored with Wang. To identify COVID-19 misleading posts on social media, the researchers developed a human-AI framework where the reasoning ability of freelance workers on online crowdsourcing platforms is utilized along with the professional knowledge of COVID articles. They find that their framework outperforms existing misinformation detection models in both explainability and detection accuracy.  

Updated on
Backto the news archive

Related News

iSchool researchers work with diverse groups to improve user experience

iSchool faculty are studying ways to improve user experience, with a common goal of improving technology and applications for the needs of individual users. These researchers are working with diverse groups to gain feedback, and several current projects are focused on experiences for users with disabilities.

Das receives student membership award from ASIS&T

PhD student Puranjani Das has been selected as a recipient of the Association for Information Science and Technology (ASIS&T) SIG CMR Student Membership Award for the 2024-2025 academic year. She will receive a complimentary one-year membership in both ASIS&T and SIG CMR, a special interest group focused on classification and metadata research.

Puranjani Das

Kim defends dissertation

Doctoral candidate Jenna Kim successfully defended her dissertation, "Evaluating Pre-Trained Language Modeling Approaches for Author Name Disambiguation," on June 11, 2024.

Jenna Kim headshot

Desai defends dissertation

Doctoral candidate Smit Desai successfully defended his dissertation, "Designing Metaphor-fluid Voice User Interfaces," on June 10.

Smit Desai

Student says ‘thank you’ with a helicopter ride

Last month, Michael Ferrer showed appreciation for one of his MSIM instructors in a unique way—by inviting him for an insider’s look at his work as a reservist in the Illinois Army National Guard. For the ILARNG BOSS Lift, which took place on June 18 at Camp Atterbury, Indiana, Ferrer selected Michael Wonderlich, iSchool adjunct lecturer and senior associate director of business intelligence and enterprise architecture for Administrative Information Technology Services (AITS) at the University of Illinois.

Michael Wonderlich and Michael Ferrer hold a U of I flag in front of a military helicopter