223 citations · 449 across the 21 of their papers we have counts for
21 papers
Robust Stance Detection: Understanding Public Perceptions in Social Media
Nayoung Kim, David Mosallanezhad, Lu Cheng +2
The abundance of social media data has presented opportunities for accurately determining public and group-specific stances around policy proposals or controversial topics. In cont…
Intersectionality and Testimonial Injustice in Medical Records
Kenya S. Andrews, Bhuvani Shah, Lu Cheng
Detecting testimonial injustice is an essential element of addressing inequities and promoting inclusive healthcare practices, many of which are life-critical. However, using a sin…
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
Usman Gohar, Lu Cheng
The widespread adoption of Machine Learning systems, especially in more decision-critical applications such as criminal sentencing and bank loans, has led to increased concerns abo…
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
Junxuan Huang, Yatong An, Lu cheng +3
Despite recent success of self-supervised based contrastive learning model for 3D point clouds representation, the adversarial robustness of such pre-trained models raised concerns…
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data
Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng +2
With the onset of the COVID-19 pandemic, news outlets and social media have become central tools for disseminating and consuming information. Because of their ease of access, users…
On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations
Lu Cheng, Benjamin Jarman, Deanna Needell +1
With the growth of large data as well as large-scale learning tasks, the need for efficient and robust linear system solvers is greater than ever. The randomized Kaczmarz method (R…