62 citations · 81 across the 6 of their papers we have counts for
6 papers
Understanding and Mitigating Risks of Generative AI in Financial Services
Sebastian Gehrmann, Claire Huang, Xian Teng +9
To responsibly develop Generative AI (GenAI) products, it is critical to define the scope of acceptable inputs and outputs. What constitutes a "safe" response is an actively debate…
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Xian Teng, Yongsu Ahn, Yu-Ru Lin
Big data and machine learning tools have jointly empowered humans in making data-driven decisions. However, many of them capture empirical associations that might be spurious due t…
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter
Xian Teng, Yu-Ru Lin, Wen-Ting Chung +2
Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal chall…
Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
Xian Teng, Sen Pei, Flaviano Morone +1
Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called "Collective Influence (CI)" ha…
Efficient collective influence maximization in cascading processes with first-order transitions
Sen Pei, Xian Teng, Jeffrey Shaman +2
In social networks, the collective behavior of large populations can be shaped by a small set of influencers through a cascading process induced by "peer pressure". For large-scale…
Identification of highly susceptible individuals in complex networks
Shaoting Tang, Xian Teng, Sen Pei +2
Identifying highly susceptible individuals in spreading processes is of great significance in controlling outbreaks. In this paper, we explore the susceptibility of people in susce…