activity
20222024
most citedFederated and distributed learning applications for electronic health records and structured medical data: A scoping review

41 citations · 64 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2024

"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making

Shuai Ma, Xinru Wang, Ying Lei +3

In AI-assisted decision-making, it is crucial but challenging for humans to achieve appropriate reliance on AI. This paper approaches this problem from a human-centered perspective…

cs.HC2024★ 5 cited

Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making

Shuai Ma, Chenyi Zhang, Xinru Wang +2

Artificial Intelligence (AI) is increasingly employed in various decision-making tasks, typically as a Recommender, providing recommendations that the AI deems correct. However, re…

cs.HC2024★ 9 cited

Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

Shuai Ma, Qiaoyi Chen, Xinru Wang +4

In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely t…

stat.ME2023

Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning

Xinru Wang, Anyu Zhu, Lauren Kennedy +2

The two-phase sampling design is a cost-effective strategy widely used in public health research. Analyzing the Phase II sample often involves creating subsample-specific weights.…

cs.LG2023★ 41 cited

Federated and distributed learning applications for electronic health records and structured medical data: A scoping review

Siqi Li, Pinyan Liu, Gustavo G. Nascimento +12

Federated learning (FL) has gained popularity in clinical research in recent years to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent forms…

cs.HC2023★ 6 cited

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Shuai Ma, Ying Lei, Xinru Wang +4

In AI-assisted decision-making, it is critical for human decision-makers to know when to trust AI and when to trust themselves. However, prior studies calibrated human trust only b…

stat.ME2022★ 3 cited

Incorporating Participants' Welfare into Sequential Multiple Assignment Randomized Trials

Xinru Wang, Nina Deliu, Yusuke Narita +1

Dynamic treatment regimes (DTRs) are sequences of decision rules that recommend treatments based on patients' time-varying clinical conditions. The sequential multiple assignment r…