Research

AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
Xiayan Ji*, Anton Xue*, Eric Wong, Oleg Sokolsky, Insup Lee
Neural Information Processing Systems (NeurIPS) 2024.
PDF

Formal counterfactual explanations for anomaly repair in critical systems.

Exploring Effective Sensing Indicators of Loneliness For Elderly Community in US and Japan
Xiayan Ji, Ahhyun Yuh, Viktor Erdélyi, Teruhiro Mizumoto, Hyonyoung Choi, Sean Lee Harrison, Emma Cho, James Weimer, Hajime Nagahara, Teruo Higashino, George Demiris, Oleg Sokolsky, Insup Lee
ACM CHI Conference on Human Factors in Computing Systems, 2024.
PDF

A cross-cultural study on loneliness detection in elderly communities.

iCareLoop: Data Management System for Monitoring Gerontological Social Isolation and Loneliness
Xiayan Ji, Ahhyun Yuh, Hyonyoung Choi, Viktor Erdélyi, Teruhiro Mizumoto, Sean Lee Harrison, James Weimer, George Demiris, Takeshi Nakagawa, Takashi Suehiro, Yasuyuki Gondo, Hajime Nagahara, Oleg Sokolsky, Teruo Higashino, Insup Lee
14th International Conference on Mobile Computing and Ubiquitous Networking, 2023.
PDF

A data-driven system for monitoring and addressing social isolation in geriatric communities.

Integrated Sensing Platform for Detecting Social Isolation and Loneliness in the Elderly Community
Xiayan Ji, Xian Li, Ahhyun Yuh, Amanda Watson, Claire Kendell, James Weimer, Hajime Nagahara, Teruo Higashino, Teruhiro Mizumoto, Viktor Erdélyi, George Demiris, Oleg Sokolsky, Insup Lee
IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2023.
PDF

A sensor-based platform for detecting loneliness in elderly communities.

Incremental Anomaly Detection with Guarantee in the Internet of Medical Things
Xiayan Ji, Hyonyoung Choi, Oleg Sokolsky, Insup Lee
8th ACM/IEEE IoT Design and Implementation, 2023.
PDF

An incremental anomaly detection framework for IoT medical devices.

Autowean: Extubation Failure Risk Estimation for Critically Ill Patients
Jean Park, Amanda Watson, Xiayan Ji, Kyle C Quinn, James Weimer, Insup Lee
IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2022.
PDF

A decision-support tool for estimating extubation failure risk in critically ill patients.

Pac-Wrap: Semi-supervised PAC Anomaly Detection
Shuo Li*, Xiayan Ji*, Edgar Dobriban, Oleg Sokolsky, Insup Lee
28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
PDF / GitHub

A semi-supervised anomaly detection framework with PAC guarantees.

GTX: Ground Truth eXplanation Dataset
Xiayan Ji, Anton Xue, Rajeev Alur, Oleg Sokolsky, Insup Lee, Eric Wong
Submitted, 2023.
PDF / GitHub

A dataset for evaluating and benchmarking explainability methods.

Filtering Spurious Features for Robust Out-of-Distribution Detection
Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee

SMILE: Sensing and Mitigating Loneliness in older adults with diffusion-based counterfactual Explanations
Under review at SenSys 2025

An approach for detecting and mitigating social isolation through personalized interventions.

MINA: Mining Important Nodes Using Anomalous Interaction with Uncertainty Estimates
Ongoing research

An advanced framework leveraging LLMs for graph-based anomaly detection with uncertainty quantification.