Analyzing the Relationship between Human Behavior and Indoor Air Quality. - Beiyu Lin; Yibo Huangfu; Nathan Lima; Bertram Jobson; Max Kirk; Patrick O'Keeffe; Shelley N. Pressley; Von Walden; Brian T. Lamb; Diane J. Cook (J. Sens. Actuator Networks, 2017)

Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home. - Alireza Ghods 002; Kathleen Caffrey; Beiyu Lin; Kylie Fraga; Roschelle Fritz; Maureen Schmitter-Edgecombe; Christopher D. Hundhausen; Diane J. Cook (IEEE J. Biomed. Health Informatics, 2019)

Using continuous sensor data to formalize a model of in-home activity patterns. - Beiyu Lin; Diane J. Cook; Maureen Schmitter-Edgecombe (J. Ambient Intell. Smart Environ., 2020)

Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning. - Beiyu Lin; Diane J. Cook (Sensors, 2020)

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. - Xiaowei Jia; Beiyu Lin; Jacob Zwart; Jeffrey M. Sadler; Alison P. Appling; Samantha Oliver; Jordan S. Read (SDM, 2021)

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). - Guangyu Meng; Qisheng Jiang 001; Kaiqun Fu; Beiyu Lin; Chang-Tien Lu; Zhiqian Chen (AAAI, 2022)

Leveraging spatio-temporal features to forecast time-to-accident. - Taif Anjum; Beiyu Lin; Apurva Narayan (SIGSPATIAL/GIS, 2022)

Poster: Unsupervised Learning for Extreme Space Weather Detection based on Spectrograms. - Louis Barbier; Beiyu Lin (SEC, 2022)

Poster: SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data. - Wenkai Li; Théo Gueuret; Beiyu Lin (SEC, 2022)

Poster: Imitation Learning for Hearing Loss Detection with Cortical Speech-Evoked Responses. - Cicelia Siu; Beiyu Lin (SEC, 2022)

Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. - Guangyu Meng; Qisheng Jiang 001; Kaiqun Fu; Beiyu Lin; Chang-Tien Lu; Zhqian Chen (SDM, 2022)

Modeling Human Frailty with a Smart Home-Based Approximation of Entropy. - Katherine A. Wuestney; Beiyu Lin; Diane J. Cook; Roschelle L. Fritz (BCB, 2023)

Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. - Taif Anjum; Louis Chirade; Beiyu Lin; Apurva Narayan (ICAART (3), 2023)

Toward a comprehensive understanding of eye-level urban greenness: a systematic review. - Jingjing Yan; Xiao Huang 003; Siqin Wang; Yiyi He; Xiao Li 015; Alexander Hohl; Xiaojiang Li; Mohamed Aly; Beiyu Lin (Int. J. Digit. Earth, 2023)

Smartphone Usage Data Cleaning Using LLM-Based Processing. - Mehdi Zaeifi; Beiyu Lin (IEEE Big Data, 2024)

Decoding Neighborhood Environments with Large Language Models. - Andrew Cart; Shaohu Zhang; Melanie Escue; Xugui Zhou; Haitao Zhao; Prashanth Busireddygari; Beiyu Lin; Shuang Li (DSN-W, 2025)

Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications. - Nam Huynh; Beiyu Lin (CoRR, 2025)

LLMs for Explainable AI: A Comprehensive Survey. - Ahsan Bilal; David Ebert; Beiyu Lin (CoRR, 2025)