Beiyu Lin

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Traffic Accidents

Unsupervised Learning

Behavior Patterns

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Katherine A. Wuestney, Beiyu Lin, Diane J. Cook, Roschelle L. Fritz
Modeling Human Frailty with a Smart Home-Based Approximation of Entropy. BCB (2023)
Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan
Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident. ICAART (3) (2023)
Jingjing Yan, Xiao Huang, Siqin Wang, Yiyi He, Xiao Li, Alexander Hohl, Xiaojiang Li, Mohamed Aly, Beiyu Lin
Toward a comprehensive understanding of eye-level urban greenness: a systematic review. Int. J. Digit. Earth 16 (2) (2023)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM (2022)
Wenkai Li, Theo Gueuret, Beiyu Lin
Poster: SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data. SEC (2022)
Cicelia Siu, Beiyu Lin
Poster: Imitation Learning for Hearing Loss Detection with Cortical Speech-Evoked Responses. SEC (2022)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI (2022)
Louis Barbier, Beiyu Lin
Poster: Unsupervised Learning for Extreme Space Weather Detection based on Spectrograms. SEC (2022)
Taif Anjum, Beiyu Lin, Apurva Narayan
Leveraging spatio-temporal features to forecast time-to-accident. SIGSPATIAL/GIS (2022)
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. SDM (2021)
Beiyu Lin, Diane J. Cook, Maureen Schmitter-Edgecombe
Using continuous sensor data to formalize a model of in-home activity patterns. J. Ambient Intell. Smart Environ. 12 (3) (2020)
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks. CoRR (2020)
Beiyu Lin, Diane J. Cook
Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning. Sensors 20 (18) (2020)
Alireza Ghods, Kathleen Caffrey, Beiyu Lin, Kylie Fraga, Roschelle Fritz, Maureen Schmitter-Edgecombe, Christopher D. Hundhausen, Diane J. Cook
Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Beiyu Lin, Yibo Huangfu, Nathan Lima, Bertram Jobson, Max Kirk, Patrick O'Keeffe, Shelley N. Pressley, Von Walden, Brian T. Lamb, Diane J. Cook
Analyzing the Relationship between Human Behavior and Indoor Air Quality. J. Sens. Actuator Networks 6 (3) (2017)