Beiyu Lin

According to our database, Beiyu Lin authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward a comprehensive understanding of eye-level urban greenness: a systematic review.

Jingjing Yan, Xiao Huang, Siqin Wang, Yiyi He, Xiao Li, Alexander Hohl, Xiaojiang Li, Mohamed Aly, Beiyu Lin

Int. J. Digit. Earth, December, 2023

Learning Spatio-Temporal Features via 3D CNNs to Forecast Time-to-Accident.

Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Modeling Human Frailty with a Smart Home-Based Approximation of Entropy.

Katherine A. Wuestney, Beiyu Lin, Diane J. Cook, Roschelle L. Fritz

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation.

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Poster: Imitation Learning for Hearing Loss Detection with Cortical Speech-Evoked Responses.

Cicelia Siu, Beiyu Lin

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Poster: SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data.

Wenkai Li, Theo Gueuret, Beiyu Lin

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Poster: Unsupervised Learning for Extreme Space Weather Detection based on Spectrograms.

Louis Barbier, Beiyu Lin

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Leveraging spatio-temporal features to forecast time-to-accident.

Taif Anjum, Beiyu Lin, Apurva Narayan

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract).

Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2020

Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning.

Beiyu Lin, Diane J. Cook

Sensors, 2020

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

2019

Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home.

Alireza Ghods, Kathleen Caffrey, Beiyu Lin, Kylie Fraga, Roschelle Fritz, Maureen Schmitter-Edgecombe, Christopher D. Hundhausen, Diane J. Cook

IEEE J. Biomed. Health Informatics, 2019

2017

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