Publications

2023

• Taif Anjum, Louis Chirade, Beiyu Lin, Apurva Narayan. Learning Spatio-temporal Features via 3D CNNs to Forecast Time-To-Accident, ICAART 2023 (accepted)
• Seungman Park *, Anna L. Chien, Beiyu Lin, And Keva Li. FACES: A deep learning-based parametric model to improve diagnosis of rosacea, journal: Applied Science (accepted).


2022

• Louis Barbier, Beiyu Lin. Unsupervised Learning for Extreme Space Weather Detection, Posters and Demos ACM/IEEE Symposium on Edge Computing’22 (accepted).
• Cicelia Siu, Beiyu Lin. Imitation Learning for cortical speech-evoked responses, Posters and Demos ACM/IEEE Symposium on Edge Computing’22 (accepted).
• Wenkai Li,Theo Gueuret, Beiyu Lin. SlideCNN: Deep Learning for Auditory Spatial Scenes with Limited Annotated Data, Posters and Demos ACM/IEEE Symposium on Edge Computing’22(accepted).
• Taif Anjum, Beiyu Lin, Apurva Narayan. Leveraging Spatio-temporal Features to Forecast Time-To-Accident, ACM SIGSPATIAL Student Research Competition’22 (to appear).
• Meng, G., Jiang, Q., Fu, K. , B. Lin, C. Lu, and Z. Chen. Early forecasting of the impact of traffic accidents using a single shot observation. SIAM International Conference on Data Mining (SDM)acceptance rate of 27.8%, 2022.
• Meng, G., Jiang, Q., Fu, K. , B. Lin, C. Lu, and Z. Chen. Early forecast of traffic accident impact based on a single-snapshot observation. AAAI Student Poster Session, 2022.
• B. Lin, X. Jia, Chauhan, S., H. Xu, and X. Huang. Behavior modeling via cursor movement data. IEEE Rising Stars Poster Competition (People Choice Award), 2022.


2021

• Sophanna Ek, Marco Curci, Xiaokun Yang, Beiyu Lin, Hailu Xu, 2021 Sentiment Analysis of Long-term Social Data during the COVID-19 Pandemic Int'l Conf on Internet Computing and Internet of Things (ICOMP).
• Lin, B. and Jia, X., Chen, Z. 2021 Studying Spread Patterns of COVID-19 based on Spatiotemporal Data SIAM International Conference on Data Mining (SDM) Tutorial.
• Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffery Sadler, Alison Appling, Samantha Oliver, Jordan Read, 2021 Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks arXiv preprint


2020

• Lin, B. 2020 Population-Level Behavior Analysis Based on Smart Environment Sensor Data
• Lin, B. and Cook, D. 2020 Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning Sensors
• Lin, B., Cook, D., Schmitter-Edgecombe, M., 2020. Using Continuous Sensor Data to Formalize a Model of In-Home Activity Patterns. Journal of Ambient Intelligence and Smart Environments.


2019

• Beiyu Lin. Population level behavior analysis and its applications in healthcare. In Ph.D. Forum at SIAM International Conference on Data Mining Doctoral Forum, Alberta, Canada, 2019.
• Beiyu Lin. Constructing an ecologically-valid formal markovian model of human activity patterns. In General Poster Session at Grace Hopper Celebration, Orlando, FL, 2019.
• YHuangfu, Y., Lima, N.M., O'Keeffe, P.T., Kirk, W.M., Lamb, B.K., Pressley, S.N., Lin, B., Cook, D.J., Walden, V.P. and Jobson, B.T., 2019. Diel variation of formaldehyde levels and other VOCs in homes driven by temperature dependent infiltration and emission rates. Building and Environment, 159, p.106153.


2018

• Beiyu Lin. Identifying and modeling the patterns of human activity routines. In Research Exposition at Graduate and Professional Student Association, Pullman, WA, 2018.
• Alireza Ghods, Kathleen Caffrey, Beiyu Lin, Kylie Fraga, Roschelle Fritz, Maureen Schmitter-Edgecombe, Chris Hundhausen, and Diane J.Cook. Iterative Design of Visual Analytics for a Clinician-in-the-loop Smart Home IEEE Journal of Biomedical and Health Informatics.
• Yibo Huangfu, Nathan Lima, Patrick O'Keeffe, Beiyu Lin, Diane J. Cook, Von P. Walden, William M. Kirk, Shelley N. Pressley, Brian K. Lamb, Bertram T. Jobson. Indoor air toxic gases levels in a net-zero energy house under multiple ven-tilation system settings, has been accepted as a podium presentation at INDOOR AIR 2018, the 15th Conference of the International Society of Indoor Air Quality and Climate (ISIAQ).
• Yibo Huangfu, Nathan Lima, Patrick O'Keeffe, Beiyu Lin, Diane J. Cook, Von P. Walden, William M. Kirk, Shelley N. Pressley, Brian K. Lamb, Bertram T. Jobson. The major role of temperature on indoor concentrations of air toxic VOCs in 9 houses based on in-situ high time resolution measurements, has been accepted as a podium presentation at INDOOR AIR 2018, the 15th Conference of the International Society of Indoor Air Quality and Climate (ISIAQ).


2017

• W. Max Kirk, Madeline Fuchs, Yibo Huangfu, Nathan Lima, Patrick O'Keeffe, Beiyu Lin, Tom Jobson, Shelley Pressley, Von Walden, Diane Cook & Brian K. Lamb. The impact of wildlife smoke fires in the Pacific Northwest on indoor air quality, the ASHRAE Journal of Science and Technology for the Built Environment, 2017, Oct. 30th.
• B. Lin, Y. Huangfu, N. Lima, B. Jobson, M.Kirk, P. O'Keeffe, S. N. Pressley, V. Walden, B. Lamb, and D. J. Cook.Analyzing the Relationship between Human Behavior and Indoor Air Quality, Journal of Sensor and Actuator Networks, 2017, 6(3), 13.