Adaptive mobile behavior change intervention using reinforcement learning. - Lihua Cai; Congyu Wu; Kiana Jafari Meimandi; Matthew S. Gerber (ICCT, 2017)

Vector Space Representation of Bluetooth Encounters for Mental Health Inference. - Congyu Wu; Lihua Cai; Matthew S. Gerber; Mehdi Boukhechba; Laura E. Barnes (UbiComp/ISWC Adjunct, 2018)

Forecasting Civil Unrest Using Social Media and Protest Participation Theory. - Congyu Wu; Matthew S. Gerber (IEEE Trans. Comput. Soc. Syst., 2018)

SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health. - Sanjana Mendu; Mehdi Boukhechba; Anna N. Baglione; Sonia Baee; Congyu Wu; Laura E. Barnes (ICSC, 2019)

Adaptive Passive Mobile Sensing Using Reinforcement Learning. - Lihua Cai; Mehdi Boukhechba; Navreet Kaur 001; Congyu Wu; Laura E. Barnes; Matthew S. Gerber (WOWMOM, 2019)

Multi-Modal Data Collection for Measuring Health, Behavior, and Living Environment of Large-Scale Participant Cohorts: Conceptual Framework and Findings from Deployments. - Congyu Wu; Hagen Fritz; Zoltán Nagy 002; Juan P. Maestre; Edison Thomaz; Christine Julien 001; Darla M. Castelli; Kaya de Barbaro; Gabriella M. Harari; R. Cameron Craddock; Kerry A. Kinney; Samuel D. Gosling; et al. (CoRR, 2020)

Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data. - Congyu Wu; Amanda N. Barczyk; R. Cameron Craddock; Gabriella M. Harari; Edison Thomaz; Jason D. Shumake; Christopher G. Beevers; Samuel D. Gosling; David M. Schnyer (CoRR, 2020)

A Framework for Understanding the Relationship between Social Media Discourse and Mental Health. - Sanjana Mendu; Anna N. Baglione; Sonia Baee; Congyu Wu; Brandon Ng; Adi Shaked; Gerald Clore; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Hum. Comput. Interact., 2020)

Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditions. - Hagen Fritz; Congyu Wu; Kerry A. Kinney; Zoltán Nagy 002 (BuildSys, 2021)

Circadian Rhythms are Not Captured Equal: Exploring Circadian Metrics Extracted by Different Computational Methods from Smartphone Accelerometer and GPS Sensors in Daily Life Tracking. - Congyu Wu; Megan McMahon; Hagen Fritz; David M. Schnyer (CoRR, 2021)

Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: a GPS-focused Smartphone Sensing Study. - Congyu Wu; Hagen Fritz; R. Cameron Craddock; Kerry A. Kinney; Darla M. Castelli; David M. Schnyer (CoRR, 2021)

Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: A GPS-Focused Smartphone Sensing Study. - Congyu Wu; Hagen Fritz; Melissa Miller; R. Cameron Craddock; Kerry A. Kinney; Darla M. Castelli; David M. Schnyer (Frontiers Digit. Health, 2021)

Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery. - Congyu Wu; Aaron Fisher; David M. Schnyer (CoRR, 2022)

Connections Between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences. - Congyu Wu (IEEE Trans. Comput. Soc. Syst., 2022)

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline. - Zhiyuan Wang 003; Mingyue Tang; Maria A. Larrazabal; Emma R. Toner; Mark Rucker; Congyu Wu; Bethany A. Teachman; Mehdi Boukhechba; Laura E. Barnes (EMBC, 2023)

CommSense: A Wearable Sensing Computational Framework for Evaluating Patient-Clinician Interactions. - Zhiyuan Wang 003; Nusayer Hassan; Virginia LeBaron; Tabor Flickinger; David Ling; James Edwards; Congyu Wu; Mehdi Boukhechba; Laura E. Barnes (Proc. ACM Hum. Comput. Interact., 2024)