4 citations · 9 across the 8 of their papers we have counts for
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cs.LG2020
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences
Congyu Wu
In this paper we explore previously unidentified connections between relational event model (REM) from the field of network science and inverse reinforcement learning (IRL) from th…
cs.HC2020★ 4 cited
Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data
Congyu Wu, Amanda N. Barczyk, R. Cameron Craddock +6
Loneliness is a widely affecting mental health symptom and can be mediated by and co-vary with patterns of social exposure. Using momentary survey and smartphone sensing data colle…
cs.HC2020★ 1 cited
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, Zoltan Nagy +10
As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users' daily lives with unprecedented c…