Novel Cell Segmentation and Online Learning Algorithms for Cell Phase Identification in Automated Time-lapse Microscopy. - Meng Wang; Xiaobo Zhou 001; Fuhai Li 001; Jeremy F. Huckins; Randy W. King; Stephen T. C. Wong (ISBI, 2007)

Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy. - Meng Wang; Xiaobo Zhou 001; Fuhai Li 001; Jeremy F. Huckins; Randall W. King; Stephen T. C. Wong (Bioinform., 2008)

Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing. - Rui Wang 016; Weichen Wang 001; Alex daSilva; Jeremy F. Huckins; William M. Kelley; Todd F. Heatherton; Andrew T. Campbell (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Predicting Brain Functional Connectivity Using Mobile Sensing. - Mikio Obuchi; Jeremy F. Huckins; Weichen Wang 001; Alex daSilva; Courtney Rogers; Eilis Murphy; Elin Hedlund; Paul Holtzheimer; Shayan Mirjafari; Andrew T. Campbell (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

On the Transition of Social Interaction from In-Person to Online: Predicting Changes in Social Media Usage of College Students during the COVID-19 Pandemic based on Pre-COVID-19 On-Campus Colocation. - Weichen Wang 001; Jialing Wu; Subigya Kumar Nepal; Alex daSilva; Elin Hedlund; Eilis Murphy; Courtney Rogers; Jeremy F. Huckins (ICMI, 2021)

Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. - Erica L. Busch; Lukas Slipski; Feilong Ma; J. Swaroop Guntupalli; Matteo Visconti di Oleggio Castello; Jeremy F. Huckins; Samuel A. Nastase; Maria Ida Gobbini; Tor D. Wager; James V. Haxby (NeuroImage, 2021)

COVID Student Study: A Year in the Life of College Students during the COVID-19 Pandemic Through the Lens of Mobile Phone Sensing. - Subigya Nepal; Weichen Wang 001; Vlado Vojdanovski; Jeremy F. Huckins; Alex daSilva; Meghan Meyer; Andrew T. Campbell (CHI, 2022)

First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile Sensing. - Weichen Wang 001; Subigya Nepal; Jeremy F. Huckins; Lessley Hernandez; Vlado Vojdanovski; Dante Mack; Jane Plomp; Arvind Pillai; Mikio Obuchi; Alex daSilva; Eilis Murphy; Elin Hedlund; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling. - Xuhai Xu; Xin Liu 034; Han Zhang 004; Weichen Wang 001; Subigya Nepal; Yasaman S. Sefidgar; Woosuk Seo; Kevin S. Kuehn; Jeremy F. Huckins; Margaret E. Morris; Paula S. Nurius; Eve A. Riskin; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App. - Subigya Nepal; Arvind Pillai; William Campbell; Talie Massachi; Eunsol Soul Choi; Xuhai Xu; Joanna Kuc; Jeremy F. Huckins; Jason Holden 001; Colin A. Depp; Nicholas C. Jacobson; Mary P. Czerwinski; et al. (CHI Extended Abstracts, 2024)

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. - Subigya Nepal; Arvind Pillai; William Campbell; Talie Massachi; Michael V. Heinz; Ashmita Kunwar; Eunsol Soul Choi; Xuhai Orson Xu; Joanna Kuc; Jeremy F. Huckins; Jason Holden 001; Sarah M. Preum; et al. (CoRR, 2024)

Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic. - Subigya Nepal; Wenjun Liu; Arvind Pillai; Weichen Wang 001; Vlado Vojdanovski; Jeremy F. Huckins; Courtney Rogers; Meghan Meyer; Andrew T. Campbell (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. - Subigya Nepal; Arvind Pillai; William Campbell; Talie Massachi; Michael V. Heinz; Ashmita Kunwar; Eunsol Soul Choi; Xuhai Xu; Joanna Kuc; Jeremy F. Huckins; Jason Holden 001; Sarah M. Preum; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)