On Opinion Characterization in Social Sensing: A Multi-view Subspace Learning Approach. - Yang Zhang 031; Nathan Vance; Daniel Zhang 001; Dong Wang 002 (DCOSS, 2018)

Optimizing Online Task Allocation for Multi-Attribute Social Sensing. - Yang Zhang 031; Daniel Zhang 001; Nathan Vance; Dong Wang 002 (ICCCN, 2018)

Privacy-Aware Edge Computing in Social Sensing Applications Using Ring Signatures. - Nathan Vance; Daniel Yue Zhang; Yang Zhang 031; Dong Wang 002 (ICPADS, 2018)

A Light-Weight and Quality-Aware Online Adaptive Sampling Approach for Streaming Social Sensing in Cloud Computing. - Yang Zhang 031; Daniel Zhang 001; Nathan Vance; Qi Li 016; Dong Wang 002 (ICPADS, 2018)

Robust State Prediction with Incomplete and Noisy Measurements in Collaborative Sensing. - Daniel Zhang 001; Yang Zhang 031; Qi Li 016; Nathan Vance; Dong Wang 002 (MASS, 2018)

Demo Abstract: Real-Time Heterogeneous Edge Computing System for Social Sensing Applications. - Daniel Zhang 001; Nathan Vance; Dong Wang 002 (RTAS, 2018)

Simulating Large-Scale Social Sensing Based Edge Computing Systems with Heterogeneous Network Configurations. - Nathan Vance; Ryan Mackey; Daniel Zhang 001; Dong Wang 002 (SECON, 2018)

Who to select: Identifying critical sources in social sensing. - Dong Wang 002; Nathan Vance; Chao Huang 001 (Knowl. Based Syst., 2018)

Towards Optimal Incentive-Driven Verification in Social Sensing Based Smart City Applications. - Nathan Vance; Daniel Zhang 001; Yang Zhang 031; Dong Wang 002 (HPCC/SmartCity/DSS, 2019)

EdgeCache: A Game-Theoretic Edge-Based Content Caching System for Crowd Video Sharing. - Nathan Vance; Daniel Zhang 001; Dong Wang 002 (HPCC/SmartCity/DSS, 2019)

When Social Sensing Meets Edge Computing: Vision and Challenges. - Daniel Zhang 001; Nathan Vance; Dong Wang 002 (ICCCN, 2019)

HeteroEdge: taming the heterogeneity of edge computing system in social sensing. - Daniel Yue Zhang; Md. Tahmid Rashid; Xukun Li; Nathan Vance; Dong Wang 002 (IoTDI, 2019)

EdgeBatch: Towards AI-Empowered Optimal Task Batching in Intelligent Edge Systems. - Daniel Zhang 001; Nathan Vance; Yang Zhang 031; Md. Tahmid Rashid; Dong Wang 002 (RTSS, 2019)

Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach. - Nathan Vance; Md. Tahmid Rashid; Daniel Zhang 001; Dong Wang 002 (SMARTCOMP, 2019)

An online reinforcement learning approach to quality-cost-aware task allocation for multi-attribute social sensing. - Yang Zhang 031; Daniel Yue Zhang; Nathan Vance; Dong Wang 002 (Pervasive Mob. Comput., 2019)

On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications. - Daniel Zhang 001; Dong Wang 002; Nathan Vance; Yang Zhang 031; Steven Mike (IEEE Trans. Big Data, 2019)

Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results. - Jeremy Speth; Nathan Vance; Adam Czajka; Kevin W. Bowyer; Diane Wright; Patrick J. Flynn (IJCB, 2021)

Unifying frame rate and temporal dilations for improved remote pulse detection. - Jeremy Speth; Nathan Vance; Patrick J. Flynn; Kevin W. Bowyer; Adam Czajka (Comput. Vis. Image Underst., 2021)

Remote Pulse Estimation in the Presence of Face Masks. - Jeremy Speth; Nathan Vance; Patrick J. Flynn; Kevin W. Bowyer; Adam Czajka (CVPR Workshops, 2022)

Digital and Physical-World Attacks on Remote Pulse Detection. - Jeremy Speth; Nathan Vance; Patrick J. Flynn; Kevin W. Bowyer; Adam Czajka (WACV, 2022)

Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results. - Nathan Vance; Jeremy Speth; Siamul Karim Khan; Adam Czajka; Kevin W. Bowyer; Diane Wright; Patrick J. Flynn (IEEE Trans. Biom. Behav. Identity Sci., 2022)

Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation. - Jeremy Speth; Nathan Vance; Benjamin Sporrer; Lu Niu; Patrick J. Flynn; Adam Czajka (BIOSIGNALS, 2023)

Full-Body Cardiovascular Sensing with Remote Photoplethysmography. - Lu Niu; Jeremy Speth; Nathan Vance; Benjamin Sporrer; Adam Czajka; Patrick J. Flynn (CVPR Workshops, 2023)

Non-Contrastive Unsupervised Learning of Physiological Signals from Video. - Jeremy Speth; Nathan Vance; Patrick J. Flynn; Adam Czajka (CVPR, 2023)

Promoting Generalization in Cross-Dataset Remote Photoplethysmography. - Nathan Vance; Jeremy Speth; Benjamin Sporrer; Patrick J. Flynn (CVPR Workshops, 2023)

Refining Remote Photoplethysmography Architectures using CKA and Empirical Methods. - Nathan Vance; Patrick J. Flynn (CVPR Workshops, 2024)

MSPM: A Multi-Site Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation. - Jeremy Speth; Nathan Vance; Benjamin Sporrer; Lu Niu; Patrick J. Flynn; Adam Czajka (CoRR, 2024)

Measuring Domain Shifts using Deep Learning Remote Photoplethysmography Model Similarity. - Nathan Vance; Patrick J. Flynn (CoRR, 2024)

SiNC+: Adaptive Camera-Based Vitals with Unsupervised Learning of Periodic Signals. - Jeremy Speth; Nathan Vance; Patrick J. Flynn; Adam Czajka (CoRR, 2024)

MSPM: A Multisite Physiological Monitoring Dataset for Remote Pulse, Respiration, and Blood Pressure Estimation. - Jeremy Speth; Nathan Vance; Benjamin Sporrer; Lu Niu; Patrick J. Flynn; Adam Czajka (IEEE Trans. Instrum. Meas., 2024)