Papers

Our paper titled “A Signal-Level Transfer Learning Framework for Autonomous Reconfiguration of Wearable Systems” is accepted in IEEE Transactions on Mobile Computing.

Our paper titled “Scalable Distributed Memory Community Detection Using Vite” is accepted in IEEE High Performance Extreme Computing Conference (HPEC ‘18).

Our paper titled “Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction” is accepted in IEEE Transactions on Knowledge and Data Engineering.

Our papers titled “Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer” and “Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach” are accepted in IEEE Engineering in Medicine and Biology Society Conference (EMBC 2018).

Our paper titled “Multi-metric Graph Query Performance Prediction” is accepted in 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018).

Our paper titled “Distributed Louvain Algorithm for Graph Community Detection” is accepted in IEEE International Parallel and Distributed Processing Symposium (IPDPS 2018).

Our paper titled “Network Similarity Prediction in Time-evolving Graphs: A Machine Learning Approach” is accepted in 32nd IEEE International Parallel and Distributed Processing Workshop on the Intersection of Graph Algorithms and Machine Learning (GraML 2018).

Our paper titled “Co-infections with multiple genotypes of Anaplasma marginale in cattle indicate pathogen diversity” is accepted in the journal of “Parasites & Vectors”.

Our paper titled “Transfer Learning Algorithms for Autonomous Configuration of Wearable Systems” is accepted in IEEE Big Data 2016.

Our paper titled “A Closed-loop Deep Learning Architecture for Robust Activity Recognition using Wearable Sensors” is accepted in Big Data 2017.