Simulating soft tissues using a GPU approach of the mass-spring model. - Christian Andres Diaz Leon; Steven Eliuk; Helmuth Trefftz Gómez (VR, 2010)

dMath: Linear Algebra for Scaleout GP-GPUs. - Steven Eliuk; Cameron Upright; Anthony Skjellum (HPCC/SmartCity/DSS, 2016)

Personalized object recognition for augmenting human memory. - Hosub Lee 001; Cameron Upright; Steven Eliuk; Alfred Kobsa (UbiComp Adjunct, 2016)

dMath: A Scalable Linear Algebra and Math Library for Heterogeneous GP-GPU Architectures. - Steven Eliuk; Cameron Upright; Anthony Skjellum (CoRR, 2016)

dMath: Distributed Linear Algebra for DL. - Steven Eliuk; Cameron Upright; Hars Vardhan; Stephen Walsh; Trevor Gale (CoRR, 2016)

Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud. - Christian Pinto; Yiannis Gkoufas; Andrea Reale; Seetharami Seelam; Steven Eliuk (CoRR, 2018)

Personalized Visual Recognition via Wearables: A First Step Toward Personal Perception Enhancement. - Hosub Lee 001; Cameron Upright; Steven Eliuk; Alfred Kobsa (Personal Assistants, 2018)

AWDF: An Adaptive Weighted Deep Fusion Architecture for Multi-modality Learning. - Qinghan Xue; Abhishek Kolagunda; Steven Eliuk; Xiaolong Wang 006 (IEEE BigData, 2019)

Continual Learning Long Short Term Memory. - Xin Guo 007; Yu Tian; Qinghan Xue; Panos Lampropoulos; Steven Eliuk; Kenneth E. Barner; Xiaolong Wang 006 (EMNLP (Findings), 2020)

Training Better Deep Neural Networks with Uncertainty Mining Net. - Yang Sun; Abhishek Kolagunda; Steven Eliuk; Xiaolong Wang 006 (BMVC, 2021)