bespoKV: application tailored scale-out key-value stores. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Jingoo Han; Hyogi Sim; Dongyoon Lee; Fred Douglis; Ali Raza Butt (SC, 2018)

A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. - Jingoo Han; Luna Xu; M. Mustafa Rafique; Ali Raza Butt; Seung-Hwan Lim (CLUSTER, 2019)

MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. - Jingoo Han; M. Mustafa Rafique; Luna Xu; Ali Raza Butt; Seung-Hwan Lim; Sudharshan S. Vazhkudai (CCGRID, 2020)

Customizable Scale-Out Key-Value Stores. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Jingoo Han; Hyogi Sim; Dongyoon Lee; Fred Douglis; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2020)

TIFF: Tokenized Incentive for Federated Learning. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (CLOUD, 2022)

Heterogeneity-Aware Adaptive Federated Learning Scheduling. - Jingoo Han; Ahmad Faraz Khan 001; Syed Zawad; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Feng Yan 001; Ali Raza Butt (IEEE Big Data, 2022)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models. - Ammar Ahmed; Sheng Di; Franck Cappello; Zirui Liu 001; Jingoo Han; Ali Anwar 001 (CoRR, 2025)