Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. - Bingzhe Li; Yaobin Qin; Bo Yuan 001; David J. Lilja (ICCD, 2017)

HyperProtect: Enhancing the Performance of a Dynamic Backup System Using Intelligent Scheduling. - Yaobin Qin; Brandon Hoffmann; David J. Lilja (IPCCC, 2018)

Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning. - Yaobin Qin; Bingzhe Li; David J. Lilja (UEMCON, 2018)

Exploring A Forecasting Structure for the Capacity Usage in Backup Storage Systems. - Yaobin Qin; Brandon Hoffmann; Yuwei Wang; David J. Lilja (UEMCON, 2019)

Neural Network Classifiers Using a Hardware-Based Approximate Activation Function with a Hybrid Stochastic Multiplier. - Bingzhe Li; Yaobin Qin; Bo Yuan 001; David J. Lilja (ACM J. Emerg. Technol. Comput. Syst., 2019)

PBCCF: Accelerated Deduplication by Prefetching Backup Content Correlated Fingerprints. - Yaobin Qin; Xianbo Zhang; David J. Lilja (ICCD, 2020)

AdaEmb-Encoder: Adaptive Embedding Spatial Encoder-Based Deduplication for Backing Up Classifier Training Data. - Yaobin Qin; David J. Lilja (IPCCC, 2020)