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2020 – today
- 2020
[c6]Yaobin Qin, Xianbo Zhang, David J. Lilja:
PBCCF: Accelerated Deduplication by Prefetching Backup Content Correlated Fingerprints. ICCD 2020: 146-154- [c5]Yaobin Qin, David J. Lilja:
AdaEmb-Encoder: Adaptive Embedding Spatial Encoder-Based Deduplication for Backing Up Classifier Training Data. IPCCC 2020: 1-8
2010 – 2019
- 2019
- [j1]Bingzhe Li
, Yaobin Qin, Bo Yuan, David J. Lilja:
Neural Network Classifiers Using a Hardware-Based Approximate Activation Function with a Hybrid Stochastic Multiplier. ACM J. Emerg. Technol. Comput. Syst. 15(1): 12:1-12:21 (2019) - [c4]Yaobin Qin, Brandon Hoffmann, Yuwei Wang, David J. Lilja:
Exploring A Forecasting Structure for the Capacity Usage in Backup Storage Systems. UEMCON 2019: 126-134 - 2018
- [c3]Yaobin Qin, Brandon Hoffmann, David J. Lilja:
HyperProtect: Enhancing the Performance of a Dynamic Backup System Using Intelligent Scheduling. IPCCC 2018: 1-8 - [c2]Yaobin Qin, Bingzhe Li, David J. Lilja:
Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning. UEMCON 2018: 673-682 - 2017
- [c1]Bingzhe Li, Yaobin Qin, Bo Yuan, David J. Lilja:
Neural Network Classifiers Using Stochastic Computing with a Hardware-Oriented Approximate Activation Function. ICCD 2017: 97-104
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