Enabling scientific data storage and processing on big-data systems. - Saman Biookaghazadeh; Yiqi Xu; Shujia Zhou; Ming Zhao 002 (IEEE BigData, 2015)

Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems. - Saman Biookaghazadeh; Shujia Zhou; Ming Zhao 002 (NAS, 2017)

Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? - Ragini Sharma; Saman Biookaghazadeh; Baoxin Li; Ming Zhao 002 (EDGE, 2018)

Are FPGAs Suitable for Edge Computing? - Saman Biookaghazadeh; Ming Zhao 002; Fengbo Ren (HotEdge, 2018)

Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? - Ragini Sharma; Saman Biookaghazadeh; Ming Zhao 002 (HPDC (Posters/Doctoral Consortium), 2018)

Exploring the capabilities of mobile devices in supporting deep learning. - Yitao Chen; Saman Biookaghazadeh; Ming Zhao 002 (SEC, 2019)

KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. - Saman Biookaghazadeh; Yitao Chen; Kaiqi Zhao 002; Ming Zhao 002 (OpML, 2019)

Characterizing Loop Acceleration in Heterogeneous Computing. - Saman Biookaghazadeh; Fengbo Ren; Ming Zhao 002 (CLOUD, 2021)

Toward Multi-FPGA Acceleration of the Neural Networks. - Saman Biookaghazadeh; Pravin Kumar Ravi; Ming Zhao 002 (ACM J. Emerg. Technol. Comput. Syst., 2021)