Zhongda Yang is an author at University of Pittsburgh specializing in mobile computing, distributed learning, and parallel computing.
Top concepts
EngineeringData ScienceDeep LearningComputer ScienceMachine LearningMobile ComputingParallel ComputingComputer EngineeringDeep Neural NetworksDistributed Learning
Publications per year
2017–2017
1
1
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs
Jiachen Mao, Zhongda Yang, Wei Wen et al. · 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) · 2017 · 85 citations
Convolutional Neural Network, Distributed Intelligent System, Engineering +21
Rows per page
1–1 of 1