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Ao Ren

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Papers (10)

  1. A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology cs.NE · 2019 · author #2
  2. ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers cs.LG · 2018 · author #1
  3. Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing cs.NE · 2018 · author #3
  4. Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs cs.DC · 2018 · author #2
  5. An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing cs.NE · 2018 · author #4
  6. Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems cs.ET · 2018 · author #1
  7. VIBNN: Hardware Acceleration of Bayesian Neural Networks cs.LG · 2018 · author #2
  8. Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations cs.AI · 2017 · author #3
  9. Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks cs.CV · 2017 · author #5
  10. SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing cs.CV · 2016 · author #1

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