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Renjie Wei

PhD Student (2022)

Peking University

Interests
  • Efficient AI
Education
  • B.S. in Microelectronics, 2022

    Nanjing University

Latest

  • MatMoE: Matryoshka Mixture-of-Experts with Dynamic Mixed-Precision Quantization for Efficient Inference
  • LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design
  • SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
  • ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer
  • A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation
  • MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks
  • Not your father’s stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design
  • Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network
  • Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion

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