About Li Zhang Li Zhang Ph.D. Student, Electrical and Computer Engineering neural network accelerator convolutional neural network software/hardware co-design Events Presented Events Jul 20 - Jul 26, 2025 Hardware Centric Quantized Convolutional Neural Network and Algorithms Li Zhang, Ph.D. Student, Electrical and Computer Engineering Jul 24, 09:00 - 10:00 B3 L5 R5209 machine learning accelerators FPGA This thesis addresses the challenges of deploying quantized convolutional neural networks (QCNNs) on resource-constrained edge devices by proposing two novel hardware-software co-design frameworks: one for deriving lightweight, hardware-friendly models validated on FPGA, and another for hardware-aware mixed-precision quantization on compute-in-memory accelerators.
Hardware Centric Quantized Convolutional Neural Network and Algorithms Li Zhang, Ph.D. Student, Electrical and Computer Engineering Jul 24, 09:00 - 10:00 B3 L5 R5209 machine learning accelerators FPGA This thesis addresses the challenges of deploying quantized convolutional neural networks (QCNNs) on resource-constrained edge devices by proposing two novel hardware-software co-design frameworks: one for deriving lightweight, hardware-friendly models validated on FPGA, and another for hardware-aware mixed-precision quantization on compute-in-memory accelerators.
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