Zhengang Li

Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform?

Xiaolong Ma, Sheng Lin, Shaokai Ye et al. · IEEE Transactions on Neural Networks and Learning Systems · 2021 · 96 citations · Full text

Engineering, Computer Engineering, Computer Science +15

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Peiyan Dong, Mengshu Sun, Alec Lu et al. · 2023 · 96 citations

Engineering, Computer Engineering, Computer Science +17

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

Mengshu Sun, Zhengang Li, Alec Lu et al. · 2022 · 85 citations

Computing, Computer Engineering, Computer Science +17

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator

Geng Yuan, Payman Behnam, Zhengang Li et al. · 2021 · 72 citations

Engineering, Computer Engineering, Computer Science +17

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Zhengang Li, Mengshu Sun, Alec Lu et al. · 2022 · 68 citations

Engineering, Computer Engineering, Computer Science +17