135 citations · 224 across the 16 of their papers we have counts for
4 papers · 1 filter
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
Cong Hao, Yao Chen, Xiaofan Zhang +4
High quality AI solutions require joint optimization of AI algorithms, such as deep neural networks (DNNs), and their hardware accelerators. To improve the overall solution quality…
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization
Cheng Gong, Yao Chen, Ye Lu +3
Quantization has been proven to be an effective method for reducing the computing and/or storage cost of DNNs. However, the trade-off between the quantization bitwidth and final ac…
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
Yuhong Li, Cong Hao, Xiaofan Zhang +5
High quality AI solutions require joint optimization of AI algorithms and their hardware implementations. In this work, we are the first to propose a fully simultaneous, efficient…
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Prakhar Ganesh, Yao Chen, Xin Lou +6
Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of pa…