50 citations · 70 across the 13 of their papers we have counts for
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cs.SE2023★ 1 cited
Reusing Convolutional Neural Network Models through Modularization and Composition
Binhang Qi, Hailong Sun, Hongyu Zhang +1
With the widespread success of deep learning technologies, many trained deep neural network (DNN) models are now publicly available. However, directly reusing the public DNN models…
cs.LG2023★ 1 cited
Modularizing while Training: A New Paradigm for Modularizing DNN Models
Binhang Qi, Hailong Sun, Hongyu Zhang +2
Deep neural network (DNN) models have become increasingly crucial components in intelligent software systems. However, training a DNN model is typically expensive in terms of both…
cs.SE2023
Reusing Deep Neural Network Models through Model Re-engineering
Binhang Qi, Hailong Sun, Xiang Gao +3
Training deep neural network (DNN) models, which has become an important task in today's software development, is often costly in terms of computational resources and time. With th…