37 citations · 97 across the 26 of their papers we have counts for
5 papers · 1 filter
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network
Ruyue Liu, Rong Yin, Yong Liu +1
Graph Comparative Learning (GCL) is a self-supervised method that combines the advantages of Graph Convolutional Networks (GCNs) and comparative learning, making it promising for l…
A Survey on Model Compression for Large Language Models
Xunyu Zhu, Jian Li, Yong Liu +2
Large Language Models (LLMs) have transformed natural language processing tasks successfully. Yet, their large size and high computational needs pose challenges for practical use,…
Robust Neural Architecture Search
Xunyu Zhu, Jian Li, Yong Liu +1
Neural Architectures Search (NAS) becomes more and more popular over these years. However, NAS-generated models tends to suffer greater vulnerability to various malicious attacks.…
Operation-level Progressive Differentiable Architecture Search
Xunyu Zhu, Jian Li, Yong Liu +1
Differentiable Neural Architecture Search (DARTS) is becoming more and more popular among Neural Architecture Search (NAS) methods because of its high search efficiency and low com…
Improving Differentiable Architecture Search via Self-Distillation
Xunyu Zhu, Jian Li, Yong Liu +1
Differentiable Architecture Search (DARTS) is a simple yet efficient Neural Architecture Search (NAS) method. During the search stage, DARTS trains a supernet by jointly optimizing…