222 citations · 256 across the 6 of their papers we have counts for
6 papers
Multi-View Pre-Trained Model for Code Vulnerability Identification
Xuxiang Jiang, Yinhao Xiao, Jun Wang +1
Vulnerability identification is crucial for cyber security in the software-related industry. Early identification methods require significant manual efforts in crafting features or…
Data-Free Knowledge Transfer: A Survey
Yuang Liu, Wei Zhang, Jun Wang +1
In the last decade, many deep learning models have been well trained and made a great success in various fields of machine intelligence, especially for computer vision and natural…
Source-Free Domain Adaptation for Semantic Segmentation
Yuang Liu, Wei Zhang, Jun Wang
Unsupervised Domain Adaptation (UDA) can tackle the challenge that convolutional neural network(CNN)-based approaches for semantic segmentation heavily rely on the pixel-level anno…
Zero-shot Adversarial Quantization
Yuang Liu, Wei Zhang, Jun Wang
Model quantization is a promising approach to compress deep neural networks and accelerate inference, making it possible to be deployed on mobile and edge devices. To retain the hi…
Adaptive Multi-Teacher Multi-level Knowledge Distillation
Yuang Liu, Wei Zhang, Jun Wang
Knowledge distillation~(KD) is an effective learning paradigm for improving the performance of lightweight student networks by utilizing additional supervision knowledge distilled…
Learning from a Lightweight Teacher for Efficient Knowledge Distillation
Yuang Liu, Wei Zhang, Jun Wang
Knowledge Distillation (KD) is an effective framework for compressing deep learning models, realized by a student-teacher paradigm requiring small student networks to mimic the sof…