46 citations · 52 across the 4 of their papers we have counts for
4 papers
PD-Quant: Post-Training Quantization based on Prediction Difference Metric
Jiawei Liu, Lin Niu, Zhihang Yuan +3
Post-training quantization (PTQ) is a neural network compression technique that converts a full-precision model into a quantized model using lower-precision data types. Although it…
Enhanced countering adversarial attacks via input denoising and feature restoring
Yanni Li, Wenhui Zhang, Jiawei Liu +3
Despite the fact that deep neural networks (DNNs) have achieved prominent performance in various applications, it is well known that DNNs are vulnerable to adversarial examples/sam…
Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
Desheng Wang, Jiawei Liu, Xiang Qi +2
Regular expression is important for many natural language processing tasks especially when used to deal with unstructured and semi-structured data. This work focuses on automatical…
Automated Essay Scoring based on Two-Stage Learning
Jiawei Liu, Yang Xu, Yaguang Zhu
Current state-of-art feature-engineered and end-to-end Automated Essay Score (AES) methods are proven to be unable to detect adversarial samples, e.g. the essays composed of permut…