7 citations · 11 across the 6 of their papers we have counts for
6 papers
COVER: A Heuristic Greedy Adversarial Attack on Prompt-based Learning in Language Models
Zihao Tan, Qingliang Chen, Wenbin Zhu +1
Prompt-based learning has been proved to be an effective way in pre-trained language models (PLMs), especially in low-resource scenarios like few-shot settings. However, the trustw…
Domain-level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification
Zhenxin Wu, Jiazheng Gong, Kecen Guo +3
Aspect-based sentiment classification (ABSC) is a very challenging subtask of sentiment analysis (SA) and suffers badly from the class-imbalance. Existing methods only process sent…
Progressive Multi-stage Interactive Training in Mobile Network for Fine-grained Recognition
Zhenxin Wu, Qingliang Chen, Yifeng Liu +3
Fine-grained Visual Classification (FGVC) aims to identify objects from subcategories. It is a very challenging task because of the subtle inter-class differences. Existing researc…
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification
Zeguan Xiao, Jiarun Wu, Qingliang Chen +1
Graph-based Aspect-based Sentiment Classification (ABSC) approaches have yielded state-of-the-art results, expecially when equipped with contextual word embedding from pre-training…
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma, Abdul Sattar, Jun Zhou +2
Dropout has proven to be an effective technique for regularization and preventing the co-adaptation of neurons in deep neural networks (DNN). It randomly drops units with a probabi…
Normative Multiagent Systems: A Dynamic Generalization
Xiaowei Huang, Ji Ruan, Qingliang Chen +1
Social norms are powerful formalism in coordinating autonomous agents' behaviour to achieve certain objectives. In this paper, we propose a dynamic normative system to enable the r…