activity
20182021
most citedP3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

3 citations · 8 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL2021

Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement

Mengting Hu, Honglei Guo, Shiwan Zhao +2

A mind-map is a diagram that represents the central concept and key ideas in a hierarchical way. Converting plain text into a mind-map will reveal its key semantic structure and be…

cs.CL20212 cited

Multi-Label Few-Shot Learning for Aspect Category Detection

Mengting Hu, Shiwan Zhao, Honglei Guo +5

Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence. In this paper, we formulate ACD in the few-shot learning scena…

cs.CL20193 cited

Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis

Mengting Hu, Shiwan Zhao, Honglei Guo +2

Aspect-based sentiment analysis (ABSA) is to predict the sentiment polarity towards a particular aspect in a sentence. Recently, this task has been widely addressed by the neural a…

cs.CL2019

Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification

Mengting Hu, Yike Wu, Shiwan Zhao +3

Cross-domain sentiment classification has drawn much attention in recent years. Most existing approaches focus on learning domain-invariant representations in both the source and t…

cs.CL2019

Improving Captioning for Low-Resource Languages by Cycle Consistency

Yike Wu, Shiwan Zhao, Jia Chen +3

Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years. Existing works main…

cs.CV20193 cited

P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification

Bingzhe Wu, Shiwan Zhao, Guangyu Sun +4

Recently, deep convolutional neural networks (CNNs) have achieved great success in pathological image classification. However, due to the limited number of labeled pathological ima…