activity
20182022
most citedGeneralization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

25 citations · 54 across the 10 of their papers we have counts for

collaborators

16 papers

cs.CL20222 cited

Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation

Mengting Hu, Yike Wu, Hang Gao +2

Recently, aspect sentiment quad prediction (ASQP) has become a popular task in the field of aspect-level sentiment analysis. Previous work utilizes a predefined template to paraphr…

cs.CL20227 cited

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

Yike Wu, Yu Zhao, Shiwan Zhao +4

Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding freque…

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.LG20201 cited

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

Yiqin Yu, Xu Min, Shiwan Zhao +5

In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions. At the s…

cs.CV20198 cited

S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

Zhihang Yuan, Bingzhe Wu, Zheng Liang +3

Recently, dynamic inference has emerged as a promising way to reduce the computational cost of deep convolutional neural network (CNN). In contrast to static methods (e.g. weight p…