activity
20182022
most citedLearning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning

101 citations · 264 across the 13 of their papers we have counts for

collaborators

17 papers

cs.IR2022101 cited

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning

Juntao Tan, Shijie Geng, Zuohui Fu +4

Structural data well exists in Web applications, such as social networks in social media, citation networks in academic websites, and threads data in online forums. Due to the comp…

cs.CL2021

Audio-Visual Scene-Aware Dialog and Reasoning using Audio-Visual Transformers with Joint Student-Teacher Learning

Ankit P. Shah, Shijie Geng, Peng Gao +5

In previous work, we have proposed the Audio-Visual Scene-Aware Dialog (AVSD) task, collected an AVSD dataset, developed AVSD technologies, and hosted an AVSD challenge track at bo…

cs.CV2021

Dense Contrastive Visual-Linguistic Pretraining

Lei Shi, Kai Shuang, Shijie Geng +5

Inspired by the success of BERT, several multimodal representation learning approaches have been proposed that jointly represent image and text. These approaches achieve superior p…

cs.CL20216 cited

Counterfactual Evaluation for Explainable AI

Yingqiang Ge, Shuchang Liu, Zelong Li +6

While recent years have witnessed the emergence of various explainable methods in machine learning, to what degree the explanations really represent the reasoning process behind th…

cs.CL20219 cited

Scalable Transformers for Neural Machine Translation

Peng Gao, Shijie Geng, Yu Qiao +3

Transformer has been widely adopted in Neural Machine Translation (NMT) because of its large capacity and parallel training of sequence generation. However, the deployment of Trans…

cs.CL20216 cited

RomeBERT: Robust Training of Multi-Exit BERT

Shijie Geng, Peng Gao, Zuohui Fu +1

BERT has achieved superior performances on Natural Language Understanding (NLU) tasks. However, BERT possesses a large number of parameters and demands certain resources to deploy.…