activity
20182023
most citedClass-Aware Adversarial Transformers for Medical Image Segmentation

78 citations · 432 across the 28 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 3 cited

Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension

Nuo Chen, Fenglin Liu, Chenyu You +2

Recently, the attention-enhanced multi-layer encoder, such as Transformer, has been extensively studied in Machine Reading Comprehension (MRC). To predict the answer, it is common…

cs.CL2020★ 26 cited

Towards Data Distillation for End-to-end Spoken Conversational Question Answering

Chenyu You, Nuo Chen, Fenglin Liu +2

In spoken question answering, QA systems are designed to answer questions from contiguous text spans within the related speech transcripts. However, the most natural way that human…

cs.CL2020★ 4 cited

PIN: A Novel Parallel Interactive Network for Spoken Language Understanding

Peilin Zhou, Zhiqi Huang, Fenglin Liu +1

Spoken Language Understanding (SLU) is an essential part of the spoken dialogue system, which typically consists of intent detection (ID) and slot filling (SF) tasks. Recently, rec…

cs.CL2020

Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding

Fenglin Liu, Xuancheng Ren, Guangxiang Zhao +4

In sequence-to-sequence learning, e.g., natural language generation, the decoder relies on the attention mechanism to efficiently extract information from the encoder. While it is…

cs.CV2020★ 3 cited

Exploring and Distilling Cross-Modal Information for Image Captioning

Fenglin Liu, Xuancheng Ren, Yuanxin Liu +2

Recently, attention-based encoder-decoder models have been used extensively in image captioning. Yet there is still great difficulty for the current methods to achieve deep image u…