activity
20162022
most citedKnowledge Matters: Radiology Report Generation with General and Specific Knowledge

215 citations · 445 across the 19 of their papers we have counts for

collaborators

19 papers

cs.CV2022★ 1 cited

Aligning Source Visual and Target Language Domains for Unpaired Video Captioning

Fenglin Liu, Xian Wu, Chenyu You +3

Training supervised video captioning model requires coupled video-caption pairs. However, for many targeted languages, sufficient paired data are not available. To this end, we int…

cs.CV2022★ 35 cited

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Peng Jin, Jinfa Huang, Fenglin Liu +5

Most video-and-language representation learning approaches employ contrastive learning, e.g., CLIP, to project the video and text features into a common latent space according to t…

eess.IV2022★ 18 cited

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Xian Wu, Shuxin Yang, Zhaopeng Qiu +6

Fast screening and diagnosis are critical in COVID-19 patient treatment. In addition to the gold standard RT-PCR, radiological imaging like X-ray and CT also works as an important…

cs.CL2022★ 2 cited

Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine

Fenglin Liu, Bang Yang, Chenyu You +6

Language models (LMs), including large language models (such as ChatGPT), have the potential to assist clinicians in generating various clinical notes. However, LMs are prone to pr…

cs.CV2022★ 1 cited

Prophet Attention: Predicting Attention with Future Attention for Image Captioning

Fenglin Liu, Xuancheng Ren, Xian Wu +3

Recently, attention based models have been used extensively in many sequence-to-sequence learning systems. Especially for image captioning, the attention based models are expected…

cs.AI2022★ 1 cited

Graph-in-Graph Network for Automatic Gene Ontology Description Generation

Fenglin Liu, Bang Yang, Chenyu You +4

Gene Ontology (GO) is the primary gene function knowledge base that enables computational tasks in biomedicine. The basic element of GO is a term, which includes a set of genes wit…

cs.CL2022★ 18 cited

Competence-based Multimodal Curriculum Learning for Medical Report Generation

Fenglin Liu, Shen Ge, Yuexian Zou +1

Medical report generation task, which targets to produce long and coherent descriptions of medical images, has attracted growing research interests recently. Different from the gen…

cs.CL2022★ 1 cited

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

Chenyu You, Nuo Chen, Fenglin Liu +3

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

eess.IV2022★ 13 cited

AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Di You, Fenglin Liu, Shen Ge +3

Recently, medical report generation, which aims to automatically generate a long and coherent descriptive paragraph of a given medical image, has received growing research interest…

eess.IV2021★ 7 cited

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment

Shuxin Yang, Xian Wu, Shen Ge +2

In clinics, a radiology report is crucial for guiding a patient's treatment. However, writing radiology reports is a heavy burden for radiologists. To this end, we present an autom…

eess.IV2021★ 215 cited

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge

Shuxin Yang, Xian Wu, Shen Ge +2

Automatic radiology report generation is critical in clinics which can relieve experienced radiologists from the heavy workload and remind inexperienced radiologists of misdiagnosi…

cs.LG2021★ 64 cited

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Fenglin Liu, Chenyu You, Xian Wu +3

Medical report generation, which aims to automatically generate a long and coherent report of a given medical image, has been receiving growing research interests. Existing approac…

cs.CL2021★ 6 cited

Towards Joint Intent Detection and Slot Filling via Higher-order Attention

Dongsheng Chen, Zhiqi Huang, Xian Wu +2

Intent detection (ID) and Slot filling (SF) are two major tasks in spoken language understanding (SLU). Recently, attention mechanism has been shown to be effective in jointly opti…

cs.CL2021

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning

Fenglin Liu, Xuancheng Ren, Xian Wu +4

Video captioning combines video understanding and language generation. Different from image captioning that describes a static image with details of almost every object, video capt…

cs.CL2021

Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model

Zhiqi Huang, Fenglin Liu, Xian Wu +4

While Machine Comprehension (MC) has attracted extensive research interests in recent years, existing approaches mainly belong to the category of Machine Reading Comprehension task…

cs.CV2021★ 21 cited

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Fenglin Liu, Xian Wu, Shen Ge +2

Automatically generating radiology reports can improve current clinical practice in diagnostic radiology. On one hand, it can relieve radiologists from the heavy burden of report w…

cs.CV2021★ 18 cited

Contrastive Attention for Automatic Chest X-ray Report Generation

Fenglin Liu, Changchang Yin, Xian Wu +4

Recently, chest X-ray report generation, which aims to automatically generate descriptions of given chest X-ray images, has received growing research interests. The key challenge o…

cs.AI2018★ 2 cited

On the Generation of Medical Question-Answer Pairs

Sheng Shen, Yaliang Li, Nan Du +7

Question answering (QA) has achieved promising progress recently. However, answering a question in real-world scenarios like the medical domain is still challenging, due to the req…

cs.DB2016★ 22 cited

Set Containment Join Revisited

Panagiotis Bouros, Nikos Mamoulis, Shen Ge +1

Given two collections of set objects and , the set containment join returns all object pairs such that . Bes…