Explanipedia

A time series algorithm to predict surgery in neonatal necrotizing enterocolitis Open

Cheng Cui, Ling Qiu, Ling Li, Feilong Chen, Xiao Liu , et al. · 2024

The LSTM model with FL exhibits high precision and recall in forecasting the need for surgical intervention 1 or 2 days ahead. This predictive capability holds promise for enhancing infants' outcomes by facilitating timely clinical decisio…

DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder Open

Tao Liu, Chenpeng Du, Shuai Fan, Feilong Chen, Kai Yu · 2023

Generating high-quality and person-generic visual dubbing remains a challenge. Recent innovation has seen the advent of a two-stage paradigm, decoupling the rendering and lip synchronization process facilitated by intermediate representati…

[Recent research on machine learning in the diagnosis and treatment of necrotizing enterocolitis in neonates]. Open

Cheng Cui, Feilong Chen, Lu-Quan Li · 2023

Necrotizing enterocolitis (NEC), with the main manifestations of bloody stool, abdominal distension, and vomiting, is one of the leading causes of death in neonates, and early identification and diagnosis are crucial for the prognosis of N…

VILAS: Exploring the Effects of Vision and Language Context in Automatic Speech Recognition Open

Minglun Han, Feilong Chen, Ziyi Ni, Linghui Meng, Jing Shi , et al. · 2023

Enhancing automatic speech recognition (ASR) performance by leveraging additional multimodal information has shown promising results in previous studies. However, most of these works have primarily focused on utilizing visual cues derived …

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages Open

Feilong Chen, Minglun Han, Haozhi Zhao, Qingyang Zhang, Jing Shi , et al. · 2023

Large language models (LLMs) have demonstrated remarkable language abilities. GPT-4, based on advanced LLMs, exhibits extraordinary multimodal capabilities beyond previous visual language models. We attribute this to the use of more advanc…

Relationship between depression and lifestyle factors in Chinese adults using multi-level generalized estimation equation model Open

Yuan Li, Feilong Chen, Shaomei Han, Tao Xu · 2023

To the editor: In China, depression is a common mental illness with a lifetime prevalence of 6.8% and a 12-month prevalence of 3.6%.[1] The study aimed to determine the prevalence of depression and its relationship with associated lifestyl…

Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation Open

Minglun Han, Feilong Chen, Jing Shi, Shuang Xu, Bo Xu · 2023

Large-scale pre-trained language models (PLMs) have shown great potential in natural language processing tasks. Leveraging the capabilities of PLMs to enhance automatic speech recognition (ASR) systems has also emerged as a promising resea…

VLP: A Survey on Vision-language Pre-training Open

Feilong Chen, Duzhen Zhang, Minglun Han, Xiu-Yi Chen, Jing Shi , et al. · 2023

DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations Open

Duzhen Zhang, Feilong Chen, Xiuyi Chen · 2023

Capturing complex contextual dependencies plays a vital role in Emotion Recognition in Conversations (ERC). Previous studies have predominantly focused on speaker-aware context modeling, overlooking the discourse structure of the conversat…

Unsupervised and Pseudo-Supervised Vision-Language Alignment in Visual Dialog Open

Feilong Chen, Duzhen Zhang, Xiuyi Chen, Jing Shi, Shuang Xu , et al. · 2022

Visual dialog requires models to give reasonable answers according to a series of coherent questions and related visual concepts in images. However, most current work either focuses on attention-based fusion or pre-training on large-scale …

An Online Sparse Streaming Feature Selection Algorithm Open

Feilong Chen, Di Wu, Jie Yang, Yi He · 2022

Online streaming feature selection (OSFS), which conducts feature selection in an online manner, plays an important role in dealing with high-dimensional data. In many real applications such as intelligent healthcare platform, streaming fe…

HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval Open

Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang , et al. · 2022

In the past few years, the emergence of vision-language pre-training (VLP) has brought cross-modal retrieval to a new era. However, due to the latency and computation demand, it is commonly challenging to apply VLP in a real-time online re…

Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning Open

Feilong Chen, Xiuyi Chen, Shuang Xu, Bo Xu · 2022

Visual Dialog is a challenging vision-language task since the visual dialog agent needs to answer a series of questions after reasoning over both the image content and dialog history. Though existing methods try to deal with the cross-moda…

VLP: A Survey on Vision-Language Pre-training Open

Feilong Chen, Duzhen Zhang, Minglun Han, Xiuyi Chen, Jing Shi , et al. · 2022

In the past few years, the emergence of pre-training models has brought uni-modal fields such as computer vision (CV) and natural language processing (NLP) to a new era. Substantial works have shown they are beneficial for downstream uni-m…

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation Open

Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou · 2021

Visual dialogue is a challenging task since it needs to answer a series of coherent questions on the basis of understanding the visual environment. Previous studies focus on the implicit exploration of multimodal co-reference by implicitly…

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog Open

Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou · 2021

Visual dialog, which aims to hold a meaningful conversation with humans about a given image, is a challenging task that requires models to reason the complex dependencies among visual content, dialog history, and current questions. Graph n…

Unsupervised Knowledge Selection for Dialogue Generation Open

Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou · 2021

Knowledge selection is an important and challenging task which could provide the appropriate knowledge for informative dialogue generation.However, the needed gold knowledge label is difficult to collect in reality.In this paper, we study …

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation Open

Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou · 2021

Visual dialogue is a challenging task since it needs to answer a series of coherent questions on the basis of understanding the visual environment.Previous studies focus on the implicit exploration of multimodal coreference by implicitly a…

Big Archive‐Assisted Ensemble of Many‐Objective Evolutionary Algorithms Open

Wen Zhong, Jian Xiong, Anping Lin, Lining Xing, Feilong Chen , et al. · 2021

Multiobjective evolutionary algorithms (MOEAs) have witnessed prosperity in solving many‐objective optimization problems (MaOPs) over the past three decades. Unfortunately, no one single MOEA equipped with given parameter settings, mating‐…

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog Open

Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou · 2021

Visual dialog, which aims to hold a meaningful conversation with humans about a given image, is a challenging task that requires models to reason the complex dependencies among visual content, dialog history, and current questions.Graph ne…

Learning to Ground Visual Objects for Visual Dialog Open

Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang · 2021

Visual dialog is challenging since it needs to answer a series of coherent questions based on understanding the visual environment. How to ground related visual objects is one of the key problems. Previous studies utilize the question and …

Monocytic MDSCs skew Th17 cells toward a pro-osteoclastogenic phenotype and potentiate bone erosion in rheumatoid arthritis Open

Shixian Chen, Chunqing Guo, Ran Wang, Zhitao Feng, Zheng Liu , et al. · 2020

Objectives While myeloid-derived suppressor cells (MDSCs) were previously shown to promote a proinflammatory T helper (Th) 17 response in autoimmune conditions, a potential impact of the MDSC-Th17 immune axis on abnormal bone destruction i…

DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog Open

Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu , et al. · 2020

Visual Dialog is a vision-language task that requires an AI agent to engage in a conversation with humans grounded in an image. It remains a challenging task since it requires the agent to fully understand a given question before making an…

The pan-cancer landscape of netrin family reveals potential oncogenic biomarkers Open

Wenjun Hao, Meng Yu, Jiaxing Lin, Bitian Liu, Haotian Xing , et al. · 2020

Recent cancer studies have found that the netrin family of proteins plays vital roles in the development of some cancers. However, the functions of the many variants of these proteins in cancer remain incompletely understood. In this work,…

Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation Open

Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu , et al. · 2020

Knowledge selection plays an important role in knowledge-grounded dialogue, which is a challenging task to generate more informative responses by leveraging external knowledge. Recently, latent variable models have been proposed to deal wi…

DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog Open

Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu , et al. · 2019

Visual Dialog is a vision-language task that requires an AI agent to engage in a conversation with humans grounded in an image. It remains a challenging task since it requires the agent to fully understand a given question before making an…

Study on Problems and Countermeasures of Cargo Transportation at Haikou Airport Open

Feilong Chen · 2018

With the continuous development of China's economy and the improvement of various infrastructures, air transportation has gradually become the main force of domestic transport of personnel and material transportation.At present, China's na…

Multimodal Transportation: The Case of Laptop from Chongqing in China to Rotterdam in Europe Open

Young‐Joon Seo, Feilong Chen, Saeyeon Roh · 2017

Multimodal transportation is a key component of modern logistics systems, especially for longdistance transnational transportation. This paper explores the various alternative routes for laptop exports from Chongqing, China to Rotterdam, t…

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