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Chapter and Conference Paper
Application of BERT-Based Semantic Matching Algorithm for Cross-Page Table Recognition
In the financial field, PDF documents often contain complex cross-page tables that pose challenges for conventional recognition methods. Existing research focuses on extracting information and merging tables a...
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Article
Graph convolutional network for difficulty-controllable visual question generation
In this article, we address the problem of difficulty-controllable visual question generation, which is to generate questions that satisfy the given difficulty levels based on the images and target answer. The...
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Article
Learning semantic alignment from image for text-guided image inpainting
In this paper, we propose a method called LSAI (learning semantic alignment from image) to recover the corrupted image patches for text-guided image inpainting. Firstly, a multimodal preliminary (MP) module is...
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Article
Deep fused two-step cross-modal hashing with multiple semantic supervision
Existing cross-modal hashing methods ignore the informative multimodal joint information and cannot fully exploit the semantic labels. In this paper, we propose a deep fused two-step cross-modal hashing (DFTH)...
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Article
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval
Cross-modal retrieval aims to retrieve related items across different modalities, for example, using an image query to retrieve related text. The existing deep methods ignore both the intra-modal and inter-mod...
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Article
Open AccessIdentification of seven novel ferroptosis-related long non-coding RNA signatures as a diagnostic biomarker for acute myeloid leukemia
Ferroptosis is a newly discovered type of programmed cell death that participates in the biological processes of various cancers. However, the mechanism by which ferroptosis modulates acute myeloid leukemia (A...
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Chapter and Conference Paper
Suicide Ideation Detection on Social Media During COVID-19 via Adversarial and Multi-task Learning
Suicide ideation detection on social media is a challenging problem due to its implicitness. In this paper, we present an approach to detect suicide ideation on social media based on a BERT-LSTM model with Advers...
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Chapter and Conference Paper
Event Cube for Suicidal Event Analysis: A Case Study
The publicly available data, such as the massive and dynamically updated news and social media data streams (a.k.a. big data), cover a wide range of social activities, personal views, and expressions. Effectiv...
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Chapter and Conference Paper
Comparison Question Generation Based on Potential Compared Attributes Extraction
Question generation (QG) aims to automatically generate questions from a given passage, which is widely used in education. Existing studies on the QG task mainly focus on the answer-aware QG, which only asks a...
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Article
A layer-wise deep stacking model for social image popularity prediction
In this paper, we present a Layer-wise Deep Stacking (LDS) model to predict the popularity of Flickr-like social posts. LDS stacks multiple regression models in multiple layers, which enables the different mod...
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Chapter and Conference Paper
Single-Stage Detector with Semantic Attention for Occluded Pedestrian Detection
In this paper, we propose a pedestrian detection method with semantic attention based on the single-stage detector architecture (i.e., RetinaNet) for occluded pedestrian detection, denoted as PDSA. PDSA contai...
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Chapter and Conference Paper
Improving Maximum Classifier Discrepancy by Considering Joint Distribution for Domain Adaptation
Recently, domain adaptation has gained great popularity, while most researchers are focusing on domains in homogenous modalities, e.g., image domains. In reality, heterogeneous domains are pretty common and mo...
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Chapter and Conference Paper
Fire and Smoke Dynamic Textures Characterization by Applying Periodicity Index Based on Motion Features
Dynamic texture has been described as images sequence that demonstrates continuous movement of pixels intensity change patterns in time. We consider the motion features of smoke and fire dynamic textures, whic...
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Chapter and Conference Paper
Cross-Domain and Cross-Modality Transfer Learning for Multi-domain and Multi-modality Event Detection
Online news media and social media are popular domains for people to acquire real-world event knowledge. In this work, the problem of multi-domain and multi-modality event detection (MMED) is elaborated. We wi...
