Fuji Ren
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View article: Triple dimensional psychology knowledge encouraging graph attention networks to exploit aspect-based sentiment analysis
Triple dimensional psychology knowledge encouraging graph attention networks to exploit aspect-based sentiment analysis Open
View article: Galaxy morphological classification using Dynamic Multiscale Attention Network
Galaxy morphological classification using Dynamic Multiscale Attention Network Open
The implementation of large-scale digital sky surveys has collected enormous photometric images, making galaxy morphology classification a current research hotspot. This paper presents a galaxy morphology classification network based on dy…
View article: Dense skip-attention for convolutional networks
Dense skip-attention for convolutional networks Open
View article: Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition
Cross-Modal Data Fusion via Vision-Language Model for Crop Disease Recognition Open
Crop diseases pose a significant threat to agricultural productivity and global food security. Timely and accurate disease identification is crucial for improving crop yield and quality. While most existing deep learning-based methods focu…
View article: Triple Dimensional Valence-Arousal-Dominance Encouraging Graph Attention Networks to Exploit Aspect-based Sentiment Analysis
Triple Dimensional Valence-Arousal-Dominance Encouraging Graph Attention Networks to Exploit Aspect-based Sentiment Analysis Open
As a fine-grained sentiment analysis subtask in the Natural Language Processing (NLP) community, Aspect-based Sentiment Analysis (ABSA) aims to predict the sentiment polarity of the aspect terms according to the given sentence. In previous…
View article: MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models Open
View article: ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation
ETS-MM: A Multi-Modal Social Bot Detection Model Based on Enhanced Textual Semantic Representation Open
View article: SG‐TE: Spatial Guidance and Temporal Enhancement Network for Facial‐Bodily Emotion Recognition
SG‐TE: Spatial Guidance and Temporal Enhancement Network for Facial‐Bodily Emotion Recognition Open
To overcome the deficiencies of single‐modal emotion recognition based on facial expression or bodily posture in natural scenes, a spatial guidance and temporal enhancement (SG‐TE) network is proposed for facial‐bodily emotion recognition.…
View article: Guiding Neural Machine Translation with Bilingual Phrase Knowledge
Guiding Neural Machine Translation with Bilingual Phrase Knowledge Open
View article: Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation
Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation Open
Existing feature selection methods mainly target single-label learning and multi-label learning, and only a few algorithms are optimized for label distribution learning. In label distribution learning, the associated labels of each sample …
View article: Scene categorization by Hessian-regularized active perceptual feature selection
Scene categorization by Hessian-regularized active perceptual feature selection Open
View article: Lightweight Pyramidal Multi-Scale Attention Residual Network for Plant Disease Recognition
Lightweight Pyramidal Multi-Scale Attention Residual Network for Plant Disease Recognition Open
Earlier plant disease recognition plays a crucial role in determining agricultural yield. Therefore, developing an effective method for accurately identifying plant disease categories has become a significant concern within the agricultura…
View article: R3DG: Retrieve, Rank, and Reconstruction with Different Granularities for Multimodal Sentiment Analysis
R3DG: Retrieve, Rank, and Reconstruction with Different Granularities for Multimodal Sentiment Analysis Open
Multimodal sentiment analysis (MSA) aims to assess emotional states by integrating information from text, audio, and video. However, the heterogeneous nature of these modalities presents substantial challenges for accurate sentiment predic…
View article: ViE-Take: A Vision-Driven Multi-Modal Dataset for Exploring the Emotional Landscape in Takeover Safety of Autonomous Driving
ViE-Take: A Vision-Driven Multi-Modal Dataset for Exploring the Emotional Landscape in Takeover Safety of Autonomous Driving Open
Takeover safety draws increasing attention in the intelligent transportation as the new energy vehicles with cutting-edge autopilot capabilities vigorously blossom on the road. Despite recent studies highlighting the importance of drivers’…
View article: Efficient and Precise Ellipse Detection via Deep Learning-Based Axis-Aligned Bounding Box Estimation
Efficient and Precise Ellipse Detection via Deep Learning-Based Axis-Aligned Bounding Box Estimation Open
View article: Exploiting Multi-Level Data Uncertainty for Japanese-Chinese Neural Machine Translation
Exploiting Multi-Level Data Uncertainty for Japanese-Chinese Neural Machine Translation Open
View article: [Effect of different degrees of primary varus knee on short-term effectiveness of anterior cruciate ligament reconstruction].
[Effect of different degrees of primary varus knee on short-term effectiveness of anterior cruciate ligament reconstruction]. Open
Varying degrees of primary varus knee do not affect early knee joint stability and functional recovery after ACL reconstruction, and there is no significant difference in effectiveness between different degrees of varus knee.
View article: Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument Analysis
Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument Analysis Open
The field of argument analysis has become a crucial component in the advancement of natural language processing, which holds the potential to reveal unprecedented insights from complex data and enable more efficient, cost-effective solutio…
View article: It is time to move forward: a bibliometric analysis of top 50 cited articles in elbow arthroscopy
It is time to move forward: a bibliometric analysis of top 50 cited articles in elbow arthroscopy Open
View article: Sense-Aware Decoder for Character Based Japanese-Chinese NMT
Sense-Aware Decoder for Character Based Japanese-Chinese NMT Open
Compared to subword based Neural Machine Translation (NMT), character based NMT eschews linguistic-motivated segmentation which performs directly on the raw character sequence, following a more absolute end-to-end manner. This property is …
View article: MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition
MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition Open
Unlike typical video action recognition, Dynamic Facial Expression\nRecognition (DFER) does not involve distinct moving targets but relies on\nlocalized changes in facial muscles. Addressing this distinctive attribute, we\npropose a Multi-…
View article: [Research progress on pathological mechanism and clinical correlation between medial meniscus posterior root tear and tibial rotation].
[Research progress on pathological mechanism and clinical correlation between medial meniscus posterior root tear and tibial rotation]. Open
MMPRT is closely related to tibial rotation. Understanding the biomechanics, pathological mechanisms, and clinical correlations between the two is of great significance for improving the diagnosis and treatment strategies.
View article: Topical Use of Low‐dose Tranexamic Acid Has no Effect on Drainage Volume after Medial Open Wedge High Tibial Osteotomy: A Case Control Study
Topical Use of Low‐dose Tranexamic Acid Has no Effect on Drainage Volume after Medial Open Wedge High Tibial Osteotomy: A Case Control Study Open
Objective Many studies reported that tranexamic acid (TXA) was effective in reducing surgical blood loss in the perioperative period of medial open wedge high tibial osteotomy (MOWHTO). However, few studies focused on the simple topical us…
View article: SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM
SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM Open
Recently, text-to-image (T2I) synthesis has undergone significant advancements, particularly with the emergence of Large Language Models (LLM) and their enhancement in Large Vision Models (LVM), greatly enhancing the instruction-following …
View article: Tracking Emotions Using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm
Tracking Emotions Using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm Open
Owing to rapid advancements in artificial intelligence, the role of emotion recognition has become paramount in human–computer interaction. Traditional approaches often reduce this intricate task to a mere classification problem by relying…
View article: Generative Technology for Human Emotion Recognition: A Scope Review
Generative Technology for Human Emotion Recognition: A Scope Review Open
View article: Comparison Analysis of Short-Term Efficacy between High Tibial Osteotomy Combined with Medial Meniscus Posterior Root Repair or Partial Resection
Comparison Analysis of Short-Term Efficacy between High Tibial Osteotomy Combined with Medial Meniscus Posterior Root Repair or Partial Resection Open
Objective Comparative analysis of the clinical efficacy of high tibial osteotomy combined with medial meniscus posterior root repair or partial meniscectomy in the treatment of medial compartment osteoarthritis with concomitant knee varus.…
View article: 半月板桶柄样撕裂临床特征及手术方式研究
半月板桶柄样撕裂临床特征及手术方式研究 Open
OBJECTIVE: To summarize the clinical features, surgical methods, and prognosis of bucket-handle meniscal tears (BHMTs), and provide guidance for clinical treatment. METHODS: The clinical data of 91 BHMTs patients (91 knees), who met the se…
View article: A multi-attention and depthwise separable convolution network for medical image segmentation
A multi-attention and depthwise separable convolution network for medical image segmentation Open
Automatic medical image segmentation method is highly needed to help experts in lesion segmentation. The deep learning technology emerging has profoundly driven the development of medical image segmentation. While U-Net and attention mecha…
View article: Disentangling Prosody Representations With Unsupervised Speech Reconstruction
Disentangling Prosody Representations With Unsupervised Speech Reconstruction Open
Human speech can be characterized by different components, including semantic content, speaker identity and prosodic information. Significant progress has been made in disentangling representations for semantic content and speaker identity…