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Cybersecurity breaches within the Internet of Vehicles (IoV) have been increasingly reported annually with the proliferation of intelligent connected vehicles. Two primary obstacles are faced by current intrusion detection systems: substantial ...

Optical coherence tomography (OCT) image analysis plays an important role in the field of ophthalmology. Current successful analysis models rely on available large datasets, which can be challenging to be obtained for certain tasks. The use of ...

Glaucoma is one of the leading causes of irreversible blindness worldwide. Predicting the future status of glaucoma is essential for early detection and timely intervention of potential patients and avoiding the outcome of blindness. Based on ...

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The rational allocation of multi-dimensional perception resources on the construction and operation sites of pumped storage power stations is the basic condition for the construction of intelligent construction site and the realization of intelligent ...

Document-level Relation Triplet Extraction (DocRTE) is a fundamental task in information systems that aims to simultaneously extract entities with semantic relations from a document. Existing methods heavily rely on a substantial amount of fully labeled ...

Social relation inference intrinsically requires high-level semantic understanding. In order to accurately infer relations of persons in images, one needs not only to understand scenes and objects in images, but also to adaptively attend to ...

• A novel framework named GRIT classifies social relations of person pairs in images.
• The framework infers the relations of all person pairs within a single pass.
• GRIT establishes new state-of-the-art results on two benchmark ...

Stock forecasting research, which aims to predict the future price movement of stocks, has been the focus of investors and scholars. This is important for practical applications related to human-centric computing and information sciences. Previous ...

Knowledge Distillation (KD) has emerged as a promising approach for compressing large Pre-trained Language Models (PLMs). The performance of KD relies on how to effectively formulate and transfer the knowledge from the teacher model to the student model. ...

Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing concerning the automatic extraction of (aspect term, opinion term, sentiment polarity) triplets from a given text. Current end-to-end generative ...

Programmable switches provide a solution for implementing highspeed Named Data Networking (NDN) forwarding. However, the challenge arises from the packets in the NDN network that carry hierarchical names of varying lengths, coupled with the inherent ...

Myopia is a manifestation of visual impairment caused by an excessively elongated eyeball. Image data is critical material for studying high myopia and pathological myopia. Measurements of spherical equivalent and axial length are the gold ...

Cross-domain distribution shift is a common problem for medical image analysis because medical images from different devices usually own varied domain distributions. Test-time adaptation (TTA) is a promising solution by efficiently adapting source-...

The quasilinear theory describes the resonant interaction between particles and waves with two coupled equations: one for the evolution of the particle probability density function (pdf), the other for the wave spectral energy density (...

• This is the first article on numerical solver for quasilinear diffusion model in magnetized plasmas.

The release planning of mobile apps has become an area of active research, with most studies centering on app analysis through release notes in the Apple App Store and tracking user reviews via issue trackers. ...

• We proposed RoseMatcher to identify relevant user reviews and app release notes.

Towards human-like dialogue systems, current emotional dialogue approaches jointly model emotion and semantics with a unified neural network. This strategy tends to generate safe responses due to the mutual restriction between emotion and semantics, and ...

Document-level Relation Extraction (RE) aims to infer complex semantic relations between entities in a document. Previous approaches leverage a multi-classification model to predict relation types between each entity pair. However, in contrast to ...

• Explore the possibility of predictively generating post-therapeutic SD-OCT images based on pre-therapeutic SD-OCT images with nAMD.
• Graph evolution module (GEM) is proposed to imprison the process of disease evolution in the high-...

Most of the existing disease prediction methods in the field of medical image processing fall into two classes, namely image-to-category predictions and image-to-parameter predictions.Few works have focused on image-to-...

• Proposed an adversarial multi-task-learning based method for color fundus image to fundus fluorescein angiography translation.

Background and Objective: Fundus fluorescein angiography (FFA) is widely used in clinical ophthalmic diagnosis and treatment with the requirement of adverse fluorescent dyes injection. Recently, many deep Convolutional ...