Super-resolution-based part collaboration network for vehicle re-identification
Vehicle re-identification (ReID) is to find a particular vehicle across different surveillant cameras in city roads. There are two main challenges in vehicle ReID. In one case, pictures of the same vehicle from different camera views often look ...
Multi-task hourglass network for online automatic diagnosis of developmental dysplasia of the hip
Developmental dysplasia of the hip (DDH) is one of the most common diseases in children. Due to the experience-requiring medical image analysis work, online automatic diagnosis of DDH has intrigued the researchers. Traditional implementation of ...
Long short-term enhanced memory for sequential recommendation
Sequential recommendation is a stream of studies on recommender systems, which focuses on predicting the next item a user interacts with by modeling the dynamic sequence of user-item interactions. Since being born to explore the dynamic tendency ...
A generalized multi-skill aggregation method for cognitive diagnosis
Online education brings more possibilities for personalized learning, in which identifying the cognitive state of learners is conducive to better providing learning services. Cognitive diagnosis is an effective measurement to assess the cognitive ...
Influence-Aware Successive Point-of-Interest Recommendation
In recent years, with the rapid development of mobile applications, user check-in histories have been increasing. Successive point-of-interest (POI) recommendation has gained growing attention. Existing successive point-of-interest recommendation ...
Learning refined features for open-world text classification with class description and commonsense knowledge
Open-world classification requires a classifier not only to classify samples of the observed classes but also to detect samples which are not suitable to be classified as the known classes. State-of-the-art methods train a feature extractor to ...
FPIRPQ: Accelerating regular path queries on knowledge graphs
With the growing popularity and application of knowledge-based artificial intelligence, the scale of knowledge graph data is dramatically increasing. As an essential type of query for RDF graphs, Regular Path Queries (RPQs) have attracted ...
What have we learned from OpenReview?
Anonymous peer review is used by the great majority of computer science conferences. OpenReview is such a platform that aims to promote openness in peer review process. The paper, (meta) reviews, rebuttals, and final decisions are all released to ...
CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation
In modern days, making recommendation for news articles poses a great challenge due to vast amount of online information. However, providing personalized recommendations from news articles, which are the sources of condense textual information is ...
Text style transfer between classical and modern chinese through prompt-based reinforcement learning
Text style transfer aims at converting the stylistic features of a sentence to another style while preserving its content. Despite the remarkable progress achieved in English style transfer, Chinese style transfer still relies heavily on manual ...
Optimizing subgraph matching over distributed knowledge graphs using partial evaluation
- Yanyan Song,
- Yuzhou Qin,
- Wenqi Hao,
- Pengkai Liu,
- Jianxin Li,
- Farhana Murtaza Choudhury,
- Xin Wang,
- Qingpeng Zhang
The partial evaluation and assembly framework has recently been applied for processing subgraph matching queries over large-scale knowledge graphs in the distributed environment. The framework is implemented on the master-slave architecture, ...
Improving medical experts’ efficiency of misinformation detection: an exploratory study
- Aleksandra Nabożny,
- Bartłomiej Balcerzak,
- Mikołaj Morzy,
- Adam Wierzbicki,
- Pavel Savov,
- Kamil Warpechowski
Fighting medical disinformation in the era of the pandemic is an increasingly important problem. Today, automatic systems for assessing the credibility of medical information do not offer sufficient precision, so human supervision and the ...
A text and GNN based controversy detection method on social media
Expressed opinions on social media frequently cause a controversy. Controversial content refers to content that attracts different opinions and interrogations, implying interaction between communities. Its automatic identification remains a ...
A knowledge graph empowered online learning framework for access control decision-making
Knowledge graph, as an extension of graph data structure, is being used in a wide range of areas as it can store interrelated data and reveal interlinked relationships between different objects within a large system. This paper proposes an ...
