A5034606659- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Service-Oriented Architecture and Web Services
- Logic, Reasoning, and Knowledge
- Multimodal Machine Learning Applications
- Biomedical Text Mining and Ontologies
- Domain Adaptation and Few-Shot Learning
- Advanced Database Systems and Queries
- Data Quality and Management
- Advanced Text Analysis Techniques
- Rough Sets and Fuzzy Logic
- Artificial Intelligence in Law
- Text and Document Classification Technologies
- Speech and dialogue systems
- Cognitive Computing and Networks
- Multi-Agent Systems and Negotiation
- AI-based Problem Solving and Planning
- Oil and Gas Production Techniques
- Recommender Systems and Techniques
- Sentiment Analysis and Opinion Mining
- Bayesian Modeling and Causal Inference
- Imbalanced Data Classification Techniques
- Software System Performance and Reliability
Southeast University
2016-2025
Changchun University of Technology
2025
Yangtze University
2022-2024
Zunyi Medical University
2024
Southeast University
2009-2023
Ministry of Education of the People's Republic of China
2023
Hubei University of Medicine
2022
Computer Network Information Center
2019-2021
Henan University
2021
Wuhan University
2021
Hydrogels with adhesive properties have the potential for rapid haemostasis and wound healing in uncontrolled non-pressurized surface bleeding. Herein, a typical hydrogen bond-crosslinked hydrogel above functions was constructed by directly mixing solutions of humic acid (HA) polyvinylpyrrolidone (PVP), which HA worked as crosslinking agent to form bonds PVP. By altering concentration HA, cluster stable uniform hydrogels were prepared within 10 s. The dynamic reversible nature gave HA/PVP...
Continual relation extraction is an important task that focuses on extracting new facts incrementally from unstructured text. Given the sequential arrival order of relations, this prone to two serious challenges, namely catastrophic forgetting and order-sensitivity. We propose a novel curriculum-meta learning method tackle above challenges in continual extraction. combine meta curriculum quickly adapt model parameters reduce interference previously seen tasks current task. design...
Visual modality recently has aroused extensive attention in the fields of knowledge graph and multimedia because a lot real-world is multi-modal nature. However, it currently unclear to what extent visual can improve performance tasks over unimodal models, equally treating structural features may encode too much irrelevant information from images. In this paper, we probe utility auxiliary context representation learning perspective by designing Relation Sensitive Multi-modal Embedding model,...
ChatGPT is a powerful large language model (LLM) that covers knowledge resources such as Wikipedia and supports natural question answering using its own knowledge. Therefore, there growing interest in exploring whether can replace traditional knowledge-based (KBQA) models. Although have been some works analyzing the performance of ChatGPT, still lack large-scale, comprehensive testing various types complex questions to analyze limitations model. In this paper, we present framework follows...
Possibilistic logic provides a convenient tool for dealing with uncertainty and handling inconsistency. In this paper, we propose possibilistic description logics as an extension of logics, which are family well-known ontology languages. We first give the syntax semantics define several inference services in logics. show that these serviced can be reduced to task computing inconsistency degree knowledge base Since suffer from drowning problem, is, axioms whose confidence degrees less than or...
With the continuous development of intelligent technologies, knowledge graph, backbone artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability representation reasoning. In recent years, graph been widely applied in different kinds applications, such as semantic search, question answering, management so on. Techniques for building Chinese graphs are also developing rapidly have constructed support various applications....
Parkinson’s disease (PD) is a common of the elderly. Given easy accessibility handwriting samples, many researchers have proposed handwriting-based detection methods for disease. Extracting more discriminative features from an important step. Although been in previous researches, insight analysis combination handwriting’s kinematic, pressure, and angle dynamic lacking. Moreover, most existing feature incompletely represented, with information lost. Therefore, to solve above problems, new...
Knowledge graphs are widely used in industrial applications, making error detection crucial for ensuring the reliability of downstream applications. Existing methods often fail to effectively leverage fine-grained subgraph information and rely solely on fixed graph structures, while also lacking transparency their decision-making processes, which results suboptimal performance. In this paper, we propose a novel Multi-Agent framework Graph Error Detection (MAKGED) that utilizes multiple large...