Xin Yang

ORCID: 0000-0002-0406-6774
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About
Contact & Profiles
Research Areas
  • Rough Sets and Fuzzy Logic
  • Data Mining Algorithms and Applications
  • Text and Document Classification Technologies
  • Multi-Criteria Decision Making
  • Imbalanced Data Classification Techniques
  • Data Management and Algorithms
  • Human Mobility and Location-Based Analysis
  • Advanced Computational Techniques and Applications
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Sustainable Supply Chain Management
  • Caching and Content Delivery
  • Anomaly Detection Techniques and Applications
  • Traffic Prediction and Management Techniques
  • Domain Adaptation and Few-Shot Learning
  • Network Security and Intrusion Detection
  • Sentiment Analysis and Opinion Mining
  • Service-Oriented Architecture and Web Services
  • Remote Sensing and Land Use
  • Image Retrieval and Classification Techniques
  • Data-Driven Disease Surveillance
  • Advanced Mathematical Physics Problems
  • Maritime Navigation and Safety
  • Machine Learning and Algorithms
  • Machine Learning and Data Classification

Southwestern University of Finance and Economics
2019-2025

North China University of Water Resources and Electric Power
2025

Huazhong University of Science and Technology
2025

Union Hospital
2025

Tianjin Agricultural University
2023-2024

China Telecom
2006-2023

China Telecom (China)
2006-2023

Yunnan University of Finance And Economics
2023

Beijing University of Posts and Telecommunications
2023

Texas A&M University
2023

10.1016/j.ijar.2018.11.001 article EN publisher-specific-oa International Journal of Approximate Reasoning 2018-11-07

Data privacy and silos are nontrivial greatly challenging in many real-world applications. Federated learning is a decentralized approach to training models across multiple local clients without the exchange of raw data from client devices global servers. However, existing works focus on static environment ignore continual streaming with incremental tasks. Continual Learning (FCL) an emerging paradigm address model both federated environments. The key objective FCL fuse heterogeneous...

10.1109/tkde.2024.3363240 article EN IEEE Transactions on Knowledge and Data Engineering 2024-02-07

10.1016/j.ins.2017.08.053 article EN publisher-specific-oa Information Sciences 2017-08-17

10.1007/s13042-020-01095-6 article EN International Journal of Machine Learning and Cybernetics 2020-02-26

In the traditional fresh supply chain, farmers commonly conceal true quality information of their products in order to achieve better sales. This article focuses on use blockchain technology address issue false freshness reporting a two-level chain consisting rural cooperative and supermarket. Taking into account dual losses quantity process agricultural transportation, impacts product investment level random market demand are quantified this paper. And game models for centralized...

10.1016/j.heliyon.2024.e26749 article EN cc-by-nc Heliyon 2024-02-20

Improving the quality of image-guided radiation therapy requires tracking respiratory motion in ultrasound sequences. However, low signal-to-noise ratio and artifacts images make it difficult to track targets accurately robustly. In this study, we propose a novel deep learning model, called Cascaded One-shot Deformable Convolutional Neural Network (COSD-CNN), landmarks real time long Specifically, design cascaded Siamese network structure improve performance CNN-based methods. We one-shot...

10.1016/j.media.2020.101793 article EN cc-by-nc-nd Medical Image Analysis 2020-07-18
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