Jing Zhang

ORCID: 0000-0003-4519-7102
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About
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Research Areas
  • Hematological disorders and diagnostics
  • Radiomics and Machine Learning in Medical Imaging
  • Genetic Associations and Epidemiology
  • Water Quality Monitoring Technologies
  • Genetic and phenotypic traits in livestock
  • Water Quality Monitoring and Analysis
  • Advanced Control Systems Optimization
  • Bioinformatics and Genomic Networks
  • Inflammatory Biomarkers in Disease Prognosis
  • Digital Imaging for Blood Diseases
  • Topic Modeling
  • Fault Detection and Control Systems
  • COVID-19 diagnosis using AI
  • Smart Grid Security and Resilience
  • Hydrological Forecasting Using AI
  • Control Systems and Identification
  • Web Data Mining and Analysis
  • Data Quality and Management
  • Industrial Automation and Control Systems

Guangzhou Institute of Geography
2025

Guangdong Academy of Sciences
2025

Peking Union Medical College Hospital
2020

Chinese Academy of Medical Sciences & Peking Union Medical College
2020

Georgia State University
2015

University of Alberta
2014

Tsinghua University
2011

Despite years of research, the name ambiguity problem remains largely unresolved. Outstanding issues include how to capture all information for disambiguation in a unified approach, and determine number people K process. In this paper, we formalize probabilistic framework, which incorporates both attributes relationships. Specifically, define objective function propose two-step parameter estimation algorithm. We also investigate dynamic approach estimating K. Experiments show that our...

10.1109/tkde.2011.13 article EN IEEE Transactions on Knowledge and Data Engineering 2011-01-07

Background Fever of unknown origin (FUO) is a group diseases with heterogeneous complex causes that are misdiagnosed or have delayed diagnoses. Previous studies focused mainly on the statistical analysis and research cases. The treatments very different for categories FUO. Therefore, how to intelligently diagnose FUO into one category worth studying. Objective We aimed fuse all medical data together automatically predict among patients using machine learning method, which could help doctors...

10.2196/24375 article EN cc-by JMIR Medical Informatics 2020-10-28

In this work, we consider communication cost reduction of distributed moving horizon estimation (DMHE) for a class nonlinear systems. particular, focus on systems that are composed interacting subsystems which can communicate and exchange information with each other through shared network. Specifically, an algorithm based event-triggered method is proposed to reduce the number communications between in DMHE scheme. algorithm, subsystem sends out its current when triggering condition...

10.1109/acc.2014.6859097 article EN American Control Conference 2014-06-01

<sec> <title>BACKGROUND</title> Fever of unknown origin (FUO) is a group diseases with heterogeneous complex causes that are misdiagnosed or have delayed diagnoses. Previous studies focused mainly on the statistical analysis and research cases. The treatments very different for categories FUO. Therefore, how to intelligently diagnose FUO into one category worth studying. </sec> <title>OBJECTIVE</title> We aimed fuse all medical data together automatically predict among patients using machine...

10.2196/preprints.24375 preprint EN 2020-09-16
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