Zhenxing Xu

Orcid: 0000-0002-8473-1753

According to our database1, Zhenxing Xu authored at least 36 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Three-dimensional reconstruction of industrial parts from a single image.
Vis. Comput. Ind. Biomed. Art, December, 2024

An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals.
Patterns, January, 2024

2023
Defect detection of gear parts in virtual manufacturing.
Vis. Comput. Ind. Biomed. Art, December, 2023

EDMSpell: Incorporating the error discriminator mechanism into chinese spelling correction for the overcorrection problem.
J. King Saud Univ. Comput. Inf. Sci., June, 2023

Energy-Saving Scheduling for Flexible Job Shop Problem with AGV Transportation Considering Emergencies.
Syst., February, 2023

2022
MGPS: Midpoint-Series Group Preserving Scheme for Discretizing Nonlinear Dynamics.
Symmetry, 2022

Multimodal machine learning in precision health: A scoping review.
npj Digit. Medicine, 2022

Design and validation of a FHIR-based EHR-driven phenotyping toolbox.
J. Am. Medical Informatics Assoc., 2022

Multimodal Machine Learning in Precision Health.
CoRR, 2022

Computing flow pipe of embedded hybrid systems using deep group preserving scheme.
Clust. Comput., 2022

Boosting branch-and-bound MaxSAT solvers with clause learning.
AI Commun., 2022

Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Combining Clause Learning and Branch and Bound for MaxSAT.
Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks.
J. Biomed. Informatics, 2020

A content-location-aware public welfare activity information push system based on microblog.
Inf. Process. Manag., 2020

A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos.
ISPRS Int. J. Geo Inf., 2020

Weighted multi-information constrained matrix factorization for personalized travel location recommendation based on geo-tagged photos.
Appl. Intell., 2020

Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Order-Preserving Metric Learning for Mining Multivariate Time Series.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach.
Proceedings of the AMIA 2020, 2020

Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.
Proceedings of the AMIA 2020, 2020

Federated Patient Hashing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks.
CoRR, 2019

An iterative Path-Breaking approach with mutation and restart strategies for the MAX-SAT problem.
Comput. Oper. Res., 2019

Personalized location recommendation using mobile phone usage information.
Appl. Intell., 2019

Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

A New Network Traffic Identification Base on Deep Factorization Machine.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.
Proceedings of the AMIA 2019, 2019

Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study.
Proceedings of the AMIA 2019, 2019

2018
User similarity-based gender-aware travel location recommendation by mining geotagged photos.
Int. J. Embed. Syst., 2018

2017
A Dynamic Topic Model and Matrix Factorization-Based Travel Recommendation Method Exploiting Ubiquitous Data.
IEEE Trans. Multim., 2017

2016
The discovery of personally semantic places based on trajectory data mining.
Neurocomputing, 2016

2015
Topic based context-aware travel recommendation method exploiting geotagged photos.
Neurocomputing, 2015

2014
Trip similarity computation for context-aware travel recommendation exploiting geotagged photos.
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014


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