Zhenxing Xu

According to our database, Zhenxing Xu authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Three-dimensional reconstruction of industrial parts from a single image.

Zhenxing Xu, Aizeng Wang, Fei Hou, Gang Zhao

Vis. Comput. Ind. Biomed. Art, December, 2024

Robust Wideband Interference Suppression Method for GNSS Array Antenna Receiver via Hybrid Beamforming Technique.

Zhenxing Xu, Qijia Dong, Shenyang Li, Fuzhan Yue, Meng Wang, Zhenghuan Xia, Xiao Chen, Shuangna Zhang, Guoji Zou, Huizheng Wang

Remote. Sens., June, 2024

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

Weishen Pan, Zhenxing Xu, Suraj Rajendran, Fei Wang

Patterns, January, 2024

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.

Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang

npj Digit. Medicine, 2024

Sparse Broadband Array Synthesis via ADPM.

Zhenxing Xu, Yue Hu, Qijia Dong

Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

2023

Defect detection of gear parts in virtual manufacturing.

Zhenxing Xu, Aizeng Wang, Fei Hou, Gang Zhao

Vis. Comput. Ind. Biomed. Art, December, 2023

EDMSpell: Incorporating the error discriminator mechanism into chinese spelling correction for the overcorrection problem.

Lei Sheng, Zhenxing Xu, Xiaolong Li, Zhansi Jiang

J. King Saud Univ. Comput. Inf. Sci., June, 2023

Energy-Saving Scheduling for Flexible Job Shop Problem with AGV Transportation Considering Emergencies.

Hongliang Zhang, Chaoqun Qin, Wenhui Zhang, Zhenxing Xu, Gongjie Xu, Zhenhua Gao

Syst., February, 2023

2022

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

Zhenxing Xu, Jinzhao Wu

Symmetry, 2022

Multimodal machine learning in precision health: A scoping review.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

npj Digit. Medicine, 2022

Design and validation of a FHIR-based EHR-driven phenotyping toolbox.

Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen

J. Am. Medical Informatics Assoc., 2022

Multimodal Machine Learning in Precision Health.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

CoRR, 2022

Computing flow pipe of embedded hybrid systems using deep group preserving scheme.

Zhenxing Xu, Jinzhao Wu

Clust. Comput., 2022

Boosting branch-and-bound MaxSAT solvers with clause learning.

Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He

AI Commun., 2022

Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract).

Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Combining Clause Learning and Branch and Bound for MaxSAT.

Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Manyà, Djamal Habet, Kun He

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.

Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak

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.

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

J. Biomed. Informatics, 2020

A content-location-aware public welfare activity information push system based on microblog.

Ling Chen, Dandan Lyu, Zhenxing Xu, Hanyu Long, Gencai Chen

Inf. Process. Manag., 2020

A Convolutional Neural Network and Matrix Factorization-Based Travel Location Recommendation Method Using Community-Contributed Geotagged Photos.

Thaair Ameen, Ling Chen, Zhenxing Xu, Dandan Lyu, Hongyu Shi

ISPRS Int. J. Geo Inf., 2020

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

Dandan Lyu, Ling Chen, Zhenxing Xu, Shanshan Yu

Appl. Intell., 2020

Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures.

Zhenxing Xu, Peng Wan, Gulibire Aihemaiti, Daoqiang Zhang

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Order-Preserving Metric Learning for Mining Multivariate Time Series.

Jie Xu, Zhenxing Xu, Bin Yu, Fei Wang

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.

Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak

Proceedings of the AMIA 2020, 2020

Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language.

Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen

Proceedings of the AMIA 2020, 2020

Federated Patient Hashing.

Jie Xu, Zhenxing Xu, Peter B. Walker, Fei Wang

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.

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

CoRR, 2019

An iterative Path-Breaking approach with mutation and restart strategies for the MAX-SAT problem.

Zhenxing Xu, Kun He, Chu-Min Li

Comput. Oper. Res., 2019

Personalized location recommendation using mobile phone usage information.

Hongyu Shi, Ling Chen, Zhenxing Xu, Dandan Lyu

Appl. Intell., 2019

Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care.

Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

A New Network Traffic Identification Base on Deep Factorization Machine.

Zhenxing Xu, Junyi Zhang, Daoqiang Zhang, Hanyu Wei

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.

Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.

Luke V. Rasmussen, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Jessica S. Ancker, Fei Wang, Zhenxing Xu, Jyotishman Pathak, Yuan Luo

Proceedings of the AMIA 2019, 2019

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

Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak

Proceedings of the AMIA 2019, 2019

2018

User similarity-based gender-aware travel location recommendation by mining geotagged photos.

Zhenxing Xu, Ling Chen, Haodong Guo, Mingqi Lv, Gencai Chen

Int. J. Embed. Syst., 2018

2017

A Dynamic Topic Model and Matrix Factorization-Based Travel Recommendation Method Exploiting Ubiquitous Data.

Zhenxing Xu, Ling Chen, Yimeng Dai, Gencai Chen

IEEE Trans. Multim., 2017

2016

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

Mingqi Lv, Ling Chen, Zhenxing Xu, Yinglong Li, Gencai Chen

Neurocomputing, 2016

2015

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

Zhenxing Xu, Ling Chen, Gencai Chen

Neurocomputing, 2015

2014

Trip similarity computation for context-aware travel recommendation exploiting geotagged photos.

Zhenxing Xu

Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014