Jianfei Zhang

Affiliations:
  • University of Sherbrooke, Department of Computer Science, Canada
  • Case Western Reserve University, USA (former)
  • University of Alberta, Canada (former)
  • Fujian Normal University, School of Mathematics and Computer Science, China (former)


According to our database1, Jianfei Zhang authored at least 18 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making.
Proceedings of the Database and Expert Systems Applications, 2023

Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction.
Proceedings of the Advanced Information Networking and Applications, 2023

Analysis and Comparison of Machine Learning Models for Glucose Forecasting.
Proceedings of the Advanced Information Networking and Applications, 2023

Modeling of Repeated Measures for Time-to-event Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Dynamic order Markov model for categorical sequence clustering.
J. Big Data, 2021

RxNet: Rx-refill Graph Neural Network for Overprescribing Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Survival neural networks for time-to-event prediction in longitudinal study.
Knowl. Inf. Syst., 2020

Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Feature-weighted survival learning machine for COPD failure prediction.
Artif. Intell. Medicine, 2019

Time-Dependent Survival Neural Network for Remaining Useful Life Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018
Survival Classification with Two-Tied Labeling of Censored Data.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017
Multiple Bayesian discriminant functions for high-dimensional massive data classification.
Data Min. Knowl. Discov., 2017

Sequential Representation of Clinical Data for Full-Fitting Survival Prediction.
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017

2016
Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2013
Projected-prototype based classifier for text categorization.
Knowl. Based Syst., 2013


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