Jingchi Jiang

Orcid: 0000-0003-2167-4082

According to our database1, Jingchi Jiang authored at least 36 papers between 2014 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

2023
ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics.
Expert Syst. Appl., October, 2023

DED: Diagnostic Evidence Distillation for acne severity grading on face images.
Expert Syst. Appl., October, 2023

LHP: Logical hypergraph link prediction.
Expert Syst. Appl., July, 2023

DECAF: An interpretable deep cascading framework for ICU mortality prediction.
Artif. Intell. Medicine, 2023

Interpretable Diagnosis of Face Acne via Complementation Learning of Evidence Localization and Severity Level Grading.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Clarifying Confusion in Acne Severity Grading via Visualized Aggregation and Separation of Deep Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Efficient Evidence-Based Dialogue System for Medical Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
KIEGLFN: A unified acne grading framework on face images.
Comput. Methods Programs Biomed., 2022

Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning.
Artif. Intell. Medicine, 2022

Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Multi-scale Label Attention Network based on Abductive Causal Graph for Disease Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CGPG-GAN: An Acne Lesion Inpainting Model for Boosting Downstream Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Acne Severity Grading on Face Images via Extraction and Guidance of Prior Knowledge.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Unified Fine-Grained Biomedical Entity Recognition as a Combination of Boundary Detection and Sequence Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning.
Proceedings of the Web Information Systems and Applications, 2022

2021
Clinical decision-making framework against over-testing based on modeling implicit evaluation criteria.
J. Biomed. Informatics, 2021

An Acne Grading Framework on Face Images via Skin Attention and SFNet.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis.
Artif. Intell. Medicine, 2020

Medical knowledge embedding based on recursive neural network for multi-disease diagnosis.
Artif. Intell. Medicine, 2020

NormCG: A Novel Deep Learning Model for Medical Entity Linking.
Proceedings of the Intelligent Data Engineering and Analytics, 2020

A Hybrid Model for Clinical Concept Normalization.
Proceedings of the Intelligent Data Engineering and Analytics, 2020

2019
Extraction of risk factors for cardiovascular diseases from Chinese electronic medical records.
Comput. Methods Programs Biomed., 2019

2018
Max-margin weight learning for medical knowledge network.
Comput. Methods Programs Biomed., 2018

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.
Artif. Intell. Medicine, 2018

2017
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records.
BMC Medical Informatics Decis. Mak., 2017

Learning and inference in knowledge-based probabilistic model for medical diagnosis.
Knowl. Based Syst., 2017

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.
CoRR, 2017

De-identification of medical records using conditional random fields and long short-term memory networks.
CoRR, 2017

Learning and inference in knowledge-based probabilistic model for medical diagnosis.
CoRR, 2017

A study of EMR-based medical knowledge network and its applications.
Comput. Methods Programs Biomed., 2017

2016
Developing a cardiovascular disease risk-factors annotated corpus of Chinese electronic medical records.
CoRR, 2016

2015
HIT-WI at TREC 2015 Clinical Decision Support Track.
Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Effective deployment of monitoring points on social networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2015

WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF.
Proceedings of the Working Notes of CLEF 2015, 2015

Implementation of Chaotic Analysis on Retweet Time Series.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Cascading failures of social networks under attacks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014


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