Jiewei Jiang

Orcid: 0000-0002-4306-793X

According to our database1, Jiewei Jiang authored at least 20 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An efficient alternating direction algorithm for high-dimensional basis precision matrix estimation via lasso penalized D-trace loss.
Comput. Stat., April, 2026

FDA-CAPMA: Federated domain adaptation with co-activation pattern and multimodal mamba for fMRI depression detection.
Inf. Fusion, 2026

LMVD: A large-scale multimodal vlog dataset for depression detection in the wild.
Inf. Fusion, 2026

RA3-FDA: Resource-adaptive federated domain adaptation with dual heterogeneity awareness for EEG-based depression detection.
Expert Syst. Appl., 2026

2025
LMTformer: facial depression recognition with lightweight multi-scale transformer from videos.
Appl. Intell., January, 2025

AMHF-TP: Multifunctional therapeutic peptides prediction based on multi-granularity hierarchical features.
Quant. Biol., 2025

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology.
Adv. Intell. Syst., 2025

2024
Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study.
npj Digit. Medicine, 2024

Promoting smartphone-based keratitis screening using meta-learning: A multicenter study.
J. Biomed. Informatics, 2024

2023
Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network.
J. Big Data, December, 2023

Automatic diagnosis of eyelid tumors based on SE-SSD object localization algorithm.
Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

2022
Artificial intelligence to detect malignant eyelid tumors from photographic images.
npj Digit. Medicine, 2022

Deep learning for depression recognition with audiovisual cues: A review.
Inf. Fusion, 2022

2021
Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study.
Int. J. Medical Informatics, 2021

Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study.
Comput. Methods Programs Biomed., 2021

Automatic diagnosis of multiple lesions in fundus images based on dual attention mechanism.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

2020
Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing.
npj Digit. Medicine, 2020

2017
A novel divergence for sensitivity analysis in Gaussian Bayesian networks.
Int. J. Approx. Reason., 2017

2016
Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm.
Int. J. Comput. Commun. Control, 2016

A hybrid method for learning multi-dimensional Bayesian network classifiers based on an optimization model.
Appl. Intell., 2016


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