Zhi-an Huang
Orcid: 0000-0001-9974-148X
According to our database1,
Zhi-an Huang
authored at least 25 papers
between 2016 and 2024.
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Bibliography
2024
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks.
IEEE Trans. Evol. Comput., April, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023
MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations.
Bioinform., August, 2023
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.
IEEE Trans. Biomed. Eng., April, 2023
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
Briefings Bioinform., January, 2023
2022
Prediction of biomarker-disease associations based on graph attention network and text representation.
Briefings Bioinform., 2022
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021
Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network.
IEEE Trans. Neural Networks Learn. Syst., 2021
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning.
Briefings Bioinform., 2021
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data.
Proceedings of the Intelligent Computing Theories and Application, 2020
2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Int. J. Simul. Process. Model., 2018
2017
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
PLoS Comput. Biol., 2017
BMC Bioinform., 2017
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017
2016
Mechanism research and application on distributed optical fibre temperature measurement in coalmine goaf area based on the sensor network.
Int. J. Sens. Networks, 2016