Zhi-An Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Gene Expression

Candidate Genes

Multitask Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Briefings Bioinform.

Publications

Chen Yang, Qunjian Chen, Zexuan Zhu, Zhi-An Huang, Shulin Lan, Liehuang Zhu
Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks. IEEE Trans. Evol. Comput. 28 (2) (2024)
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Trans. Biomed. Eng. 70 (4) (2023)
Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Minghao Yang, Zhi-An Huang, Wei Zhou, Junkai Ji, Jun Zhang, Shan He, Zexuan Zhu
MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations. Bioinform. 39 (8) (2023)
Yu Zhao, Bing He, Zhimeng Xu, Yidan Zhang, Xuan Zhao, Zhi-An Huang, Fan Yang, Liang Wang, Lei Duan, Jiangning Song, Jianhua Yao
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire. Briefings Bioinform. 24 (1) (2023)
Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. IJCNN (2022)
Minghao Yang, Zhi-An Huang, Wenhao Gu, Kun Han, Wenying Pan, Xiao Yang, Zexuan Zhu
Prediction of biomarker-disease associations based on graph attention network and text representation. Briefings Bioinform. 23 (5) (2022)
Zhi-An Huang, Jia Zhang, Zexuan Zhu, Edmond Qi Wu, Kay Chen Tan
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Yu Zhao, Yidan Zhang, Zhi-An Huang, Fan Yang, Lei Duan, Jianhua Yao
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics. BIBM (2021)
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. Briefings Bioinform. 22 (3) (2021)
Zhi-An Huang, Zexuan Zhu, Chuen Heung Yau, Kay Chen Tan
Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Zhi-An Huang, Yu-An Huang, Zhu-Hong You, Shanwen Zhang, Changqing Yu, Wenzhun Huang
Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data. ICIC (2) (2020)
Zhi-An Huang, Rui Liu, Kay Chen Tan
Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. IJCNN (2020)
Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. ICIC (2) (2019)