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Journal Articles
- 2024
[j17]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): 338-352 (2024)- [j16]Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan:
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4046-4058 (2024) - [j15]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): 7627-7641 (2024) - [j14]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): 8161-8175 (2024) - [j13]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): 10591-10605 (2024) - 2023
- [j12]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) - [j11]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) - [j10]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): 13778-13795 (2023) - [j9]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): 1137-1149 (2023) - 2022
- [j8]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) - 2021
- [j7]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) - [j6]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): 2847-2861 (2021) - [j5]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): 3971-3984 (2021) - 2018
- [j4]Zhi-an Huang, Yaru Meng, Rui Yang, Yukun Gao, Yinghua Zhang, Shuyi Wang:
Numerical simulation of a cinema fire based on FDS. Int. J. Simul. Process. Model. 13(3): 200-209 (2018) - 2017
- [j3]Zhi-an Huang, Zhenkun Wen, Qingjin Deng, Ying Chu, Yiwen Sun, Zexuan Zhu:
LW-FQZip 2: a parallelized reference-based compression of FASTQ files. BMC Bioinform. 18(1): 179:1-179:8 (2017) - [j2]Zhu-Hong You, Zhi-an Huang, Zexuan Zhu, Guiying Yan, Zheng-Wei Li, Zhenkun Wen, Xing Chen:
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. PLoS Comput. Biol. 13(3) (2017) - 2016
- [j1]Qian Zhao, Yinghua Zhang, Yukun Gao, Yu-cheng Ji, Zhi-an Huang:
Mechanism research and application on distributed optical fibre temperature measurement in coalmine goaf area based on the sensor network. Int. J. Sens. Networks 20(2): 104-110 (2016)
Conference and Workshop Papers
- 2024
- [c8]Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan:
Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. IJCNN 2024: 1-8 - [c7]Yajie Zhang, Zhi-An Huang, Zhiliang Hong, Songsong Wu, Jibin Wu, Kay Chen Tan:
Mixed Prototype Correction for Causal Inference in Medical Image Classification. ACM Multimedia 2024: 4377-4386 - 2022
- [c6]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: 1-8 - 2021
- [c5]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: 608-613 - 2020
- [c4]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: 326-338 - [c3]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: 1-7 - 2019
- [c2]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: 138-150 - 2017
- [c1]Cong Peng, Qingjin Deng, Zhi-an Huang, Yiwen Sun, Zexuan Zhu:
G-FQZip: Lossless Reference-Based Compression of FASTQ Files Using GPUs. CIS 2017: 553-556
Coauthor Index
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