Mechanism research and application on distributed optical fibre temperature measurement in coalmine goaf area based on the sensor network. - Qian Zhao; Yinghua Zhang; Yukun Gao; Yu-cheng Ji; Zhi-an Huang (Int. J. Sens. Networks, 2016)

G-FQZip: Lossless Reference-Based Compression of FASTQ Files Using GPUs. - Cong Peng; Qingjin Deng; Zhi-an Huang; Yiwen Sun; Zexuan Zhu (CIS, 2017)

LW-FQZip 2: a parallelized reference-based compression of FASTQ files. - Zhi-an Huang; Zhenkun Wen; Qingjin Deng; Ying Chu; Yiwen Sun; Zexuan Zhu (BMC Bioinform., 2017)

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction. - Zhu-Hong You; Zhi-an Huang; Zexuan Zhu; Guiying Yan; Zheng-Wei Li 001; Zhenkun Wen; Xing Chen 001 (PLoS Comput. Biol., 2017)

Numerical simulation of a cinema fire based on FDS. - Zhi-an Huang; Yaru Meng; Rui Yang; Yukun Gao; Yinghua Zhang; Shuyi Wang (Int. J. Simul. Process. Model., 2018)

Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. - Yu-An Huang; Zhi-An Huang; Zhu-Hong You; Pengwei Hu 001; Li-Ping Li 003; Zheng-Wei Li 001; Lei Wang 121 (ICIC (2), 2019)

Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data. - Zhi-An Huang; Yu-An Huang; Zhu-Hong You; Shanwen Zhang; Changqing Yu; Wenzhun Huang (ICIC (2), 2020)

Multi-Task Learning for Efficient Diagnosis of ASD and ADHD using Resting-State fMRI Data. - Zhi-An Huang; Rui Liu 038; Kay Chen Tan (IJCNN, 2020)

Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics. - Yu Zhao 009; Yidan Zhang; Zhi-An Huang; Fan Yang 081; Lei Duan; Jianhua Yao 001 (BIBM, 2021)

Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. - Yu-An Huang; Keith C. C. Chan; Zhu-Hong You; Pengwei Hu 001; Lei Wang 121; Zhi-An Huang (Briefings Bioinform., 2021)

Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network. - Zhi-An Huang; Zexuan Zhu; Chuen Heung Yau; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. - Zhi-An Huang; Jia Zhang; Zexuan Zhu; Edmond Qi Wu; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Linqi Song; Kay Chen Tan (IJCNN, 2022)

Prediction of biomarker-disease associations based on graph attention network and text representation. - Minghao Yang; Zhi-An Huang; Wenhao Gu; Kun Han; Wenying Pan; Xiao Yang; Zexuan Zhu (Briefings Bioinform., 2022)

Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire. - Yu Zhao 009; Bing He; Zhimeng Xu; Yidan Zhang; Xuan Zhao; Zhi-An Huang; Fan Yang 081; Liang Wang 015; Lei Duan; Jiangning Song; Jianhua Yao 001 (Briefings Bioinform., 2023)

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. - Zhi-An Huang; Yao Hu 001; Rui Liu 038; Xiaoming Xue; Zexuan Zhu; Linqi Song; Kay Chen Tan (IEEE Trans. Biomed. Eng., 2023)

MIX-TPI: a flexible prediction framework for TCR-pMHC interactions based on multimodal representations. - Minghao Yang; Zhi-An Huang; Wei Zhou 001; Junkai Ji; Jun Zhang 078; Shan He 001; Zexuan Zhu (Bioinform., 2023)

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Xiaoyan Sun 002; Linqi Song; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. - Yao Hu 001; Rui Liu 038; Jiaqi Zhang; Zhi-An Huang; Linqi Song; Kay Chen Tan (IJCNN, 2024)

Enhancing Spatio-Temporal Auditory Attention Decoding with ST-AADNet. - Ruofan Yan; Shu Peng; Zhige Chen; Zhi-An Huang; Rui Liu 038; Kay Chen Tan; Jibin Wu (ISCSLP, 2024)

Mixed Prototype Correction for Causal Inference in Medical Image Classification. - Yajie Zhang; Zhi-An Huang; Zhiliang Hong; Songsong Wu; Jibin Wu; Kay Chen Tan (ACM Multimedia, 2024)

DPoSt: Dynamic Proof of Storage-time. - Qingyuan Xie; Chengjun Cai; Zhi-An Huang; Mingyue Wang; Xiaohua Jia (MSN, 2024)

Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks. - Chen Yang 011; Qunjian Chen; Zexuan Zhu; Zhi-An Huang; Shulin Lan; Liehuang Zhu (IEEE Trans. Evol. Comput., 2024)

Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. - Zhi-An Huang; Rui Liu 038; Zexuan Zhu; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Zexuan Zhu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Zexuan Zhu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Lei Huang; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. - Yajie Zhang; Yu-An Huang; Yao Hu 001; Rui Liu 038; Jibin Wu; Zhi-An Huang; Kay Chen Tan (Medical Image Anal., 2025)

scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling. - Yu-An Huang; Xiyue Cao; Zhu-Hong You; Yue-Chao Li; Xuequn Shang 001; Zhi-An Huang (CoRR, 2025)

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data. - Yu-An Huang; Yue-Chao Li; Hai-Ru You; Jie Pan 007; Xiyue Cao; Xinyuan Li; Zhi-An Huang; Zhu-Hong You (CoRR, 2025)

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis. - Yu-An Huang; Yao Hu 001; Yue-Chao Li; Xiyue Cao; Xinyuan Li; Kay Chen Tan; Zhu-Hong You; Zhi-An Huang (CoRR, 2025)

HiCMamba: Enhancing Hi-C Resolution and Identifying 3D Genome Structures with State Space Modeling. - Ming-Hsuan Yang 001; Zhi-An Huang; Zhihang Zheng; Yuqiao Liu 004; Shichen Zhang; Pengfei Zhang 005; Hui Xiong 001; Shaojun Tang (CoRR, 2025)

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. - Rui Liu 038; Yao Hu 001; Jibin Wu; Ka-Chun Wong; Zhi-An Huang; Yu-An Huang; Kay Chen Tan (IEEE Trans. Cybern., 2025)

Multimodal 3D Genome Pre-training. - Minghao Yang; Pengteng Li; Yan Liang; Qianyi Cai; Zhihang Zheng; Shichen Zhang; Pengfei Zhang 005; Zhi-An Huang; Hui Xiong 001 (CoRR, 2025)

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model. - Zongxian Yang; Jiayu Qian; Zhi-An Huang; Kay Chen Tan (CoRR, 2025)

Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained Reflection. - Zongxian Yang; Jiayu Qian; Zegao Peng; Haoyu Zhang; Zhi-An Huang (CoRR, 2025)

Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles. - Zhi-An Huang; Pengwei Hu 001; Lun Hu; Zhu-Hong You; Kay Chen Tan; Yu-An Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)