Representative Works

Z.-A. Huang, P. Hu, L. Hu, Z.-H. You, K. C. Tan, Y.-A. Huang. Toward Multilabel Classification for Multiple Disease Prediction Using Gut Microbiota Profiles. IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 7, pp. 12840-12853, 2024 (IF:10.20, JCR-Q1, Rank: 7/143)

Z.-A. Huang, R. Liu, Z. Zhu, K. C. Tan, Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI, IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 6, pp. 8161-8175, 2022 (IF: 14.26, JCR-Q1, Rank: 6/145)

Z.-A. H uang, Y. Hu, R. Liu, X. Xue, Z. Zhu, L. Song, K. C. Tan, Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. IEEE Transactions on Biomedical Engineering, vol. 70, no. 4, pp. 1137-1149, 2022 (IF: 4.54, JCR-Q1, 26/115)

H. He, Z. Tang, G. Chen, X. Fan, Y. Hu, Y. Feng, J. Wu, Y.-A. Huang, Z.-A. Huang (Correspondence), K. C. Tan. scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks. Genome Biology, vol, 26, no. 300, 2025 (IF: 9.40, JCR-Q1, Rank: 7/191)

Y. Hu, Z.-A. Huang, R. Liu, X. Xue, X. Sun, L. Song, K. C. Tan, Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 11, pp. 13778-13795, 2023 (IF: 24.31, JCR-Q1, Rank: 1/609)

Y.-A. Huang, Y. Hu, Y. C. Li, X. Cao, X. Li, K. C. Tan, Z.-H. You, Z.-A. Huang*(Correspondence), scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis. IEEE Transactions on Medical Imaging, 2026, doi: 10.1109/TMI.2026.3675606 (IF: 9.8, JCR-Q1, Rank: 2/64)

M. Yang, Z.-A. Huang#（Co-First）, W. Zhou, J. Ji, J. Zhang, S. He, Z. Zhu, MIX-TPI: A flexible prediction framework for TCR-pMHC interactions based on multimodal representations, Bioinformatics, btad475, 2023 (IF: 6.93, JCR-Q1, Rank: 2/262)

Y. Zhang, Y.-A. Huang, Y. Hu, R. Liu, J. Wu, Z.-A. Huang*(Correspondence), K. C. Tan, CausalMixNet: A Mixed-Attention Framework for Causal Intervention in Robust Medical Image Diagnosis, Medical Image Analysis, vol. 103, pp. 103581, 2025 (IF: 10.70, JCR-Q1, Rank: 1/63)

R. Liu, Y. Hu, J. Wu, K.-C. Wong, Z.-A. Huang*(Correspondence), Y.-A. Huang, K. C. Tan, Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis, IEEE Transactions on Cybernetics, vol. 55, no. 3, pp. 1121-1134, 2025 (IF: 9.40, JCR-Q1, Rank: 16/197)

Y. Zhang, Y. Hu, C. Cai, Y.-A. Huang, Z.-A. Huang*(Correspondence), K. C. Tan, Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning, IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 15055-15069, 2025 (IF:10.20, JCR-Q1, Rank: 7/143)

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Biography
Dr. Zhian Huang is currently an Assistant Professor at the City University of Hong Kong (Dongguan). He serves as the Program Coordinator of Data Science, Deputy Director of the Dongguan Key Laboratory of Computational Intelligence and Security, and an Executive Committee Member of the CCF Dongguan Chapter. He is a Senior Member of both IEEE and CCF. In addition, Dr. Huang serves as an Associate Editor for top-tier international journals, including IEEE TNNLS (CAS Q1 TOP) and IEEE TCDS (JCR Q1). He has been recognized as a Provincial Youth Talent, a Dongguan Distinguished Talent, and a recipient of the Funding Program for Returned High-Level Talents by the Ministry of Human Resources and Social Security of China. Dr. Huang received his Ph.D. from the Department of Computer Science at the City University of Hong Kong, under the supervision of Prof. Kay Chen Tan (IEEE Fellow). In recent years, he has published over 60 papers in top-tier international journals and conferences, including IEEE TPAMI, TMI, TNNLS, TCYB, TBME, TEVC, TETCI, JBHI, Medical Image Analysis, Genome Biology, BMC Biology, PLoS CB, BIB, Bioinformatics, CVPR, NeurIPS, ICLR, ACM MM, and AAAI. Among these, he/she has authored over 30 SCI-indexed papers as the first or corresponding author (including co-first/co-corresponding). His/Her publications include more than 15 papers in CAS Q1 TOP journals, with over 2,000 total citations on Google Scholar. Dr. Huang holds four invention patent applications. He is the Principal Investigator (PI) for multiple research grants, including the General Program (2025) and Youth Program (2022) of the National Natural Science Foundation of China (NSFC), as well as provincial key and general programs. Furthermore, he serves as a reviewer for over 20 renowned academic journals and conferences.
Education
Ph.D., Computer Science, CityU
M.Eng., Software Engineering, SZU
B.Eng., Software Engineering, SCAU
Work Experience
2021-11-01 to present Research Fellow, Research Office
Patents
Hashing Image Retrieval Method Based on Anti‑Confusion Factor
Last updated：2026-06-02 10:31:06