沙特阿拉伯阿卜杜拉国王科技大学计算机科学硕士、博士（2020-2025）

南方科技大学生物信息学学士（2016-2020）

周觉晓教授是数据科学学院的助理教授。他于2020年获得南方科技大学（SUSTech）生物信息学学士学位，并于2025年获得阿卜杜拉国王科技大学（KAUST）计算机科学博士学位。他的研究位于计算机科学与生物医学的交叉领域，主要聚焦于智慧医疗和生物信息学。他专注于开发尖端的人工智能算法，用于医疗领域的疾病检测、风险评估和预测建模等应用。同时，他也致力于开发生物信息学的新方法，包括基因调控网络、功能与结构预测以及系统生物学。此外，他的研究还关注于解决深度学习，隐私与安全，以及在医学领域中的通用人工智能（AGI）面临的重要挑战。他在Science Advances，Nature Machine Intelligence，Nature Communications，Trends in Genetics，The Lancet，Genome Research，Bioinformatics，MICCAI等领域内重要期刊和会议上发表学术论文30余篇。相关研究成果多次被主流媒体报导，如阿拉伯新闻（Arab News），香港电台(RTHK)，Inside Precision Medicine等。目前分别为CAAI/APBioNET/GBD成员，担任Nature, Nature Communications, Medical Image Analysis, Computers in Biology and Medicine， Computational Biology and Chemistry, Computerized Medical Imaging and Graphics, Genome Biology，Genome Research，IEEE Transactions on Knowledge and Data Engineering等多种SCI期刊审稿人以及NeurIPS，IJCAI-ECAI，ICONIP，MICCAI，SIGKDD等多种国际会议审稿人。

1. Juexiao Zhou#, Xiaonan He#, Liyuan Sun#, Jiannan Xu, Xiuying Chen, Yuetan Chu, Longxi Zhou, Xingyu Liao, Bin Zhang, Shawn Afvari, Xin Gao*. Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4. Nature Communications (IF: 17). DOI: 10.1038/s41467-024-50043-3.
2. Juexiao Zhou#, Haoyang Li#, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao*. A unified method to revoke the private data of patients in intelligent healthcare with audit to forget. Nature Communications (IF: 17). DOI: 10.1038/s41467-023-41703-x
3. Juexiao Zhou#, Siyuan Chen#, Yulian Wu#, Haoyang Li, Bin Zhang, Longxi Zhou, Yan Hu, Zihang Xiang, Zhongxiao Li, Ningning Chen, Wenkai Han, Di Wang and Xin Gao*. PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data. Science Advances (IF: 15.4). DOI: 10.1126/sciadv.adh8601
4. Juexiao Zhou#, Bin Zhang#, Guowei Li, Xiuying Chen, Haoyang Li, Xiaopeng Xu, Siyuan Chen, Liwei Liu, Xin Gao*. An AI Agent for Fully Automated Multi-omic Analyses. Advanced Science (IF: 15.1). DOI: 10.1002/advs.202407094
5. Juexiao Zhou, Chao Huang, Xin Gao*. Patient privacy in AI-driven omics methods. Trends in Genetics (IF: 11.4). DOI: 10.1016/j.tig.2024.03.004
6. Juexiao Zhou#, Bin Zhang#, Haoyang Li, Longxi Zhou, Zhongxiao Li, Yongkang Long, Wenkai Han, Mengran Wang, Huanhuan Cui, Wei Chen, Xin Gao*. Annotating TSSs in Multiple Cell Types Based on DNA Sequences and RNA-seq Data via DeeReCT-TSS. Genomics, Proteomics & Bioinformatics (IF: 10.1). DOI: 10.1016/j.gpb.2022.11.010
7. Juexiao Zhou#, Longxi Zhou#, Di Wang, Xiaopeng Xu, Haoyang Li, Yuetan Chu, Wenkai Han, Xin Gao*. Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI. Computers in Biology and Medicine (IF: 7.7). DOI: 10.1016/j.compbiomed.2023.107861
8. Haoyang Li#, Juexiao Zhou#, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, Xin Gao*. A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomic. Nature Communications (IF: 17). DOI: 10.1038/s41467-023-37168-7
9. Longxi Zhou#, Xianglin Meng#, Yuxin Huang#, Kai Kang#, Juexiao Zhou, Yuetan Chu, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao*. An Interpretable Deep Learning Workflow for Discovering Sub-Visual Abnormalities in CT Scans of COVID-19 Inpatients and Survivors. Nature machine intelligence (IF: 25.9). DOI: 10.1038/s42256-022-00483-7
10. Wenkai Han#, NingNing Chen#, Xinzhou Xu, Adil Salhi, Juexiao Zhou, Zhongxiao Li, Huawen Zhong, Elva Gao, Ruochi Zhang, Yu Wang, Shiwei Sun, Peter Cheung, Xin Gao*. Predicting the antigenic evolution of SARS-COV-2 with deep learning. Nature Communications (IF: 17). DOI: 10.1038/s41467-023-39199-6.

更多已出版著作，请点击https://www.joshuachou.ink/publications/ 查看