About Juexiao Zhou Juexiao Zhou Ph.D. Student, Computer Science Deep learning Medical imaging Security and Privacy LLM Articles Related News February 2024 Shuffling the deck for privacy 2 min read · Thu, Feb 15 2024 News An integrated shuffler optimizes the privacy of personal genomic data used for machine learning. November 2023 Safeguarding the right to be forgotten 2 min read · Sun, Nov 26 2023 News healthcare privacy artificial intelligence An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations. March 2023 Guidelines for Cellular Deconvolution in Spatial Transcriptomics 1 min read · Thu, Mar 30 2023 News A recent Nature paper titled "A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics" by Haoyang Li, Juexiao Zhou, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, and Prof. Xin Gao evaluates 18 existing cellular deconvolution methods used in spatial transcriptomics using 50 real-world and simulated datasets. To measure accuracy, robustness, and usefulness, the authors compare the approaches using various metrics, resolutions, spatial transcriptomics technologies, spot numbers, and gene numbers. The June 2020 Meet KAUST prospective student: Juexiao Zhou 3 min read · Mon, Jun 29 2020 News protein function Medical imaging Juexiao Zhou is a 21-year-old graduate from Shenzhen, China, who will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate and member of the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.
Shuffling the deck for privacy 2 min read · Thu, Feb 15 2024 News An integrated shuffler optimizes the privacy of personal genomic data used for machine learning.
Safeguarding the right to be forgotten 2 min read · Sun, Nov 26 2023 News healthcare privacy artificial intelligence An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.
Guidelines for Cellular Deconvolution in Spatial Transcriptomics 1 min read · Thu, Mar 30 2023 News A recent Nature paper titled "A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics" by Haoyang Li, Juexiao Zhou, Zhongxiao Li, Siyuan Chen, Xingyu Liao, Bin Zhang, Ruochi Zhang, Yu Wang, Shiwei Sun, and Prof. Xin Gao evaluates 18 existing cellular deconvolution methods used in spatial transcriptomics using 50 real-world and simulated datasets. To measure accuracy, robustness, and usefulness, the authors compare the approaches using various metrics, resolutions, spatial transcriptomics technologies, spot numbers, and gene numbers. The
Meet KAUST prospective student: Juexiao Zhou 3 min read · Mon, Jun 29 2020 News protein function Medical imaging Juexiao Zhou is a 21-year-old graduate from Shenzhen, China, who will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate and member of the KAUST Structural and Functional Bioinformatics research group under the supervision of Professor Xin Gao.
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