万翔
职务/职称
深圳市大数据研究院医疗大数据实验室主任
香港中文大学（深圳）教授
研究方向
整合分析，数据挖掘，大规模基因组数据分析，高性能计算，循证医学
电子邮箱
wanxiang@sribd.cn
教育背景
加拿大阿尔伯塔大学博士
加拿大阿尔伯塔大学硕士
中国人民大学学士
个人介绍
万翔教授现为香港中文大学（深圳）副教授，同时也是深圳大数据研究院的研究科学家。万教授在人民大学获学士学位，后赴艾伯塔大学深造获计算机系硕士学位及博士学位。万教授于2012年任香港浸会大学任研究助理教授，并于2018年作为研究科学家加入深圳市大数据研究院。
万教授主要从事多类型数据整合分析和数据挖掘，他在许多顶级期刊上发表了40多篇论文，包括《自然遗传学》，《美国人类遗传学杂志》，《 BMC遗传学》，《生物信息学》，《 BMC生物信息学》，《神经信息学》和《 IEEE / ACM关于计算生物学和生物信息学的交易》等。万教授目前任职医疗大数据实验室主任，实验室成员总计有50余人。实验室的研究目标是借助人工智能和机器学习技术，整合电子医疗病历，医学图像、生物医学及生物信息数据，开发新颖的智能模型来辅助复杂疾病的诊断和治疗。
代表性论文
[1] X Wan, W Wang, J Liu, T Tong,” Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range,” BMC medical research methodology, 14 (1), 1-13 3065 2014.
[2] D Luo, X Wan, J Liu, T Tong,” Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range,” Statistical methods in medical research, 27 (6), 1785-1805 638 2018.
[3] Kimberly L Stark, Bin Xu, Anindya Bagchi, Wen-Sung Lai, Hui Liu, Ruby Hsu, Xiang Wan, Paul Pavlidis, Alea A Mills, Maria Karayiorgou, Joseph A Gogos,” Altered brain microRNA biogenesis contributes to phenotypic deficits in a 22q11-deletion mouse model,” Nature genetics, 40 (6), 751-760 589 2008.
[4] X Wan, C Yang, Q Yang, H Xue, X Fan, NLS Tang, W Yu , “ BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies,” The American Journal of Human Genetics, 87 (3), 325-340 505 2010.
[5] C Yang, Z He, X Wan, Q Yang, H Xue, W Yu,” SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies,” Bioinformatics, 25 (4), 504-511 184 2009.
[6] X Wan, C Yang, Q Yang, H Xue, NLS Tang, W Yu,” Predictive rule inference for epistatic interaction detection in genome-wide association studies,” Bioinformatics, 26 (1), 30-37 172 2010.
[7] LS Yung, C Yang, X Wan, W Yu,” GBOOST: a GPU-based tool for detecting gene–gene interactions in genome–wide case control studies,” Bioinformatics, 27 (9), 1309-1310.
[8] Y Chen, C Zhang, L Liu, C Feng, C Dong, Y Luo, X Wan ,“ USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation Learning,” International Conference on Medical Image Computing and Computer-Assisted …2021.
[9] Z Chen, Y Shen, Y Song, X Wan,” Cross-modal Memory Networks for Radiology Report Generation, Proceedings of the 59th Annual Meeting of the Association for Computational …,2021.
[10] W Min, TH Chang, S Zhang, X Wan,” TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers,” PLoS computational biology, 17 (6), e1009044,2021.
[11] M Cai, J Xiao, S Zhang, X Wan, H Zhao, G Chen, C Yang,” A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits,” The American Journal of Human Genetics, 108 (4), 632-655 9 2021.
[12] W Min, X Wan, TH Chang, S Zhang,” A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis,” IEEE Transactions on Neural Networks and Learning Systems, 2021.
