职务/职称
国家健康医疗大数据研究院（深圳）院长
香港中文大学（深圳）医学院副院长
香港中文大学（深圳）医学院附属第二医院院长
教育背景
复旦大学医学院 社会医学与卫生事业管理博士
复旦大学医学院 儿科和临床流行病学硕士
复旦大学医学院 预防医学学士
研究领域
医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向
电子邮件
guangjunyu@cuhk.edu.cn
个人简介
于广军，博士、研究员，博士生导师。目前担任香港中文大学（深圳）医学院副院长、国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。2020年入选国家百千万人才工程计划，同年获得人社部有突出贡献专家。2014年批准享受国务院特殊津贴，2014年获得上海卫生系统优秀学科带头人，2015年获得上海市领军人才，2018年获得上海优秀学术带头人。2021年所带领的团队获得交大医学院协同创新团队，同年获得上海市政府儿童工作白玉兰奖。
个人介绍
于广军，博士、研究员，博士生导师。目前担任国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院副院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。于教授近十年来，专注于医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向的研究。2016年以来以第一作者和通讯作者发表论文79篇。主编著作有：《走进移动健康时代》、《医疗大数据》、《儿童医生说》和《高危儿管理》。作为副主编的著作有《法国现代卫生体系概论》、《现代医院管理实务》、《中国医院管理指南》。2011年获得上海科技进步一等奖(第3排名)、中国医院协会科技创新一等奖(第2排名)；2013年获得国家科技进步二等奖(第3排名)；2017年获得中国医院协会科技进步二等奖(第1排名)、上海科技进步三等奖(第1排名)。2020年获得上海医院协会科技创新一等奖。2021年获得中国医院协会科技创新三等奖。
代表性论文
1.Wu D, Cui W, Wang X, Huo Y, Yu G, Chen J. Improvement in outpatient services using the WeChat calling system in the Shanghai Children's Hospital. Pak J Med Sci. 2021 Jul-Aug; 37(4):993-1000
2.Zhao T, Genchev GZ, Wu S, Yu G, Lu H, Feng J. Pitt-Hopkins syndrome: phenotypic and genotypic description of four unrelated patients and structural analysis of corresponding missense mutations. Neurogenetics. 2021 Jul;22(3):161-169
3.Hu YB, Chen YT, Liu SJ, Jiang F, Wu MQ, Yan CH, Tan JG, Yu GJ, Hu Y, Yin Y, Qu JJ, Li SH, Tong SL. Increasing prevalence and influencing factors of childhood asthma: a cross-sectional study in Shanghai, China. World J Pediatr. 2021 Aug; 17(4):419-428
4.Cai X, Genchev GZ, He P, Lu H, Yu G. Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai. Orphanet J Rare Dis. 2021 Jun 8;16(1):262
5.Song X, Feng J, Lan X, Tang X, Xu W, Shen J, Yu G, Jia J, Zhang H, Lu Q, Wu S. Generation and characterization of an iPSC line (SHCMDLi001-A) from a 12-year-old Chinese Han patient with TRAF7 syndrome and of an iPSC line (SHCMDLi002-A) from a control individual. Stem Cell Res. 2021 May;53:102377
6.Hu Y, Jiang F, Tan J, Liu S, Li S, Wu M, Yan C, Yu G, Hu Y, Yin Y, Tong S. Environmental Exposure and Childhood Atopic Dermatitis in Shanghai: A Season-Stratified Time-Series Analysis. Dermatology. 2021 Jun 3:1-8
7.Ji M, Genchev GZ, Huang H, Xu T, Lu H, Yu G. Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study. J Med Internet Res. 2021 Jun 2;23(6):e25929
8.Wu D, Zhu J, Wang X, Shi H, Huo Y, Liu M, Sun F, Lan H, Guo C, Liu H, Li T, Jiang L, Hu X, Li T, Xu J, Yao G, Zhu G, Yu G, Chen J. Rapid BMI Increases and Persistent Obesity in Small-for-Gestational-Age Infants. Front Pediatr. 2021 May 4;9:625853
9.Hu Y, Chen Y, Liu S, Jiang F, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Qu J, Li S, Tong S. Breastfeeding duration modified the effects of neonatal and familial risk factors on childhood asthma and allergy: a population-based study. Respir Res. 2021 Feb 6;22(1):41
10.Wang Y, Gao X, Zhang X, Xiao F, Hu H, Li X, Dong F, Sun M, Xiao Y, Ge T, Li D, Yu G, Liu Z, Zhang T. Microbial and metabolic features associated with outcome of infliximab therapy in pediatric Crohn's disease. Gut Microbes. 2021 Jan-Dec; 13(1): 1-18
11.Zheng X, Shen L, Jiang L, Shen X, Xu Y, Yu G, Wang Y. Parent and Teacher Training Increases Medication Adherence for Primary School Children With Attention-Deficit/Hyperactivity Disorder. Front Pediatr. 2020 Nov 9;8:486353
12.Lan X, Xu W, Tang X, Ye H, Song X, Lin L, Ren X, Yu G, Zhang H, Wu S. Spectrum of RB1 Germline Mutations and Clinical Features in Unrelated Chinese Patients With Retinoblastoma. Front Genet. 2020 Mar 11;11:142
13.Cun D, Zhang K, Yu G. Cost Analysis of Operating a Human Milk Bank in China. J Hum Lact. 2020 May;36(2):264-272
14.Feng J, Lan X, Shen J, Song X, Tang X, Xu W, Ren X, Zhang H, Yu G, Wu S. A de novo MAPRE2 variant in a patient with congenital symmetric circumferential skin creases type 2. Mol Genet Genomic Med. 2020 Feb;8(2):e1096
15.Hu Y, Xu Z, Jiang F, Li S, Liu S, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Tong S. Relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China. Sci Total Environ. 2020 Mar 1;706:135975
16.Sun H, Guo Y, Lan X, Jia J, Cai X, Zhang G, Xie J, Liang Q, Li Y, Yu G. PhenoModifier: a genetic modifier database for elucidating the genetic basis of human phenotypic variation. Nucleic Acids Res. 2020 Jan 8;48(D1):D977-D982
17.Cai X, Yang H, Genchev GZ, Lu H, Yu G. Analysis of economic burden and its associated factors of twenty-three rare diseases in Shanghai. Orphanet J Rare Dis. 2019 Oct 22;14(1):233
18.Ji H, Hu Y, Zhang T, Wang Y, Shen L, Wang S, Chen M, Wei M, Yu G. Allergic Comorbidity of Asthma or Wheezing, Allergic Rhinitis, and Eczema: Result From 333 029 Allergic Children in Shanghai, China. Am J Rhinol Allergy. 2020 Mar;34(2):189-195
19.Tang C, Sun H, Xiong Y, Yang J, Vitale C, Ruan L, Ai A, Yu G, Ma J, Bates D. Medication Use for Childhood Pneumonia at a Children's Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms. JMIR Med Inform. 2019 Mar 22;7(1):e12577
20.Sun H, Yu G. New insights into the pathogenicity of non-synonymous variants through multi-level analysis. Sci Rep. 2019 Feb 7;9(1):1667
21.Tian Y, Zhang C, Yu G, Hu X, Pu Z, Ma L. Influencing factors of the neurodevelopment of high-risk infants. Gen Psychiatr. 2018 Dec 18;31(3):e100034
22.Li X, Gao X, Hu H, Xiao Y, Li D, Yu G, Yu D, Zhang T, Wang Y. Clinical Efficacy and Microbiome Changes Following Fecal Microbiota Transplantation in Children With Recurrent Clostridium Difficile Infection. Front Microbiol. 2018 Nov 2;9:2622
23.Shi H, Yang X, Wu D, Wang X, Li T, Liu H, Guo C, Wang J, Hu X, Yu G, Chen J. Insights into infancy weight gain patterns for term small-for-gestational-age babies. Nutr J. 2018 Oct 29;17(1):97
24.Li XW, Ni X, Qian SY, Wang Q, Jiang RM, Xu WB, Zhang YC, Yu GJ, Chen Q, Shang YX, Zhao CS, Yu H, Zhang T, Liu G, Deng HL, Gao J, Ran XG, Yang QZ, Xu BL, Huang XY, Wu XD, Bao YX, Chen YP, Chen ZH, Liu QQ, Lu GP, Liu CF, Wang RB, Zhang GL, Gu F, Xu HM, Li Y, Yang T. Chinese guidelines for the diagnosis and treatment of hand, foot and mouth disease (2018 edition). World J Pediatr. 2018 Oct;14(5):437-447
25.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
26.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
27.Wang Y, Gao X, Ghozlane A, Hu H, Li X, Xiao Y, Li D, Yu G, Zhang T. Characteristics of Faecal Microbiota in Paediatric Crohn's Disease and Their Dynamic Changes During Infliximab Therapy. J Crohns Colitis. 2018 Feb 28;12(3):337-346
28.Yu R, Wang Y, Xiao Y, Mo L, Liu A, Li D, Ge T, Yu G, Zhang T. Prevalence of malnutrition and risk of undernutrition in hospitalised children with liver disease. J Nutr Sci. 2017 Oct 30;6:e55
29.Ning Q, Li Y, Wang Z, Zhou S, Sun H, Yu G. The Evolution and Expression Pattern of Human Overlapping lncRNA and Protein-coding Gene Pairs. Sci Rep. 2017 Mar 27;7:42775
30.Wang J, Gu J, Wang Y, Lin K, Liu S, Lu H, Zhang T, Yu G. 16S rDNA Gene Sequencing Analysis in Functional Dyspepsia Treated With Fecal Microbiota Transplantation. J Pediatr Gastroenterol Nutr. 2017 Mar;64(3):e80-e82
31.Wang Y, Li X, Ge T, Xiao Y, Liao Y, Cui Y, Zhang Y, Ho W, Yu G, Zhang T. Probiotics for prevention and treatment of respiratory tract infections in children: A systematic review and meta-analysis of randomized controlled trials. Medicine (Baltimore). 2016 Aug;95(31):e4509
32.Gu J, Wang Y, Liu S, Zhang T, Yu G, Lu H. Gut microbiota community adaption during young children fecal microbiota transplantation by 16s rDNA sequencing. Neurocomputing. 2016;06(SI): 66-72
33.Carson MB, Gu J, Yu G, Lu H. Identification of cancer-related genes and motifs in the human gene regulatory network. IET Syst Biol. 2015 Aug;9(4):128-34
34.Gao Z, Gu Y, Lv Z, Yu G, Zhou J. Practical electronic information system and printed recording promote management accuracy in an early-stage small-scale non-automatic biobank. Biopreserv Biobank. 2015 Feb;13(1):61-6
35.Cui W, Zheng P, Yang J, Zhao R, Gao J, Yu G. Integrating clinical and biological information in a shanghai biobank: an introduction to the sample repository and information sharing platform project. Biopreserv Biobank. 2015 Feb;13(1):37-42
36.Cao J, Li M, Wang Y, Yu G, Yan C. Environmental lead exposure among preschool children in Shanghai, China: blood lead levels and risk factors. PLoS One. 2014 Dec 1;9(12):e113297
37.Zhu Q, Yu G, Yu H, Lu Q, Gu X, Dong Z, Zhang X. A randomized control trial on interruption of HBV transmission in uterus. Chin Med J (Engl). 2003 May;116(5):685-7
职务/职称
国家健康医疗大数据研究院（深圳）院长
香港中文大学（深圳）医学院副院长
香港中文大学（深圳）医学院附属第二医院院长
教育背景
复旦大学医学院 社会医学与卫生事业管理博士
复旦大学医学院 儿科和临床流行病学硕士
复旦大学医学院 预防医学学士
研究领域
医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向
电子邮件
guangjunyu@cuhk.edu.cn
个人简介
于广军，博士、研究员，博士生导师。目前担任香港中文大学（深圳）医学院副院长、国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。2020年入选国家百千万人才工程计划，同年获得人社部有突出贡献专家。2014年批准享受国务院特殊津贴，2014年获得上海卫生系统优秀学科带头人，2015年获得上海市领军人才，2018年获得上海优秀学术带头人。2021年所带领的团队获得交大医学院协同创新团队，同年获得上海市政府儿童工作白玉兰奖。
个人介绍
于广军，博士、研究员，博士生导师。目前担任国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院副院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。于教授近十年来，专注于医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向的研究。2016年以来以第一作者和通讯作者发表论文79篇。主编著作有：《走进移动健康时代》、《医疗大数据》、《儿童医生说》和《高危儿管理》。作为副主编的著作有《法国现代卫生体系概论》、《现代医院管理实务》、《中国医院管理指南》。2011年获得上海科技进步一等奖(第3排名)、中国医院协会科技创新一等奖(第2排名)；2013年获得国家科技进步二等奖(第3排名)；2017年获得中国医院协会科技进步二等奖(第1排名)、上海科技进步三等奖(第1排名)。2020年获得上海医院协会科技创新一等奖。2021年获得中国医院协会科技创新三等奖。
代表性论文
1.Wu D, Cui W, Wang X, Huo Y, Yu G, Chen J. Improvement in outpatient services using the WeChat calling system in the Shanghai Children's Hospital. Pak J Med Sci. 2021 Jul-Aug; 37(4):993-1000
2.Zhao T, Genchev GZ, Wu S, Yu G, Lu H, Feng J. Pitt-Hopkins syndrome: phenotypic and genotypic description of four unrelated patients and structural analysis of corresponding missense mutations. Neurogenetics. 2021 Jul;22(3):161-169
3.Hu YB, Chen YT, Liu SJ, Jiang F, Wu MQ, Yan CH, Tan JG, Yu GJ, Hu Y, Yin Y, Qu JJ, Li SH, Tong SL. Increasing prevalence and influencing factors of childhood asthma: a cross-sectional study in Shanghai, China. World J Pediatr. 2021 Aug; 17(4):419-428
4.Cai X, Genchev GZ, He P, Lu H, Yu G. Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai. Orphanet J Rare Dis. 2021 Jun 8;16(1):262
5.Song X, Feng J, Lan X, Tang X, Xu W, Shen J, Yu G, Jia J, Zhang H, Lu Q, Wu S. Generation and characterization of an iPSC line (SHCMDLi001-A) from a 12-year-old Chinese Han patient with TRAF7 syndrome and of an iPSC line (SHCMDLi002-A) from a control individual. Stem Cell Res. 2021 May;53:102377
6.Hu Y, Jiang F, Tan J, Liu S, Li S, Wu M, Yan C, Yu G, Hu Y, Yin Y, Tong S. Environmental Exposure and Childhood Atopic Dermatitis in Shanghai: A Season-Stratified Time-Series Analysis. Dermatology. 2021 Jun 3:1-8
7.Ji M, Genchev GZ, Huang H, Xu T, Lu H, Yu G. Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study. J Med Internet Res. 2021 Jun 2;23(6):e25929
8.Wu D, Zhu J, Wang X, Shi H, Huo Y, Liu M, Sun F, Lan H, Guo C, Liu H, Li T, Jiang L, Hu X, Li T, Xu J, Yao G, Zhu G, Yu G, Chen J. Rapid BMI Increases and Persistent Obesity in Small-for-Gestational-Age Infants. Front Pediatr. 2021 May 4;9:625853
9.Hu Y, Chen Y, Liu S, Jiang F, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Qu J, Li S, Tong S. Breastfeeding duration modified the effects of neonatal and familial risk factors on childhood asthma and allergy: a population-based study. Respir Res. 2021 Feb 6;22(1):41
10.Wang Y, Gao X, Zhang X, Xiao F, Hu H, Li X, Dong F, Sun M, Xiao Y, Ge T, Li D, Yu G, Liu Z, Zhang T. Microbial and metabolic features associated with outcome of infliximab therapy in pediatric Crohn's disease. Gut Microbes. 2021 Jan-Dec; 13(1): 1-18
11.Zheng X, Shen L, Jiang L, Shen X, Xu Y, Yu G, Wang Y. Parent and Teacher Training Increases Medication Adherence for Primary School Children With Attention-Deficit/Hyperactivity Disorder. Front Pediatr. 2020 Nov 9;8:486353
12.Lan X, Xu W, Tang X, Ye H, Song X, Lin L, Ren X, Yu G, Zhang H, Wu S. Spectrum of RB1 Germline Mutations and Clinical Features in Unrelated Chinese Patients With Retinoblastoma. Front Genet. 2020 Mar 11;11:142
13.Cun D, Zhang K, Yu G. Cost Analysis of Operating a Human Milk Bank in China. J Hum Lact. 2020 May;36(2):264-272
14.Feng J, Lan X, Shen J, Song X, Tang X, Xu W, Ren X, Zhang H, Yu G, Wu S. A de novo MAPRE2 variant in a patient with congenital symmetric circumferential skin creases type 2. Mol Genet Genomic Med. 2020 Feb;8(2):e1096
15.Hu Y, Xu Z, Jiang F, Li S, Liu S, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Tong S. Relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China. Sci Total Environ. 2020 Mar 1;706:135975
16.Sun H, Guo Y, Lan X, Jia J, Cai X, Zhang G, Xie J, Liang Q, Li Y, Yu G. PhenoModifier: a genetic modifier database for elucidating the genetic basis of human phenotypic variation. Nucleic Acids Res. 2020 Jan 8;48(D1):D977-D982
17.Cai X, Yang H, Genchev GZ, Lu H, Yu G. Analysis of economic burden and its associated factors of twenty-three rare diseases in Shanghai. Orphanet J Rare Dis. 2019 Oct 22;14(1):233
18.Ji H, Hu Y, Zhang T, Wang Y, Shen L, Wang S, Chen M, Wei M, Yu G. Allergic Comorbidity of Asthma or Wheezing, Allergic Rhinitis, and Eczema: Result From 333 029 Allergic Children in Shanghai, China. Am J Rhinol Allergy. 2020 Mar;34(2):189-195
19.Tang C, Sun H, Xiong Y, Yang J, Vitale C, Ruan L, Ai A, Yu G, Ma J, Bates D. Medication Use for Childhood Pneumonia at a Children's Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms. JMIR Med Inform. 2019 Mar 22;7(1):e12577
20.Sun H, Yu G. New insights into the pathogenicity of non-synonymous variants through multi-level analysis. Sci Rep. 2019 Feb 7;9(1):1667
21.Tian Y, Zhang C, Yu G, Hu X, Pu Z, Ma L. Influencing factors of the neurodevelopment of high-risk infants. Gen Psychiatr. 2018 Dec 18;31(3):e100034
22.Li X, Gao X, Hu H, Xiao Y, Li D, Yu G, Yu D, Zhang T, Wang Y. Clinical Efficacy and Microbiome Changes Following Fecal Microbiota Transplantation in Children With Recurrent Clostridium Difficile Infection. Front Microbiol. 2018 Nov 2;9:2622
23.Shi H, Yang X, Wu D, Wang X, Li T, Liu H, Guo C, Wang J, Hu X, Yu G, Chen J. Insights into infancy weight gain patterns for term small-for-gestational-age babies. Nutr J. 2018 Oct 29;17(1):97
24.Li XW, Ni X, Qian SY, Wang Q, Jiang RM, Xu WB, Zhang YC, Yu GJ, Chen Q, Shang YX, Zhao CS, Yu H, Zhang T, Liu G, Deng HL, Gao J, Ran XG, Yang QZ, Xu BL, Huang XY, Wu XD, Bao YX, Chen YP, Chen ZH, Liu QQ, Lu GP, Liu CF, Wang RB, Zhang GL, Gu F, Xu HM, Li Y, Yang T. Chinese guidelines for the diagnosis and treatment of hand, foot and mouth disease (2018 edition). World J Pediatr. 2018 Oct;14(5):437-447
25.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
26.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
27.Wang Y, Gao X, Ghozlane A, Hu H, Li X, Xiao Y, Li D, Yu G, Zhang T. Characteristics of Faecal Microbiota in Paediatric Crohn's Disease and Their Dynamic Changes During Infliximab Therapy. J Crohns Colitis. 2018 Feb 28;12(3):337-346
28.Yu R, Wang Y, Xiao Y, Mo L, Liu A, Li D, Ge T, Yu G, Zhang T. Prevalence of malnutrition and risk of undernutrition in hospitalised children with liver disease. J Nutr Sci. 2017 Oct 30;6:e55
29.Ning Q, Li Y, Wang Z, Zhou S, Sun H, Yu G. The Evolution and Expression Pattern of Human Overlapping lncRNA and Protein-coding Gene Pairs. Sci Rep. 2017 Mar 27;7:42775
30.Wang J, Gu J, Wang Y, Lin K, Liu S, Lu H, Zhang T, Yu G. 16S rDNA Gene Sequencing Analysis in Functional Dyspepsia Treated With Fecal Microbiota Transplantation. J Pediatr Gastroenterol Nutr. 2017 Mar;64(3):e80-e82
31.Wang Y, Li X, Ge T, Xiao Y, Liao Y, Cui Y, Zhang Y, Ho W, Yu G, Zhang T. Probiotics for prevention and treatment of respiratory tract infections in children: A systematic review and meta-analysis of randomized controlled trials. Medicine (Baltimore). 2016 Aug;95(31):e4509
32.Gu J, Wang Y, Liu S, Zhang T, Yu G, Lu H. Gut microbiota community adaption during young children fecal microbiota transplantation by 16s rDNA sequencing. Neurocomputing. 2016;06(SI): 66-72
33.Carson MB, Gu J, Yu G, Lu H. Identification of cancer-related genes and motifs in the human gene regulatory network. IET Syst Biol. 2015 Aug;9(4):128-34
34.Gao Z, Gu Y, Lv Z, Yu G, Zhou J. Practical electronic information system and printed recording promote management accuracy in an early-stage small-scale non-automatic biobank. Biopreserv Biobank. 2015 Feb;13(1):61-6
35.Cui W, Zheng P, Yang J, Zhao R, Gao J, Yu G. Integrating clinical and biological information in a shanghai biobank: an introduction to the sample repository and information sharing platform project. Biopreserv Biobank. 2015 Feb;13(1):37-42
36.Cao J, Li M, Wang Y, Yu G, Yan C. Environmental lead exposure among preschool children in Shanghai, China: blood lead levels and risk factors. PLoS One. 2014 Dec 1;9(12):e113297
37.Zhu Q, Yu G, Yu H, Lu Q, Gu X, Dong Z, Zhang X. A randomized control trial on interruption of HBV transmission in uterus. Chin Med J (Engl). 2003 May;116(5):685-7
职务/职称
国家健康医疗大数据研究院（深圳）院长
香港中文大学（深圳）医学院副院长
香港中文大学（深圳）医学院附属第二医院院长
教育背景
复旦大学医学院 社会医学与卫生事业管理博士
复旦大学医学院 儿科和临床流行病学硕士
复旦大学医学院 预防医学学士
研究领域
医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向
电子邮件
guangjunyu@cuhk.edu.cn
个人简介
于广军，博士、研究员，博士生导师。目前担任香港中文大学（深圳）医学院副院长、国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。2020年入选国家百千万人才工程计划，同年获得人社部有突出贡献专家。2014年批准享受国务院特殊津贴，2014年获得上海卫生系统优秀学科带头人，2015年获得上海市领军人才，2018年获得上海优秀学术带头人。2021年所带领的团队获得交大医学院协同创新团队，同年获得上海市政府儿童工作白玉兰奖。
个人介绍
于广军，博士、研究员，博士生导师。目前担任国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院副院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。于教授近十年来，专注于医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向的研究。2016年以来以第一作者和通讯作者发表论文79篇。主编著作有：《走进移动健康时代》、《医疗大数据》、《儿童医生说》和《高危儿管理》。作为副主编的著作有《法国现代卫生体系概论》、《现代医院管理实务》、《中国医院管理指南》。2011年获得上海科技进步一等奖(第3排名)、中国医院协会科技创新一等奖(第2排名)；2013年获得国家科技进步二等奖(第3排名)；2017年获得中国医院协会科技进步二等奖(第1排名)、上海科技进步三等奖(第1排名)。2020年获得上海医院协会科技创新一等奖。2021年获得中国医院协会科技创新三等奖。
代表性论文
1.Wu D, Cui W, Wang X, Huo Y, Yu G, Chen J. Improvement in outpatient services using the WeChat calling system in the Shanghai Children's Hospital. Pak J Med Sci. 2021 Jul-Aug; 37(4):993-1000
2.Zhao T, Genchev GZ, Wu S, Yu G, Lu H, Feng J. Pitt-Hopkins syndrome: phenotypic and genotypic description of four unrelated patients and structural analysis of corresponding missense mutations. Neurogenetics. 2021 Jul;22(3):161-169
3.Hu YB, Chen YT, Liu SJ, Jiang F, Wu MQ, Yan CH, Tan JG, Yu GJ, Hu Y, Yin Y, Qu JJ, Li SH, Tong SL. Increasing prevalence and influencing factors of childhood asthma: a cross-sectional study in Shanghai, China. World J Pediatr. 2021 Aug; 17(4):419-428
4.Cai X, Genchev GZ, He P, Lu H, Yu G. Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai. Orphanet J Rare Dis. 2021 Jun 8;16(1):262
5.Song X, Feng J, Lan X, Tang X, Xu W, Shen J, Yu G, Jia J, Zhang H, Lu Q, Wu S. Generation and characterization of an iPSC line (SHCMDLi001-A) from a 12-year-old Chinese Han patient with TRAF7 syndrome and of an iPSC line (SHCMDLi002-A) from a control individual. Stem Cell Res. 2021 May;53:102377
6.Hu Y, Jiang F, Tan J, Liu S, Li S, Wu M, Yan C, Yu G, Hu Y, Yin Y, Tong S. Environmental Exposure and Childhood Atopic Dermatitis in Shanghai: A Season-Stratified Time-Series Analysis. Dermatology. 2021 Jun 3:1-8
7.Ji M, Genchev GZ, Huang H, Xu T, Lu H, Yu G. Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study. J Med Internet Res. 2021 Jun 2;23(6):e25929
8.Wu D, Zhu J, Wang X, Shi H, Huo Y, Liu M, Sun F, Lan H, Guo C, Liu H, Li T, Jiang L, Hu X, Li T, Xu J, Yao G, Zhu G, Yu G, Chen J. Rapid BMI Increases and Persistent Obesity in Small-for-Gestational-Age Infants. Front Pediatr. 2021 May 4;9:625853
9.Hu Y, Chen Y, Liu S, Jiang F, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Qu J, Li S, Tong S. Breastfeeding duration modified the effects of neonatal and familial risk factors on childhood asthma and allergy: a population-based study. Respir Res. 2021 Feb 6;22(1):41
10.Wang Y, Gao X, Zhang X, Xiao F, Hu H, Li X, Dong F, Sun M, Xiao Y, Ge T, Li D, Yu G, Liu Z, Zhang T. Microbial and metabolic features associated with outcome of infliximab therapy in pediatric Crohn's disease. Gut Microbes. 2021 Jan-Dec; 13(1): 1-18
11.Zheng X, Shen L, Jiang L, Shen X, Xu Y, Yu G, Wang Y. Parent and Teacher Training Increases Medication Adherence for Primary School Children With Attention-Deficit/Hyperactivity Disorder. Front Pediatr. 2020 Nov 9;8:486353
12.Lan X, Xu W, Tang X, Ye H, Song X, Lin L, Ren X, Yu G, Zhang H, Wu S. Spectrum of RB1 Germline Mutations and Clinical Features in Unrelated Chinese Patients With Retinoblastoma. Front Genet. 2020 Mar 11;11:142
13.Cun D, Zhang K, Yu G. Cost Analysis of Operating a Human Milk Bank in China. J Hum Lact. 2020 May;36(2):264-272
14.Feng J, Lan X, Shen J, Song X, Tang X, Xu W, Ren X, Zhang H, Yu G, Wu S. A de novo MAPRE2 variant in a patient with congenital symmetric circumferential skin creases type 2. Mol Genet Genomic Med. 2020 Feb;8(2):e1096
15.Hu Y, Xu Z, Jiang F, Li S, Liu S, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Tong S. Relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China. Sci Total Environ. 2020 Mar 1;706:135975
16.Sun H, Guo Y, Lan X, Jia J, Cai X, Zhang G, Xie J, Liang Q, Li Y, Yu G. PhenoModifier: a genetic modifier database for elucidating the genetic basis of human phenotypic variation. Nucleic Acids Res. 2020 Jan 8;48(D1):D977-D982
17.Cai X, Yang H, Genchev GZ, Lu H, Yu G. Analysis of economic burden and its associated factors of twenty-three rare diseases in Shanghai. Orphanet J Rare Dis. 2019 Oct 22;14(1):233
18.Ji H, Hu Y, Zhang T, Wang Y, Shen L, Wang S, Chen M, Wei M, Yu G. Allergic Comorbidity of Asthma or Wheezing, Allergic Rhinitis, and Eczema: Result From 333 029 Allergic Children in Shanghai, China. Am J Rhinol Allergy. 2020 Mar;34(2):189-195
19.Tang C, Sun H, Xiong Y, Yang J, Vitale C, Ruan L, Ai A, Yu G, Ma J, Bates D. Medication Use for Childhood Pneumonia at a Children's Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms. JMIR Med Inform. 2019 Mar 22;7(1):e12577
20.Sun H, Yu G. New insights into the pathogenicity of non-synonymous variants through multi-level analysis. Sci Rep. 2019 Feb 7;9(1):1667
21.Tian Y, Zhang C, Yu G, Hu X, Pu Z, Ma L. Influencing factors of the neurodevelopment of high-risk infants. Gen Psychiatr. 2018 Dec 18;31(3):e100034
22.Li X, Gao X, Hu H, Xiao Y, Li D, Yu G, Yu D, Zhang T, Wang Y. Clinical Efficacy and Microbiome Changes Following Fecal Microbiota Transplantation in Children With Recurrent Clostridium Difficile Infection. Front Microbiol. 2018 Nov 2;9:2622
23.Shi H, Yang X, Wu D, Wang X, Li T, Liu H, Guo C, Wang J, Hu X, Yu G, Chen J. Insights into infancy weight gain patterns for term small-for-gestational-age babies. Nutr J. 2018 Oct 29;17(1):97
24.Li XW, Ni X, Qian SY, Wang Q, Jiang RM, Xu WB, Zhang YC, Yu GJ, Chen Q, Shang YX, Zhao CS, Yu H, Zhang T, Liu G, Deng HL, Gao J, Ran XG, Yang QZ, Xu BL, Huang XY, Wu XD, Bao YX, Chen YP, Chen ZH, Liu QQ, Lu GP, Liu CF, Wang RB, Zhang GL, Gu F, Xu HM, Li Y, Yang T. Chinese guidelines for the diagnosis and treatment of hand, foot and mouth disease (2018 edition). World J Pediatr. 2018 Oct;14(5):437-447
25.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
26.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
27.Wang Y, Gao X, Ghozlane A, Hu H, Li X, Xiao Y, Li D, Yu G, Zhang T. Characteristics of Faecal Microbiota in Paediatric Crohn's Disease and Their Dynamic Changes During Infliximab Therapy. J Crohns Colitis. 2018 Feb 28;12(3):337-346
28.Yu R, Wang Y, Xiao Y, Mo L, Liu A, Li D, Ge T, Yu G, Zhang T. Prevalence of malnutrition and risk of undernutrition in hospitalised children with liver disease. J Nutr Sci. 2017 Oct 30;6:e55
29.Ning Q, Li Y, Wang Z, Zhou S, Sun H, Yu G. The Evolution and Expression Pattern of Human Overlapping lncRNA and Protein-coding Gene Pairs. Sci Rep. 2017 Mar 27;7:42775
30.Wang J, Gu J, Wang Y, Lin K, Liu S, Lu H, Zhang T, Yu G. 16S rDNA Gene Sequencing Analysis in Functional Dyspepsia Treated With Fecal Microbiota Transplantation. J Pediatr Gastroenterol Nutr. 2017 Mar;64(3):e80-e82
31.Wang Y, Li X, Ge T, Xiao Y, Liao Y, Cui Y, Zhang Y, Ho W, Yu G, Zhang T. Probiotics for prevention and treatment of respiratory tract infections in children: A systematic review and meta-analysis of randomized controlled trials. Medicine (Baltimore). 2016 Aug;95(31):e4509
32.Gu J, Wang Y, Liu S, Zhang T, Yu G, Lu H. Gut microbiota community adaption during young children fecal microbiota transplantation by 16s rDNA sequencing. Neurocomputing. 2016;06(SI): 66-72
33.Carson MB, Gu J, Yu G, Lu H. Identification of cancer-related genes and motifs in the human gene regulatory network. IET Syst Biol. 2015 Aug;9(4):128-34
34.Gao Z, Gu Y, Lv Z, Yu G, Zhou J. Practical electronic information system and printed recording promote management accuracy in an early-stage small-scale non-automatic biobank. Biopreserv Biobank. 2015 Feb;13(1):61-6
35.Cui W, Zheng P, Yang J, Zhao R, Gao J, Yu G. Integrating clinical and biological information in a shanghai biobank: an introduction to the sample repository and information sharing platform project. Biopreserv Biobank. 2015 Feb;13(1):37-42
36.Cao J, Li M, Wang Y, Yu G, Yan C. Environmental lead exposure among preschool children in Shanghai, China: blood lead levels and risk factors. PLoS One. 2014 Dec 1;9(12):e113297
37.Zhu Q, Yu G, Yu H, Lu Q, Gu X, Dong Z, Zhang X. A randomized control trial on interruption of HBV transmission in uterus. Chin Med J (Engl). 2003 May;116(5):685-7
职务/职称
国家健康医疗大数据研究院（深圳）院长
香港中文大学（深圳）医学院副院长
香港中文大学（深圳）医学院附属第二医院院长
教育背景
复旦大学医学院 社会医学与卫生事业管理博士
复旦大学医学院 儿科和临床流行病学硕士
复旦大学医学院 预防医学学士
研究领域
医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向
电子邮件
guangjunyu@cuhk.edu.cn
个人简介
于广军，博士、研究员，博士生导师。目前担任香港中文大学（深圳）医学院副院长、国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。2020年入选国家百千万人才工程计划，同年获得人社部有突出贡献专家。2014年批准享受国务院特殊津贴，2014年获得上海卫生系统优秀学科带头人，2015年获得上海市领军人才，2018年获得上海优秀学术带头人。2021年所带领的团队获得交大医学院协同创新团队，同年获得上海市政府儿童工作白玉兰奖。
个人介绍
于广军，博士、研究员，博士生导师。目前担任国家健康医疗大数据研究院（深圳）院长、香港中文大学（深圳）医学院副院长、香港中文大学（深圳）医学院附属第二医院院长、上海交通大学中国医院发展研究院医疗信息研究所所长、上海儿童精准医学大数据工程技术研究中心主任、上海交大医学院儿童感染免疫研究院院长、上海市儿童医院儿童早期发展基地负责人。于教授近十年来，专注于医疗大数据、互联网医疗和智慧医院、高危儿管理、多动症医教结合等方向的研究。2016年以来以第一作者和通讯作者发表论文79篇。主编著作有：《走进移动健康时代》、《医疗大数据》、《儿童医生说》和《高危儿管理》。作为副主编的著作有《法国现代卫生体系概论》、《现代医院管理实务》、《中国医院管理指南》。2011年获得上海科技进步一等奖(第3排名)、中国医院协会科技创新一等奖(第2排名)；2013年获得国家科技进步二等奖(第3排名)；2017年获得中国医院协会科技进步二等奖(第1排名)、上海科技进步三等奖(第1排名)。2020年获得上海医院协会科技创新一等奖。2021年获得中国医院协会科技创新三等奖。
代表性论文
1.Wu D, Cui W, Wang X, Huo Y, Yu G, Chen J. Improvement in outpatient services using the WeChat calling system in the Shanghai Children's Hospital. Pak J Med Sci. 2021 Jul-Aug; 37(4):993-1000
2.Zhao T, Genchev GZ, Wu S, Yu G, Lu H, Feng J. Pitt-Hopkins syndrome: phenotypic and genotypic description of four unrelated patients and structural analysis of corresponding missense mutations. Neurogenetics. 2021 Jul;22(3):161-169
3.Hu YB, Chen YT, Liu SJ, Jiang F, Wu MQ, Yan CH, Tan JG, Yu GJ, Hu Y, Yin Y, Qu JJ, Li SH, Tong SL. Increasing prevalence and influencing factors of childhood asthma: a cross-sectional study in Shanghai, China. World J Pediatr. 2021 Aug; 17(4):419-428
4.Cai X, Genchev GZ, He P, Lu H, Yu G. Demographics, in-hospital analysis, and prevalence of 33 rare diseases with effective treatment in Shanghai. Orphanet J Rare Dis. 2021 Jun 8;16(1):262
5.Song X, Feng J, Lan X, Tang X, Xu W, Shen J, Yu G, Jia J, Zhang H, Lu Q, Wu S. Generation and characterization of an iPSC line (SHCMDLi001-A) from a 12-year-old Chinese Han patient with TRAF7 syndrome and of an iPSC line (SHCMDLi002-A) from a control individual. Stem Cell Res. 2021 May;53:102377
6.Hu Y, Jiang F, Tan J, Liu S, Li S, Wu M, Yan C, Yu G, Hu Y, Yin Y, Tong S. Environmental Exposure and Childhood Atopic Dermatitis in Shanghai: A Season-Stratified Time-Series Analysis. Dermatology. 2021 Jun 3:1-8
7.Ji M, Genchev GZ, Huang H, Xu T, Lu H, Yu G. Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study. J Med Internet Res. 2021 Jun 2;23(6):e25929
8.Wu D, Zhu J, Wang X, Shi H, Huo Y, Liu M, Sun F, Lan H, Guo C, Liu H, Li T, Jiang L, Hu X, Li T, Xu J, Yao G, Zhu G, Yu G, Chen J. Rapid BMI Increases and Persistent Obesity in Small-for-Gestational-Age Infants. Front Pediatr. 2021 May 4;9:625853
9.Hu Y, Chen Y, Liu S, Jiang F, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Qu J, Li S, Tong S. Breastfeeding duration modified the effects of neonatal and familial risk factors on childhood asthma and allergy: a population-based study. Respir Res. 2021 Feb 6;22(1):41
10.Wang Y, Gao X, Zhang X, Xiao F, Hu H, Li X, Dong F, Sun M, Xiao Y, Ge T, Li D, Yu G, Liu Z, Zhang T. Microbial and metabolic features associated with outcome of infliximab therapy in pediatric Crohn's disease. Gut Microbes. 2021 Jan-Dec; 13(1): 1-18
11.Zheng X, Shen L, Jiang L, Shen X, Xu Y, Yu G, Wang Y. Parent and Teacher Training Increases Medication Adherence for Primary School Children With Attention-Deficit/Hyperactivity Disorder. Front Pediatr. 2020 Nov 9;8:486353
12.Lan X, Xu W, Tang X, Ye H, Song X, Lin L, Ren X, Yu G, Zhang H, Wu S. Spectrum of RB1 Germline Mutations and Clinical Features in Unrelated Chinese Patients With Retinoblastoma. Front Genet. 2020 Mar 11;11:142
13.Cun D, Zhang K, Yu G. Cost Analysis of Operating a Human Milk Bank in China. J Hum Lact. 2020 May;36(2):264-272
14.Feng J, Lan X, Shen J, Song X, Tang X, Xu W, Ren X, Zhang H, Yu G, Wu S. A de novo MAPRE2 variant in a patient with congenital symmetric circumferential skin creases type 2. Mol Genet Genomic Med. 2020 Feb;8(2):e1096
15.Hu Y, Xu Z, Jiang F, Li S, Liu S, Wu M, Yan C, Tan J, Yu G, Hu Y, Yin Y, Tong S. Relative impact of meteorological factors and air pollutants on childhood allergic diseases in Shanghai, China. Sci Total Environ. 2020 Mar 1;706:135975
16.Sun H, Guo Y, Lan X, Jia J, Cai X, Zhang G, Xie J, Liang Q, Li Y, Yu G. PhenoModifier: a genetic modifier database for elucidating the genetic basis of human phenotypic variation. Nucleic Acids Res. 2020 Jan 8;48(D1):D977-D982
17.Cai X, Yang H, Genchev GZ, Lu H, Yu G. Analysis of economic burden and its associated factors of twenty-three rare diseases in Shanghai. Orphanet J Rare Dis. 2019 Oct 22;14(1):233
18.Ji H, Hu Y, Zhang T, Wang Y, Shen L, Wang S, Chen M, Wei M, Yu G. Allergic Comorbidity of Asthma or Wheezing, Allergic Rhinitis, and Eczema: Result From 333 029 Allergic Children in Shanghai, China. Am J Rhinol Allergy. 2020 Mar;34(2):189-195
19.Tang C, Sun H, Xiong Y, Yang J, Vitale C, Ruan L, Ai A, Yu G, Ma J, Bates D. Medication Use for Childhood Pneumonia at a Children's Hospital in Shanghai, China: Analysis of Pattern Mining Algorithms. JMIR Med Inform. 2019 Mar 22;7(1):e12577
20.Sun H, Yu G. New insights into the pathogenicity of non-synonymous variants through multi-level analysis. Sci Rep. 2019 Feb 7;9(1):1667
21.Tian Y, Zhang C, Yu G, Hu X, Pu Z, Ma L. Influencing factors of the neurodevelopment of high-risk infants. Gen Psychiatr. 2018 Dec 18;31(3):e100034
22.Li X, Gao X, Hu H, Xiao Y, Li D, Yu G, Yu D, Zhang T, Wang Y. Clinical Efficacy and Microbiome Changes Following Fecal Microbiota Transplantation in Children With Recurrent Clostridium Difficile Infection. Front Microbiol. 2018 Nov 2;9:2622
23.Shi H, Yang X, Wu D, Wang X, Li T, Liu H, Guo C, Wang J, Hu X, Yu G, Chen J. Insights into infancy weight gain patterns for term small-for-gestational-age babies. Nutr J. 2018 Oct 29;17(1):97
24.Li XW, Ni X, Qian SY, Wang Q, Jiang RM, Xu WB, Zhang YC, Yu GJ, Chen Q, Shang YX, Zhao CS, Yu H, Zhang T, Liu G, Deng HL, Gao J, Ran XG, Yang QZ, Xu BL, Huang XY, Wu XD, Bao YX, Chen YP, Chen ZH, Liu QQ, Lu GP, Liu CF, Wang RB, Zhang GL, Gu F, Xu HM, Li Y, Yang T. Chinese guidelines for the diagnosis and treatment of hand, foot and mouth disease (2018 edition). World J Pediatr. 2018 Oct;14(5):437-447
25.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
26.Wang X, Zhu J, Guo C, Shi H, Wu D, Sun F, Shen L, Ge P, Wang J, Hu X, Chen J, Yu G. Growth of infants and young children born small for gestational age: growth restriction accompanied by overweight. J Int Med Res. 2018 Sep;46(9):3765-3777
27.Wang Y, Gao X, Ghozlane A, Hu H, Li X, Xiao Y, Li D, Yu G, Zhang T. Characteristics of Faecal Microbiota in Paediatric Crohn's Disease and Their Dynamic Changes During Infliximab Therapy. J Crohns Colitis. 2018 Feb 28;12(3):337-346
28.Yu R, Wang Y, Xiao Y, Mo L, Liu A, Li D, Ge T, Yu G, Zhang T. Prevalence of malnutrition and risk of undernutrition in hospitalised children with liver disease. J Nutr Sci. 2017 Oct 30;6:e55
29.Ning Q, Li Y, Wang Z, Zhou S, Sun H, Yu G. The Evolution and Expression Pattern of Human Overlapping lncRNA and Protein-coding Gene Pairs. Sci Rep. 2017 Mar 27;7:42775
30.Wang J, Gu J, Wang Y, Lin K, Liu S, Lu H, Zhang T, Yu G. 16S rDNA Gene Sequencing Analysis in Functional Dyspepsia Treated With Fecal Microbiota Transplantation. J Pediatr Gastroenterol Nutr. 2017 Mar;64(3):e80-e82
31.Wang Y, Li X, Ge T, Xiao Y, Liao Y, Cui Y, Zhang Y, Ho W, Yu G, Zhang T. Probiotics for prevention and treatment of respiratory tract infections in children: A systematic review and meta-analysis of randomized controlled trials. Medicine (Baltimore). 2016 Aug;95(31):e4509
32.Gu J, Wang Y, Liu S, Zhang T, Yu G, Lu H. Gut microbiota community adaption during young children fecal microbiota transplantation by 16s rDNA sequencing. Neurocomputing. 2016;06(SI): 66-72
33.Carson MB, Gu J, Yu G, Lu H. Identification of cancer-related genes and motifs in the human gene regulatory network. IET Syst Biol. 2015 Aug;9(4):128-34
34.Gao Z, Gu Y, Lv Z, Yu G, Zhou J. Practical electronic information system and printed recording promote management accuracy in an early-stage small-scale non-automatic biobank. Biopreserv Biobank. 2015 Feb;13(1):61-6
35.Cui W, Zheng P, Yang J, Zhao R, Gao J, Yu G. Integrating clinical and biological information in a shanghai biobank: an introduction to the sample repository and information sharing platform project. Biopreserv Biobank. 2015 Feb;13(1):37-42
36.Cao J, Li M, Wang Y, Yu G, Yan C. Environmental lead exposure among preschool children in Shanghai, China: blood lead levels and risk factors. PLoS One. 2014 Dec 1;9(12):e113297
37.Zhu Q, Yu G, Yu H, Lu Q, Gu X, Dong Z, Zhang X. A randomized control trial on interruption of HBV transmission in uterus. Chin Med J (Engl). 2003 May;116(5):685-7
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.
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.
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.
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.
职务/职称
深圳市大数据研究院医疗大数据实验室 高级研究科学家
研究方向
生物信息学，统计学
电子邮箱
教育背景
博士, 统计学，加利福尼亚大学洛杉矶分校，2005
硕士，生物化学与分子生物学，清华大学，2000
学士，生物科学与技术，清华大学，1997
主要成果/荣誉：（如有）
于天维教授现任Scientific Reports, Biology, 和 Current Metabolomics and Systems Biology编委。曾任Frotiers in Genetics编委。他于2021年获教育部高等学校科学研究优秀成果（科学技术）二等奖（参与），指导的学生曾获得 David P. Byar Young Investigator Travel Award和ENAR Distinguished Student Paper Award。
个人介绍
于天维教授于1997年毕业于清华大学生物系，2000年获得清华大学生物化学与分子生物学硕士学位，2004年获得加利福尼亚大学洛杉矶分校生物化学与分子生物学硕士学位，并于2005年获得加利福尼亚大学洛杉矶分校的统计学博士学位。
在加入深圳市大数据研究院及香港中文大学（深圳）之前，于天维教授为埃默里(Emory)大学的生物统计学和生物信息学系终身教授。 于天维教授的研究重点集中于生物信息学，统计学与机器学习；其研究兴趣也包括代谢组学，药物基因组学和系统生物学的应用。在他的合作研究中，他致力于环境卫生、病毒学/疫苗学，营养学和癌症研究。
代表性论文
Jin Z, Kang J, Yu T (2021) Feature selection and classification over the network with missing node observations. Statistics in Medicine (Epub ahead of print)
Kong Y, Yu T (2020) forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction. Bioinformatics. 36(11):3507-3515.
Fei T, Yu T (2020) scBatch: Batch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment. Bioinformatics. 36(10):3115-3123.
Cai Q, Kang J#, Yu T# (2020) Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior. Bayesian Analysis 15(1): 79-102 (#Correspondence authors)
Kong Y, Yu T (2019) A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scale. BMC Genomics. 20:397.
Kong Y, Yu T (2018) A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. Bioinformatics. 34(21):3727-3737.
职务/职称
深圳市大数据研究院医疗大数据实验室 高级研究科学家
研究方向
生物信息学，统计学
电子邮箱
教育背景
博士, 统计学，加利福尼亚大学洛杉矶分校，2005
硕士，生物化学与分子生物学，清华大学，2000
学士，生物科学与技术，清华大学，1997
主要成果/荣誉：（如有）
于天维教授现任Scientific Reports, Biology, 和 Current Metabolomics and Systems Biology编委。曾任Frotiers in Genetics编委。他于2021年获教育部高等学校科学研究优秀成果（科学技术）二等奖（参与），指导的学生曾获得 David P. Byar Young Investigator Travel Award和ENAR Distinguished Student Paper Award。
个人介绍
于天维教授于1997年毕业于清华大学生物系，2000年获得清华大学生物化学与分子生物学硕士学位，2004年获得加利福尼亚大学洛杉矶分校生物化学与分子生物学硕士学位，并于2005年获得加利福尼亚大学洛杉矶分校的统计学博士学位。
在加入深圳市大数据研究院及香港中文大学（深圳）之前，于天维教授为埃默里(Emory)大学的生物统计学和生物信息学系终身教授。 于天维教授的研究重点集中于生物信息学，统计学与机器学习；其研究兴趣也包括代谢组学，药物基因组学和系统生物学的应用。在他的合作研究中，他致力于环境卫生、病毒学/疫苗学，营养学和癌症研究。
代表性论文
Jin Z, Kang J, Yu T (2021) Feature selection and classification over the network with missing node observations. Statistics in Medicine (Epub ahead of print)
Kong Y, Yu T (2020) forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction. Bioinformatics. 36(11):3507-3515.
Fei T, Yu T (2020) scBatch: Batch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment. Bioinformatics. 36(10):3115-3123.
Cai Q, Kang J#, Yu T# (2020) Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior. Bayesian Analysis 15(1): 79-102 (#Correspondence authors)
Kong Y, Yu T (2019) A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scale. BMC Genomics. 20:397.
Kong Y, Yu T (2018) A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. Bioinformatics. 34(21):3727-3737.
职务/职称
深圳市大数据研究院医疗大数据实验室研究科学家
研究方向
计算机视觉，深度学习，医学影像分析
电子邮箱
zhangruimao@cuhk.edu.cn
教育背景
中山大学工学博士
中山大学工学学士
主要成果/荣誉
Outstanding Reviewer Award of NeurIPS, 2021； AIM Challenge on Learned Image Signal Processing Pipeline, Track 2, First Prize, 2020； Google Youtube 8M Video Understanding Challenge, Golden Metal, 2017
个人介绍
张瑞茂教授现为香港中文大学（深圳）数据科学学院的研究助理教授。张教授分别于2011年和2016年在中山大学数据科学与计算机学院获得学士与博士学位。2013年到2014年间以访问生的身份赴香港理工大学电子计算学系从事计算机视觉相关领域的研究。在2017年到2019年间，张教授在香港中文大学多媒体实验室担任博士后研究院。他于2019年加入商汤科技研究院，任高级研究员至2020年底。目前，张教授也作为研究科学家，于深圳市大数据研究院进行医疗影像数据的分析研究。
张教授的研究领域主要集中在计算机视觉、深度学习以及相关的多媒体应用上。场景理解分析与推理、弱监督与自监督学习、神经网络归一化技术、深度特征表达等。在医学影像分析方面，张教授的研究集中在面向医学数据的大规模深度模型预训练、多域多模态数据医疗数据联合分析等方向上。近年来，其著作多次被计算机视觉与模式识别领域顶级期刊和会议收录。
代表性论文
1. Ping Luo, Ruimao Zhang*, Jiamin Ren, Zhanglin Peng, Jingyu Li, "Differentiable Learning-to-Normalize via Switchable Normalization", IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 43(2):712-728, 2021 ( IF:17.73 )
2. Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo, “Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions”, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 41(3):596 - 610, 2019 ( IF:17.73 )
3. Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin, “SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification”, IEEE Transactions on Image Processing ( T-IP ), 28(10):4870-4882, 2019
4. Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang “Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification” IEEE Transactions on Image Processing ( T-IP ), 24(12):4766-4779, 2015 ( ESI Highly Cited Paper )
5. Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo, " Exemplar Normalization for Learning Deep Representation ", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020
职务/职称
深圳市大数据研究院医疗大数据实验室研究科学家
研究方向
计算机视觉，深度学习，医学影像分析
电子邮箱
zhangruimao@cuhk.edu.cn
教育背景
中山大学工学博士
中山大学工学学士
主要成果/荣誉
Outstanding Reviewer Award of NeurIPS, 2021； AIM Challenge on Learned Image Signal Processing Pipeline, Track 2, First Prize, 2020； Google Youtube 8M Video Understanding Challenge, Golden Metal, 2017
个人介绍
张瑞茂教授现为香港中文大学（深圳）数据科学学院的研究助理教授。张教授分别于2011年和2016年在中山大学数据科学与计算机学院获得学士与博士学位。2013年到2014年间以访问生的身份赴香港理工大学电子计算学系从事计算机视觉相关领域的研究。在2017年到2019年间，张教授在香港中文大学多媒体实验室担任博士后研究院。他于2019年加入商汤科技研究院，任高级研究员至2020年底。目前，张教授也作为研究科学家，于深圳市大数据研究院进行医疗影像数据的分析研究。
张教授的研究领域主要集中在计算机视觉、深度学习以及相关的多媒体应用上。场景理解分析与推理、弱监督与自监督学习、神经网络归一化技术、深度特征表达等。在医学影像分析方面，张教授的研究集中在面向医学数据的大规模深度模型预训练、多域多模态数据医疗数据联合分析等方向上。近年来，其著作多次被计算机视觉与模式识别领域顶级期刊和会议收录。
代表性论文
1. Ping Luo, Ruimao Zhang*, Jiamin Ren, Zhanglin Peng, Jingyu Li, "Differentiable Learning-to-Normalize via Switchable Normalization", IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 43(2):712-728, 2021 ( IF:17.73 )
2. Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo, “Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions”, IEEE Transactions on Pattern Analysis and Machine Intelligence ( T-PAMI ), 41(3):596 - 610, 2019 ( IF:17.73 )
3. Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, Liang Lin, “SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification”, IEEE Transactions on Image Processing ( T-IP ), 28(10):4870-4882, 2019
4. Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang “Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification” IEEE Transactions on Image Processing ( T-IP ), 24(12):4766-4779, 2015 ( ESI Highly Cited Paper )
5. Ruimao Zhang, Zhanglin Peng, Lingyun Wu, Zhen Li, Ping Luo, " Exemplar Normalization for Learning Deep Representation ", Proc. of IEEE International Conference on Computer Vision and Pattern Recognition ( CVPR ), 2020
职务/职称
深圳市大数据研究院医疗大数据实验室研究科学家
研究方向
医疗影像智能分析，计算机视觉，深度神经网络
电子邮箱
lhaof@sribd.cn
教育背景
香港大学计算机科学博士
中山大学计算机科学理学学士
主要成果/荣誉
NeurIPS 2022 细胞分割挑战赛全球亚军
主持中国国家自然科学基金项目
主持广东省基础与应用基础研究基金面上项目
个人介绍
李灏峰博士，现任深圳市大数据研究科学家，2015年于中山大学计算机系获理学学士学位，2020年于香港大学计算机系获博士学位。其研究方向包括医疗影像分析、脑核磁成像分析、组织病理学图像分析和计算机视觉等，在该方向著名国家期刊和会议发表论文20多篇，包括IEEE TMI, MedIA, MICCAI, ICCV, AAAI, ACM MM, IEEE TIP, IEEE TCyb, ISBI等。李灏峰博士是顶级期刊和会议IEEE TPAMI, IEEE TIP, IEEE TCYB, Pattern Regconition, Neurocomputing, NeurIPS 2022, MICCAI 2023等的审稿人。他是IEEE电气电子工程师学会、中国计算机学会和广东省卫生信息网络协会病理数字化应用分会的会员，被评为深圳市海外高层次人才，并入选深龙英才计划。他目前作为项目负责人主持中国国家自然科学基金项目一项，和广东省基础与应用基础研究基金面上项目一项。他曾带领他的团队于2022年12月获得NeurIPS 全球细胞分割挑战赛亚军（100多只参赛队伍）。更多细节详见 http://haofengli.net/
代表性论文
* 共同一作 # 通讯作者
1.Wei Lou, Haofeng Li#(通讯作者), Guanbin Li, Xiaoguang Han, Xiang Wan, Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework, IEEE Transactions on Medical Imaging (TMI, IF=11.037), 2022.11
2.Junjia Huang, Haofeng Li#(通讯作者), Guanbin Li#, Xiang Wan, Attentive Symmetric Autoencoder for Brain MRI Segmentation, Early Accept (top 13%) in MICCAI, 2022.09
3.Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, View-Disentangled Transformer for Brain Lesion Detection, International Symposium on Biomedical Imaging (ISBI), 2022.03
4.Jiutao Yue*, Haofeng Li* (共同一作), Pengxu Wei, Guanbin Li, Liang Lin, Robust Real-World Image Super-Resolution against Adversarial Attacks, ACM Multimedia (CCF A), 2021.10
5.Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (共同一作), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (IF = 8.545), 2021.08
6.Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu, Online Alternate Generator against Adversarial Attacks, IEEE Transactions on Image Processing (TIP, CCF A, IF=10.856), 2020.09
7.Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.11
8.Haofeng Li, Guanbin Li, Yizhou Yu, ROSA: Robust Salient Object Detection Against Adversarial Attacks, IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
9.Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu, Context Aware Semantic Inpainting, IEEE Transactions on Cybernetics (JCR Q1), 2018
10.Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, Oral Presentation in AAAI (CCF A), 2019
11.Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019
职务/职称
深圳市大数据研究院医疗大数据实验室研究科学家
研究方向
医疗影像智能分析，计算机视觉，深度神经网络
电子邮箱
lhaof@sribd.cn
教育背景
香港大学计算机科学博士
中山大学计算机科学理学学士
主要成果/荣誉
NeurIPS 2022 细胞分割挑战赛全球亚军
主持中国国家自然科学基金项目
主持广东省基础与应用基础研究基金面上项目
个人介绍
李灏峰博士，现任深圳市大数据研究科学家，2015年于中山大学计算机系获理学学士学位，2020年于香港大学计算机系获博士学位。其研究方向包括医疗影像分析、脑核磁成像分析、组织病理学图像分析和计算机视觉等，在该方向著名国家期刊和会议发表论文20多篇，包括IEEE TMI, MedIA, MICCAI, ICCV, AAAI, ACM MM, IEEE TIP, IEEE TCyb, ISBI等。李灏峰博士是顶级期刊和会议IEEE TPAMI, IEEE TIP, IEEE TCYB, Pattern Regconition, Neurocomputing, NeurIPS 2022, MICCAI 2023等的审稿人。他是IEEE电气电子工程师学会、中国计算机学会和广东省卫生信息网络协会病理数字化应用分会的会员，被评为深圳市海外高层次人才，并入选深龙英才计划。他目前作为项目负责人主持中国国家自然科学基金项目一项，和广东省基础与应用基础研究基金面上项目一项。他曾带领他的团队于2022年12月获得NeurIPS 全球细胞分割挑战赛亚军（100多只参赛队伍）。更多细节详见 http://haofengli.net/
代表性论文
* 共同一作 # 通讯作者
1.Wei Lou, Haofeng Li#(通讯作者), Guanbin Li, Xiaoguang Han, Xiang Wan, Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework, IEEE Transactions on Medical Imaging (TMI, IF=11.037), 2022.11
2.Junjia Huang, Haofeng Li#(通讯作者), Guanbin Li#, Xiang Wan, Attentive Symmetric Autoencoder for Brain MRI Segmentation, Early Accept (top 13%) in MICCAI, 2022.09
3.Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, View-Disentangled Transformer for Brain Lesion Detection, International Symposium on Biomedical Imaging (ISBI), 2022.03
4.Jiutao Yue*, Haofeng Li* (共同一作), Pengxu Wei, Guanbin Li, Liang Lin, Robust Real-World Image Super-Resolution against Adversarial Attacks, ACM Multimedia (CCF A), 2021.10
5.Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (共同一作), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (IF = 8.545), 2021.08
6.Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu, Online Alternate Generator against Adversarial Attacks, IEEE Transactions on Image Processing (TIP, CCF A, IF=10.856), 2020.09
7.Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.11
8.Haofeng Li, Guanbin Li, Yizhou Yu, ROSA: Robust Salient Object Detection Against Adversarial Attacks, IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
9.Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu, Context Aware Semantic Inpainting, IEEE Transactions on Cybernetics (JCR Q1), 2018
10.Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, Oral Presentation in AAAI (CCF A), 2019
11.Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019
职务/职称
深圳市大数据研究院医疗大数据实验室研究科学家
研究方向
医疗影像智能分析，计算机视觉，深度神经网络
电子邮箱
lhaof@sribd.cn
教育背景
香港大学计算机科学博士
中山大学计算机科学理学学士
主要成果/荣誉
NeurIPS 2022 细胞分割挑战赛全球亚军
主持中国国家自然科学基金项目
主持广东省基础与应用基础研究基金面上项目
个人介绍
李灏峰博士，现任深圳市大数据研究科学家，2015年于中山大学计算机系获理学学士学位，2020年于香港大学计算机系获博士学位。其研究方向包括医疗影像分析、脑核磁成像分析、组织病理学图像分析和计算机视觉等，在该方向著名国家期刊和会议发表论文20多篇，包括IEEE TMI, MedIA, MICCAI, ICCV, AAAI, ACM MM, IEEE TIP, IEEE TCyb, ISBI等。李灏峰博士是顶级期刊和会议IEEE TPAMI, IEEE TIP, IEEE TCYB, Pattern Regconition, Neurocomputing, NeurIPS 2022, MICCAI 2023等的审稿人。他是IEEE电气电子工程师学会、中国计算机学会和广东省卫生信息网络协会病理数字化应用分会的会员，被评为深圳市海外高层次人才，并入选深龙英才计划。他目前作为项目负责人主持中国国家自然科学基金项目一项，和广东省基础与应用基础研究基金面上项目一项。他曾带领他的团队于2022年12月获得NeurIPS 全球细胞分割挑战赛亚军（100多只参赛队伍）。更多细节详见 http://haofengli.net/
代表性论文
* 共同一作 # 通讯作者
1.Wei Lou, Haofeng Li#(通讯作者), Guanbin Li, Xiaoguang Han, Xiang Wan, Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework, IEEE Transactions on Medical Imaging (TMI, IF=11.037), 2022.11
2.Junjia Huang, Haofeng Li#(通讯作者), Guanbin Li#, Xiang Wan, Attentive Symmetric Autoencoder for Brain MRI Segmentation, Early Accept (top 13%) in MICCAI, 2022.09
3.Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan, View-Disentangled Transformer for Brain Lesion Detection, International Symposium on Biomedical Imaging (ISBI), 2022.03
4.Jiutao Yue*, Haofeng Li* (共同一作), Pengxu Wei, Guanbin Li, Liang Lin, Robust Real-World Image Super-Resolution against Adversarial Attacks, ACM Multimedia (CCF A), 2021.10
5.Hong-Yu Zhou*, Chengdi Wang*, Haofeng Li* (共同一作), Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu, SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation, Medical Image Analysis (IF = 8.545), 2021.08
6.Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu, Online Alternate Generator against Adversarial Attacks, IEEE Transactions on Image Processing (TIP, CCF A, IF=10.856), 2020.09
7.Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu, Motion Guided Attention for Video Salient Object Detection, IEEE International Conference on Computer Vision (ICCV, CCF A), 2019.11
8.Haofeng Li, Guanbin Li, Yizhou Yu, ROSA: Robust Salient Object Detection Against Adversarial Attacks, IEEE Transactions on Cybernetics (JCR Q1, IF=11.079), 2019
9.Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, Yizhou Yu, Context Aware Semantic Inpainting, IEEE Transactions on Cybernetics (JCR Q1), 2018
10.Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang, Yizhou Yu, Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks, Oral Presentation in AAAI (CCF A), 2019
11.Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu, Harvesting Visual Objects from Internet Images via Deep Learning Based Objectness Assessment, ACM Transactions on Multimedia Computing, Communications and Applications TOMM (CCF B), 2019
