https://njuhml.github.io/assets/zhaoyang.html-CdzEjyiY.js

1import{_ as u,c as i,d as l,a as d,e as r,b as e,w as s,r as a,o as p}from"./app-DRIwQmJ8.js";const m={};function b(f,n){const t=a("font"),o=a("RouteLink");return p(),i("div",null,[n[20]||(n[20]=l("h1",{id:"赵阳",tabindex:"-1"},[l("a",{class:"header-anchor",href:"#赵阳"},[l("span",null,"赵阳")])],-1)),n[21]||(n[21]=l("hr",null,null,-1)),l("p",null,[n[2]||(n[2]=l("br",null,null,-1)),n[3]||(n[3]=l("br",null,null,-1)),n[4]||(n[4]=l("br",null,null,-1)),n[5]||(n[5]=r("    ",-1)),l("b",null,[e(t,{size:"+3",face:"楷书"},{default:s(()=>n[0]||(n[0]=[r(" 赵阳 ",-1)])),_:1,__:[0]})]),n[6]||(n[6]=l("br",null,null,-1)),n[7]||(n[7]=l("br",null,null,-1)),n[8]||(n[8]=r("    硕士，",-1)),e(o,{to:"/"},{default:s(()=>n[1]||(n[1]=[r("NJUHML Group",-1)])),_:1,__:[1]}),n[9]||(n[9]=l("br",null,null,-1)),n[10]||(n[10]=r("    ",-1)),n[11]||(n[11]=l("a",{href:"https://as.nju.edu.cn/main.htm",target:"_blank",rel:"noopener noreferrer"},"南京大学大气科学学院",-1)),n[12]||(n[12]=l("br",null,null,-1)),n[13]||(n[13]=l("br",null,null,-1)),n[14]||(n[14]=r("    ",-1)),n[15]||(n[15]=l("strong",null,"Email: [email protected]",-1)),n[16]||(n[16]=l("br",null,null,-1)),n[17]||(n[17]=l("br",null,null,-1)),n[18]||(n[18]=l("br",null,null,-1)),n[19]||(n[19]=l("br",null,null,-1))]),n[22]||(n[22]=d('<h2 id="about-me" tabindex="-1"><a class="header-anchor" href="#about-me"><span>About Me</span></a></h2><ul><li>2020.09-2024.06 南京大学，大气科学学院，本科</li><li>2024.09-2027.06 南京大学，大气科学学院，研究生</li></ul><h2 id="research-interests" tabindex="-1"><a class="header-anchor" href="#research-interests"><span>Research Interests</span></a></h2><p>主要研究为基于深度学习的时空降尺度技术、AI气象大模型、台风路径预报与强度订正等。</p><h2 id="awards" tabindex="-1"><a class="header-anchor" href="#awards"><span>Awards</span></a></h2><ul><li>第十九届“挑战杯”竞赛 2024 年度“揭榜挂帅”专项赛 全国一等奖 （2024.12）</li><li>美国大学生数学建模竞赛（MCM/ICM） Meritorious Winner（国际一等奖） （2022.02）</li></ul><h2 id="study" tabindex="-1"><a class="header-anchor" href="#study"><span>Study</span></a></h2><ul><li>赵阳, 毕振凯, 袁慧玲. 基于深度学习的时空降尺度方法. 海报展示. 第三届中国数字地球大会, 苏州, 2024 å¹´ 6 月 1 日-2 日.</li><li>范禹韬, 毕振凯, 赵阳, 袁慧玲. 基于深度学习的数值模式产品时空降尺度方法及可解释性应用. 校级优秀论文团队</li><li>以第一发明人身份发表发明专利《一种基于 UNet 的 PPI 雷达回波智能滤波方法》 ，授权号：ZL202510288488.0</li><li>以第三发明人身份申请发明专利《一种基于 KAN 网络的毫米波云雷达回波智能识别方法》 ，申请号：ZL202510281809.4</li></ul><h2 id="supervisor" tabindex="-1"><a class="header-anchor" href="#supervisor"><span>Supervisor</span></a></h2><p><a href="https://as.nju.edu.cn/60/20/c11339a483360/page.htm" target="_blank" rel="noopener noreferrer">袁慧玲教授</a></p><h2 id="correspondence" tabindex="-1"><a class="header-anchor" href="#correspondence"><span>Correspondence</span></a></h2><p>Email: [email protected]</p>',12))])}const g=u(m,[["render",b]]),x=JSON.parse('{"path":"/member/student/zhaoyang.html","title":"赵阳","lang":"zh-CN","frontmatter":{},"git":{"updatedTime":1754924030000,"contributors":[{"name":"amadeus2021-lyh","username":"amadeus2021-lyh","email":"[email protected]","commits":1,"url":"https://github.com/amadeus2021-lyh"}],"changelog":[{"hash":"4d6bf9b16e5d0ed560314dc0e529310b4b518021","time":1754924030000,"email":"[email protected]","author":"amadeus2021-lyh","message":"发布版3.0"}]},"filePathRelative":"member/student/zhaoyang.md"}');export{g as comp,x as data};