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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Fengyan Lin — AI Research Engineer, Fujian Normal University">
<title>Fengyan Lin | 个人主页 · Homepage</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:ital,wght@0,400;0,500;0,600;0,700;1,400&family=Inter:ital,wght@0,400;0,500;0,600;0,700;1,400&display=swap" rel="stylesheet">
<style>
/* ══════════════════════════════════════════════════
RESET
══════════════════════════════════════════════════ */
*,*::before,*::after{margin:0;padding:0;box-sizing:border-box}
html{scroll-behavior:smooth}
img{max-width:100%;height:auto;display:block}
a{color:inherit;text-decoration:none}
ul{list-style:none}
button{font-family:inherit}
/* ══════════════════════════════════════════════════
DESIGN TOKENS
══════════════════════════════════════════════════ */
:root{
--bg: #ffffff;
--bg2: #fafaf8;
--border: #e8e7e2;
--border2: #d0cfc9;
--txt: #0f0f0e;
--txt2: #52524e;
--txt3: #9e9d97;
--green: #16a34a;
--gbg: #f0fdf4;
--gbd: #bbf7d0;
--blue: #1d4ed8;
--bbg: #eff6ff;
--bbd: #bfdbfe;
--red: #dc2626;
--rbg: #fef2f2;
--rbd: #fecaca;
--amber: #b45309;
--abg: #fffbeb;
--abd: #fde68a;
--purple: #6d28d9;
--pbg: #f5f3ff;
--pbd: #ddd6fe;
--sans: 'Inter',-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif;
--mono: 'JetBrains Mono','Fira Code','Consolas',monospace;
--max: 780px;
--px: 28px;
}
/* ══════════════════════════════════════════════════
BASE
══════════════════════════════════════════════════ */
body{
font-family:var(--sans);
background:var(--bg);
color:var(--txt);
line-height:1.72;
-webkit-font-smoothing:antialiased;
}
::-webkit-scrollbar{width:3px}
::-webkit-scrollbar-thumb{background:var(--border2);border-radius:2px}
.wrap{max-width:var(--max);margin:0 auto;padding:0 var(--px)}
/* ══════════════════════════════════════════════════
NAV
══════════════════════════════════════════════════ */
#nav{
position:sticky;top:0;z-index:100;
background:rgba(255,255,255,.94);
backdrop-filter:blur(18px);
-webkit-backdrop-filter:blur(18px);
border-bottom:1px solid var(--border);
}
.nav-inner{
max-width:var(--max);margin:0 auto;padding:0 var(--px);
height:50px;display:flex;align-items:center;justify-content:space-between;
}
.nav-brand{
display:flex;align-items:baseline;gap:8px;
font-size:.88rem;font-weight:600;color:var(--txt);letter-spacing:-.01em;
}
.nav-brand-sub{
font-family:var(--mono);font-size:.68rem;
color:var(--green);font-weight:500;letter-spacing:.02em;
}
.nav-menu{display:flex;align-items:center;gap:0}
.nav-menu a{
font-size:.78rem;color:var(--txt2);
padding:5px 11px;border-radius:5px;
transition:color .14s,background .14s;
white-space:nowrap;
}
.nav-menu a:hover{color:var(--txt);background:#f2f1ed}
.nav-menu a.active{color:var(--green)}
.hamburger{
display:none;flex-direction:column;gap:5px;
background:none;border:none;cursor:pointer;padding:5px;
}
.hamburger span{
display:block;width:19px;height:1.5px;
background:var(--txt);border-radius:1px;transition:.22s;
}
.hamburger.open span:nth-child(1){transform:translateY(6.5px) rotate(45deg)}
.hamburger.open span:nth-child(2){opacity:0;transform:scaleX(0)}
.hamburger.open span:nth-child(3){transform:translateY(-6.5px) rotate(-45deg)}
/* ══════════════════════════════════════════════════
SECTION SHELL
══════════════════════════════════════════════════ */
.sec{padding:50px 0}
.sec+.sec{border-top:1px solid var(--border)}
.sec-label{
font-family:var(--mono);font-size:.68rem;color:var(--green);
font-weight:600;letter-spacing:.12em;text-transform:uppercase;
margin-bottom:3px;
}
.sec-title{
font-size:1.12rem;font-weight:700;letter-spacing:-.025em;color:var(--txt);
margin-bottom:22px;
}
.sec-title span{
font-size:.82rem;font-weight:400;color:var(--txt3);
margin-left:8px;letter-spacing:0;
}
/* ══════════════════════════════════════════════════
BADGE SYSTEM
══════════════════════════════════════════════════ */
.bd{
display:inline-flex;align-items:center;
font-family:var(--mono);font-size:.67rem;font-weight:500;
padding:2px 7px;border-radius:3px;white-space:nowrap;
}
.bd-g {background:var(--gbg);color:var(--green);border:1px solid var(--gbd)}
.bd-b {background:var(--bbg);color:var(--blue);border:1px solid var(--bbd)}
.bd-r {background:var(--rbg);color:var(--red);border:1px solid var(--rbd)}
.bd-a {background:var(--abg);color:var(--amber);border:1px solid var(--abd)}
.bd-p {background:var(--pbg);color:var(--purple);border:1px solid var(--pbd)}
.bd-n {background:var(--bg2);color:var(--txt2);border:1px solid var(--border)}
/* ══════════════════════════════════════════════════
ABOUT — PROFILE HEADER
══════════════════════════════════════════════════ */
#about{padding:52px 0 46px}
.profile-row{
display:flex;gap:26px;align-items:flex-start;
margin-bottom:30px;
}
.avatar-wrap{
flex-shrink:0;width:106px;height:106px;border-radius:10px;
border:1px solid var(--border);overflow:hidden;
background:linear-gradient(135deg,var(--gbg),var(--bbg));
display:flex;align-items:center;justify-content:center;
font-size:2.8rem;
}
.avatar-wrap img{width:100%;height:100%;object-fit:cover}
.profile-meta{}
.profile-name{
font-size:1.7rem;font-weight:700;letter-spacing:-.04em;
line-height:1.1;margin-bottom:5px;
}
.profile-name-zh{
font-size:1rem;font-weight:400;color:var(--txt2);margin-left:5px;
}
.profile-role{
font-family:var(--mono);font-size:.76rem;color:var(--txt2);
margin-bottom:10px;line-height:1.6;
}
.profile-affil{
font-size:.84rem;color:var(--txt2);line-height:1.75;
margin-bottom:11px;
}
.profile-affil a{
color:var(--blue);border-bottom:1px solid transparent;
transition:border-color .14s;
}
.profile-affil a:hover{border-bottom-color:var(--blue)}
.plinks{display:flex;flex-wrap:wrap;gap:6px;margin-bottom:10px}
.plink{
display:inline-flex;align-items:center;gap:5px;
font-family:var(--mono);font-size:.7rem;
padding:3px 9px;border-radius:4px;
border:1px solid var(--border);color:var(--txt2);
background:var(--bg2);transition:.13s;
}
.plink:hover{border-color:var(--border2);color:var(--txt)}
.plink.gl:hover{border-color:var(--gbd);color:var(--green);background:var(--gbg)}
.ptags{display:flex;flex-wrap:wrap;gap:5px}
/* ══════════════════════════════════════════════════
ABOUT — BIO
══════════════════════════════════════════════════ */
.block-head{
font-family:var(--mono);font-size:.68rem;color:var(--txt3);
font-weight:600;letter-spacing:.1em;text-transform:uppercase;
display:flex;align-items:center;gap:9px;
margin-bottom:13px;margin-top:28px;
}
.block-head::after{content:'';flex:1;height:1px;background:var(--border)}
.bio-p{
font-size:.875rem;color:var(--txt2);
line-height:1.83;margin-bottom:9px;
}
.bio-p.zh{font-size:.84rem;color:var(--txt3);margin-bottom:0}
.bio-p.accent{
color:var(--green);font-style:italic;font-size:.83rem;
margin-top:10px;
}
.bio-p strong{color:var(--txt);font-weight:600}
/* ══════════════════════════════════════════════════
ABOUT — EDUCATION TIMELINE
══════════════════════════════════════════════════ */
.edu-row{
display:flex;align-items:flex-start;gap:15px;
padding:14px 0;border-bottom:1px solid var(--border);
}
.edu-row:first-of-type{border-top:1px solid var(--border)}
.edu-period{
font-family:var(--mono);font-size:.68rem;color:var(--txt3);
min-width:88px;flex-shrink:0;padding-top:3px;line-height:1.55;
}
.edu-pip{
width:7px;height:7px;border-radius:50%;
border:1.5px solid var(--green);background:var(--bg);
margin-top:5px;flex-shrink:0;
}
.edu-body{}
.edu-title{font-size:.88rem;font-weight:600;line-height:1.45;margin-bottom:3px}
.edu-sub {font-size:.82rem;color:var(--txt2);margin-bottom:3px}
.edu-note {font-size:.78rem;color:var(--txt3);margin-bottom:6px;line-height:1.5}
.edu-bds {display:flex;flex-wrap:wrap;gap:5px}
/* ══════════════════════════════════════════════════
AWARDS — inline compact list
══════════════════════════════════════════════════ */
.aw-list{display:flex;flex-direction:column;gap:0}
.aw-row{
display:flex;gap:10px;align-items:baseline;
padding:8px 0;border-bottom:1px solid var(--border);
font-size:.84rem;color:var(--txt2);line-height:1.6;
}
.aw-row:first-child{border-top:1px solid var(--border)}
.aw-dot{
width:5px;height:5px;border-radius:50%;background:var(--green);
margin-top:8px;flex-shrink:0;
}
.aw-row strong{color:var(--txt);font-weight:600}
/* ══════════════════════════════════════════════════
PAPERS — academic list
══════════════════════════════════════════════════ */
.pub-group-head{
font-family:var(--mono);font-size:.68rem;font-weight:700;
color:var(--txt3);letter-spacing:.1em;text-transform:uppercase;
padding:14px 0 11px;
border-top:1px solid var(--border);
margin-top:8px;
}
.pub-group-head:first-of-type{border-top:none;margin-top:0;padding-top:0}
.pub-item{
display:flex;gap:12px;
padding:14px 0;border-bottom:1px solid var(--border);
}
.pub-num{
font-family:var(--mono);font-size:.76rem;color:var(--border2);
font-weight:700;min-width:22px;flex-shrink:0;padding-top:2px;
}
.pub-body{}
.pub-title{
font-size:.875rem;font-weight:600;line-height:1.5;
color:var(--txt);margin-bottom:6px;
}
.pub-title a{transition:.14s}
.pub-title a:hover{color:var(--green)}
.pub-authors{
font-size:.82rem;color:var(--txt2);
line-height:1.65;margin-bottom:5px;
}
.pub-authors strong{
color:var(--txt);font-weight:600;
text-decoration:underline;text-underline-offset:2px;
text-decoration-color:var(--border2);
}
.pub-venue{
font-size:.82rem;color:var(--txt2);
font-style:italic;margin-bottom:8px;line-height:1.55;
}
.pub-venue b{font-style:normal;color:var(--txt);font-weight:600}
.pub-bds{display:flex;flex-wrap:wrap;gap:5px;margin-bottom:8px}
.pub-links{display:flex;flex-wrap:wrap;gap:6px}
.pub-link{
font-family:var(--mono);font-size:.68rem;
padding:2px 8px;border-radius:3px;
border:1px solid var(--border);color:var(--txt2);
background:var(--bg2);transition:.13s;
}
.pub-link:hover{border-color:var(--green);color:var(--green);background:var(--gbg)}
.pub-note{
font-size:.77rem;color:var(--txt3);font-style:italic;
margin-top:8px;line-height:1.65;
padding-left:9px;border-left:2px solid var(--border);
}
/* ══════════════════════════════════════════════════
PROJECTS — expandable list
══════════════════════════════════════════════════ */
.proj-list{}
.proj-entry{border-bottom:1px solid var(--border);overflow:hidden}
.proj-entry:first-child{border-top:1px solid var(--border)}
.proj-trigger{
width:100%;background:none;border:none;cursor:pointer;
padding:15px 0;text-align:left;
display:flex;gap:12px;align-items:flex-start;
transition:.13s;
}
.proj-trigger:hover .proj-t-title{color:var(--green)}
.proj-t-idx{
font-family:var(--mono);font-size:.7rem;color:var(--txt3);
min-width:22px;flex-shrink:0;padding-top:3px;
}
.proj-t-main{flex:1;min-width:0}
.proj-t-title{
font-size:.88rem;font-weight:600;line-height:1.45;
color:var(--txt);transition:.13s;margin-bottom:3px;
text-align:left;
}
.proj-t-brief{
font-size:.78rem;color:var(--txt3);line-height:1.55;text-align:left;
}
.proj-t-side{
display:flex;flex-direction:column;align-items:flex-end;
gap:5px;flex-shrink:0;
}
.proj-t-period{font-family:var(--mono);font-size:.67rem;color:var(--txt3);white-space:nowrap}
.proj-t-role{
font-size:.68rem;padding:2px 7px;border-radius:3px;
white-space:nowrap;
}
.proj-t-arr{
font-family:var(--mono);font-size:.65rem;color:var(--txt3);
transition:transform .3s;line-height:1;
}
.proj-entry.open .proj-t-arr{transform:rotate(180deg)}
.proj-collapse{
max-height:0;overflow:hidden;
transition:max-height .4s cubic-bezier(.4,0,.2,1);
}
.proj-collapse.open{max-height:2400px}
.proj-content{
padding:0 0 22px 34px;
}
.proj-en{font-size:.85rem;color:var(--txt2);line-height:1.82;margin-bottom:7px}
.proj-zh{font-size:.82rem;color:var(--txt3);line-height:1.78;margin-bottom:14px}
.proj-stacks{display:flex;flex-wrap:wrap;gap:5px;margin-bottom:16px}
.proj-stack{
font-family:var(--mono);font-size:.69rem;
padding:2px 7px;border-radius:3px;
background:var(--bbg);color:var(--blue);border:1px solid var(--bbd);
}
.contrib-title{
font-family:var(--mono);font-size:.67rem;font-weight:700;
color:var(--txt);letter-spacing:.08em;text-transform:uppercase;
margin-bottom:9px;
}
.contrib-items{display:flex;flex-direction:column;gap:7px}
.contrib-row{
display:grid;grid-template-columns:6px 1fr;gap:11px;
font-size:.83rem;color:var(--txt2);line-height:1.75;
}
.contrib-pip{
width:5px;height:5px;border-radius:50%;
background:var(--green);margin-top:9px;
}
.proj-imgs{display:flex;flex-wrap:wrap;gap:9px;margin-top:16px}
.proj-img-box{display:flex;flex-direction:column;gap:4px}
.proj-img{
border-radius:5px;border:1px solid var(--border);
max-width:210px;width:100%;
}
.proj-img-cap{font-family:var(--mono);font-size:.63rem;color:var(--txt3)}
/* ══════════════════════════════════════════════════
FUNDED RESEARCH
══════════════════════════════════════════════════ */
.fund-list{}
.fund-item{
display:flex;gap:12px;
padding:15px 0;border-bottom:1px solid var(--border);
}
.fund-item:first-child{border-top:1px solid var(--border)}
.fund-n{
font-family:var(--mono);font-size:.76rem;color:var(--border2);
font-weight:700;min-width:22px;flex-shrink:0;padding-top:2px;
}
.fund-body{}
.fund-en{font-size:.875rem;font-weight:600;line-height:1.5;margin-bottom:5px}
.fund-zh{font-size:.84rem;color:var(--txt2);margin-bottom:9px;line-height:1.55}
.fund-meta{display:flex;flex-wrap:wrap;gap:5px;align-items:center}
.fund-code{font-family:var(--mono);font-size:.67rem;color:var(--txt3)}
/* ══════════════════════════════════════════════════
FOOTER
══════════════════════════════════════════════════ */
footer{
border-top:1px solid var(--border);
padding:26px var(--px);
background:var(--bg2);
}
.foot-inner{
max-width:var(--max);margin:0 auto;
display:flex;flex-direction:column;align-items:center;gap:10px;
}
.foot-name{font-size:.88rem;font-weight:600;color:var(--txt)}
.foot-links{display:flex;flex-wrap:wrap;justify-content:center;gap:14px}
.foot-links a{
font-family:var(--mono);font-size:.7rem;
color:var(--blue);transition:.13s;
}
.foot-links a:hover{color:var(--green)}
.foot-copy{font-family:var(--mono);font-size:.64rem;color:var(--txt3);text-align:center}
/* ══════════════════════════════════════════════════
RESPONSIVE
══════════════════════════════════════════════════ */
@media(max-width:620px){
:root{--px:16px}
#about{padding:36px 0 32px}
.sec{padding:36px 0}
.profile-row{flex-direction:column;gap:16px}
.avatar-wrap{width:78px;height:78px;font-size:2.1rem}
.profile-name{font-size:1.38rem}
.nav-menu{
display:none;flex-direction:column;
position:absolute;top:50px;left:0;right:0;
background:rgba(255,255,255,.97);
border-bottom:1px solid var(--border);
padding:6px 0;z-index:99;
}
.nav-menu.open{display:flex}
.nav-menu a{border-radius:0;padding:11px 20px;font-size:.84rem}
.hamburger{display:flex}
.pub-item{flex-direction:column;gap:4px}
.proj-trigger{flex-wrap:wrap}
.proj-t-side{flex-direction:row;align-items:center;flex-wrap:wrap;gap:7px;margin-left:34px}
.fund-item{flex-direction:column;gap:5px}
.edu-row{gap:10px}
.edu-period{min-width:76px;font-size:.65rem}
.proj-trigger{
flex-wrap: nowrap; /* 取消换行，避免子元素乱序 */
flex-direction: column; /* 改为纵向排列，适配小屏 */
gap: 8px !important; /* 增加内部间距 */
}
.proj-t-main{
width: 100%; /* 占满宽度 */
}
.proj-t-title{
font-size: .82rem; /* 小屏缩小字体 */
white-space: normal; /* 强制换行 */
word-break: break-word; /* 长单词/中文换行 */
}
.proj-t-brief{
font-size: .74rem; /* 小屏缩小字体 */
color: var(--txt3);
white-space: normal;
word-break: break-word;
}
.proj-t-side{
flex-direction: row !important;
align-items: center !important;
gap: 10px !important;
margin-left: 0 !important; /* 取消左侧偏移 */
width: 100%; /* 占满宽度 */
justify-content: flex-start; /* 左对齐 */
padding-left: 0; /* 重置内边距 */
}
.proj-t-idx{
min-width: 20px; /* 缩小序号宽度 */
}
}
@media(max-width:420px){
:root{--px:14px}
.plinks{gap:5px}
}
</style>
</head>
<body>
<!-- ══════════ NAV ══════════ -->
<nav id="nav">
<div class="nav-inner">
<div class="nav-brand">
Fengyan Lin
<span class="nav-brand-sub">/ homepage</span>
</div>
<nav class="nav-menu" id="navMenu">
<a href="#about">About Me</a>
<a href="#papers">Papers</a>
<a href="#projects">Projects</a>
<a href="#funded">Research</a>
</nav>
<button class="hamburger" id="burger" aria-label="menu">
<span></span><span></span><span></span>
</button>
</div>
</nav>
<!-- ══════════ ABOUT ══════════ -->
<section id="about">
<div class="wrap">
<!-- Profile Header -->
<div class="profile-row">
<div class="avatar-wrap">
<img src="data:image/webp;base64,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" alt="YOUR NAME">
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Fengyan Lin
<span class="profile-name-zh"></span>
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AI Algorithm Engineer · Graduate Researcher in Cybersecurity<br>
AI 算法工程师 · 网络信息安全研究生在读
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School of Computer and Cyberspace Security, Fujian Provincial Key Laboratory of Network Security and Cryptology
<a href="https://www.fjnu.edu.cn/" target="_blank">Fujian Normal University</a>
· Fuzhou, Fujian, China<br>
<small style="color:var(--txt3)">福建省网络安全与密码技术重点实验室· 福建师范大学，福建·福州</small>
<br>
<small>
Fuzhou Lianhe Xiaozhi Information Technology Co., Ltd.
· <span style="color:var(--txt3)">福州联合晓智信息技术有限公司</span>
</small>
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✉ Email
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⌥ GitHub
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<span class="bd bd-g">🤖 AI Agent</span>
<span class="bd bd-g">👁 Computer Vision</span>
<span class="bd bd-g">🧠 LLM · RAG</span>
<span class="bd bd-n">IEEE Student Member</span>
<span class="bd bd-n">CCF Student Member</span>
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<div class="block-head">About Me · 关于我</div>
<p class="bio-p">
I am currently a master's student in Cybersecurity at <strong>Fujian Normal University</strong>. I am simultaneously working as an <strong>AI Algorithm Engineer</strong>
at Fuzhou Lianhe Xiaozhi Information Technology Co., Ltd., focused on AI engineering and applied innovation.
</p>
<p class="bio-p zh">
现就读于福建大学网络信息安全专业，同时担任福州联合晓智信息技术有限公司 AI 算法工程师，专注于 AI 工程化落地与创新应用开发。
</p>
<p class="bio-p" style="margin-top:10px">
My research interests lie in Computer Vision, Deep Learning, and
Visual Large Language Models, with a focus on <strong>Action Quality Assessment (AQA)</strong>,<strong> Pose Estimation</strong> and
<strong>multimodal emotion recognition</strong>. I also have extensive engineering experience in LLM-based intelligent agents,
RAG pipelines, and AI automation workflows.
</p>
<p class="bio-p zh">
研究兴趣涵盖计算机视觉、深度学习与视觉大语言模型，专注于动作质量评估、姿态估计和多模态情感识别。在大语言模型智能体系统、RAG 检索增强与 AI 自动化工作流方面亦积累了丰富的工程实践经验。
</p>
<p class="bio-p accent">
I always strive to bridge academic research and real-world engineering —
from publishing in top venues to deploying production-ready AI systems.
· 致力于将学术研究与工程落地相结合，从顶会论文到商业化部署，探索 AI 的边界。
</p>
<!-- Education -->
<div class="block-head">Education · 教育背景</div>
<div class="edu-row">
<div class="edu-period">2024.09 —<br>2027.06<br><span style="color:var(--green);font-size:.62rem">In Progress</span></div>
<div class="edu-pip"></div>
<div class="edu-body">
<div class="edu-title">M.Eng. in Cybersecurity · 工学硕士，网络信息安全</div>
<div class="edu-sub">Fujian Normal University · 福建师范大学</div>
<div class="edu-note">
Research: Action Quality Assessment、Pose Estimation、Computer Vision, Vision-Language Models<br>
研究方向：动作评估、姿态估计、计算机视觉、视觉大语言模型
</div>
<div class="edu-bds">
<span class="bd bd-g">GPA 3.65 / 4.0</span>
<span class="bd bd-g">专业排名 1 / 27</span>
</div>
</div>
</div>
<div class="edu-row">
<div class="edu-period">2020.09 —<br>2024.04</div>
<div class="edu-pip"></div>
<div class="edu-body">
<div class="edu-title">B.Eng. in Computer Science · 工学学士，计算机科学与技术</div>
<div class="edu-sub">Fujian Normal University · 福建师范大学</div>
<div class="edu-note">
Rank 25 / 138 (Top 20%) · Outstanding Graduate<br>
专业排名 25/138（前 20%）· 优秀毕业生
</div>
<div class="edu-bds">
<span class="bd bd-b">Top 20%</span>
<span class="bd bd-n">优秀毕业生</span>
</div>
</div>
</div>
<!-- Awards -->
<div class="block-head">Honors & Awards · 获奖荣誉</div>
<div class="aw-list">
<div class="aw-row">
<div class="aw-dot"></div>
<div><strong>First Prize (Fujian Region)</strong> — 25th National Undergraduate Mathematical Modeling Competition (CUMCM) · 第二十五届全国大学生数学建模竞赛福建赛区一等奖</div>
</div>
<div class="aw-row">
<div class="aw-dot"></div>
<div><strong>National Third Prize</strong> — 21st China Graduate Mathematical Modeling Contest (Huawei Cup) · 华为杯第二十一届中国研究生数学建模竞赛国家三等奖</div>
</div>
<div class="aw-row">
<div class="aw-dot"></div>
<div><strong>Provincial Third Prize</strong> — 25th & 26th China Robot and AI Competition (Fujian) · 第二十五、二十六届中国机器人及人工智能大赛福建省三等奖</div>
</div>
<div class="aw-row">
<div class="aw-dot"></div>
<div>Graduate <strong>First-Class Excellence Scholarship</strong> · 研究生优秀学生一等奖学金</div>
</div>
<div class="aw-row">
<div class="aw-dot"></div>
<div>Undergraduate <strong>Second & Third-Class Excellence Scholarships</strong> (×4) · 本科期间多次获优秀学生奖学金</div>
</div>
<div class="aw-row">
<div class="aw-dot"></div>
<div><strong>Outstanding Graduate</strong>, Outstanding Communist Youth League Member, Three-Good Student · 优秀毕业生、优秀共青团员、校三好学生</div>
</div>
</div>
</div>
</section>
<!-- ══════════ PAPERS ══════════ -->
<section class="sec" id="papers">
<div class="wrap">
<div class="sec-label">Publications</div>
<div class="sec-title">学术论文 <span>· Academic Papers</span></div>
<!-- JOURNAL -->
<div class="pub-group-head">Journal Papers · 期刊论文</div>
<!-- J1 -->
<div class="pub-item">
<div class="pub-num">J1</div>
<div class="pub-body">
<div class="pub-title">
Enhancing Long-Term Action Quality Assessment: A Dual-Modality Dataset and Causal Cross-Modal Framework for Trampoline Gymnastics
</div>
<div class="pub-venue">
<b>Sensors</b>
</div>
<div class="pub-bds">
<span class="bd bd-b">第一作者 · First Author</span>
<span class="bd bd-n">中科院三区 · CAS Zone 3</span>
<span class="bd bd-n">SCIE · Q2</span>
</div>
<div class="pub-links">
<a class="pub-link" href="https://www.mdpi.com/1424-8220/25/18/5824">[Paper]</a>
<a class="pub-link" href="https://github.com/mlxger/Trampoline">[Code]</a>
</div>
<div class="pub-note">
Focus: Long-term action quality assessment for trampoline gymnastics with dual-modality dataset and causal cross-modal framework.
· 构建首个蹦床双模态数据集Trampoline-AQA，提出时序增强与前瞻因果跨模态融合框架，显著提升长时动作质量评估精度与泛化性。
</div>
</div>
</div>
<!-- J2 -->
<div class="pub-item">
<div class="pub-num">J2</div>
<div class="pub-body">
<div class="pub-title">
Enhancing Long-Term Action Quality Assessment with Hypergraph Transformer Network
</div>
<div class="pub-venue">
<b>IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)</b>, Revise
</div>
<div class="pub-bds">
<span class="bd bd-b">第一作者 · First Author</span>
<span class="bd bd-r">中科院一区 TOP · CAS Q1 TOP</span>
<span class="bd bd-w">Revise</span>
</div>
<div class="pub-note">
Propose the Transformer framework for hypergraphs, which significantly improves evaluation accuracy and generalization in rhythmic gymnastics, figure skating and other movements.
· 提出超图Transformer框架，在韵律体操、花样滑冰等动作上显著提升评估精度与泛化性。
</div>
</div>
</div>
<!-- CONFERENCE -->
<div class="pub-group-head">Conference Papers · 会议论文</div>
<!-- C1 -->
<div class="pub-item">
<div class="pub-num">C1</div>
<div class="pub-body">
<div class="pub-title">
Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy
</div>
<div class="pub-venue">
<b>IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</b>, 2026, Denver, USA
</div>
<div class="pub-bds">
<span class="bd bd-p">第二作者 · Co-author (second in order)</span>
<span class="bd bd-r">CCF A </span>
</div>
<div class="pub-links">
<a class="pub-link" href="https://cvpr.thecvf.com/virtual/2026/poster/38884">[Paper]</a>
<a class="pub-link" href="https://github.com/waHAHJIAHAO/Nano-EmoX">[Code]</a>
</div>
<div class="pub-note">
Focus: Multimodal emotion recognition spanning perception, understanding, and empathy dimensions using large vision-language models.
· 基于大视觉语言模型的多模态情感智能研究，涵盖情感感知、理解与共情三个维度。
</div>
</div>
</div>
<!-- C2 -->
<div class="pub-item">
<div class="pub-num">C2</div>
<div class="pub-body">
<div class="pub-title">
TaiChi-AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis
</div>
<div class="pub-venue">
<b>IET Computer Vision</b>, 2026
</div>
<div class="pub-bds">
<span class="bd bd-p">第二作者 · Co-author (second in order)</span>
<span class="bd bd-n">CCF C</span>
<span class="bd bd-n">SCIE</span>
</div>
<div class="pub-links">
<a class="pub-link" href="https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.70053">[Paper]</a>
<a class="pub-link" href="https://github.com/mlxger/TaiChi-AQA">[Dataset]</a>
</div>
<div class="pub-note">
Introduces the first large-scale Tai Chi action quality assessment dataset along with a baseline evaluation framework.
· 首个大规模太极拳动作质量评估数据集及基线评估框架。
</div>
</div>
</div>
</div>
</section>
<!-- ══════════ PROJECTS ══════════ -->
<section class="sec" id="projects">
<div class="wrap">
<div class="sec-label">Projects</div>
<div class="sec-title">项目经历 <span>· Research & Engineering Projects</span></div>
<div class="proj-list">
<!-- P1 -->
<div class="proj-entry" id="p1">
<button class="proj-trigger" onclick="toggleProj('p1')">
<div class="proj-t-idx">01</div>
<div class="proj-t-main">
<div class="proj-t-title">NB Player Trading Card — Image Recognition & Segmentation · NB 球星卡——图像识别与字段提取</div>
<div class="proj-t-brief">
Million-image scale recognition with second-level retrieval · 百万级图像秒级检索，实现特征提取、精准检索与卡面信息结构化提取，已商业化部署
</div>
</div>
<div class="proj-t-side">
<span class="proj-t-period">2025.07 — 2026.03</span>
<span class="proj-t-role bd bd-g">Lead Engineer · 主要负责人</span>
<span class="proj-t-arr">▾</span>
</div>
</button>
<div class="proj-collapse" id="p1-col">
<div class="proj-content">
<p class="proj-en">
Built an AI-powered recognition and structured extraction platform for player trading cards on e-commerce platforms,
solving challenges of automated processing, precise retrieval, and structured extraction of unstructured card images at scale.
The system has been commercially deployed.
</p>
<p class="proj-zh">
面向球星卡电商平台，构建端到端图像 AI 识别流程，解决海量非结构化球星卡图像的特征提取、精准检索与卡面信息结构化提取难题。
</p>
<div class="proj-stacks">
<span class="proj-stack">Image Search · 以图搜图</span>
<span class="proj-stack">Multi-modal Feature Fusion · 多模态特征融合</span>
<span class="proj-stack">Milvus</span>
<span class="proj-stack">LightGBM</span>
<span class="proj-stack">Ollama</span>
<span class="proj-stack">Multimodal LLM · 多模态大模型</span>
<span class="proj-stack">ChromaDB</span>
</div>
<div class="contrib-title">Key Contributions · 核心贡献</div>
<div class="contrib-items">
<div class="contrib-row">
<div class="contrib-pip"></div>
<div> Designed core challenge for "similar appearance, fine-grained difference" in card images; implemented
<strong>four-modal fusion征 (InsightFace face recognition + DINOv2 structural features + SLIP texture features + OpenCLIP color features)</strong>,
achieving fusion-weight optimization through experiments. Achieved <strong>Top-5 recall rate of 99.5%</strong> in Milvus for second-level similar neighbor retrieval.
针对球星卡图像"外观相似、细节差异微小"的核心挑战，设计并实现四模态融合特征向量（InsightFace 人脸识别 + DINOv2 结构特征 + SLIP 纹理特征 + OpenCLIP 颜色特征），通过消融实验优化模态权重。
在 Milvus 中实现毫秒级近似最近邻检索，<strong>Top-5 召回率达到 99.5%</strong>。
</div>
</div>
<div class="contrib-row">
<div class="contrib-pip"></div>
<div>Built <strong>two-stage retrieval architecture</strong> for nearly identical card ranking issues: constructed
multi-directional rotation conversion graph distance + Milvus recall + card border HOG gradient histogram + color histogram distance features,
trained LightGBM ranking model; <strong>MRR@10 improved from 80% to 95%</strong>, significantly enhancing fine-grained discrimination.
· 针对同重召回结果中近似卡片排序不准的问题，构建两阶段检索架构：以 4 方向旋转转图的多路 Milvus 召回分数、HOG 梯度方向直方图距离及卡面边框颜色直方图距离为特征，训练 LightGBM 精排模型；
<strong>MRR@10 从向量召回阶段的 80% 提升至 95%</strong>，强化卡片细粒度辨别效果。。
</div>
</div>
<div class="contrib-row">
<div class="contrib-pip"></div>
<div> Based on <strong>Ollama local deployment of Qwen3-vl-8B</strong>, combined with <strong>ChromaDB</strong> to build RAG retrieval-augmented system,
achieving structured extraction of card face, edition number, card ID, publisher and other fields.
<strong>Field accuracy reached 94%+</strong>. System completed commercialization delivery, APP launched.
· 基于 <strong>Ollama 本地部署 Qwen3-vl-8B</strong>，结合 <strong>ChromaDB</strong> 构建 RAG 检索增强体系，实现卡面限量编号、卡号、出版商等字段的结构化提取。
<strong>各字段准确率达 94%+</strong>。系统已完成商业化交付，APP 已上线。。
</div>
</div>
</div>
<div class="proj-imgs">
<div class="proj-img-box">
<img src="pic1.png" class="proj-img" alt="System Architecture" onerror="this.closest('.proj-img-box').style.display='none'">
<span class="proj-img-cap">// system architecture</span>
</div>
<div class="proj-img-box">
<img src="pic2.png" class="proj-img" alt="Recognition Results" onerror="this.closest('.proj-img-box').style.display='none'">
<span class="proj-img-cap">// recognition results</span>
</div>
</div>
</div>
</div>
</div>
<!-- P2 -->
<div class="proj-entry" id="p2">
<button class="proj-trigger" onclick="toggleProj('p2')">
<div class="proj-t-idx">02</div>
<div class="proj-t-main">
<div class="proj-t-title">Campus Smart Sports Cloud Platform · 福师大校园智慧体育云平台</div>
<div class="proj-t-brief">
AI pose estimation + video sequence analysis for standardless automated scoring · 基于 AI 人体姿态识别与视频时序分析搭建智慧体育云平台，解决大规模、八段锦等课程无标注数据体系下的 AI 自动评分与无纸化考核管理
</div>
</div>
<div class="proj-t-side">
<span class="proj-t-period">2024.11 — 2025.08</span>
<span class="proj-t-role bd bd-g">Lead Engineer · 主要负责人</span>
<span class="proj-t-arr">▾</span>
</div>
</button>
<div class="proj-collapse" id="p2-col">
<div class="proj-content">
<p class="proj-en">
Designed and developed an intelligent sports assessment cloud platform for campus physical education.
Leverages AI human pose estimation and big data analytics to automate scoring of Tai Chi, Baduanjin,
and other courses — replacing manual, subjective assessment with objective AI-driven evaluation.
</p>
<p class="proj-zh">
面向校园体育教学与考核场景，依托 AI 人体姿态识别、大数据分析技术搭建智慧体育云平台，实现太极拳、八段锦等课程 AI 自动判分、无纸化考核和数据可视化管理，解决传统体育考核人工评分效率低、标准不统一等痛点。
</p>
<div class="proj-stacks">
<span class="proj-stack">3D Pose Estimation · 3D 人体姿态估计</span>
<span class="proj-stack">DTW Dynamic Time Warping</span>
<span class="proj-stack">Video Processing</span>
<span class="proj-stack">Temporal Feature Analysis</span>
</div>
<div class="contrib-title">Key Contributions · 核心贡献</div>
<div class="contrib-items">
<div class="contrib-row">
<div class="contrib-pip"></div>
<div>Designed and developed an intelligent sports assessment cloud platform for campus physical education scenarios.
Based on <strong>AI pose estimation and video sequence analysis</strong>, built a smart sports cloud platform
to solve challenges of low manual scoring efficiency and inconsistent standards in traditional assessment methods,
achieving standardless automated AI scoring and paperless examination management.
面向高校体育教学考核场景，基于 <strong>AI 人体姿态识别与视频时序分析
</strong>搭建智慧体育云平台，解决大规模、八段锦等课程传统人工评分效率低、标准不统一的痛点，实现无标注数据体系下的 AI 自动评分与无纸化考核管理。
</div>
</div>
<div class="contrib-row">
<div class="contrib-pip"></div>
<div>Constructed a <strong>DTW (Dynamic Time Warping)</strong> model for student action sequence similarity matching against standard references; optimized scoring logic to achieve
<strong>95%+ evaluation accuracy</strong>.
· 构建 DTW 动态时间规整模型，实现动作序列相似度匹配，优化判分逻辑，将评估准确率提升至 95%+。
</div>
</div>
</div>
<div class="proj-imgs">
<div class="proj-img-box">
<img src="pic3.png" class="proj-img" alt="Pose Estimation" onerror="this.closest('.proj-img-box').style.display='none'">
<span class="proj-img-cap">// pose keypoint extraction</span>
</div>
<div class="proj-img-box">
<img src="pic4.png" class="proj-img" alt="Scoring System" onerror="this.closest('.proj-img-box').style.display='none'">
<span class="proj-img-cap">// automated scoring interface</span>
</div>
</div>
</div>
</div>
</div>
<!-- P3 -->
<div class="proj-entry" id="p3">
<button class="proj-trigger" onclick="toggleProj('p3')">
<div class="proj-t-idx">03</div>
<div class="proj-t-main">
<div class="proj-t-title">XinShi AI Psychological Emotion Detection System · 芯室 AI 心理情绪检测智能机</div>
<div class="proj-t-brief">
Real-time 7-class emotion recognition via multimodal feature fusion · 情感识别准确率 93%+
</div>
</div>
<div class="proj-t-side">
<span class="proj-t-period">2024.07 — 2024.10</span>
<span class="proj-t-role bd bd-b">Emotion Computing Engineer · 情感计算工程师</span>
<span class="proj-t-arr">▾</span>
</div>
</button>
<div class="proj-collapse" id="p3-col">
<div class="proj-content">
<p class="proj-en">
Responsible for the emotion recognition and weighted affective computing core module development.
Based on multidimensional feature extraction from video frames and multimodal data fusion,
the system achieves real-time user emotion judgment and quantitative mental health assessment.
</p>
<p class="proj-zh">
负责情感识别与计算加权情感核心模块开发，基于视频帧多维度特征提取与多模态数据融合，实现用户实时情绪判定与心理健康量化评估。
</p>
<div class="proj-stacks">
<span class="proj-stack">Affective Computing</span>
<span class="proj-stack">Facial Expression Recognition</span>
<span class="proj-stack">Multimodal Fusion</span>
<span class="proj-stack">Real-time Inference</span>
</div>
<div class="contrib-title">Key Contributions · 核心贡献</div>
<div class="contrib-items">
<div class="contrib-row">
<div class="contrib-pip"></div>
<div>Implemented real-time recognition of <strong>7 basic emotions</strong> (Surprise · 惊讶, Joy · 欣喜, Calm · 平静, Disgust · 厌恶, Anger · 恼怒, Fear · 恐惧, Sadness · 哀伤) from facial expression features extracted from video frames; achieved <strong>93%+ recognition accuracy</strong>.</div>
</div>
</div>
<div class="proj-imgs">
<div class="proj-img-box">
<img src="pic5.png" class="proj-img" alt="Emotion Detection" onerror="this.closest('.proj-img-box').style.display='none'">
<span class="proj-img-cap">// emotion detection pipeline</span>
</div>
</div>
</div>
</div>
</div>
<!-- P4 -->
<div class="proj-entry" id="p4">
<button class="proj-trigger" onclick="toggleProj('p4')">
<div class="proj-t-idx">04</div>
<div class="proj-t-main">
<div class="proj-t-title">RPA-based Automated Social Media Content Pipeline · 影刀 RPA 自动爬取发布知乎流媒体信息</div>
<div class="proj-t-brief">
End-to-end automation: data scraping → structured storage → AI copywriting → publishing · 全链路自动化内容运营
</div>
</div>
<div class="proj-t-side">
<span class="proj-t-period">2024.10 — 2025.01</span>
<span class="proj-t-role bd bd-n">Core Member · 核心成员</span>
<span class="proj-t-arr">▾</span>
</div>
</button>
<div class="proj-collapse" id="p4-col">
<div class="proj-content">
<p class="proj-en">
Designed a Zhihu social media data collection and publishing automation pipeline based on
Yingdao RPA and vector database tooling. Implements keyword/account/topic-targeted scraping,
structured database storage, AI-generated content writing, and automated publishing.
</p>
<p class="proj-zh">
基于影刀 RPA 与向量库工具，设计知乎流媒体信息自动采集流程，实现对指定关键词、账号、话题的数据抓取、结构化入库与 AI 文案自动生成发布，显著降低人工运营成本。
</p>
<div class="proj-stacks">
<span class="proj-stack">Yingdao RPA · 影刀 RPA</span>
<span class="proj-stack">Vector DB · 向量库</span>