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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" />
<title>USTC-Table-Mining 首页 | USTC-AGI</title>
<meta name="description" content="中国科学技术大学认知智能全国重点实验室 AGI 研究组：表格解析与识别、表格理解与推理、科学表格数据挖掘、办公表格数据智能、Spreadsheet Manipulation 与 TabClaw 等方向介绍。" />
<meta name="theme-color" content="#f4fbf8" />
<meta name="application-name" content="USTC Table Mining" />
<meta name="apple-mobile-web-app-title" content="Table Mining" />
<meta property="og:title" content="USTC-Table-Mining 首页 | USTC-AGI" />
<meta property="og:description" content="Research on table parsing, table reasoning, scientific table mining with temporal structure, and office spreadsheet agents." />
<meta property="og:type" content="website" />
<link rel="icon" href="asset/table_mark.svg" type="image/svg+xml" sizes="any" />
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
html { scroll-behavior: smooth; }
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans SC",
"PingFang SC", "Hiragino Sans GB", sans-serif;
background: #f7f7f5;
color: #1a1a1a;
line-height: 1.8;
font-size: 16px;
text-align: justify;
text-justify: inter-ideograph;
min-height: 100vh;
display: flex;
flex-direction: column;
}
a { color: #0f766e; text-decoration: none; }
a:hover { text-decoration: underline; }
.container {
max-width: 1180px;
margin: 0 auto;
padding: 0 20px;
}
.top-nav {
position: sticky;
top: 0;
z-index: 120;
background: rgba(255, 255, 255, 0.94);
backdrop-filter: blur(12px);
-webkit-backdrop-filter: blur(12px);
border-bottom: 1px solid #e8e8e8;
box-shadow: 0 2px 12px rgba(0, 0, 0, 0.05);
}
.top-nav .container {
display: flex;
align-items: center;
justify-content: space-between;
gap: 18px;
min-height: 64px;
}
.nav-brand {
flex-shrink: 0;
font-size: 0.92rem;
font-weight: 800;
color: #111;
white-space: nowrap;
}
.nav-brand span { color: #0f766e; }
.nav-links {
display: flex;
align-items: center;
justify-content: flex-end;
gap: 8px;
width: 100%;
padding: 10px 0;
}
.nav-links::-webkit-scrollbar { display: none; }
.nav-links a,
.nav-dropdown-toggle {
flex-shrink: 0;
padding: 8px 14px;
border-radius: 999px;
border: 1px solid transparent;
font-size: 0.84rem;
font-weight: 600;
color: #555;
transition: color .18s, background .18s, border-color .18s, transform .18s;
}
.nav-dropdown { position: relative; flex-shrink: 0; }
.nav-dropdown-toggle {
appearance: none;
background: transparent;
cursor: pointer;
font-family: inherit;
line-height: 1.2;
}
.nav-dropdown-toggle::after {
content: "";
display: inline-block;
margin-left: 7px;
vertical-align: middle;
border-left: 4px solid transparent;
border-right: 4px solid transparent;
border-top: 5px solid currentColor;
transition: transform .18s ease;
}
.nav-dropdown.open .nav-dropdown-toggle::after { transform: rotate(180deg); }
.nav-dropdown-menu {
position: absolute;
top: calc(100% + 8px);
left: 0;
min-width: 238px;
padding: 8px;
border-radius: 8px;
border: 1px solid #d9eee9;
background: rgba(255, 255, 255, 0.98);
box-shadow: 0 12px 28px rgba(15, 118, 110, 0.10);
display: none;
gap: 4px;
z-index: 30;
}
.nav-dropdown.open .nav-dropdown-menu { display: grid; }
.nav-dropdown-menu a {
padding: 10px 12px;
border-radius: 8px;
border: 1px solid transparent;
font-size: 0.84rem;
font-weight: 600;
color: #555;
line-height: 1.4;
}
.nav-links a:hover,
.nav-links a:active,
.nav-dropdown-toggle:hover,
.nav-dropdown-toggle:active,
.nav-dropdown.open .nav-dropdown-toggle,
.nav-dropdown-menu a:hover,
.nav-dropdown-menu a:active {
color: #0f766e;
background: #f0fdf9;
border-color: #99e6d8;
text-decoration: none;
transform: translateY(-1px);
}
.nav-active {
color: #0f766e !important;
background: #f0fdf9 !important;
border-color: #99e6d8 !important;
font-weight: 800 !important;
}
header {
position: relative;
overflow: hidden;
isolation: isolate;
background:
linear-gradient(90deg, rgba(15, 118, 110, 0.055) 1px, transparent 1px) 0 0 / 42px 42px,
linear-gradient(180deg, rgba(232, 138, 26, 0.050) 1px, transparent 1px) 0 0 / 42px 42px,
linear-gradient(160deg, #ffffff 40%, #f4fffc 76%, #fff9ef 100%);
border-bottom: 1px solid #e8e8e8;
padding: 66px 0 58px;
text-align: center;
cursor: pointer;
transition: background .2s ease, transform .2s ease, opacity .2s ease;
}
header::before {
content: "";
position: absolute;
inset: 0;
z-index: -1;
background:
linear-gradient(110deg, transparent 0 18%, rgba(16, 16, 16, 0.035) 18% 18.4%, transparent 18.4% 32%),
linear-gradient(110deg, transparent 0 52%, rgba(15, 118, 110, 0.10) 52% 52.4%, transparent 52.4% 100%),
radial-gradient(circle at 78% 24%, rgba(232, 138, 26, 0.12), transparent 24%);
opacity: 0.76;
pointer-events: none;
}
header:hover {
background:
linear-gradient(90deg, rgba(15, 118, 110, 0.065) 1px, transparent 1px) 0 0 / 42px 42px,
linear-gradient(180deg, rgba(232, 138, 26, 0.065) 1px, transparent 1px) 0 0 / 42px 42px,
linear-gradient(160deg, #fdffff 40%, #ecfbf8 76%, #fff6e8 100%);
}
header.is-refreshing { transform: scale(0.995); opacity: 0.82; }
.hero-logo {
display: block;
width: min(430px, 78vw);
height: auto;
margin: 0 auto 22px;
filter: drop-shadow(0 10px 24px rgba(15, 118, 110, 0.12));
}
header .header-motto {
max-width: 920px;
margin: 14px auto 0;
font-size: 1.05rem;
font-weight: 700;
color: #0f766e;
line-height: 1.8;
text-align: center;
text-justify: auto;
}
.hero-track-row {
display: flex;
flex-wrap: wrap;
justify-content: center;
gap: 8px;
margin-top: 22px;
}
.hero-track-row span {
display: inline-flex;
align-items: center;
min-height: 30px;
padding: 5px 11px;
border: 1px solid #c9ebe6;
border-radius: 999px;
background: rgba(255, 255, 255, 0.78);
color: #315a55;
font-size: 0.78rem;
font-weight: 800;
line-height: 1.35;
box-shadow: 0 4px 14px rgba(15, 118, 110, 0.05);
}
.hero-track-row span:nth-child(2n) {
border-color: #f2d3a9;
color: #684514;
box-shadow: 0 4px 14px rgba(232, 138, 26, 0.06);
}
main {
flex: 1;
padding: 40px 0 80px;
}
.section-intro {
text-align: center;
margin-bottom: 40px;
}
.section-intro h2 {
font-size: 1.3rem;
font-weight: 800;
color: #111;
margin-bottom: 10px;
text-align: center;
}
.section-intro p {
max-width: 920px;
margin: 0 auto;
font-size: 0.97rem;
color: #555;
text-align: center;
text-justify: auto;
}
.section-anchor { scroll-margin-top: 92px; }
.project-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 20px;
}
.project-card {
background: #fff;
border: 1px solid #e8e8e8;
border-radius: 8px;
scroll-margin-top: 92px;
padding: 0;
box-shadow: 0 2px 10px rgba(0, 0, 0, 0.04);
transition: transform .22s, box-shadow .22s, border-color .22s, background .22s;
display: flex;
flex-direction: column;
text-decoration: none;
color: inherit;
overflow: hidden;
}
.project-card:hover,
.project-card:active {
transform: translateY(-4px);
box-shadow: 0 14px 36px rgba(15, 118, 110, 0.08);
border-color: #cdeee7;
background: #fcfffe;
text-decoration: none;
}
.project-card-wide { grid-column: span 2; }
.card-accent {
height: 4px;
width: 100%;
flex-shrink: 0;
background: linear-gradient(90deg, #101010, #0f766e, #e88a1a);
}
.accent-amber { background: linear-gradient(90deg, #101010, #e88a1a, #0f766e); }
.accent-dark { background: linear-gradient(90deg, #101010, #3a3a3a, #0f766e); }
.card-body {
padding: 26px 26px 24px;
display: flex;
flex-direction: column;
flex: 1;
}
.project-card h3 {
font-size: 1.25rem;
font-weight: 800;
color: #111;
margin-bottom: 10px;
line-height: 1.3;
text-align: left;
}
.card-desc {
font-size: 0.92rem;
color: #555;
line-height: 1.75;
margin-bottom: 20px;
}
.feature-grid {
display: grid;
grid-template-columns: repeat(4, minmax(0, 1fr));
gap: 12px;
margin-bottom: 22px;
flex: 1;
}
.feature-grid-balanced { grid-template-columns: repeat(2, minmax(0, 1fr)); }
.feature-panel {
min-height: 100%;
padding: 16px;
border-radius: 8px;
border: 1px solid #c2e8e3;
background: linear-gradient(180deg, #fbfefe 0%, #f2fdfb 100%);
}
.feature-panel:nth-child(2n) {
border-color: #f1d6ac;
background: linear-gradient(180deg, #fffefd 0%, #fff8ee 100%);
}
.feature-label {
display: inline-flex;
align-self: flex-start;
padding: 4px 10px;
border-radius: 999px;
border: 1px solid #99e6d8;
background: #e6fbf7;
color: #0f766e;
font-size: 0.72rem;
font-weight: 800;
letter-spacing: 0.04em;
line-height: 1.35;
}
.feature-panel:nth-child(2n) .feature-label {
border-color: #efca8f;
background: #fff1dc;
color: #7a4c08;
}
.feature-body {
display: flex;
align-items: flex-start;
gap: 10px;
margin-top: 12px;
}
.feature-icon {
flex-shrink: 0;
width: 24px;
line-height: 1.2;
text-align: center;
font-size: 1rem;
margin-top: 2px;
}
.feature-desc {
font-size: 0.84rem;
color: #3d6860;
line-height: 1.75;
}
.feature-panel:nth-child(2n) .feature-desc { color: #684514; }
.card-meta {
display: flex;
flex-direction: column;
gap: 10px;
margin-bottom: 22px;
flex: 1;
}
.meta-row {
display: flex;
align-items: flex-start;
gap: 10px;
font-size: 0.84rem;
color: #444;
background: #f9f9f8;
border-radius: 8px;
padding: 8px 12px;
border: 1px solid #f0f0ee;
}
.meta-icon {
width: 22px;
text-align: center;
font-size: 0.96rem;
flex-shrink: 0;
margin-top: 1px;
}
.flow-core {
display: grid;
grid-template-columns: auto minmax(0, 1fr);
gap: 14px;
align-items: flex-start;
margin-bottom: 22px;
padding: 18px 20px;
border-radius: 8px;
border: 1px solid #c2e8e3;
background: linear-gradient(180deg, #fbfefe 0%, #f3fbfa 100%);
}
.flow-core .meta-icon {
width: 30px;
height: 30px;
line-height: 30px;
border-radius: 6px;
background: #e6fbf7;
color: #0f766e;
margin-top: 2px;
}
.flow-core-title {
display: block;
margin-bottom: 8px;
font-size: 0.95rem;
font-weight: 800;
color: #143f3a;
line-height: 1.45;
}
.flow-core-desc {
display: block;
font-size: 0.86rem;
line-height: 1.75;
color: #486460;
}
.card-links {
display: flex;
gap: 8px;
flex-wrap: wrap;
padding-top: 4px;
border-top: 1px solid #f0f0f0;
margin-top: 4px;
}
.card-btn {
display: inline-flex;
align-items: center;
justify-content: center;
gap: 6px;
min-height: 38px;
padding: 8px 16px;
border-radius: 8px;
font-size: 0.84rem;
font-weight: 700;
border: 1.5px solid transparent;
transition: transform .16s, box-shadow .16s, background .16s, border-color .16s, color .16s;
text-decoration: none;
line-height: 1.35;
}
.card-btn:hover,
.card-btn:active {
transform: translateY(-1px);
box-shadow: 0 6px 14px rgba(15, 118, 110, 0.10);
background: #f0fdf9;
border-color: #99e6d8;
color: #0f766e;
text-decoration: none;
}
.btn-primary {
background: #0f766e;
color: #fff;
border-color: #0f766e;
}
.btn-primary:hover,
.btn-primary:active {
background: #f0fdf9;
border-color: #99e6d8;
color: #0f766e;
}
.btn-outline { background: #fff; color: #444; border-color: #d8d8d8; }
.btn-outline:hover,
.btn-outline:active { background: #f0fdf9; border-color: #99e6d8; color: #0f766e; }
.btn-disabled {
opacity: 0.72;
pointer-events: none;
cursor: default;
}
.divider {
margin: 56px 0 40px;
border: none;
border-top: 1px solid #e8e8e8;
}
footer {
background: #1c1c1c;
color: #999;
text-align: center;
padding: 28px 24px;
font-size: 0.84rem;
}
footer p {
text-align: center;
text-justify: auto;
}
footer a { color: #5ecfc6; }
footer .footer-funding {
margin-top: 12px;
font-size: 0.82rem;
color: #888;
line-height: 1.6;
}
@media (max-width: 900px) {
.feature-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); }
}
@media (max-width: 640px) {
.top-nav .container {
align-items: flex-start;
flex-direction: column;
justify-content: center;
gap: 8px;
padding-top: 10px;
padding-bottom: 8px;
}
.nav-brand { white-space: normal; }
.nav-links {
width: 100%;
margin: 0;
justify-content: flex-start;
flex-wrap: wrap;
overflow-x: visible;
padding: 0 0 6px;
}
.nav-links a,
.nav-dropdown-toggle {
padding: 7px 12px;
font-size: 0.81rem;
}
.nav-dropdown-menu {
left: 0;
min-width: 220px;
}
header { padding: 44px 0 42px; }
.hero-logo {
width: min(340px, 86vw);
margin-bottom: 18px;
}
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<button class="nav-dropdown-toggle" type="button" aria-expanded="false">研究方向</button>
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<a href="#table-parsing" role="menuitem">表格解析与识别</a>
<a href="#table-reasoning" role="menuitem">表格理解与推理</a>
<a href="#table-knowledge-discovery" role="menuitem">表格数据中知识发现</a>
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以解析识别为入口，以理解推理为核心，区分科学表格数据与办公表格数据，连接实验发现、时序观测、电子表格操作与可信决策。
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<span>Table Parsing</span>
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<span>TabClaw</span>
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<div class="section-intro section-anchor" id="research-tracks">
<h2>研究方向</h2>
<p>USTC-AGI 研究组在 Table Mining 方向重点关注复杂表格的解析与识别、表格语义理解与多步推理，以及表格数据中的知识发现，并面向科学表格数据与办公表格数据两类场景沉淀可复用能力。</p>
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<div class="project-grid">
<section class="project-card project-card-wide section-anchor" id="table-parsing">
<div class="card-accent"></div>
<div class="card-body">
<h3>表格解析与识别</h3>
<p class="card-desc">
面向论文 PDF、扫描文档、网页和报告中的复杂表格，研究从视觉版面、OCR 文本、单元格结构到逻辑表头的端到端解析与识别，让模型能够把非结构化或半结构化表格恢复为可计算、可追踪、可推理的数据对象。
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<span class="feature-label">版面与表格检测</span>
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<span class="feature-icon">▦</span>
<p class="feature-desc">识别文档中的表格区域、标题、注释、跨页延续和图表邻接关系，建立表格在原始文档中的证据位置。</p>
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</div>
<div class="feature-panel">
<span class="feature-label">结构恢复</span>
<div class="feature-body">
<span class="feature-icon">↔</span>
<p class="feature-desc">恢复行列边界、合并单元格、层级表头、嵌套表格和多级索引，得到可用于计算的规范表结构。</p>
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</div>
<div class="feature-panel">
<span class="feature-label">文本与数值识别</span>
<div class="feature-body">
<span class="feature-icon">✦</span>
<p class="feature-desc">结合 OCR、语言模型和数值校验识别单元格内容，处理单位、上下标、科学计数法和公式表达。</p>
</div>
</div>
<div class="feature-panel">
<span class="feature-label">多模态证据对齐</span>
<div class="feature-body">
<span class="feature-icon">⌁</span>
<p class="feature-desc">将表格与正文、图、公式、实验条件和参考文献对齐，为后续理解与推理保留可验证上下文。</p>
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<span class="card-btn btn-outline btn-disabled">查看主页</span>
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</section>
<section class="project-card project-card-wide section-anchor" id="table-reasoning">
<div class="card-accent accent-amber"></div>
<div class="card-body">
<h3>表格理解与推理</h3>
<p class="card-desc">
表格理解不仅是读取单元格，还需要理解层级表头、单位、实体、约束、上下文和隐含计算关系。该方向研究模型如何围绕表格开展问答、比较、归纳、计算、证据定位和跨表推理。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">▣</span>
<span>表格问答 · 事实核验 · 多步计算 · 单元格证据定位</span>
</div>
<div class="meta-row">
<span class="meta-icon">◈</span>
<span>Schema 理解 · 层级表头推理 · 单位换算 · 条件过滤与聚合</span>
</div>
<div class="meta-row">
<span class="meta-icon">◎</span>
<span>跨表关联 · 图表文本联合推理 · 可解释推理链</span>
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</div>
<div class="card-links">
<a class="card-btn btn-primary" href="#application-systems">查看主页</a>
<span class="card-btn btn-outline btn-disabled">Reasoning Benchmark Coming Soon</span>
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</section>
<section class="project-card project-card-wide section-anchor" id="table-knowledge-discovery">
<div class="card-accent accent-dark"></div>
<div class="card-body">
<h3>表格数据中知识发现</h3>
<p class="card-desc">
面向科学表格、办公表格和多源表格集合，研究如何从表格结构、数值分布、单位约束、跨表关联和时序变化中发现可复用知识，支持规律归纳、候选假设生成、异常线索识别和可验证证据组织。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">⌑</span>
<span>结构与语义归纳 · 实体关系抽取 · 单位和条件约束发现</span>
</div>
<div class="meta-row">
<span class="meta-icon">≋</span>
<span>跨表对齐 · 模式复用 · 候选假设生成 · 反例线索挖掘</span>
</div>
<div class="meta-row">
<span class="meta-icon">↯</span>
<span>数值趋势 · 时序变化 · 异常发现 · 可追踪证据链组织</span>
</div>
</div>
<div class="card-links">
<a class="card-btn btn-primary" href="#application-systems">查看主页</a>
<span class="card-btn btn-outline btn-disabled">Discovery Benchmark Coming Soon</span>
</div>
</div>
</section>
</div>
<hr class="divider" />
<div class="section-intro section-anchor" id="application-systems">
<h2>应用研究</h2>
<p>围绕科学表格数据和办公表格数据两类核心场景，分别沉淀从表格解析、理解推理到智能体操作的端到端能力。</p>
</div>
<div class="project-grid">
<section class="project-card project-card-wide">
<div class="card-accent accent-amber"></div>
<div class="card-body">
<h3>科学表格数据挖掘</h3>
<p class="card-desc">
面向科技文献中的复杂表格数据，整体流程以论文 PDF、实验记录和观测数据为数据基础，先进行自定义表格结构识别与解析，将非结构化或半结构化表格恢复为可计算、可追踪的数据对象，再支撑表格语义理解与推理。
</p>
<div class="flow-core">
<span class="meta-icon">▦</span>
<span>
<span class="flow-core-title">自定义表格结构识别与解析</span>
<span class="flow-core-desc">识别表格区域、行列结构、合并单元格、层级表头、单位和注释，将科技文献中的复杂表格恢复为可计算、可追踪的数据对象。</span>
</span>
</div>
<div class="feature-grid feature-grid-balanced">
<div class="feature-panel">
<span class="feature-label">多维情境跨模态语义理解</span>
<div class="feature-body">
<span class="feature-icon">⌁</span>
<p class="feature-desc">结合表格、正文、图、公式、实验条件和参考文献等上下文，理解科学表格中的实体、单位、条件与证据关系。</p>
</div>
</div>
<div class="feature-panel">
<span class="feature-label">模拟人类思维的复杂表格推理</span>
<div class="feature-body">
<span class="feature-icon">↯</span>
<p class="feature-desc">围绕科学表格开展比较、归纳、计算、多步推理与候选假设分析，支持可验证的科学知识发现。</p>
</div>
</div>
</div>
<div class="card-links">
<span class="card-btn btn-outline btn-disabled">查看主页</span>
</div>
</div>
</section>
<section class="project-card project-card-wide section-anchor" id="spreadsheet-agent">
<div class="card-accent"></div>
<div class="card-body">
<h3>电子表格操作</h3>
<p class="card-desc">
面向 Excel、Google Sheets、CSV 工作簿和企业报表等办公表格数据，研究如何让 AI 基于电子表格承载的结构化知识开展理解、推理、操作和决策，完成用户意图理解、公式生成、数据清洗、图表构造和结果验证。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">⌘</span>
<span>Spreadsheet Manipulation · 公式生成 · 单元格编辑 · 多工作表联动</span>
</div>
<div class="meta-row">
<span class="meta-icon">▧</span>
<span>自动清洗 · 透视表 · 图表生成 · 数据校验 · 报告生成</span>
</div>
<div class="meta-row">
<span class="meta-icon">◇</span>
<span>任务规划 · 工具调用 · 执行反馈 · 人机协同修正</span>
</div>
</div>
<div class="card-links">
<span class="card-btn btn-outline btn-disabled">查看主页</span>
</div>
</div>
</section>
<section class="project-card project-card-wide section-anchor" id="tabclaw">
<div class="card-accent accent-dark"></div>
<div class="card-body">
<h3>TabClaw：表格数据分析智能体</h3>
<p class="card-desc">
TabClaw 是我们研发的本地对话式表格分析 AI Agent。用户上传 CSV 或 Excel 后，可用自然语言描述分析目标；系统展示执行计划，派遣专属 Agent 并行处理多张表，并结合跨会话记忆与技能蒸馏，把复杂表格分析转化为可追踪、可复用的交互流程。
</p>
<div class="card-meta">
<div class="meta-row">
<span class="meta-icon">▤</span>
<span>CSV / Excel 上传 · 自然语言分析 · 无需 SQL 或编程</span>
</div>
<div class="meta-row">
<span class="meta-icon">⌁</span>
<span>执行计划展示 · 多表并行 Agent · 工具调用与结果自检</span>
</div>
<div class="meta-row">
<span class="meta-icon">✦</span>
<span>跨会话记忆 · 偏好沉淀 · 交互过程自动蒸馏为可复用技能</span>
</div>
</div>
<div class="card-links">
<a class="card-btn btn-primary" href="https://github.com/ustc-table-mining/TabClaw" target="_blank" rel="noopener">GitHub</a>
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