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    <title>Chengyang Li</title>
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                    <p class="name">
                      Chengyang Li (李承阳)
                    </p>
                    <p>
                      I am a first-year jointly supervised Ph.D. student at
                      <a href="https://www.sjtu.edu.cn/" style="color: orange;">SJTU</a> and 
                      <a href="https://www.eitech.edu.cn/" style="color: orange;">EIT</a>, 
                      where I am advised by
                      Prof. <a href="https://wentao.live/about.html" style="color: orange;">Wentao Zhu</a>.
                      Previously, I interned at <a href="https://www.galbot.com/" style="color: orange;">Galbot</a>, 
                      under the guidance of Prof. <a href="https://ericyi.github.io/" style="color: orange;">Li Yi</a>.
                      I received my bachelor's degree from 
                      <a href="https://www.shanghaitech.edu.cn/" style="color: orange;">ShanghaiTech University</a>, 
                      where I was fortunate to work closely with 
                      Prof. <a href="http://xu-lan.com/" style="color: orange;">Lan Xu</a>, 
                      Prof. <a href="https://jiayuan-gu.github.io/" style="color: orange;">Jiayuan Gu</a>, 
                      and Prof. <a href="https://www.yu-jingyi.com/" style="color: orange;">Jingyi Yu</a>.
                      My research interests lie in Physical RSI.
                    </p>
                    <p class="profile-links">
                      <a href="mailto:lichy2026@sjtu.edu.cn" style="color: orange;">Email</a> &nbsp;/&nbsp;
                      <a href="data/resume.pdf" style="color: orange;">CV</a> &nbsp;/&nbsp;
                      <a href="https://scholar.google.com/citations?hl=zh-CN&amp;user=shdnxr8AAAAJ&amp;view_op=list_works&amp;gmla=AKCpqFzERrH2egGAVxTn24RGFyRohmRCyCp3B_Z0UJAUu2TTHfak5yyWT-1-buvL1iNN-lh9-IZPxWq3ZURSZZKJOOr7vv1etAn6UbEbrSZkEGk2N2FL2KgP7IEffrTO6QC3fofSp5_Z4Y2pNsvyWxjX9pIvZKj6gP98_ZG3GmY0" style="color: orange;">Google Scholar</a> &nbsp;/&nbsp;
                      <a href="https://github.com/lichy2004" style="color: orange;">Github</a>
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                    <h2 >Research</h2>
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            <p class="contribution-note">
              * Equal contribution. † Corresponding author.
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                      <img width="220" height="178" src="images/research/thea.png" alt="Thea embodied agent harness preview">
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                    <a href="https://eit-hai.github.io/thea/">
                      <span class="papertitle research-title" style="color: orange;"><strong>Thea</strong>: Towards the Harness of Embodied Agents</span>
                    </a>
                    <br>
                    <a class="author-link" data-author="qi-wang">Qi Wang</a>*,
                    <a class="author-link" data-author="tianyi-wang">Tianyi Wang</a>*,
                    <strong><a class="author-link" data-author="chengyang-li">Chengyang Li</a>*</strong>,
                    <a class="author-link" data-author="shikun-ban">Shikun Ban</a>,
                    <a class="author-link" data-author="yurun-chen">Yurun Chen</a>,
                    <a class="author-link" data-author="yizhong-ge">Yizhong Ge</a>,
                    <a class="author-link" data-author="jason-qin">Jason Qin</a>,
                    <a class="author-link" data-author="chengtai-li">Chengtai Li</a><sup class="corresponding-mark">†</sup>,
                    <a class="author-link" data-author="wentao-zhu">Wentao Zhu</a><sup class="corresponding-mark">†</sup>
                    <br>
                    <em>Technical Report, 2026</em>
                    <br>
                    <a href="https://eit-hai.github.io/thea/paper.pdf" style="color: orange;">Paper</a>/
                    <a href="https://github.com/EIT-HAI/Thea" style="color: orange;">Code</a>/
                    <a href="https://eit-hai.github.io/thea/" style="color: orange;">Project</a>/
                    <a href="https://youtu.be/Sm9jFmfnOF0" style="color: orange;">Video</a>
                    <p>
                      We present Thea, a harness that adapts the core components of coding agents to the physical world, where an agentic loop orchestrates robot capabilities wrapped as callable tools.
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                      <img width="220" height="112" src="images/research/gazevla.png" alt="GazeVLA framework preview">
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                    <a href="https://gazevla.github.io/">
                      <span class="papertitle research-title" style="color: orange;"><strong>GazeVLA</strong>: Learning Human Intention for Robotic Manipulation</span>
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                    <br>
                    <strong><a class="author-link" data-author="chengyang-li">Chengyang Li</a>*</strong>,
                    <a class="author-link" data-author="kaiyi-xiong">Kaiyi Xiong</a>*,
                    <a class="author-link" data-author="yuan-xu">Yuan Xu</a>,
                    <a class="author-link" data-author="lei-qian">Lei Qian</a>,
                    <a class="author-link" data-author="yizhou-wang">Yizhou Wang</a>,
                    <a class="author-link" data-author="wentao-zhu">Wentao Zhu</a><sup class="corresponding-mark">†</sup>
                    <br>
                    <em><strong>CoRL 2026</strong></em>
                    <span class="spotlight-badge">★ Spotlight</span>
                    <br>
                    <a href="https://arxiv.org/abs/2604.22615" style="color: orange;">Paper</a>/
                    <a href="https://github.com/lichy2004/GazeVLA" style="color: orange;">Code</a>/
                    <a href="https://gazevla.github.io/" style="color: orange;">Project</a>/
                    <a href="https://youtu.be/a1-jS9uWwAI" style="color: orange;">Video</a>/
                    <a href="https://github.com/lichy2004/GazeVLA-Data" style="color: orange;">Data</a>
                    <p>
                      We propose a novel learning-from-human framework that explicitly models intention to capture the causal structure of manipulation behavior.
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                      <img width="220" height="113" src="images/research/semantic-anchoring.png" alt="Semantic Anchoring method preview">
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                    <a href="https://xy02-05.github.io/SemanticMN/">
                      <span class="papertitle research-title" style="color: orange;"><strong>SemanticMN</strong>: Semantic Anchoring for Robotic Action Representations</span>
                    </a>
                    <br>
                    <a class="author-link" data-author="yuan-xu">Yuan Xu</a>*,
                    <a class="author-link" data-author="youheng-shi">Youheng Shi</a>*,
                    <strong><a class="author-link" data-author="chengyang-li">Chengyang Li</a></strong>,
                    <a class="author-link" data-author="wentao-zhu">Wentao Zhu</a>,
                    <a class="author-link" data-author="yizhou-wang">Yizhou Wang</a><sup class="corresponding-mark">†</sup>
                    <br>
                    <em><strong>CoRL 2026</strong></em>
                    <span class="spotlight-badge">★ Spotlight</span>
                    <br>
                    <a href="https://arxiv.org/abs/2607.13597" style="color: orange;">Paper</a>/
                    <a href="https://github.com/xy02-05/SemanticMN" style="color: orange;">Code</a>/
                    <a href="https://xy02-05.github.io/SemanticMN/" style="color: orange;">Project</a>/
                    <a href="https://www.youtube.com/watch?v=oIIPenJ80wg" style="color: orange;">Video</a>
                    <p>
                      We anchor robotic action representations to a semantic manifold, improving task performance and generalization without changing the deployed model.
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                    <a href="https://young2647.github.io/SMGDiff/">
                      <span class="papertitle research-title" style="color: orange;"><strong>SMGDiff</strong>: Soccer Motion Generation using diffusion probabilistic models</span>
                    </a>
                    <br>
                    <a class="author-link" data-author="hongdi-yang">Hongdi Yang</a>*,
                    <strong><a class="author-link" data-author="chengyang-li">Chengyang Li</a>*</strong>,
                    <a class="author-link" data-author="zhenxuan-wu">Zhenxuan Wu</a>,
                    <a class="author-link" data-author="gaozheng-li">Gaozheng Li</a>,
                    <a class="author-link" data-author="jingya-wang">Jingya Wang</a>,
                    <a class="author-link" data-author="jingyi-yu">Jingyi Yu</a>,
                    <a class="author-link" data-author="zhuo-su">Zhuo Su</a>,
                    <a class="author-link" data-author="lan-xu">Lan Xu</a><sup class="corresponding-mark">†</sup>
                    <br>
                    <em><strong>ICCV 2025</strong></em>
                    <br>
                    <a href="https://arxiv.org/abs/2411.16216" style="color: orange;">Paper</a>/
                    <a href="https://young2647.github.io/SMGDiff/" style="color: orange;">Project</a>/
                    <a href="https://young2647.github.io/SMGDiff/" style="color: orange;">Code</a>/
                    <a href="https://young2647.github.io/SMGDiff/" style="color: orange;">Bibtex</a>
                    <p>
                      We introduce SMGDiff, a novel two-stage framework for generating real-time and user-controllable soccer motions.
                    </p>
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                    <h2 >Experience</h2>
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                      <img width="100" height="36" src="images/experience/mirros.svg" alt="MirroS logo">
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                    <a href="https://mirros.ai/"><span class="papertitle" style="color: orange;">MirroS</span></a>
                    <p>2026.09 - Present</p>
                    <p>Research Intern</p>
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                      <img width="100" height="100" src="images/experience/sjtu.png" alt="Shanghai Jiao Tong University logo">
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                    <a href="https://www.sjtu.edu.cn/"><span class="papertitle" style="color: orange;">Shanghai Jiao Tong University</span></a>
                    <p>2026.09 - Present</p>
                    <p>Ph.D. Student</p>
                    <p>Research Advisor: Prof. <a data-author="wentao-zhu" style="color: orange;">Wentao Zhu</a></p>
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                      <img width="100" height="57" src="images/experience/eit.png" alt="Eastern Institute of Technology, Ningbo logo">
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                    <a href="https://www.eitech.edu.cn/"><span class="papertitle" style="color: orange;">Eastern Institute of Technology, Ningbo</span></a>
                    <p>2026.09 - Present</p>
                    <p>Jointly Supervised Ph.D. Student</p>
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                      <img width="100" height="100" src="images/experience/shanghaitech.png" alt="ShanghaiTech University logo">
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                    <a href="https://www.shanghaitech.edu.cn/"><span class="papertitle" style="color: orange;">ShanghaiTech University</span></a>
                    <p>2022.09 - 2026.06</p>
                    <p>Undergraduate Student, GPA ranking 6/162</p>
                    <p>Research Advisors: Prof. <a href="https://www.xu-lan.com/" style="color: orange;">Lan Xu</a> and Prof. <a data-author="jingyi-yu" style="color: orange;">Jingyi Yu</a></p>
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                      <img width="100" height="100" src="images/experience/galbot.png" alt="Galbot logo">
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                    <a href="https://www.galbot.com/"><span class="papertitle" style="color: orange;">Galbot</span></a>
                    <p>2024.12 - 2025.06</p>
                    <p>Research Intern</p>
                    <p>Research Advisor: Prof. <a href="https://ericyi.github.io/" style="color: orange;">Li Yi</a></p>
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                      This homepage is designed based on <a href="https://jonbarron.info/" style="color: orange;">Jon Barron</a>'s website. Last updated: 2026.09
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