1<!DOCTYPE HTML> 2<html lang="en"> 3 4<head> 5 <meta charset="UTF-8"> 6 <title>Yunfei Xie</title> 7 <meta name="author" content="Yunfei Xie"> 8 <meta name="description" content="Yunfei Xie, CS PhD student at Rice University. Research on robot learning from human video and post-training for foundation models."> 9 <meta name="viewport" content="width=device-width, initial-scale=1"> 10 <link rel="shortcut icon" href="images/rice.png" type="image/x-icon"> 11 <link rel="stylesheet" type="text/css" href="stylesheet.css"> 12</head> 13 14<body> 15 <table class="page" style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"> 16 <tbody> 17 <tr style="padding:0px"> 18 <td style="padding:0px"> 19 <table class="profile" style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"> 20 <tbody> 21 <tr style="padding:0px"> 22 <td style="padding:2.5%;width:60%;vertical-align:middle"> 23 <p class="name" style="text-align: center;"> 24 Yunfei Xie | è°¢äºé£ 25 </p> 26 <p> 27 I'm a CS PhD student in the Department of Computer Science at 28 <a href="https://www.rice.edu/">Rice University</a>, advised by 29 <a href="https://weichen582.github.io/">Prof. Chen Wei</a>. 30 My research focuses on robot learning from human video and post-training for foundation models. 31 </p> 32 <p> 33 I completed my bachelor's degree in the 34 School of Artificial Intelligence and Automation 35 at <a href="https://english.hust.edu.cn/">Huazhong University of Science & Technology</a>. 36 Previously, I was a research intern at <a href="https://research.adobe.com/">Adobe Research</a>, advised by <a href="https://bkveton.com/">Dr. Branislav Kveton</a>, at <a href="https://ucsc-vlaa.github.io/">VLAA, UC Santa Cruz</a>, advised by <a href="https://yuyinzhou.github.io/">Prof. Yuyin Zhou</a> and <a href="https://cihangxie.github.io/">Prof. Cihang Xie</a>, and at <a href="https://ccvl.jhu.edu/">CCVL, Johns Hopkins University</a>, advised by <a href="https://www.cs.jhu.edu/~ayuille/">Prof. Alan Yuille</a>. 37 </p> 38 <p style="font-weight:bold;"> 39 I am open for collaborations in research. 40 </p> 41 <p style="text-align:center"> 42 <a href="mailto:[email protected]">Email</a> / 43 <a href="https://scholar.google.com/citations?user=rD8RC-EAAAAJ&hl=en">Google Scholar</a> / 44 <a href="https://github.com/yunfeixie233">Github</a> / 45 <a href="https://x.com/xiynfi1520580">Twitter</a> / 46 <a href="https://www.linkedin.com/in/yunfei-xie-91558726a/">LinkedIn</a> 47 </p> 48 </td> 49 <td style="padding:2.5%;width:40%;max-width:40%"> 50 <div style="position:relative;display:inline-block;"> 51 <a href="images/me.jpg"><img style="width:100%;max-width:100%;object-fit: cover; border-radius: 50%; height: 270px;" alt="profile photo" src="images/me.jpg" class="hoverZoomLink"></a> 52 <span style="position:absolute;bottom:0;left:50%;transform:translateX(-50%);background:rgba(0,0,0,0.6);color:#fff;font-size:11px;padding:2px 8px;border-radius:10px;opacity:0;transition:opacity 0.3s;pointer-events:none;white-space:nowrap;">Photo credit: my partner Xuan</span> 53 </div> 54 <style>td div:hover > span { opacity: 1 !important; }</style> 55 </td> 56 </tr> 57 </tbody> 58 </table> 59 <h2>News</h2> 60 <ul style="list-style-type: disc; padding-left: 20px; margin-bottom: 20px;"> 61 <li style="margin-bottom: 8px;"><strong>Sep. 2026:</strong> New work on robot learning: <a href="https://arxiv.org/abs/2609.03199">RoboTok</a> and <a href="https://yunfeixie233.github.io/s2/">Sensorimotor Alignment (S²)</a>.</li> 62 <li style="margin-bottom: 8px;"><strong>May 2026:</strong> <a href="https://yunfeixie233.github.io/MEMO/" target="_blank">MEMO</a> is accepted to ICML 2026!</li> 63 <li style="margin-bottom: 8px;"><strong>Apr. 2026:</strong> Excited to start a research internship at <a href="https://research.adobe.com/" target="_blank">Adobe Research</a> this summer!</li> 64 <li style="margin-bottom: 8px;"><strong>Feb. 2026:</strong> <a href="https://yunfeixie233.github.io/ViGaL/" target="_blank">Play to Generalize</a> and <a href="https://jwmao1.github.io/storyiter/" target="_blank">Story-Iter</a> are accepted to ICLR 2026!</li> 65 <li style="margin-bottom: 8px;"><strong>Dec. 2025:</strong> Presented <a href="https://yunfeixie233.github.io/ViGaL/" target="_blank">Play to Generalize</a> at NeurIPS '25 at the <a href="https://luma.com/3wy9hhmm" target="_blank">Open AGI Symposium</a> hosted by <a href="https://www.sentient.xyz/" target="_blank">Sentient</a>.</li> 66 <li style="margin-bottom: 8px;"><strong>Sep. 2025:</strong>
66 Started my Ph.D. journey in Computer Science at <a href="https://www.rice.edu/" target="_blank">Rice University</a>, working with <a href="https://weichen582.github.io/" target="_blank">Prof. Chen Wei</a>!</li> 67 <li style="margin-bottom: 8px;"><strong>Aug. 2025:</strong> Received the <a href="https://lambda.ai/research" target="_blank">Lambda Research Grant</a> ($10,000). Thank you, Lambda!</li> 68 <li style="margin-bottom: 8px;"><strong>Jan. 2025:</strong> <a href="https://yunfeixie233.github.io/MedTrinity-25M/" target="_blank">MedTrinity-25M</a> is accepted to ICLR 2025!</li> 69 <li style="margin-bottom: 8px;"><strong>Jul. 2024:</strong> <a href="https://arxiv.org/abs/2409.01353" target="_blank">From Pixels to Objects</a> is accepted to ECCV 2024!</li> 70 </ul> 71 72 <h2>Selected Publications</h2> 73 <p>For the full publication list, see <a href="https://scholar.google.com/citations?user=rD8RC-EAAAAJ&hl=en">Google Scholar</a>.</p> 74 <table class="publications"> 75 <tbody> 76 <tr> 77 <td class="publication-image"> 78 <a href="https://arxiv.org/abs/2609.03199"><img src="images/robotok.png" alt="RoboTok human manipulation videos and reconstructed hand trajectories" loading="lazy"></a> 79 </td> 80 <td class="publication-details"> 81 <a href="https://arxiv.org/abs/2609.03199"><span class="papertitle">RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning</span></a><br> 82 <span class="publication-authors"><a href="https://howardqian201.github.io/">Howard H. Qian</a>, <a href="https://www.chen-yiting.com/">Yiting Chen</a>, <strong>Yunfei Xie</strong>, <a href="https://charlierkj.github.io/">Kejia Ren</a>, <a href="https://podshara.github.io/">Podshara Chanrungmaneekul</a>, <a href="https://vector-wangel.github.io/">Gaotian Wang</a>, <a href="https://wenbowen123.github.io/">Bowen Wen</a>, <a href="https://weichen582.github.io/">Chen Wei</a>, <a href="https://hangkaiyu.github.io/">Kaiyu Hang</a></span><br> 83 <span class="publication-venue">Preprint (under review), 2026</span><br> 84 <a href="https://arxiv.org/abs/2609.03199">paper</a> / <a href="https://rice-robotpi-lab.github.io/RoboTok/">website</a> 85 <p><strong>TL;DR:</strong> We retrieve manipulation-relevant human demonstrations from 100,000 web video clips using 3D hand-motion trajectories, improving dexterous-hand RL policies in Isaac Gym.</p> 86 </td> 87 </tr> 88 <tr> 89 <td class="publication-image"> 90 <a href="https://yunfeixie233.github.io/s2/"><img src="images/s2.png" alt="Sensorimotor Alignment connects visual observations, demonstrated motion, and policy success" loading="lazy"></a> 91 </td> 92 <td class="publication-details"> 93 <a href="https://yunfeixie233.github.io/s2/"><span class="papertitle">Sensorimotor Alignment: A Training-Free Predictor of Robot Policy Success</span></a><br> 94 <span class="publication-authors"><strong>Yunfei Xie</strong>, <a href="https://howardqian201.github.io/">Howard H. Qian</a>, <a href="https://voidrank.github.io/">Shiyi Lan</a>, <a href="https://hangkaiyu.github.io/">Kaiyu Hang</a>, <a href="https://weichen582.github.io/">Chen Wei</a></span><br> 95 <span class="publication-venue">Preprint (under review), 2026</span><br> 96 <a href="https://yunfeixie233.github.io/s2/">website</a> 97 <p><strong>TL;DR:</strong> We compare model representations with recorded motion trajectories to assess robot-policy and backbone capability using a training-free offline score.</p> 98 </td> 99 </tr> 100 <tr> 101 <td class="publication-image"> 102 <a href="https://yunfeixie233.github.io/ViGaL/"><img src="images/vigal.png" alt="Visual Game Learning method overview" loading="lazy"></a> 103 </td>
104 <td class="publication-details"> 105 <a href="https://yunfeixie233.github.io/ViGaL/"><span class="papertitle">Play to Generalize: Learning to Reason Through Game Play</span></a><br> 106 <span class="publication-authors"><strong>Yunfei Xie</strong>, <a href="https://openreview.net/profile?id=~Yinsong_Ma1">Yinsong Ma</a>, <a href="https://voidrank.github.io/">Shiyi Lan</a>, <a href="https://www.cs.jhu.edu/~ayuille/">Alan Yuille</a>, <a href="https://lambert-x.github.io/">Junfei Xiao</a>, <a href="https://weichen582.github.io/">Chen Wei</a></span><br> 107 <span class="publication-venue">ICLR 2026</span><br> 108 <a href="https://yunfeixie233.github.io/ViGaL/">website</a> / <a href="https://arxiv.org/abs/2506.08011">paper</a> 109 <p><strong>TL;DR:</strong> We show that RL post-training on simple arcade games improves multimodal LLMsâ out-of-domain math and spatial reasoning without worked solutions or diagrams during that post-training stage.</p> 110 </td> 111 </tr> 112 <tr> 113 <td class="publication-image"> 114 <a href="https://arxiv.org/abs/2603.09022"><img src="images/memo.png" alt="MEMO context optimization framework" loading="lazy"></a> 115 </td> 116 <td class="publication-details"> 117 <a href="https://arxiv.org/abs/2603.09022"><span class="papertitle">MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games</span></a><br> 118 <span class="publication-authors"><strong>Yunfei Xie</strong>, <a href="https://www.kevin-ai.com/">Kevin Wang</a>, <a href="https://x.com/bobbycxy">Bobby Cheng</a>, <a href="https://scholar.google.com/citations?user=L5XDYTIAAAAJ&hl=en">Jianzhu Yao</a>, <a href="https://jamessand.github.io/">Zhizhou Sha</a>, <a href="https://www.linkedin.com/in/alex-d/">Alexander Duffy</a>, <a href="https://scholar.google.com/citations?user=34s2YS0AAAAJ&hl=en">Yihan Xi</a>, <a href="https://www.hongyuanmei.com/">Hongyuan Mei</a>, <a href="https://scholar.google.com/citations?user=Up0UYEYAAAAJ&hl=en">Cheston Tan</a>, <a href="https://weichen582.github.io/">Chen Wei</a>, <a href="https://scholar.google.com/citations?user=lPycXNcAAAAJ&hl=en">Pramod Viswanath</a>, <a href="https://scholar.google.com/citations?user=pxFyKAIAAAAJ&hl=en">Zhangyang Wang</a></span><br> 119 <span class="publication-venue">ICML 2026</span><br> 120 <a href="https://arxiv.org/abs/2603.09022">paper</a> / <a href="https://yunfeixie233.github.io/MEMO/">website</a> / <a href="https://github.com/openverse-ai/MEMO">code</a> 121 <p><strong>TL;DR:</strong> Scores in multi-turn, multi-agent LLM games swing widely from run to run. MEMO treats the modelâs context as something to optimize during self-play â a persistent memory bank that distills past games into reusable insights, plus TrueSkill-guided prompt evolution â roughly doubling win rates across five text games while making rankings far more stable.</p> 122 </td> 123 </tr> 124 <tr> 125 <td class="publication-image"> 126 <a href="https://benjamint2048.github.io/mu-grpo-project-page/"><img src="images/mu-grpo.png" alt="Training time comparison for GRPO and µ-GRPO" loading="lazy"></a> 127 </td> 128 <td class="publication-details"> 129 <a href="https://benjamint2048.github.io/mu-grpo-project-page/"><span class="papertitle">How Off-Policy Can GRPO Be? µ-GRPO for Efficient LLM Reinforcement Learning</span></a><br> 130 <span class="publication-authors"><a href="https://github.com/BenjaminT2048">Minghao Tian</a>, <strong>Yunfei Xie</strong>, <a href="https://weichen582.github.io/">Chen Wei</a></span><br> 131 <span class="publication-venue">Preprint (under review), 2026</span><br> 132 <a href="https://benjamint2048.github.io/mu-grpo-project-page/">website</a> / <a href="https://arxiv.org/abs/2605.17570">paper</a> 133 <p><strong>TL;DR:</strong> We reuse stale rollouts in a few large generation and optimization stages, matching standard GRPOâs reasoning performance at lower training cost.</p> 134 </td> 135 </tr> 136 <tr> 137 <td class="publication-image"> 138 <a href="https://yunfeixie233.github.io/MedTrinity-25M/"><img src="images/e209a4d74e8a7183bc6b5987c789aa6.png" alt="MedTrinity-25M multimodal data pipeline" loading="lazy"></a> 139 </td>
140 <td class="publication-details"> 141 <a href="https://yunfeixie233.github.io/MedTrinity-25M/"><span class="papertitle">MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine</span></a><br> 142 <span class="publication-authors"><strong>Yunfei Xie</strong>, <a href="https://github.com/Skylight-Lark">Ce Zhou</a>, <a href="https://github.com/HeartyHaven">Lang Gao</a>, <a href="https://chtholly17.github.io/">Juncheng Wu</a>, <a href="https://xhl-video.github.io/xianhangli/">Xianhang Li</a>, <a href="https://zhouhy.org/">Hong-Yu Zhou</a>, <a href="https://shengliu66.github.io/">Sheng Liu</a>, <a href="https://profiles.stanford.edu/lei-xing">Lei Xing</a>, <a href="https://www.james-zou.com/">James Zou</a>, <a href="https://cihangxie.github.io/">Cihang Xie</a>, <a href="https://yuyinzhou.github.io/">Yuyin Zhou</a></span><br> 143 <span class="publication-venue">ICLR 2025. (400+ GitHub stars)</span><br> 144 <a href="https://yunfeixie233.github.io/MedTrinity-25M/">website</a> / <a href="https://arxiv.org/abs/2408.02900">paper</a> 145 <p><strong>TL;DR:</strong> We build an automated grounding, annotation, and filtering pipeline for multimodal medical pretraining, covering 25 million images across 10 modalities.</p> 146 </td> 147 </tr> 148 <tr> 149 <td class="publication-image"> 150 <a href="https://arxiv.org/abs/2409.01353"><img src="images/xie2024lgformer.png" alt="Hierarchical part and object segmentation" loading="lazy"></a> 151 </td> 152 <td class="publication-details"> 153 <a href="https://arxiv.org/abs/2409.01353"><span class="papertitle">From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation</span></a><br> 154 <span class="publication-authors"><strong>Yunfei Xie</strong>, <a href="https://cihangxie.github.io/">Cihang Xie</a>, <a href="https://www.cs.jhu.edu/~ayuille/">Alan Yuille</a>, <a href="https://meijieru.com/">Jieru Mei</a></span><br> 155 <span class="publication-venue">ECCV 2024</span><br> 156 <a href="https://arxiv.org/abs/2409.01353">paper</a> 157 <p><strong>TL;DR:</strong> We use local and global aggregation in a hierarchical vision transformer to improve part and object segmentation.</p> 158 </td> 159 </tr> 160 <tr> 161 <td class="publication-image"> 162 <a href="https://jwmao1.github.io/storyiter/"><img src="images/story_adapter.png" alt="Story-Iter long-story visualization examples" loading="lazy"></a> 163 </td> 164 <td class="publication-details"> 165 <a href="https://jwmao1.github.io/storyiter/"><span class="papertitle">Story-Iter: A Training-free Iterative Paradigm for Long Story Visualization</span></a><br> 166 <span class="publication-authors"><a href="https://github.com/jwmao1">Jiawei Mao</a>, <a href="https://xk-huang.github.io/">Xiaoke Huang</a>, <strong>Yunfei Xie</strong>, Yuanqi Chang, <a href="https://thefllood.github.io/mudehui.github.io/">Mude Hui</a>, <a href="https://scholar.google.com/citations?user=JHTNigYAAAAJ&hl=en">Bingjie Xu</a>, <a href="https://zheng80.github.io/">Zeyu Zheng</a>, <a href="https://scholar.google.com/citations?user=GgD-B68AAAAJ&hl=en">Zirui Wang</a>, <a href="https://cihangxie.github.io/">Cihang Xie</a>, <a href="https://yuyinzhou.github.io/">Yuyin Zhou</a></span><br> 167 <span class="publication-venue">ICLR 2026. (900+ GitHub stars)</span><br> 168 <a href="https://jwmao1.github.io/storyiter/">website</a> / <a href="https://arxiv.org/abs/2410.06244">paper</a> / <a href="https://github.com/UCSC-VLAA/story-iter">code</a> 169 <p><strong>TL;DR:</strong> We improve consistency in long-story visualization with a training-free method that refines story images using global reference context from the previous iteration.</p> 170 </td> 171 </tr> 172 </tbody> 173 </table> 174
175 <table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"> 176 <tbody> 177 <tr> 178 <td> 179 <h2>Education</h2> 180 </td> 181 </tr> 182 </tbody> 183 </table> 184 185 <table width="100%" align="center" border="0" cellpadding="20"> 186 <tbody> 187 <tr> 188 <td style="padding:20px;width:25%;vertical-align:middle;text-align: right;"> 189 <img src="images/rice.png" style="width: auto; height: 99px;"> 190 </td> 191 <td width="75%" valign="center"> 192 Ph.D. in Computer Science, 193 <a href="https://www.rice.edu/" target="_blank">Rice University</a> 194 <br> 195 Sep. 2025 - Present, Houston, TX<br> 196 Advisor: <a href="https://weichen582.github.io/">Prof. Chen Wei</a> 197 </td> 198 </tr> 199 <tr> 200 <td style="padding:20px;width:25%;vertical-align:middle;text-align: right;"> 201 <img src="images/hust_icon.png" style="width: 65%; height: 99px;"> 202 </td> 203 <td width="75%" valign="center"> 204 B.Eng. in Artificial Intelligence, 205 <a href="https://english.hust.edu.cn/" target="_blank">Huazhong University of Science & Technology</a> 206 <br> 207 Sep. 2021 - Jun. 2025, Wuhan, China 208 </td> 209 </tr> 210 </tbody> 211 </table> 212 213 <table width="100%" align="center" border="0" cellspacing="0" cellpadding="20"> 214 <tbody> 215 <tr> 216 <td> 217 <h2>Experience</h2> 218 </td> 219 </tr> 220 </tbody> 221 </table> 222 223 <table class="experience-table"> 224 <tbody> 225 <tr> 226 <td class="institution-image"><a class="institution-label" href="https://research.adobe.com/">Adobe<br>Research</a></td> 227 <td class="experience-details"><p><strong>May 2026 - Aug. 2026: Research Intern, <a href="https://research.adobe.com/">Adobe Research</a></strong><br> 228 Advisor: <a href="https://bkveton.com/">Dr. Branislav Kveton</a><br> 229 <strong>RL for Flow Matching:</strong> Developed a reinforcement learning algorithm for post-training flow-matching generative models, applied to Adobeâs Firefly foundation model.</p></td> 230 </tr> 231 <tr> 232 <td class="institution-image"> 233 <img src="images/rice.png" alt="Rice University"> 234 </td> 235 <td class="experience-details"><p><strong>Feb. 2025 - Present: Research Assistant, <a href="https://www.rice.edu/">Rice University</a></strong><br> 236 Advisor: <a href="https://weichen582.github.io/">Prof. Chen Wei</a>; robot learning in collaboration with <a href="https://hangkaiyu.github.io/">Prof. Kaiyu Hang</a>âs <a href="https://robotpilab.github.io/">RobotPI Lab</a><br> 237 Focus: Human-video learning and offline robot-model evaluation (RoboTok, S²), RL post-training (Play to Generalize, µ-GRPO), and self-improving agents (MEMO).</p></td> 238 </tr> 239 <tr> 240 <td class="institution-image"> 241 <img src="images/ucsc_icon.png" alt="UC Santa Cruz"> 242 </td> 243 <td class="experience-details"><p><strong>Dec. 2023 - Feb. 2025: Research Intern, <a href="https://ucsc-vlaa.github.io/">VLAA Lab</a>, <a href="https://www.ucsc.edu/">University of California, Santa Cruz</a></strong><br> 244 Advisors: <a href="https://yuyinzhou.github.io/">Prof. Yuyin Zhou</a> and <a href="https://cihangxie.github.io/">Prof. Cihang Xie</a><br> 245 Focus: Multimodal data synthesis and annotation (MedTrinity-25M), and long-story visualization (Story-Iter).</p></td> 246 </tr> 247 <tr> 248 <td class="institution-image"> 249 <img src="images/jhu_icon.png" alt="Johns Hopkins University"> 250 </td> 251 <td class="experience-details"><p><strong>Jul. 2023 - Dec. 2023: Research Intern, <a href="https://ccvl.jhu.edu/">CCVL Lab</a>, <a href="https://www.jhu.edu/">Johns Hopkins University</a></strong><br> 252 Advisor: <a href="https://www.cs.jhu.edu/~ayuille/">Prof. Alan Yuille</a><br> 253 Focus: Hierarchical vision transformers for part and object segmentation (From Pixels to Objects).</p></td> 254 </tr> 255 </tbody> 256 </table> 257 258 <section class="resume-section"> 259 <h2>Honors and Awards</h2> 260 <ul> 261 <li><strong>Aug. 2025:</strong> <a href="https://lambda.ai/research">Lambda Research Grant</a> ($10,000)</li> 262 <li><strong>2022:</strong> Science and Technology Scholarship, Huazhong University of Science and Technology (top 2% in school)</li> 263 </ul> 264 </section> 265 <section class="resume-section"> 266 <h2>Invited Talks</h2> 267 <p><strong>Dec. 2025:</strong> âPlay to Generalize: Learning to Reason Through Game Play,â <a href="https://luma.com/3wy9hhmm">Open AGI Symposium</a>, NeurIPS 2025.</p> 268 </section> 269 <div style="width: 100%; background-color: #ffffff; padding: 20px 0;">
270 <table width="100%" align="center" border="0" cellspacing="0" cellpadding="10"> 271 <tbody> 272 <tr> 273 <td> 274 <h2 style="margin-bottom: 5px;">Reviewer</h2> 275 </td> 276 </tr> 277 </tbody> 278 </table> 279 <table width="100%" align="center" border="0" cellpadding="10"> 280 <tbody> 281 <tr> 282 <td width="75%" valign="center"> 283 <p style="margin-top: 0;"> 284 <strong>2026: ICLR, ICML, CVPR, ECCV</strong><br> 285 <strong>2025: ICCV, ICLR, CVPR, ICML, TMM, NeurIPS, TPAMI</strong><br> 286 <strong>2024: CVPR, ICML, IEEE ISBI</strong> 287 </p> 288 </td> 289 </tr> 290 </tbody> 291 </table> 292
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