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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN">
<html>
<head>
<!-- 支持中文 -->
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<title>Hao Dong - Peking University</title>
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/* hao： table折叠 */
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</head>
<body>
<div id="container">
<div class='section_div'>
<table id="personal_info">
<tr>
<td><img class="photo_of_me" src="images/haodong/haodong10.png" width=180px
style="border: 1px solid black; float:left; margin-right:15px" /></td>
<td>
<div id="DocInfo">
<h1>Hao Dong</h1>
<!-- 董豪 助理教授 博士生导师 北京大学-计算机学院-前沿计算研究中心 <br><br> -->
董豪 北京大学 助理教授 博士生导师 博雅青年学者 智源学者<br><br>
hao.dong@pku.edu.cn<br><br>
<a href="https://scholar.google.com/citations?hl=en&user=xLFL4sMAAAAJ&view_op=list_works&sortby=pubdate">Google Scholar</a> /
<!-- <a href="https://www.researchgate.net/profile/Hao_Dong35">Research Gate</a> </a> /
<a href="https://dblp.uni-trier.de/pers/hd/d/Dong_0003:Hao">DBLP</a> </a> / -->
<!-- Github: -->
<a href="https://github.com/zsdonghao">Github</a> </a>
<!-- / -->
<!-- <a href="https://github.com/hyperplane-lab">Lab</a> </a> -->
<!-- https://orcid.org/0000-0002-7984-9909 -->
<br> <br>
<!-- <li>
<span style="font-weight:bold;">Open positions available (
<a href="recurit/phd.html">Ph.D</a>,
<a href="recurit/postdoc.html">Postdoc</a>,
<a href="recurit/engineer.html">Engineers</a>,
Interns ). Contact me for details.</span>
</li> -->
</div><br>
</td>
</tr>
</table>
<h2>About Me</h2>
<!-- 董豪，北京大学计算机学院前沿计算研究中心，助理教授，博士生导师。研究方向为人工智能、机器人和计算机视觉。 -->
<!-- 董博士于2019年在英国帝国理工学院获博士学位，2012年获得英国帝国理工学院一等硕士学位、2011年获得英国中央兰开夏大学获一等学士学位。 -->
<!-- <br><br> -->
I am a BOYA Assistant Professor at School of Computer Science, Peking University,
where I lead <a href="#lab"> PKU-Agibot Lab</a>.
<!-- I am also affiliated with Beijing Academy of Articial Intelligence (BAAI 北京智源). -->
<!-- and PengCheng Lab (鹏城实验室). -->
My current research focuses on embodied AI, robotics, large models, and computer vision.
<!-- My current research focuses on several exciting areas: robot vision, robotic manipulation, embodied large models, navigation and autonomous decision making. -->
The goal is to find the scaling law to create a cost-effective and autonomous robot system,
<!-- <a href="https://yoshuabengio.org/2023/05/07/ai-scientists-safe-and-useful-ai/">in a strictly safe way</a>, -->
not limited to industrial applications and home assistance scenarios,
aiming to make AI benefits a global scale.
<br><br>
Additionally, I am fortunate to serve as an Area Chair or Senior Program Committee member for CVPR, NeurIPS and AAAI conferences,
and as the Associate Editor of ICRA and Machine Intelligence Research. I received the
<a href="images/award/2023 MIR Oustanding Associate Editor Award-Hao Dong.pdf">MIR Outstanding Associate Editor Award</a>.
Also, I have been involved in open source AI system for a long time, I lead several open source projects, such as
<a href="https://github.com/tensorlayer">TensorLayer</a> <a href="https://github.com/tensorlayer"><img alt="GitHub Stars" style="vertical-align:middle" src="https://img.shields.io/github/stars/tensorlayer?style=social"/></a>
and <a href="https://github.com/openmlsys">OpenMLsys</a> <a href="https://github.com/openmlsys"><img alt="GitHub Stars" style="vertical-align:middle" src="https://img.shields.io/github/stars/openmlsys?style=social"/></a>
, and have won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> at ACM Multimedia, as well as the OpenI Outstanding Project Award twice.
<br>
<details><summary><b><font color="1367a7">more</font></b></summary>
Before joining PKU, I obtained my Ph.D. degree from Imperial College London
under the supervision of <a href="https://www.imperial.ac.uk/people/y.guo">Yike Guo</a>.
<!-- <a href="https://provost.hkust.edu.hk/meet_the_provost.html">Yike Guo</a> -->
<!-- He is a Ph.D. student at the Department of Computing of Imperial College London under the supervision of Prof. Yike Guo and Prof. Paul M. Matthews. -->
<!-- My research involves computer vision with the goal of recreating and interacting the world. -->
<!-- My current research involves deep learning and computer vision with the goal of reducing the data required for learning intelligent systems. -->
<!-- and has publications on ICCV, TIFS, TMI, TNSRE, ACM MM, etc.
He is an active reviewer of SIGGRAPH, TIP, TKDE, Neurocomputing, PLUS ONE, etc. -->
<!-- I am passionate about popularising artificial intelligence technologies and established <a href="https://tensorlayer.readthedocs.io">TensorLayer</a>, a deep learning and reinforcement learning library for scientists and engineers, which won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> at ACM Multimedia 2017. -->
<!-- MSc specialist degree (visual information processing) -->
Prior to my Ph.D., I received a MSc degree with distinction from Imperial,
and a first-class BEng degree from the University of Central Lancashire.
Furthermore, I have founded a startup focused on AI-driven hardware between 2012 and 2015.
</details>
</div>
<hr>
<div class='section_div'>
<h2>News</h2>
<li>[2024/05] <b><font color="red" style="background-color:yellow;" >NEW</font></b> Two papers get accepted to RSS 2024 </li>
<li>[2024/04] One paper gets accepted to Nature Machine Intelligence </li>
<li>[2024/04] Our RGB-based object grasping paper is accepted to RAL 2024 </li>
<li>[2024/02] Three papers get accepted to CVPR 2024 </li>
<li>[2024/01] Five papers get accepted to ICRA 2024 </li>
<li>[2024/01] I received the <a href="images/award/2023 MIR Oustanding Associate Editor Award-Hao Dong.pdf">MIR Outstanding Associate Editor Award</a> </li>
<li>[2024/01] Two papers get accepted to ICLR 2024:
<a href="https://helloqxwang.github.io/SparseDFF/">SparseDFF</a> and <a href="https://arxiv.org/abs/2305.03048">PerSAM</a>
</li>
<li>[2023/12] One paper gets accepted to PAMI and two papers for AAAI 2024
<a href="https://bi-dexhands.ai">Bi-DexHands</a>, <a href="https://arxiv.org/pdf/2305.16318.pdf">MUTR</a> and <a href="https://arxiv.org/pdf/2312.12340.pdf">FractureAssembly</a>
</li>
<li>[2023/09] Five NeurPS 2023 submissions are all accepted:
<a href="https://sites.google.com/view/demand-driven-navigation">Demand-driven Navigation</a>,
<a href="https://sites.google.com/view/genpose">GenPose</a>,
<a href="https://sites.google.com/view/graspgf">GraspGF</a>,
<a href="https://chengkaiacademycity.github.io/EnvAwareAfford/">EnvAwareAfford</a> and
<a href="https://tritiumr.github.io/Where2Explore/">Where2Explore</a></li>
<li>[2023/09] I will serve as an associate editor of ICRA </li>
<details><summary><b><font color="1367a7"> show more </font></b></summary>
<li>[2023/08] One paper gets accepted to SIGGRAPH Asia, and two papers for BMVC </li>
<li>[2023/07] Two papers get accepted to ICCV 2023:
<a href="https://hyperplane-lab.github.io/DeformableAffordance/">DefoAfford</a> and
<a href="https://crtie.github.io/SE-3-part-assembly/">3D Shape Assembly</a>
</li>
<li>[2023/06] I will serve as an AC of CVPR 2024 </li>
<li>[2023/06] I will serve as a SPC of AAAI 2024 </li>
<li>[2023/04] Our <a href="https://sites.google.com/view/sasavan/">visual-audio navigation</a> gets accepted to RAL</li>
<li>[2023/03] I will serve as an AC of NeurIPS 2023 </li>
<li>[2023/02] Three paper get accepted to CVPR 2023</li>
<!-- <li>[2023/02] Our <a href="http://www.tensorlayerx.com/index_en.html?chlang=&langid=2">TensorLayerX</a> won the OpenI Outstanding Open Source Project Award 2022</li> -->
<!-- <li>[2023/01] Three papers get accepted to ICRA, ICLR and AAAI respectively</li> -->
<!-- <li>[2022/12] We won the Dual Object Manipulation Track of MyoChallenge @ NeurIPS 2022</li> -->
<!-- <li>[2022/11] Our metasurface indoor robotic paradigm gets accepted to National Science Review</li> -->
<!-- <li>[2022/10] I will serve as a co-chair of Learning Robot Manipulation Forum @ PRCV 2022</li> -->
<!-- <li>[2022/09] Two papers get accepted to NeurIPS 2022</li> -->
<!-- <li>[2022/09] I will serve as an AC of CVPR 2023 </li> -->
<!-- <li>[2022/07] I will serve as a SPC of AAAI 2023 </li> -->
<!-- <li>[2022/07] Two papers get accepted to ECCV 2022 </li> -->
<!-- <li>[2022/07] I will serve as a co-chair for <a href="https://neurips-hill.github.io">Human in the Loop Learning (HiLL) Workshop</a> @ NeurIPS 2022 </li> -->
<!-- <li>[2022/06] I serve as an associate editor of Machine Intelligence Research </li> -->
<!-- <li>[2022/06] One paper gets accepted to IROS 2022 </li> -->
...
<!-- <li>[2022/05] Our open-source ML system book is released @ <a href="https://openmlsys.github.io">OpenMLsys</a> </li> -->
<!-- <li>[2022/05] I will serve as an organizer of <a href="http://saferl.online/2022">SafeRL Workshop</a> @ <a href="https://www.mfi2022.com">MFI</a> 2022 </li> -->
</details>
<!-- <li>[12/2021] 科技部重大项目牵头人 </li> -->
<!-- <li>[12/2020] Panel discussion at WAVE Summit</li> -->
<!-- <li>[11/2020] 我们的�ￄ1�71ￄ1�77�深度强化学习：基础、研究与应用 》中文书将在2021年夏天出版，敬请关注</li> -->
<!-- <li>[11/2020]「Talk」百庄1�71ￄ1�77 《开源开放平台建设�ￄ1�71ￄ1�77ￄ1�71ￄ1�77 -->
<!-- <li>[08/2020] We won the <a href="paper/2020power_gride_winner_diploma.jpg">CityLearn Challenge 2020</a>, reducing 13% cost of building energy</li> -->
<!-- <li>[08/2020] TensorLayer 3.0.0 will supports multiple backends, such as TensorFlow, MindSpore and more, supporting GPU and Huawei-Ascend. Stay tuned!</li> -->
<!-- <li>[07/2020] Our <a href="https://deepreinforcementlearningbook.org/index.html#mailing-list">DRL book</a> is published! </li> -->
<!-- <li>[07/2020]「Talk」中科院文献情报中心 《信息科学技术的弄1�71ￄ1�77源开放与知识传播〄1�71ￄ1�77 -->
<!-- <li>[06/2020]「Talk」人工智能大伄1�71ￄ1�77 - 弄1�71ￄ1�77发�ￄ1�71ￄ1�77�日 机器之心 WAIC《人工智能与弄1�71ￄ1�77源开放�ￄ1�71ￄ1�77ￄ1�71ￄ1�77 -->
<!-- <li>[06/2020]「Talk」Tsinghua University - From Deep Generation to Creation -->
<!-- <li>[08/2019] I graduated from Imperial and joined PKU. </li> -->
<!-- <li>[06/2019] Release <a href="https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning">RL Model Zoo</a> for teaching and research. </li> -->
<!-- <li>[05/2019] Release <a href="https://github.com/tensorlayer/tensorlayer/releases/tag/2.0.0">TensorLayer 2.0</a> ! A BIG Updated!</li> -->
<!-- <li>[05/2019]「Talk」GAMES 2019, Introduction of Generative Adversarial Networks. </li> -->
<!-- <li>[04/2019]「Talk」Invited talk, <a href="https://mp.weixin.qq.com/s/gXzayHO3Wtz4OJ61saF90A">"Deep Learning & Data Efficiency"</a> by CFCS, Peking University. </li> -->
<!-- <li>[12/2018] TensorLayer will give a demo of "Learning to Dance via Machine Learning" at NeurIPS. Montréal, Dec 4 2018 <a href="https://NeurIPS.cc/Conferences/2018/Schedule?showEvent=12183">(click)</a> </li> -->
<!-- <li>[12/2018]「Talk」TensorLayer give a talk at <a href="https://devfest.gdg.london">Google Developer Groups (GDG) DevFest</a>. London, Dec 1 2018 </li> -->
<!-- <li>[03/2018] Teaching Assistant of "Advanced Machine Learning" @ Imperial College</li> -->
<!-- <li>[02/2018] I gave a talk at <a href="https://github.com/tensorlayer/tensorlayer-chinese/blob/master/docs/LPN_AI_symposium_handbook_poster.pdf">London PhD Network AI Symposium</a> with DeepMind, UCL, and Francis Crick Institute (<a href="https://github.com/tensorlayer/tensorlayer-chinese/blob/master/docs/TensorLayer_London_PhD_Network_20180212.pdf">slides</a>) </li> -->
<!-- <li>[01/2018] Published my 1st <a href="http://www.broadview.com.cn/book/5059">Chinese Deep Learning Book</a> </li> -->
<!-- <li>[12/2017] Interviewed by ClusterOne - “Humans of AI 1�71ￄ1�771ￄ1�71ￄ1�777 series : <a href="https://clusterone.com/blog/hao-dong">TensorLayer and the Chinese Deep Learning Community</a> </li> -->
<!-- <li>[10/2017] We won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> @ACM MM 2017 </a> </li> -->
<!-- <li>[07/2017] TensorLayer is accepted by ACM Multimedia'17. It has quickly gained over 2000+ stars on <a href="https://github.com/zsdonghao/tensorlayer">Github</a>! </li> -->
<!-- <li>[06/2017] New ICCV Paper : <a href="https://arxiv.org/abs/1707.06873">Semantic Image Synthesis via Adversarial Learning</a> </li> -->
<!-- <li>[05/2016] Deputy leader of the machine learning group in <a href="https://www.imperial.ac.uk/data-science">Data Science Institute</a> at Imperial College </li> -->
<!-- <li>[04/2016]「Talk」Invited talk, “Introduction of Artificial Neural Network 1�71ￄ1�771ￄ1�71ￄ1�777 at Imperial College </li> -->
<!-- <li>[09/2016] TensorLayer is released. It has quickly gained over 2000+ stars on <a href="https://github.com/zsdonghao/tensorlayer">Github</a>! </li> -->
</div>
<!-- <ul>
<li>
<span style="font-weight:bold;">Open positions available (
<a href="recurit/phd.html">Ph.D</a>,
<a href="recurit/postdoc.html">Post Doc</a>,
<a href="recurit/engineer.html">Engineers</a>,
Interns ). Contact me for details.</span>
</li>
</ul> -->
<!-- <hr> -->
<!-- <div class='section_div'>
<h2>Postdocs and Students </h2>
<li>PhD: <a href="https://warshallrho.github.io">Ruihai Wu</a>, <a href="https://xxx.github.io">Mingdong Wu</a><br></li>
<li>Postdoc: <a href="https://xxx.github.io">Lin Dong</a><br></li>
</div>
<hr> -->
<div id="lab" class='section_div' id='ResearchGroup'>
<h2>PKU-Agibot Lab</h2>
<!-- We study how to improve the learning ability of artificial intelligence systems. -->
<!-- We are especially interested in <b>vision</b> and <b>robotics</b>, -->
<!-- recreating and interacting the world. -->
<!-- the current topic is generalisable and autonomous robot learning, with the goal to improve the reliability and functionality of AI systems. -->
<!-- the current topic is self-supervised and model-based robot learning, with the goal to improve the learning ability of artificial intelligence systems. -->
<!--include <b>3D vision</b>, <b>generative models</b> and <b>robotics</b>.-->
<!-- We have broader interests in medical data analysis and computer graphics. -->
<!-- <br><br> -->
<!-- We also enjoy developing and maintaining open source projects, e.g., <a href="https://github.com/tensorlayer">TensorLayer</a> and <a href="https://github.com/openmlsys">OpenMLsys</a>, -->
<!-- a deep learning and reinforcement learning library for scientists and engineers, which -->
<!-- and won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> at ACM Multimedia 2017. -->
<!-- We are now developing <b>new projects</b> for AI, please contact us for the detail. -->
<!-- <br><br> -->
<!-- Our lab, affiliated with the <a href="http://cfcs.pku.edu.cn">CFCS</a> and the <a -->
<!-- href="https://cs.pku.edu.cn/English/Home.htm">School of CS</a> at PKU, -->
Our lab welcomes research interns, masters, PhD candidates and postdocs. The current research interests include: </i> <br>
<!-- Our lab's name, 'Lab', reflects our commitment to exploring diverse and evolving frontiers in AI and robotics, allowing our research to adapt and grow as the field evolves. -->
<li>grasping and manipulation<br>
<li>task planning<br>
<li>navigation<br>
<li>safety and interpretability in robotics<br>
<!-- <br> -->
<!-- <br> -->
<!-- I also have the leading of the Embodied AI center at the Beijing Academy of Artificial Intelligence (<a href="https://baai.ac.cn/english.html">BAAI</a> 北京智源), where we are also actively seeking for research scientists, engineers, and interns. -->
<!-- Additionally, I am also honored to be a member of PengCheng Lab (<a href="https://pcl.ac.cn">PCL</a> 鹏城实验室), where I contribute to a variety of exciting open-source projects. -->
For more information, please contact Hao Dong at <i>hao.dong (a) pku.edu.cn</i>
<br>
<!-- <details><summary><b><font color="1367a7"> lab members</font></b></summary>
<table class='personnel'>
<tr>
<td rowspan="2" width=350px>
<b>PhD Students</b><br>
<a href="http://warshallrho.github.io/">Ruihai Wu</a> <font size="2" color='grey'> <I>2020</I></font> <br>
<a href="https://aaronanima.github.io/">Mingdong Wu </a> <font size="2" color='grey'> <I>2021</I></font> <br>
<a href="https://tianhaowuhz.github.io">Tianhao Wu</a> <font size="2" color='grey'> <I>2021</I></font> <br>
<a href="https://sxy7147.github.io">Yan Shen</a> <font size="2" color='grey'> <I>2022</I></font> <br>
<a href="https://whcpumpkin.github.io">Hongcheng Wang</a> <font size="2" color='grey'> <I>2022</I></font> <br>
<a href="https://jiyao06.github.io">Jiyao Zhang </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://clorislili.github.io/clorisLi">Xiaoqi Li </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Yang Tian </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://lyx0501.github.io">Yuxing Long </a> <font size="2" color='grey'> <I>2024</I></font> <br>
<a href="https://yuanfei-wang.github.io">Yuanfei Wang </a> <font size="2" color='grey'> <I>2024</I></font> <br>
</td>
<td width=320px>
<b>MSc Students</b><br>
<a href="https://">Yunchong Gan </a> <font size="2" color='grey'> <I>2021</I></font> <br>
<a href="https://">Taewhan Kim </a> <font size="2" color='grey'> <I>2022</I></font> <br>
<a href="https://">Zichen Zhang </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Fei Hu </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Hisham Barakat </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Yaroslav Ponomarenko </a> <font size="2" color='grey'> <I>2023</I></font> <br>
</td>
</tr>
</table> -->
<!-- <tr>
<td>
<b>Affiliates and Collaborators</b><br>
<a href="http://people.csail.mit.edu/jahanian/">Ali Jahanian</a>, <a href="https://people.eecs.berkeley.edu/~shelhamer/">Evan Shelhamer</a>,
<a href="https://www.alexandonian.com/">Alex Andonian</a>, Kexin Yi, <a href="https://people.csail.mit.edu/xavierpuig/">Xavier Puig</a>,
<a href="http://www.mit.edu/~lishuang/">Shuang Li</a>, <a href="https://people.csail.mit.edu/davidbau/home/">David Bau</a>,
<a href="https://ps.is.mpg.de/person/jwulff">Jonas Wulff</a>, <a href="http://people.csail.mit.edu/ganchuang/">Chuang Gan</a>,
<a href="http://www.sabrina-osmany.com/about">Sabrina Osmany</a>
</td>
<td>
<b>Former Members and Visitors</b><br>
<a href="http://kvfrans.com/">Kevin Frans</a> (UROP 2018-2020), <a href="https://yilundu.github.io/">Yilun Du</a> (UROP 2019), Zhongxia Yan (Rotation 2019)
</td>
</tr> -->
<!-- <table class='personnel'>
<td>
<b>Former Interns</b><br>
Guanqi Zhan <font size="2" color='grey'> <I>BS@PKU -> PhD@Oxford</I></font>
Mingxin Yu <font size="2" color='grey'> <I>BS@PKU -> PhD@MIT</I></font>
Junning Shao <font size="2" color='grey'> <I>BS@PKU -> PhD@THU</I></font>
Zihan Ding <font size="2" color='grey'> <I>MSc@Imperial -> PhD@Princeton</I></font> <br>
Jiahao Huang <font size="2" color='grey'> <I>BS@BIT -> PhD@Imperial</I></font>
Jialei Huang <font size="2" color='grey'> <I>BS@PKU -> PhD@THU</I></font>
Haoqi Yuan <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Andrew Zhao <font size="2" color='grey'> <I>BS@UBC -> PhD@THU</I></font> <br>
Yihao Zhao <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Bingchan Zhao <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Lan Lyu <font size="2" color='grey'> <I>BS@PKU -> MSc@CMU</I></font>
Minghang Zheng <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font> <br>
Zizheng Guo <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Jie Ren <font size="2" color='grey'> <I>BS@XDU -> PhD@Edin.</I></font>
Yian Wang <font size="2" color='grey'> <I>BS@PKU -> PhD@UMass</I></font>
Kejian Shi <font size="2" color='grey'> <I>MSc@Imperial -> PhD@CUHK</I></font> <br>
Lin Dong <font size="2" color='grey'> <I>PostDoc@PKU -> Associate Prof in AI@CUPES</I></font>
<br> <font color="#ff0000">招收校内外实习生 (gap year, 研究生等)，对博后、RA和外地访问学生提供充足补贴</font>
</td>
</table> -->
<!-- </details> -->
</div>
<hr>
<!--
<div class='section_div'>
<h2>News</h2>
<p>▻ New blog post on our work on <a href="https://blog.openai.com/evolved-policy-gradients/">Evolved Policy Gradients</a>.<br>
▻ I am co-organizing a <a href="https://sites.google.com/view/cvpr2018tutorialongans/">tutorial on GANs at CVPR 2018</a>.</p>
<p>I recently co-organised the <a href="http://vui.eecs.berkeley.edu/">2nd Workshop on Visual Understanding for Interaction</a> at CVPR 2017. Talk slides coming soon!</p>
</div>
<hr>
-->
<div class='section_div'>
<h2>Courses</h2>
<li><a href="courses/index_foundamentals_of_AI.html">Foundamentals of AI</a> (Spring Term 2023 - )<br>
<li><a href="courses/index_introduction_to_computing_A.html">Introduction to Computing (A)</a> (Fall Term 2022 - )<br></li>
</li>
<details><summary><b><font color="1367a7"> previous courses</font></b></summary>
<li><a href="https://deep-generative-models.github.io">Deep Generative Models</a> (Spring Term 2020 - 2022)<br>
<li><a href="courses/index_introduction_to_computing_B.html">Introduction to Computing (B)</a> (Fall Term 2020 - 2021)<br></li>
<li><a href="http://elective.pku.edu.cn/elective2008/edu/pku/stu/elective/controller/courseDetail/getCourseDetail.do?kclx=BK&course_seq_no=BZ1920104833460_15539">Study and Practice on Topics of Frontier Computing (I)</a> (Autumn Term 2019)<br></li>
<li><a href="courses/deep-learning/2019_introduction_deep_learning.html">Introduction to Deep Learning (Turing Class)</a> (Summer Term 2019)<br></li>
</details>
</div>
<hr>
<!-- <div class='section_div'>
<h2>Team</h2>
<li><a href="https://warshallrho.github.io">Ruihai Wu</a> Ph.D. 2020~Now<br></li>
<li><a href="https://github.com/zjduan">Zhijian Duan</a> Ph.D. 2020~Now<br></li>
</div>
<hr> -->
<!-- <div class='section_div'>
<h2>Team</h2>
<a href="https://warshallrho.github.io">Ruihai Wu</a> (Ph.D 2019)<br>
<a href="https://warshallrho.github.io">Jiabin Liu</a> (Post Doc 2019)<br>
</div>
<hr> -->
<div class='section_div'>
<h2>Services</h2>
<li> Area Chair: NeurIPS (2023), CVPR (2023, 2024) </li>
<li> Senior Program Committee: AAAI (2023, 2024) </li>
<li> Associate Editor: ICRA, Machine Intelligence Research </li>
<!-- <li class="service1">Open-Source Organisation: <a href="https://github.com/tensorlayer">TensorLayer</a> and <a href="https://github.com/openmlsys">OpenMLsys</a> communities</li> -->
<!-- <li class="service2">Journal Organisation
<ul>
<li> Associate Editor of Machine Intelligence Research
</ul>
</li> -->
<!-- <details><summary><b><font color="1367a7"> show more</font></b></summary> -->
<!-- <li> Conference & Workshop Organisation
<ul>
<li> Co-chair of Learning Robot Manipulation Forum @ PRCV 2022
<li> Co-chair of <a href="https://neurips-hill.github.io">Human in the Loop Learning (HiLL) Workshop</a> @ NeurIPS 2022
<li> Organiser of <a href="http://saferl.online/2022">International Workshop on Safe Reinforcement Learning Theory and its Applications</a> @ IEEE International Conference on Multisensor Fusion and Integration (MFI) 2022
<li> Co-chair of <a href="https://bda4s.github.io"> International Workshop on Big Data Analytics for Sustainability</a> @ IEEE International Conference Big Data 2022
<li> Technical Program Committee of <a href="http://www.ieee-cybermatics.org/2022/dependsys/index.html"> IEEE DependSys 2022</a>
</ul>
</li> -->
<!-- <li >Organizer of the 1st International Workshop on Safe Reinforcement Learning Theory and its Applications at IEEE International Conference on Multi-sensor Fusion and Integration (MFI) 2022</li> -->
<!-- <li>Co-chair of the 2nd International Workshop on Big Data Analytics for Sustainability at IEEE International Conference Big Data 2022</li> -->
<!-- <li> Peer-reviewed Journals and Conferences
<ul>
<li> Associate Editor, ICRA (24) </li>
<li> Area Chair, NeurIPS (23) </li>
<li> Area Chair, CVPR (23, 24) </li>
<li> Senior Program Committee, AAAI (23, 24) </li>
<li> Reviewer, ICLR (23) </li>
<li> Reviewer, NeurIPS Dataset and Benchmark (22) </li>
<li> Reviewer, NeurIPS (21,22) </li>
<li> Reviewer, CoRL (20,21,22) </li>
<li> Reviewer, IROS (20,21,22) </li>
<li> Reviewer, CVPR (21,22) </li>
<li> Program Committee, AAAI (22) </li>
<li> Reviewer, ICRA (22) </li>
<li> Reviewer, ICCV (21) </li>
<li> Reviewer, SIGGRAPH Asia (20) </li>
<li> Reviewer, MICCAI (20) </li>
<li> Reviewer, China CAD&CG (20) </li>
<li> Reviewer, EuroGRAPHICS (20) </li>
<li> Reviewer, PAMI (19) </li>
<li> Reviewer, SIGGRAPH (19) </li>
<li> Reviewer, TIP (18) </li>
<li> Reviewer, TKDE (18) </li>
<li> Reviewer, PLUS ONE (18) </li>
<li> Reviewer, Neurocomputing (17) </li>
</ul>
</li> -->
<!-- </ul> -->
<!-- </details> -->
<!-- <li>Program Commitee of IEEE CBMS</li> -->
<!-- <a class="btn btn_one" onclick="servicesShow()">[ <span> <b>show more</b></span> ]</a> -->
</div>
<hr>
<div class='section_div'>
<!--
<h2>Publications</h2>
For all publications please check my <a href="https://scholar.google.co.uk/citations?hl=en&user=xLFL4sMAAAAJ">Google Scholar</a> and
<a href="https://www.researchgate.net/profile/Hao_Dong35">Research Gate</a> </a>.
<br><br> -->
<table class="pub_table">
<!--
<tr><td class="sub_heading">Selected Papers<hr></td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/abs/1707.06873"><img class="teaser_img" src='images/paper/2017iccv_sisgan.png'/></a></div></td>
<td class="pub_td2"><b>SisGAN: Semantic Image Synthesis via Adversarial Learning</b> <br> <i> ---Image Manipulation with Natural Language</i> <br>Hao Dong, Simiao Yu, Chao Wu, Yike Guo<br><i>International Conference on Computer Vision (ICCV) 2017</i><br>[<a href="https://arxiv.org/abs/1707.06873">Paper</a>]
</td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="http://github.com/tensorlayer/tensorlayer/"><img class="teaser_img" src='images/paper/2017acmmm_tensorlayer.png'/></a></div></td>
<td class="pub_td2"><b>TensorLayer: A Versatile Library for Efficient Deep Learning Development</b><br>Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo<br><i>ACM Multimedia (MM) 2017 (Winner of the Best Open Source Software Award)</i><br>[<a href="https://arxiv.org/abs/1707.08551">Paper</a>] [<a href="http://github.com/tensorlayer/tensorlayer/">Code</a>] [<a href="http://github.com/tensorlayer">Organisation</a>] [<a href="http://tensorlayer.readthedocs.io">Documentation</a>]
</td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/abs/1610.06421"><img class="teaser_img" src='images/paper/2017tnsre_mnn.png'/></a></div></td>
<td class="pub_td2"><b>Mixed Neural Network Approach for Temporal Sleep Stage Classification</b><br>Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M Matthews, Yike Guo<br><i>IEEE Trans. on Neural Systems and Rehabilitation Eng. (TNSRE) 2017</i><br>[<a href="https://arxiv.org/abs/1610.06421">Paper</a>]
</td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/abs/1711.07520"><img class="teaser_img" src='images/paper/2017tifs_drop.png'/></a></div></td>
<td class="pub_td2"><b>Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security</b><br>Hao Dong, Chao Wu, Wei Zhen, Yike Guo<br><i>IEEE Trans. on Inform. Forensics and Security (TIFS) 2018</i><br>[<a href="https://arxiv.org/abs/1711.07520">Paper</a>]
</td></tr> -->
<tr>
<td class="sub_heading">Books
<hr>
</td>
</tr>
<tr>
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://deepreinforcementlearningbook.org"><img class="teaser_img"
src='images/paper/2020drl_book_cover_v3-min.png' /></a></div>
</td>
<td class="pub_td2"><b>Deep Reinforcement Learning: Fundamentals, Research and Applications</b>
<br>Hao Dong, Zihan Ding, Shanghang Zhang <i>Eds.</i> <br><i>Springer Nature 2020 ISBN 978-981-15-4094-3</i>
<!--, 1st ed.</i>-->
<details><summary><b><font color="1367a7">Chinese version</font></b></summary>
<!-- <p> - 测试 测试测试</p>
<pre><code> title，value，callBack可以缺省 </code> </pre> -->
<b>深度强化学习：基础、研究与应用</b> 董豪、丁子涵、仉尚航 等著（简体中文译本 Simplified Chinese）<br> <i>电子工业出版社 2021 ISBN
978-7-121-41188-5</i>
<br><b>新一代AI霸主 - 深度強化學習</b> 董豪、丁子涵、仉尚航 等著（繁體中文譯本 Traditional Chinese）<br> <i>深智數位 2022 ISBN
978-986-0776-82-9</i>
</details>
[<a href="https://deepreinforcementlearningbook.org">Free Open Source Book</a>] [<a
href="https://link.springer.com/book/10.1007%2F978-981-15-4095-0#editorsandaffiliations">Springer</a>]
[<a href="http://www.broadview.com.cn/book/6544">Broadview</a>] [<a
href="https://deepmind.com.tw">繁体版本</a>] [<a
href="https://search.jd.com/Search?keyword=深度强化学习%20董豪&enc=utf-8&suggest=1.def.0.base&wq=深度强化学习：基&pvid=3481b24e95ae4b86ba80128820fd563c">京东</a>]
</td>
</tr>
<tr>
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://openmlsys.github.io"><img class="teaser_img"
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<td class="pub_td2"><b>Machine Learning System: Design and Implementation</b><br>Luo Mai, Hao
Dong <i>Eds.</i> <i>Springer Nature 2023 coming soon</i> <br>
<details><summary><b><font color="1367a7">Chinese version</font></b></summary>
<b>机器学习系统：设计与实现 </b> 麦络、董豪 <i>等著</i> <br>
<i>清华大学出版社 Tsinghua University Press 2023 ISBN 978-7-302-63007-4</i>
</details>
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[<a href="https://github.com/openmlsys">OpenMLsys Github</a>]
[<a href="https://openmlsys.github.io/html-en/">English Open Source Book (coming soon)</a>]
[<a href="https://openmlsys.github.io">Chinese Open Source Book</a>]
[<a href="https://search.jd.com/Search?keyword=机器学习系统：设计与实现&enc=utf-8&wq=机器学习系统：设计与实现&pvid=526e181cdf58456d842f3580fff9f1d5">京东</a>]
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src='images/paper/2018phei_tensorlayer_book3-min.png' /></a></div>
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<td class="pub_td2"><b> 深度学习：一起玩转TensorLayer（Deep Learning using TensorLayer）</b><br>Hao Dong, Yike Guo,
Guang Yang et al<br><i>电子工业出版社 Publishing House of Electronics Industry 2018 ISBN:
9787121326226</i><br>[<a
href="https://www.amazon.com/深度学习-丄1�71ￄ1�771ￄ1�71ￄ1�777起玩转TensorLayer-董豪-筄1�71ￄ1�771ￄ1�71ￄ1�777/dp/B078YDZTCY/ref=sr_1_2?keywords=tensorlayer&qid=1570048255&s=gateway&sr=8-2">Amazon</a>]
[<a
href="https://search.jd.com/Search?keyword=tensorlayer&enc=utf-8&wq=tensorl&pvid=555e73b10c134c339afddc63c7ecdd8a">京东</a>]
[<a href="http://www.broadview.com.cn/book/5059">Broadview</a>] [<a
href="https://github.com/tensorlayer/chinese-book">Code</a>]
[<a href="http://github.com/tensorlayer">Organisation</a>] [<a
href="http://tensorlayer.readthedocs.io">Documentation</a>]
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<div class="teaser_img_div"><a href="https://link.springer.com/chapter/10.1007/978-3-319-50478-0_8"><img
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<td class="pub_td2"><b>Chapter: Survey on Feature Extraction and Applications of Biosignals</b><br>Akara
Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo<br><i>Machine Learning for Health Informatics, Springer,
Page 161-182 2016</i><br>[<a
href="https://link.springer.com/chapter/10.1007/978-3-319-50478-0_8">Springer</a>]
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<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/pdf/20xx.xxx.pdf"><img class="teaser_img" src='images/paper/2021pmoe-min.png'/></a></div></td>
<td class="pub_td2"><b>Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning</b><br>Jie Ren*, Yewen Li*, Zihan Ding, Wei Pan, Hao Dong<br><i>arXiv 20xx.xxx</i><br>[<a href="https://arxiv.org/pdf/20xxxx.pdf">Paper</a>]
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<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2404.03634.pdf"><img class="teaser_img"
src='images/paper/2024PreAfford-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments</b>
<br>Kairui Ding, Boyuan Chen, Ruihai Wu, Yuyang Li, Zongzheng Zhang, Huan-ang Gao, Siqi Li, Yixin Zhu, Guyue Zhou, Hao Dong, Hao Zhao<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2404.03634.pdf">Paper</a>]
[<a href="https://air-discover.github.io/PreAfford/">Website</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://unidexfpm.github.io/unidexfpm.pdf"><img class="teaser_img"
src='images/paper/2024UniDexFPM-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation via Diffusion Policy</b>
<br>Tianhao Wu, YunChong Gan, Mingdong Wu, Jingbo Cheng, Yaodong Yang, Yixin Zhu, Hao Dong<br>
<i>arXiv 2024</i><br>
[<a href="https://unidexfpm.github.io/unidexfpm.pdf">Paper</a>]
[<a href="https://unidexfpm.github.io">Website</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2403.11289.pdf"><img class="teaser_img"
src='images/paper/2024ManipVQA-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models</b>
<br>Siyuan Huang, Iaroslav Ponomarenko, Zhengkai Jiang, Xiaoqi Li, Xiaobin Hu, Peng Gao, Hongsheng Li, Hao Dong<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2403.11289.pdf">Paper</a>]
<!-- [<a href="https://unidexfpm.github.io">Website</a>] -->
[<a href="https://github.com/SiyuanHuang95/ManipVQA">Code</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2403.02604.pdf"><img class="teaser_img"
src='images/paper/2024UniDoorManip-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>UniDoorManip: Learning Universal Door Manipulation Policy over Large-scale and Diverse Door Manipulation Environments</b>
<br>Yu Li*, Xiaojie Zhang*, Ruihai Wu*, Zilong Zhang, Yiran Geng, Hao Dong, Zhaofeng He<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2403.02604.pdf">Paper</a>]
[<a href="https://unidoormanip.github.io">Website</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="xxx"><img class="teaser_img"
src='images/paper/2024RSSclutter-min.png' /></a></div>
</td>
<td class="pub_td2"><b>Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters</b>
<br>Yitong Li, Ruihai Wu, Haoran Lu, Chuanruo Ning, Yan Shen, Guanqi Zhan, Hao Dong<br>
<i>Robotics: Science and Systems (RSS) 2024</i><br>
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="xxx"><img class="teaser_img"
src='images/paper/2024RSS-MPI-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>MPI: Learning Manipulation by Predicting Interaction</b>
<br>Jia Zeng, Qingwen Bu, Bangjun Wang, Wenke Xia, Li Chen, Hao Dong, Haoming Song, Dong Wang, Di Hu, Ping Luo, Heming Cui, Bin Zhao, Xuelong Li, Yu Qiao, Hongyang Li<br>
<i>Robotics: Science and Systems (RSS) 2024</i><br>
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2312.11562.pdf"><img class="teaser_img"
src='images/paper/2023SurveyReasoning-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>A Survey of Reasoning with Foundation Models</b>
<br>Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li<br>
<i>arXiv 2023</i><br>
[<a href="https://arxiv.org/pdf/2312.11562.pdf">Paper</a>]
[<a href="https://github.com/reasoning-survey/Awesome-Reasoning-Foundation-Models">Github</a>]
<a href="https://github.com/reasoning-survey/Awesome-Reasoning-Foundation-Models"><img alt="GitHub Stars" style="vertical-align:middle" src="https://img.shields.io/github/stars/reasoning-survey/Awesome-Reasoning-Foundation-Models?style=social"/></a>
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2312.01474.pdf"><img class="teaser_img"
src='images/paper/2023lvdiffusion-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Distilling Functional Rearrangement Priors from Large Models</b>
<br>Yiming Zeng*, Mingdong Wu*, Long Yang, Jiyao Zhang, Hao Ding, Hui Cheng, Hao Dong<br>
<i>arXiv 2023</i><br>
[<a href="https://arxiv.org/pdf/2312.01474.pdf">Paper</a>]
[<a href="https://sites.google.com/view/lvdiffusion">Website</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://xx"><img class="teaser_img"
src='images/paper/2024ICMR-Pattern4Ego-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Pattern4Ego: Learning Egocentric Video Representation Using Cross-Video Activity Patterns</b>
<br>Ruihai Wu, Yourong Zhang, Yu Qi, Andy Guanhong Chen, Hao Dong<br>
<i>International Conference on Multimedia Retrieval (ICMR) 2024</i><br>
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2312.16217.pdf"><img class="teaser_img"
src='images/paper/2024CVPR-ManipLLM-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation</b>
<br>Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, Jiaming Liu, Hao Dong<br>
<i>Conference on Computer Vision and Pattern Recognition (CVPR) 2024</i><br>
[<a href="https://arxiv.org/pdf/2312.16217.pdf">Paper</a>]
[<a href="https://sites.google.com/view/manipllm">Website</a>]
[<a href="https://mp.weixin.qq.com/s/YTvN6VDmP9aSxvI5M3YVCg">量子位</a>]
[<a href="https://mp.weixin.qq.com/s/FkTsKEeSREG9qy0iwrbzdA">强化学习技术前沿</a>]
[<a href="https://mp.weixin.qq.com/s/iX4K5TcCKttlq1vdl9MCtg">集智书童</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/abs/2405.06903"><img class="teaser_img"
src='images/paper/2024CVPR-GarmentManip-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence</b>
<br>Ruihai Wu, Haoran Lu, Yiyan Wang, Yubo Wang, Hao Dong<br>
<i>Conference on Computer Vision and Pattern Recognition (CVPR) 2024</i><br>
[<a href="https://arxiv.org/abs/2405.06903">Paper</a>]
[<a href="https://warshallrho.github.io/unigarmentmanip">Website</a>]
[<a href="https://github.com/luhr2003/UniGarmentManip">Code</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2404.04050.pdf"><img class="teaser_img"
src='images/paper/2024CVPR-lessinmore-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation</b>
<br>Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao<br>
<i>Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (Highlight)</i><br>
[<a href="https://arxiv.org/pdf/2404.04050.pdf">Paper</a>]
[<a href="https://github.com/yangyangyang127/TFS3D">Code</a>]
[<a href="https://mp.weixin.qq.com/s/dXOv2WTsHxYgoMMpFoxbzg">公众号</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/abs/2310.09069"><img class="teaser_img"
src='images/paper/2024imagemanip-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection</b>
<br>Xiaoqi Li, Yanzi Wang, Yan Shen, Haoran Lu, Qianxu Wang, Ponomarenko Iaroslav, Boshi An, Jiaming Liu, Hao Dong<br>
<i>arXiv 2023</i><br>
[<a href="https://arxiv.org/abs/2310.09069">Paper</a>]
[<a href="https://sites.google.com/view/imagemanip">Website</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/abs/2310.03478"><img class="teaser_img"
src='images/paper/2024ICRA-rgbmanip-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation</b>
<br>Boshi An, Yiran Geng, Kai Chen, Xiaoqi Li, Qi Dou, Hao Dong<br>
<i>International Conference on Robotics and Automation (ICRA) 2024</i><br>
[<a href="https://arxiv.org/abs/2310.03478">Paper</a>]
[<a href="http://rgbmanip.github.io">Website</a>]
[<a href="https://github.com/hyperplane-lab/RGBManip">Code</a>]
[<a href="https://mp.weixin.qq.com/s/JIvXFT7oZkmHIygbbNPmRA">北大</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2402.18699.pdf"><img class="teaser_img"
src='images/paper/2024ICRA-coarse2fine-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise</b>
<br>Suhan Ling, Yian Wang, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong<br>
<i>International Conference on Robotics and Automation (ICRA) 2024</i><br>
[<a href="https://arxiv.org/pdf/2402.18699.pdf">Paper</a>]
[<a href="https://sites.google.com/view/coarse-to-fine/">Website</a>]
</td>
</tr>
<!-- <tr class="paper1"> -->
<!-- <td class="pub_td1"> -->
<!-- <div class="teaser_img_div"><a href="https://arxiv.org/pdf/xxxx.pdf"><img class="teaser_img" -->
<!-- src='images/paper/2024coarse2fine-min.jpg' /></a></div> -->
<!-- </td> -->
<!-- <td class="pub_td2"><b>Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise</b> -->
<!-- <br>Suhan Ling, Yian Wang, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong<br> -->
<!-- <i>arXiv 2023</i><br> -->
<!-- [<a href="https://arxiv.org/pdf/xxxxx.pdf">Paper</a>] -->
<!-- </td> -->
<!-- </tr> -->