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<title>Jiaming Liu (刘家铭)</title>
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<body style="background-color:#FFFFFF">
<ol id="nav">
<li><a href="mailto:jiamingliu@stu.pku.edu.cn" title="Contact">Contact</a></li>
<li><a href="#pub" title="Papers">Papers</a></li>
<li><a href="#news" title="News">News</a></li>
<li><a href="#home" title="Home">Home</a></li>
</ol>
<!-- Home section -->
<a name="home"><br /><br /><br /></a>
<div
style="margin-bottom: 20px; margin-top: 0.2em; border: 1px solid #ddd; background-color: #fff; padding: 1em; height: 500px; ">
<div style="margin: 0px auto; width: 100%;">
<img title="Jiaming Liu (刘家铭)" style="float: right; padding-right: 3em; height: 250px;" src="jiaming2.jpg"
alt="Jiaming Liu" />
<div style="padding-left: 2em; vertical-align: top; height: 100px;"><span
style="line-height: 200%; font-size: 24pt;">Liu Jiaming (刘家铭)</span><br />
<span style="font-size: 16pt;line-height: 34px;"><strong>Bachelor degree (2015-2019) </strong></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.bupt.edu.cn/">北京邮电大学 Beijing University of Posts and Telecommunications</a></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.qmul.ac.uk/">伦敦大学玛丽女王学院Queen Mary University of London</a></span><br />
<span style="font-size: 16pt;line-height: 34px;"><strong>Master graduate (2019-2022) </strong></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.bupt.edu.cn/">北京邮电大学 Beijing University of Posts and Telecommunications</a></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.bupt.edu.cn/">Pattern Recognition and Intelligent Systems Lab (PRIS Lab) </a></span><br />
<span style="font-size: 16pt;line-height: 34px;"><strong>Employee (2022-2023)</strong></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.idea.edu.cn/team/5829.html">OPPO研究院 OPPO Research Institute </a></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.idea.edu.cn/team/5829.html">Supervised by OPPO Chief Scientist - Yandong Guo </a></span><br />
<span style="font-size: 16pt;line-height: 34px;"><strong>P.h.D candidate (2023-Now)</strong></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="https://www.pku.edu.cn/">北京大学 Peking University, School of Computer Science</a></span><br />
<span style="font-size: 12pt;line-height: 34px;"><a href="http://idm.pku.edu.cn/">National Key Laboratory for Multimedia Information Processing</a></span><br />
<span style="font-size: 12pt;line-height: 34px;"><strong>Email: </strong><a href="mailto:">jiamingliu@stu.pku.edu.cn</a></span><br />
<!-- <span style="font-size: 12pt;line-height: 34px;"><strong>Address: </strong><a>J12/ 1 Cleveland St, Darlington, NSW 2008, Australia</a></span><br /> -->
</div>
</div>
</div>
<!-- <div style="clear: both; background-color: #fff; margin-top: 1.5em; padding: .2em; padding-left: .3em;"> -->
<div style="margin-top: 0.2em;">
<div class="section">
<h2>About Me (<a href="https://scholar.google.com/citations?hl=zh-CN&user=cPki5sUAAAAJ">Google Scholar</a>)</h2>
<h3> Supervisor</h3>
<div class="bio">
I am currently a P.h.D student at State Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, China, supervised by Prof. <a href="https://scholar.google.com/citations?user=voqw10cAAAAJ&hl=en">Shanghang Zhang</a> .<br>
<b><font color="Red">
We have several academic visitor and intern positions at HMI Lab (Peking University).
We actively work on Robotics, Multi-Modal Learning, and 3D Vision.
If you like what we do, don't hesitate to contact me.
</font></b>
</div>
<h3>Research Interests</h3>
<div class="bio">
<ul>
My past research mainly focuses on Autonomous Driving, Out Of Distribution, and Neural Video Delivery. My current research direction is Robotic manipulation, Vision-Language-Action model, and Post-training.
</ul>
</div>
<!-- <h3> Internship</h3>
<div class="bio">
From 06/2020 to 05/2021, I was a research intern at Intel Label China, supervised by Ming lu. <br>
From 05/2021 to 08/2021, I was a algorithm engineering intern at Alibaba AI Lab, supervised by Gen Li.<br>
From 08/2021 to 03/2023, I was a research intern at OPPO Research Institute, supervised by <a href="https://scholar.google.com/citations?user=fWDoWsQAAAAJ&hl=en">Yandong Guo</a>.<br>
</div> -->
</div>
</div>
<!-- <div style="clear: both;">
<div class="section">
<a name="interests"></a>
<h2>Research Interests</h2>
<div class="bio">
<ul>
My past research mainly focuses on Autonomous Driving, Out Of Distribution, and Neural Video Delivery. My current research direction is Continual learning, Embodied AI, and 3D vision.
</ul>
</div>
</div>
</div> -->
<!-- News -->
<a name="news"></a>
<div style="clear: both;">
<div class="section">
<h2>News</h2>
<div class="paper">
<ul>
<li> 2025: 人才托举：中国科协“青年人才托举工程博士生专项计划”.</li>
<li> 2025: 国自然项目：青年学生基础研究项目（项目负责人）《机器人长程移动操纵的全身控制大模型方法研究》.</li>
<li> 2025: Two papers were accepted by <b>NeurIPS2025</b> (Vision-Language-Action Model + Mobile manipulation).</li>
<li> 2025: Two papers were accepted by <b>RSS2025</b> (Robotic manipulation dataset + Dexterous hand manipulation).</li>
<li> 2025: Three papers were accepted by <b>CVPR2025</b> (3D Robotic manipulation + Vision-Language-Action Model).</li>
<li> 2025: One papers was accepted by <b>AAAI2025</b> (Multimodal Large Language Models + Autonomous Driving).</li>
<li> 2025: Two papers were accepted by <b>ICLR2025</b> (Multimodal Large Language Models + Math).</li>
<li> 2024: One paper was accepted by <b>Neurips2024</b> (Robotic manipulation + Multimodal Large Language Models).</li>
<li> 2024: Two papers were accepted by <b>ECCV2024</b> (Multimodal Large Language Models + 3D large-scale model).</li>
<!-- <li> 2024: Six papers were accepted by <b>CVPR2024</b> (Continual learning + Multimodal Large Language Models + Robotic Manipulation).</li>
<li> 2024: Four papers were accepted by <b>ICRA2024</b> (BEV 3D detection + 3D Occupancy prediction + Continual learning + Spike camera).</li>
<li> 2024: One paper was accepted by <b>ICLR2024</b> (Parameter efficient fine-tuning + Continual learning).</li> -->
<!-- <li> 2024: Three papers were accepted by <b>AAAI2024</b> (BEV 3D detection + MOE + Continual learning).</li> -->
<!-- <li> 2023: We achieved two champions in the <b>ICCV2023 Challenge - Multitask Learning & Continual Test-time Adaptation</b>.</li>
<li> 2023: We (UniOCC) achieved 3rd place in the <b>CVPR2023 Challenge - Vision-Centric 3D Occupancy Prediction</b>.</li>
<li> 2023: Three papers were accepted by <b>MICCAI2023</b>, <b>ICASSP2023</b>, and <b>NOSSDAV2023</b>.</li>
<li> 2023: Three papers were accepted by <b>CVPR2023</b> (BEV 3D detection + Continual Learning + Quantization).</li> -->
<!-- <li> 2022: Three papers were accepted by <b>ECCV2022</b> (One Oral + Two Posters).</li> -->
<!-- <li> 2021: One paper were accepted by <b>BMVC2021</b> (Patch Sampling Augmentation).</li> -->
<!-- <li> 2021: One paper was accepted by <b>ICCV2021</b> (Neural Video Delivery).</li> -->
<!-- <li> 2019: One paper was accepted by <b>IEEE Access</b> (Satellite Image Semantic segmentation).</li> -->
</ul>
</div>
</div>
</div>
<a name="pub"></a>
<div style="clear: both;">
<div class="section">
<h2 id="confpapers">Publications (First author or Project leader) x 20</h2>
<div class="paper" id="pre_3"><img class="paper" src="papers/images/AC-DiT.png" />
<div>
<p><a><b>AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation</b></a><br />
Sixiang Chen, <u><b>Jiaming Liu (equal contribution + project lead)</b></u>, Siyuan Qian, Han Jiang, Lily Li, Renrui Zhang, Zhuoyang Liu, Chenyang Gu, Chengkai Hou, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang
</p>Advances in Neural Information Processing Systems (<b><font color="DarkRed">Neurips</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2507.01961'>[PDF]</a>
<a href='https://ac-dit.github.io/'>[Web page]</a>
<a href='https://github.com/PKU-HMI-Lab/AC-DiT'>[Code]</a>
</div>
<div class="spanner"></div>
</div>
<!-- pre 2025 -->
<div class="paper" id="pre_2"><img class="paper" src="papers/images/FiS-VLA.png" />
<div>
<p><a><b>Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning</b></a><br />
Hao Chen, <u><b>Jiaming Liu (equal contribution + project lead)</b></u>, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng
</p>Advances in Neural Information Processing Systems (<b><font color="DarkRed">Neurips</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2506.01953'>[PDF]</a>
<a href='https://fast-in-slow.github.io/'>[Web page]</a>
<a href='https://github.com/CHEN-H01/Fast-in-Slow'>[Code]</a>
</div>
<div class="spanner"></div>
</div>
<!-- pre 2025 -->
<div class="paper" id="pre_1"><img class="paper" src="papers/images/HybridVLA.png" />
<div>
<p><a><b>HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model</b></a><br />
<u><b>Jiaming Liu</b></u>, Hao Chen, Pengju An, Zhuoyang Liu, Renrui Zhang, Chenyang Gu, Xiaoqi Li, ..., Pheng-Ann Heng, Shanghang Zhang
</p>Pre-print(<b><font color="DarkRed">Arxiv</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2503.10631'>[PDF]</a>
<a href='https://hybrid-vla.github.io/'>[Web page]</a>
<a href='https://github.com/PKU-HMI-Lab/Hybrid-VLA'>[Code]</a>
</div>
<div class="spanner"></div>
</div>
<!-- RSS 2025 -->
<div class="paper" id="RSS_0"><img class="paper" src="papers/images/robomind.png" />
<div>
<p><a><b>Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation</b></a><br />
Kun Wu, Chengkai Hou, <u><b>Jiaming Liu (equal contribution)</b></u>, Zhengping Che, Xiaozhu Ju, ..., Shanghang Zhang, Jian Tang
</p>Robotics Science and Systems(<b><font color="DarkRed">RSS</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2412.13877'>[PDF]</a>
<a href='https://x-humanoid-robomind.github.io/'>[Web page]</a>
<a href='https://github.com/x-humanoid-robomind/x-humanoid-robomind.github.io'>[Data]</a>
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2025 -->
<div class="paper" id="cvpr25_0"><img class="paper" src="papers/images/lift3D.png" />
<div>
<p><a><b>Lift3d foundation policy: Lifting 2d large-scale pretrained models for robust 3d robotic manipulation</b></a><br />
Yueru Jia, <u><b>Jiaming Liu (equal contribution)</b></u>, Sixiang Chen, Chenyang Gu, Zhilue Wang, Longzan Luo, Lily Lee, Pengwei Wang, Zhongyuan Wang, Renrui Zhang, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2411.18623'>[PDF]</a>
<a href='https://lift3d-web.github.io/'>[Web page]</a>
<a href='https://github.com/PKU-HMI-Lab/LIFT3D'>[Code]</a>
</div>
<div class="spanner"></div>
</div>
<!-- AAAI 2025 -->
<div class="paper" id="aaai25_0"><img class="paper" src="papers/images/lidarllm.png" />
<div>
<p><a><b>Lidar-llm: Exploring the potential of large language models for 3d lidar understanding</b></a><br />
Senqiao Yang, <u><b>Jiaming Liu (equal contribution)</b></u>, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang
</p>Thirty-ninth AAAI Conference on Artificial Intelligence (<b><font color="DarkRed">AAAI</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2312.14074'>[PDF]</a>
<!-- <a href='https://sites.google.com/view/robomamba-web'>[Web page]</a> -->
<a href='https://github.com/Yangsenqiao/LiDAR-LLM'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- Neurips 2024 -->
<div class="paper" id="neurips24_0"><img class="paper" src="papers/images/robomamba.png" />
<div>
<p><a><b>Robomamba: Efficient vision-language-action model for robotic reasoning and manipulation</b></a><br />
<u><b>Jiaming Liu</b></u>, Mengzhen Liu, Zhenyu Wang, Pengju An, Xiaoqi Li, Kaichen Zhou, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang
</p>Advances in Neural Information Processing Systems (<b><font color="DarkRed">Neurips</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://proceedings.neurips.cc/paper_files/paper/2024/file/46a126492ea6fb87410e55a58df2e189-Paper-Conference.pdf'>[PDF]</a>
<a href='https://sites.google.com/view/robomamba-web'>[Web page]</a>
<a href='https://github.com/lmzpai/roboMamba'>[Code(test)]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ECCV 2024 -->
<div class="paper" id="eccv24_0"><img class="paper" src="papers/ECCV2024/any2point.png" />
<div>
<p><a><b>Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding</b></a><br />
Yiwen Tang, <u><b>Jiaming Liu (equal contribution)</b></u>, Dong Wang, Zhigang Wang, Shanghang Zhang, Bin Zhao, Xuelong Li
</p>European Conference on Computer Vision (<b><font color="DarkRed">ECCV</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2404.07989'>[PDF]</a>
<a href='https://github.com/Ivan-Tang-3D/Any2Point'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2024 -->
<div class="paper" id="cvpr24_0"><img class="paper" src="papers/CVPR2024/continual-mae.png" />
<div>
<p><a><b>Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation</b></a><br />
<u><b>Jiaming Liu</b></u>, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2024/papers/Liu_Continual-MAE_Adaptive_Distribution_Masked_Autoencoders_for_Continual_Test-Time_Adaptation_CVPR_2024_paper.pdf'>[PDF]</a>
<a href='https://sites.google.com/view/continual-mae/home'>[Web page]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2024 -->
<div class="paper" id="cvpr24_1"><img class="paper" src="papers/CVPR2024/CDC.png" />
<div>
<p><a><b>Cloud-Device Collaborative Learning for Multimodal Large Language Models</b></a><br />
Guanqun Wang, <u><b>Jiaming Liu (equal contribution)</b></u>, Chenxuan Li, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2024/papers/Wang_Cloud-Device_Collaborative_Learning_for_Multimodal_Large_Language_Models_CVPR_2024_paper.pdf'>[PDF]</a>
<!-- <a href='https://sites.google.com/view/continual-mae/home'>[Web page]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ICRA 2024 -->
<div class="paper" id="ICRA_1"><img class="paper" src="papers/preprint/SPIKE.png" />
<div>
<p><a><b>Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer</b></a><br />
<u><b>Jiaming Liu</b></u>, Qizhe Zhang, Xiaoqi Li Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang
</p> International Conference on Robotics and Automation <b><font color="DarkRed">ICRA</font></b>, 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2208.12527.pdf'>[PDF]</a>
<a href='https://github.com/Theia-4869/BiCross'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ICRA 2024 -->
<div class="paper" id="ICRA_0"><img class="paper" src="papers/ICRA2024/BEVUDA.png" />
<div>
<p><a><b>Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection</b></a><br />
<u><b>Jiaming Liu</b></u>, Rongyu Zhang, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang
</p> International Conference on Robotics and Automation <b><font color="DarkRed">ICRA</font></b>, 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2211.17126.pdf'>[PDF]</a>
<a href='https://github.com/liujiaming1996/BEVUDA'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ICRA 2024 -->
<div class="paper" id="ICRA_3"><img class="paper" src="papers/ICRA2024/RenderOCC.png" />
<div>
<p><a><b>Renderocc: Vision-centric 3d occupancy prediction with 2d rendering supervision</b></a><br />
Mingjie Pan, <u><b>Jiaming Liu (equal contribution)</b></u>, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang
</p> International Conference on Robotics and Automation <b><font color="DarkRed">ICRA</font></b>, 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2309.09502.pdf'>[PDF]</a>
<a href='https://github.com/pmj110119/RenderOcc'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ICRA 2024 -->
<div class="paper" id="ICRA_2"><img class="paper" src="papers/ICRA2024/DAT.png" />
<div>
<p><a><b>Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation</b></a><br />
Jiayi Ni, Senqiao Yang, <u><b>Jiaming Liu (project leader)</b></u>, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang
</p> International Conference on Robotics and Automation <b><font color="DarkRed">ICRA</font></b>, 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2309.13604.pdf'>[PDF]</a>
<!-- <a href='https://github.com/Neural-video-delivery/EMT-Pytorch-ECCV2022'>[Code]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ICLR 2024 -->
<div class="paper" id="ICLR_1"><img class="paper" src="papers/preprint/ViDA.png" />
<div>
<p><a><b>ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation</b></a><br />
<u><b>Jiaming Liu</b></u>, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang
</p> International Conference on Learning Representations <b><font color="DarkRed">ICLR</font></b>, 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2306.04344'>[PDF]</a>
<a href='https://github.com/Yangsenqiao/vida'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- AAAI 2024 -->
<div class="paper" id="AAAI_1"><img class="paper" src="papers/preprint/SVDP.png" />
<div>
<p><a><b>Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction</b></a><br />
Senqiao Yang, Jiarui Wu, <u><b>Jiaming Liu (project leader)</b></u>, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Shanghang Zhang
</p> Thirty-Eighth AAAI Conference on Artificial Intelligence <b><font color="DarkRed">AAAI</font></b>, 2024 <br /><p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2303.09792'>[PDF]</a>
<a href='https://github.com/Anonymous-012/SVDP'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- NOSSDAV2023 -->
<div class="paper" id="NOSSDAV2023_1"><img class="paper" src="papers/NOSSDAV2023/REP.png" />
<div>
<p><a><b>RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery</b></a><br />
Rongyu Zhang, Lixuan Du, <u><b>Jiaming Liu (project leader)</b></u>, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang
</p>Network and Operating System Support for Digital Audio and Video (<b><font color="DarkRed">NOSSDAV</font></b>), CCF B <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://dl.acm.org/doi/abs/10.1145/3592473.3592567'>[PDF]</a>
<!-- <a href='https://opendrivelab.com/AD23Challenge.html#3d_occupancy_prediction'>[Challenge Web]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<div class="paper" id="CVPR2023_3"><img class="paper" src="papers/CVPR2023/BEVSAN.png" />
<div>
<p><a><b>BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks</b></a><br />
Xiaowei Chi, <u><b>Jiaming Liu (equal contribution)</b></u>, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2023 <br /><p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2023/html/Chi_BEV-SAN_Accurate_BEV_3D_Object_Detection_via_Slice_Attention_Networks_CVPR_2023_paper.html'>[PDF]</a>
<!-- <a href='https://github.com/Neural-video-delivery/EMT-Pytorch-ECCV2022'>[Code]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<div class="paper" id="ECCV2022"><img class="paper" src="papers/ECCV2022/ECCV2022_2.png" />
<div>
<p><a><b>Adaptive Patch Exiting for Scalable Single Image Super-Resolution</b></a><br />
Shizun Wang, <u><b>Jiaming Liu (equal contribution)</b></u>, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo
</p>European Conference on Computer Vision (<b><font color="DarkRed">ECCV Oral</font></b>), 2022 <br /><p>
<!-- <b><font color="Green">[Oral]</font></b> <br> -->
<a href='https://arxiv.org/abs/2203.11589'>[PDF]</a>
<a href='https://github.com/littlepure2333/APE'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<div class="paper" id="ECCV2022"><img class="paper" src="papers/ECCV2022/ECCV2022_1.png" />
<div>
<p><a><b>Efficient Meta-Tuning for Content-aware Neural Video Delivery</b></a><br />
Xiaoqi Li, <u><b>Jiaming Liu (equal contribution)</b></u>, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang
</p>European Conference on Computer Vision (<b><font color="DarkRed">ECCV</font></b>), 2022 <br /><p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/abs/2207.09691'>[PDF]</a>
<a href='https://github.com/Neural-video-delivery/EMT-Pytorch-ECCV2022'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- ICCV2021 -->
<div class="paper" id="ICCV2021"><img class="paper" src="papers/ICCV2021/ICCV2021.png" />
<div>
<p><a><b>Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation</b></a><br />
<u><b>Jiaming Liu</b></u>, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu
</p>International Conference on Computer Vision (<b><font color="DarkRed">ICCV</font></b>), 2021 <br /><p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/ICCV2021/papers/Liu_Overfitting_the_Data_Compact_Neural_Video_Delivery_via_Content-Aware_Feature_ICCV_2021_paper.pdf'>[PDF]</a>
<a href='https://github.com/Neural-video-delivery/CaFM-Pytorch-ICCV2021'>[Code]</a>
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- <div class="paper" id="access2019"><img class="paper" src="papers/ACCESS2019/ACCESS2019.PNG" />
<div>
<p><a><b>Towards Accurate High Resolution Satellite Image Semantic Segmentation</b></a><br />
Ming Wu, Chuang Zhang, <u><b>Jiaming Liu (first student)</b></u>, Lichen Zhou, Xiaoqi Li
</p>IEEE ACCESS, 2019 <br /><p>
<b><font color="Green">[Poster]</font></b>
<a href='https://ieeexplore.ieee.org/abstract/document/8700168'>[PDF]</a> -->
<a name="pubs"></a>
<div style="clear: both;">
<div class="section">
<h2 id="confpapers">Publications (Coauthor)</h2>
<!-- RSS 2025 -->
<div class="paper" id="RSS_1"><img class="paper" src="papers/images/cordvip.png" />
<div>
<p><a><b>CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World</b></a><br />
Yankai Fu, Qiuxuan Feng, Ning Chen, Zichen Zhou, Mengzhen Liu, ..., <u><b>Jiaming Liu</b></u>, Hao Dong, Shanghang Zhang
</p>Robotics Science and Systems(<b><font color="DarkRed">RSS</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2502.08449'>[PDF]</a>
<a href='https://aureleopku.github.io/CordViP/'>[Web page]</a>
<a href='https://github.com/xuanxuanzzzii/cordvip'>[Code]</a>
</div>
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</div>
<!-- CVPR 2025 -->
<div class="paper" id="cvpr25_2"><img class="paper" src="papers/images/crayon.png" />
<div>
<p><a><b>Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation</b></a><br />
Xiaoqi Li, Lingyun Xu, Mingxu Zhang, <u><b>Jiaming Liu</b></u>, Yan Shen, Iaroslav Ponomarenko, Jiahui Xu, Liang Heng, Siyuan Huang, Shanghang Zhang, Hao Dong
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openreview.net/pdf?id=Aqfwhna1D7'>[PDF]</a>
<a href='https://sites.google.com/view/crayonrobo'>[Web page]</a>
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2025 -->
<div class="paper" id="cvpr25_1"><img class="paper" src="papers/images/robobrain.png" />
<div>
<p><a><b>RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete</b></a><br />
Yuheng Ji, Huajie Tan, Jiayu Shi, Xiaoshuai Hao, Yuan Zhang, Hengyuan Zhang, Pengwei Wang, Mengdi Zhao, ..., <u><b>Jiaming Liu</b></u>, Zhongyuan Wang, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2502.21257'>[PDF]</a>
<a href='https://superrobobrain.github.io/'>[Web page]</a>
</div>
<div class="spanner"></div>
</div>
<!-- ICLR 2025 -->
<div class="paper" id="iclr25_0"><img class="paper" src="papers/images/mathmllm.png" />
<div>
<p><a><b>Mavis: Mathematical visual instruction tuning with an automatic data engine</b></a><br />
Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Shicheng Li, Yichi Zhang, Chengzhuo Tong, <u><b>Jiaming Liu</b></u>, ..., Shanghang Zhang, Peng Gao, Chunyuan Li, Hongsheng Li
</p> International Conference on Learning Representations <b><font color="DarkRed">ICLR</font></b>, 2025 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2407.08739'>[PDF]</a>
<a href='https://github.com/ZrrSkywalker/MAVIS'>[Code]</a>
</div>
<div class="spanner"></div>
</div>
<!-- ECCV 2024 -->
<div class="paper" id="eccv24_2"><img class="paper" src="papers/ECCV2024/LDA.png" />
<div>
<p><a><b>LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model</b></a><br />
Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, <u><b>Jiaming Liu</b></u>, Shanghang Zhang
</p>European Conference on Computer Vision (<b><font color="DarkRed">ECCV</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2405.02363'>[PDF]</a>
<!-- <a href='https://github.com/Ivan-Tang-3D/Any2Point'>[Code]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2024 -->
<div class="paper" id="cvpr24_2"><img class="paper" src="papers/CVPR2024/manipllm.png" />
<div>
<p><a><b>Manipllm: Embodied multimodal large language model for object-centric robotic manipulation</b></a><br />
Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, <u><b>Jiaming Liu</b></u>, Hao Dong
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2024/papers/Li_ManipLLM_Embodied_Multimodal_Large_Language_Model_for_Object-Centric_Robotic_Manipulation_CVPR_2024_paper.pdf'>[PDF]</a>
<a href='https://sites.google.com/view/manipllm'>[Web page]</a>
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2024 -->
<div class="paper" id="cvpr24_3"><img class="paper" src="papers/CVPR2024/notime.png" />
<div>
<p><a><b>No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation</b></a><br />
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, <u><b>Jiaming Liu</b></u>, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR Spotlight</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2024/papers/Zhu_No_Time_to_Train_Empowering_Non-Parametric_Networks_for_Few-shot_3D_CVPR_2024_paper.pdf'>[PDF]</a>
<!-- <a href='https://sites.google.com/view/manipllm'>[Web page]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2024 -->
<div class="paper" id="cvpr24_4"><img class="paper" src="papers/CVPR2024/freekd.png" />
<div>
<p><a><b>FreeKD: Knowledge Distillation via Semantic Frequency Prompt</b></a><br />
Yuan Zhang, Tao Huang, <u><b>Jiaming Liu</b></u>, Tao Jiang, Kuan Cheng, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2024/papers/Zhang_FreeKD_Knowledge_Distillation_via_Semantic_Frequency_Prompt_CVPR_2024_paper.pdf'>[PDF]</a>
<!-- <a href='https://sites.google.com/view/manipllm'>[Web page]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- CVPR 2024 -->
<div class="paper" id="cvpr24_5"><img class="paper" src="papers/CVPR2024/NTO.png" />
<div>
<p><a><b>NTO3D: Neural Target Object 3D Reconstruction with Segment Anything</b></a><br />
Xiaobao Wei, Renrui Zhang, Jiarui Wu, <u><b>Jiaming Liu</b></u>, Ming Lu, Yandong Guo, Shanghang Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2024 <br /><p></p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://openaccess.thecvf.com/content/CVPR2024/papers/Wei_NTO3D_Neural_Target_Object_3D_Reconstruction_with_Segment_Anything_CVPR_2024_paper.pdf'>[PDF]</a>
<!-- <a href='https://sites.google.com/view/manipllm'>[Web page]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- AAAI 2024 -->
<div class="paper" id="AAAI_2"><img class="paper" src="papers/AAAI2024/deweather-moe.png" />
<div>
<p><a><b>Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation</b></a><br />
Rongyu Zhang, Yulin Luo, <u><b>Jiaming Liu</b></u>, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
</p> Thirty-Eighth AAAI Conference on Artificial Intelligence <b><font color="DarkRed">AAAI</font></b>, 2024 <br /><p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href='https://arxiv.org/pdf/2312.16610.pdf'>[PDF]</a>
<!-- <a href='https://github.com/Neural-video-delivery/EMT-Pytorch-ECCV2022'>[Code]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- AAAI 2024 -->
<div class="paper" id="AAAI_1"><img class="paper" src="papers/AAAI2024/point-detr.png" />
<div>
<p><a><b>Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-Supervised 3D Object Detection</b></a><br />
Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, <u><b>Jiaming Liu</b></u>, Shanghang Zhang, Feng Zhao
</p> Thirty-Eighth AAAI Conference on Artificial Intelligence <b><font color="DarkRed">AAAI</font></b>, 2024 <br /><p>
<!-- <b><font color="Green">[Poster]</font></b> -->
<a href=''>[PDF]</a>
<!-- <a href='https://github.com/Neural-video-delivery/EMT-Pytorch-ECCV2022'>[Code]</a> -->
<!-- <a href='papers/CVPRW2020/CVPR20_EDLCV_Oral_15min.pdf'>[Slides]</a> -->
</div>
<div class="spanner"></div>
</div>
<!-- MICCAI2023 -->
<!-- <div class="paper" id="MICCAI2023_1"><img class="paper" src="papers/MICCAI2023/DIFF.png" />
<div>
<p><a><b>DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images</b></a><br />
Mingjie Pan, Yulu Gan, <u><b>Jiaming Liu</b></u>, Aimin Wang, Shanghang Zhang, Dawei Li
</p>Medical Image Computing and Computer-Assisted Intervention (<b><font color="DarkRed">MICCAI</font></b>), 2023, CCF B <br /><p></p>
<a href='https://arxiv.org/abs/2306.12109'>[PDF]</a>
</div>
<div class="spanner"></div>
</div> -->
<!-- <div class="paper" id="CVPR2023_2"><img class="paper" src="papers/CVPR2023/CABM.png" />
<div>
<p><a><b>CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input</b></a><br />
Senmao Tian, Ming Lu, <u><b>Jiaming Liu</b></u>, Yandong Guo, Yurong Chen, Shunli Zhang
</p>Computer Vision and Pattern Recognition (<b><font color="DarkRed">CVPR</font></b>), 2023 <br /><p>
<a href='https://openaccess.thecvf.com/content/CVPR2023/html/Tian_CABM_Content-Aware_Bit_Mapping_for_Single_Image_Super-Resolution_Network_With_CVPR_2023_paper.html'>[PDF]</a>
</div>
<div class="spanner"></div>
</div> -->
<!-- <div class="paper" id="CVPR2023_1"><img class="paper" src="papers/CVPR2023/Cloud-Device.png" />
<div>