Jie Liu

Jie Liu 刘杰

Postdoc Researcher 博士后研究员
AMOR/e Lab, Eindhoven University of Technology (TU/e) 埃因霍温理工大学 (TU/e)
j.liu9 (at) tue.nl
Eindhoven, the Netherlands 荷兰 埃因霍温
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  • Nov 2026I received the Chinese Government Award for Outstanding Self-Financed Students Abroad. Grateful for the support from my motherland! 2026年11月我荣获国家优秀自费留学生奖学金,感谢祖国的支持!
  • Nov 2025I started my postdoc at TU/e, working with Prof. Joaquin Vanschoren on LLMs and MLLMs. 2025年11月我开始在 TU/e 从事博士后研究,与 Joaquin Vanschoren 教授合作研究 LLMs 与 MLLMs。
  • June 2025One paper on vision-language models was accepted in ICCV 2025, see you in Hawaii! 2025年6月一篇关于视觉-语言模型的论文被 ICCV 2025 接收,夏威夷见!
  • June 2025I started my internship at Meshcapade and work with Dr. Yan Zhang on motion generation. 2025年6月我开始在 Meshcapade 实习,与 Yan Zhang 博士合作研究动作生成。
  • May 2025Our work NPISeg3D on Interactive 3D Segmentation was accepted in ICML2025! See you in Vancouver! 2025年5月我们关于交互式 3D 分割的工作 NPISeg3D 被 ICML 2025 接收!温哥华见!
  • Jan 2025CaPo, our first work on Embodied Agents, was accepted in ICLR2025, see you in Singapore. 2025年1月我们在具身智能体方向的首个工作 CaPo 被 ICLR 2025 接收,新加坡见。
  • Sept 2024I am visiting Prof. Pan Zhou in Singapore. 2024年9月我在新加坡访问 Pan Zhou 教授。
  • July 2024We present CPlot for Interactive Segmentation in ECCV2024, see you in Milano. 2024年7月我们在 ECCV 2024 展示交互式分割工作 CPlot,米兰见。
  • June 2024One paper with Wenzhe Yin on Domain Adaptation was accepted in UAI 2024, see you in Barcelona. 2024年6月我与 Wenzhe Yin 合作的域自适应论文被 UAI 2024 接收,巴塞罗那见。
  • Sept 2023We present prototype adaption for Few-shot point cloud segmentation in 3DV2024, see you in Davos. 2023年9月我们在 3DV 2024 展示小样本点云分割的原型自适应方法,达沃斯见。
  • Sept 2022Our work on Few-shot Segmentation with Graph Convolution Network was accepted to BMVC2022. 2022年9月我们关于图卷积的小样本分割工作被 BMVC 2022 接收。
  • June 2022One paper with Haochen Wang on Few-shot Segmentation was accepted to ACM MM 2022. 2022年6月我与 Haochen Wang 合作的小样本分割论文被 ACM MM 2022 接收。
  • March 2022Our work on Few-shot Segmentation with Prototype Convolution was accepted to CVPR 2022. 2022年3月我们关于原型卷积的小样本分割工作被 CVPR 2022 接收。
  • Sept 2021I joined VISLAB as a PhD candidate. 2021年9月我加入 VISLAB 成为博士生。

About Me 关于我

I am a Postdoc Researcher at TU/e AMOR/e Lab, working with Prof. Joaquin Vanschoren on LLMs and MLLMs (funded by project OpenEuroLLM). Previously I was an ELLIS Ph.D. candidate at VISLAB, University of Amsterdam (UvA), supervised by Prof. Efstratios Gavves and Prof. Jan-Jakob Sonke. I did a fantastic internship at Meshcapade, advised by Dr. Yan Zhang, Dr. Yu Sun, and Prof. Michael J. Black. I also worked closely with Prof. Pan Zhou. 我目前是 TU/e AMOR/e Lab 的博士后研究员,与 Joaquin Vanschoren 教授合作研究 LLMs 与 MLLMs(由 OpenEuroLLM 资助)。 此前我在阿姆斯特丹大学(UvA)VISLAB 担任 ELLIS 博士生, 导师为 Efstratios Gavves 教授 和 Jan-Jakob Sonke 教授。 我曾在 Meshcapade 实习,由 Yan Zhang 博士、Yu Sun 博士 和 Michael J. Black 教授 指导。 此外,我与 Pan Zhou 教授有紧密合作。

I serve as a regular reviewer for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, T-PAMI and IJCV. 我长期担任 CVPR、ICCV、ECCV、NeurIPS、ICLR、ICML、T-PAMI 和 IJCV 的审稿人。

Research Interests 研究兴趣

My research aims to develop human-centered AI that augment human capabilities in perception, reasoning, and interaction with the world. To achieve this, I am focusing on the following topics: 我的研究旨在发展以人为中心的 AI,增强人类在感知、推理与交互方面的能力。为此我重点关注以下方向:

• Generalizable Perception: interactive segmentation, 3D scene understanding, multi-modal learning • 可泛化感知:交互式分割、3D 场景理解、多模态学习

• Generative Models: LLMs and MLLMs reasoning, interactive world models, vision-language models • 生成模型:LLMs 与 MLLMs 推理、交互式世界模型、视觉-语言模型

• Embodied Agents: embodied reasoning,human-scene interaction, multi-agent cooperation • 具身智能体:具身推理、人-场景交互、多智能体协作

Hobbies 兴趣爱好

I'm a sports enthusiast with a passion for snowboarding and badminton. I also hold a 2nd-degree black belt in Taekwondo. Whether on the slopes, the court, or in training, I love pushing my limits and shaping my skills. 我热爱运动,尤其喜欢滑雪板和羽毛球,并拥有跆拳道二段黑带。 无论在雪道、球场还是训练中,我都享受挑战自我、打磨技能。

Publications 论文

  • Preprint'26
    Selective Latent Thinking: Adaptive Compression of LLM Reasoning Chains 选择性潜在思考:LLM 推理链的自适应压缩
    Hui Xie*, Jie Liu*, Ziyue Qiao, Joaquin Vanschoren Hui Xie*, Jie Liu*, Ziyue Qiao, Joaquin Vanschoren
    arXiv, 2026 (*equal contribution) arXiv,2026 (*共同一作)
    LLM Reasoning LLM 推理 Latent Reasoning 潜在推理 Selective Thinking 选择性思考
  • Preprint'26
    Open-Vocabulary Functional 3D Human-Scene Interaction Generation 开放词汇的功能性三维人-场景交互生成
    Jie Liu, Yu Sun, Alpár Cseke, Yao Feng, Nicolas Hron, Michael J. Black, Yan Zhang Jie Liu, Yu Sun, Alpár Cseke, Yao Feng, Nicolas Hron, Michael J. Black, Yan Zhang
    arXiv, 2026 — work done as an intern at Meshcapade arXiv,2026 — 在 Meshcapade 实习期间完成
    Embodied Agent 具身智能体 Human-Scene Interaction 人-场景交互 Optimization 优化方法
  • ICCV'25
    Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation 面向广义小样本语义分割的视觉-语言模型概率原型校准
    Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves
    International Conference on Computer Vision (ICCV), 2025 国际计算机视觉大会(ICCV),2025
    Segmentation 分割 Vision-Language Model 视觉语言模型 Probabilistic Model 概率模型
  • ICML'25
    NPISeg3D: Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes NPISeg3D:层级神经过程的概率交互式 3D 分割
    Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
    International Conference on Machine Learning (ICML), 2025 国际机器学习大会(ICML),2025
    Segmentation 分割 3D Perception 3D 感知 Probabilistic Model 概率模型
  • ICLR'25
    CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-agent Cooperation CaPo:高效具身多智能体协作的协同计划优化
    Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees GM Snoek, Jan-Jakob Sonke, Efstratios Gavves Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees GM Snoek, Jan-Jakob Sonke, Efstratios Gavves
    International Conference on Learning Representations (ICLR), 2025 国际学习表征会议(ICLR),2025
    Embodied Agent 具身智能体 LLM Planning LLM 规划 Plan Optimization 计划优化
  • ECCV'24 CPlot
    CPlot: Click Prompt Learning with Optimal Transport for Interactive Segmentation CPlot:面向交互式分割的最优传输点击提示学习
    Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
    European Conference on Computer Vision (ECCV), 2024 欧洲计算机视觉会议(ECCV),2024
    Segmentation 分割 Interactive Perception 交互式感知 Optimal Transport 最优传输
  • CVPR'22 dpcn
    Dynamic Prototype Convolution Network for Few-shot Semantic Segmentation 动态原型卷积网络用于少样本语义分割
    Jie Liu, Yanqi Bao, Guosen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves Jie Liu, Yanqi Bao, Guosen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
    Conference on Computer Vision and Pattern Recognition (CVPR), 2022 计算机视觉与模式识别会议(CVPR),2022
    Segmentation 分割 Few-shot Learning 小样本学习 Prototype Learning 原型学习