CV

Education, research highlights, selected publications, awards, and skills.

Contact Information

Name Yurun Chen
Professional Title PhD Student in Computer Science · Human-Centered Embodied Intelligence
Email yurun.chen@outlook.com

Professional Summary

Researcher in human-centered embodied intelligence, humanoid self-representation, reliable embodied-agent systems, humanoid motion and manipulation, and 3D vision, with broader interests in generative 3D rigging and interpretable scientific machine learning.

Education

  • 2025 - present

    China

    PhD, Joint Doctoral Program
    Shanghai Jiao Tong University & Eastern Institute of Technology, Ningbo
    Computer Science and Technology
    • Human-centered embodied intelligence, humanoid self-representation, reliable embodied-agent systems, 3D vision, and humanoid motion and manipulation.
  • 2022 - 2025

    China

    Master of Science
    Tsinghua University
    Data Science and Information Technology
    • Research in 3D vision, geometry processing, and machine learning.
  • 2018 - 2022

    China

    Bachelor of Engineering
    Dalian University of Technology
    Software Engineering

Projects

  • 2026
    Humanoid Bodily Self-Representation

    Learning self-other distinction and predictive 3D body models directly from proprioceptive-visual experience.

    • Developed a self-supervised framework that identifies the robot body without identity labels or a predefined kinematic model.
    • Bootstrapped a 3D occupancy self-model for target reaching, collision-aware motion planning, and human-to-robot motion retargeting.
  • 2026
    Thea Embodied-Agent Harness & Unitree G1

    Closed-loop tool use for long-horizon robot tasks in real environments.

    • Led the deployment, integration, and debugging of Unitree G1 locomotion, grasping, and pick-and-place capabilities.
    • Contributed to a harness that unifies language models, robot policies, and physical tools with dynamic task composition and failure recovery.
    • Contributed to persistent scene-graph state and independent evaluators that classify actions as successful, failed, or in progress.
  • 2026
    Interpretable Scientific Machine Learning with KAN

    Physics-guided learning of explicit formulas for large-scale soil-moisture retrieval.

    • Combined a radiative transfer model with a Kolmogorov-Arnold Network to replace black-box prediction with inspectable symbolic relationships.
    • Achieved a Pearson correlation of 0.98 on non-forest in-situ data while improving interpretability and generalization over an MLP.
  • 2024–2025
    Generative 3D Rigging and Shape Correspondence

    Learning controllable structures for generated 3D assets.

    • Co-authored ARMO, DRiVE, and SRIF on autoregressive skeleton generation, diffusion-based character rigging, and semantic shape registration.

Awards

  • 2019, 2021
    National Scholarship (twice)
    Ministry of Education of China

    Awarded within the top 4%.

  • 2020
    CSSC Scholarship
    Dalian University of Technology

    University-level high-value scholarship, top 0.5%.

  • 2020
    First Prize, Asia and Pacific Mathematical Contest in Modeling

    Top 5%.

  • 2022
    Outstanding Graduate of Liaoning Province

Skills

Research (Advanced): Embodied AI, humanoid robotics, robot learning, 3D vision, geometry processing, generative models, scientific machine learning
Programming (Advanced): Python, C/C++, C#, SQL

Languages

Chinese : Native
English : IELTS 7.0 (2025)