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 |
| 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
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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.
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2022 - 2025 China
Master of Science
Tsinghua University
Data Science and Information Technology
- Research in 3D vision, geometry processing, and machine learning.
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2018 - 2022 China
Bachelor of Engineering
Dalian University of Technology
Software Engineering
Projects
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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.
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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.
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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.
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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.
Publications
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2026 A Novel Soil Moisture Retrieval Method via Combining Radiative Transfer Model and Machine Learning
Remote Sensing of Environment · JIF 12.3 (2025) · JCR Q1 (SCIE) · CAS Q1 (Top)
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2026 Towards the Harness of Embodied Agents
arXiv preprint · Technical Report
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2025 Is Nighttime Light Primarily From Human Settlements? Exploring the Spatial Relationship Between NTL and Impervious Surface in Zhejiang Province, China
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · CAS Q2
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2025 The Passive Microwave Remote Sensing in Soil Moisture Retrieval: Products, Models, Applications and Challenges
International Soil and Water Conservation Research · CAS Q1 (Top)
Awards
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2019, 2021 National Scholarship (twice)
Ministry of Education of China
Awarded within the top 4%.
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2020 CSSC Scholarship
Dalian University of Technology
University-level high-value scholarship, top 0.5%.
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2020 First Prize, Asia and Pacific Mathematical Contest in Modeling
Top 5%.
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2022 Outstanding Graduate of Liaoning Province