Linfeng Fan

Public record / 2026

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Curriculum Vitae

Linfeng Fan

Verifiable world models for embodied agents

Beijing, China2023200424@ruc.edu.cnlinfengfan.com
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01 / Profile

Research profile

I study how agents can ground decisions in the right evidence, detect when that evidence is insufficient, and make targeted corrections before acting.

Current role
Undergraduate researcher
Affiliation
Gaoling School of Artificial Intelligence, Renmin University of China
Research question
How can an agent recognize when its evidence is no longer sufficient for action, then correct the right part of its state instead of continuing blindly?
Long-term goal
Self-correcting dexterous manipulation through latent predictive world models.

02 / Research

Research areas

  1. 01

    Predictive world models for embodied agents

    Build compact latent states grounded in vision, proprioception, and contact, with the long-term goal of self-correcting dexterous manipulation.

  2. 02

    Evidence-grounded agent systems

    Trace which evidence may control an action, and detect when environmental change breaks an operational obligation rather than merely changing an incidental value.

  3. 03

    Reliable multimodal reasoning

    Locate spatiotemporal evidence at the decoding layers where video grounding can still be repaired, then test inconsistent temporal reasoning.

03 / Publications

Preprints

  1. 2026Co-first author (equal contribution)

    The Granularity Mismatch in Agent Security: Argument-Level Provenance Solves Enforcement and Isolates the LLM Reasoning Bottleneck

    Linfeng Fan*, Ziwei Li*, Yuan Tian, Yichen Wang, Rongsheng Li, Xiong Wang†

    arXiv preprint · 2605.11039

    arXiv record
  2. 2026First author

    Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries

    Linfeng Fan, Yuan Tian, Ziwei Li, Zhiwu Lu†

    arXiv preprint · 2605.10990

    arXiv record
  3. 2026First author

    STEAR: Layer-Aware Spatiotemporal Evidence Intervention for Hallucination Mitigation in Video Large Language Models

    Linfeng Fan, Yuan Tian, Ziwei Li, Zhiwu Lu†

    arXiv preprint · 2604.03045

    arXiv record

* Equal contribution · † Corresponding author

04 / Experience

Research & projects

Apr. 2026-Present

Beijing, China

Beijing Noetix Robotics Technology Group Co., Ltd.

Dexterous-Hand and Humanoid Embodied Intelligence

Project Lead · Advisor: Eric Tian

Real-system work spanning dexterous-hand policy training, cross-platform integration, and ongoing work toward joint G1 whole-body and dexterous-hand training.

  • CompletedTrained a Wuji dexterous hand mounted on a Tianji robotic arm across multiple manipulation tasks using NVIDIA GR00T.
  • CompletedMigrated and integrated the same Wuji hand onto a Unitree G1 humanoid and coupled it with the team's GMT control stack.
  • In progressExtending the system toward joint G1 whole-body and dexterous-hand training, with iterative work on coordination, manipulation, and robustness.
  • PlannedPlanning a HumanEgo-inspired wearable-glasses demonstration and human-to-dexterous-hand retargeting pipeline to reduce task-specific real-robot demonstration collection.

Jun.-Aug. 2025

Beijing, China

RUC-HUHA Humanoid Robot Team

Bimanual Teleoperation System and Sim-to-Real Deployment

Deputy Captain

Contributed to integration, real-robot debugging, and coordination for an 11-person humanoid robotics team.

  • CompletedBuilt and debugged the VR-to-ROS teleoperation pipeline, including relative coordinate mapping and proportional workspace scaling for dual-arm control.
  • CompletedContributed to MoveIt2-based bimanual motion planning and sim-to-real deployment, including execution deviation, workspace, collision-avoidance, and safety debugging.

05 / Education

Education

Sep. 2023-Jun. 2027 (expected)

Renmin University of China

Bachelor of Science in Artificial Intelligence · Elite Talent Training Program

Gaoling School of Artificial Intelligence · Beijing, China

GPA 3.7/4.0

06 / Honors

Selected honors

2025

World Humanoid Robot Games

RUC-HUHA Humanoid Robot Team

2nd Place (Team)

2024

National Undergraduate Mathematical Modeling Contest

First Prize, Beijing Division

2024

National Undergraduate Innovation and Entrepreneurship Training Program

Beijing Outstanding Project Grant