Hi! I am Xuning He, an undergraduate student in AI at Nankai University. My research interests include LLM & Agents, Embodied AI, and decision planning that combines large language models with optimization solvers.

πŸ“–Education

  • Sep 2023 - Present, Undergraduate Student in AI, Nankai University
    • GPA: 3.825/4.0; Rank: 1/53
    • Major courses: Machine Learning, AI Technologies, Fundamentals of Machine Vision, Principles of Automatic Control, Data Structures, Modern Control Theory, etc.

πŸ“‘Selected Publications

πŸ”¬Research Projects

  • May 2026 - now, Semantic-Level Cooperative Diversion Decision-Making for Intelligent Connected Vehicles
    • Institution: Department of Automation, Tsinghua University
    • Studies cooperative decision-making for multiple connected vehicles with semantic driving intentions in urban expressway weaving areas; builds a hierarchical framework of upper-level semantic planning by LLMs and lower-level precise decisions by optimization solvers.
    • Role: Project leader.
  • Jan 2026 - Apr 2026, Generative LLM-Driven Differentiable Embodied Co-Design
    • Institution: College of Artificial Intelligence, Tsinghua University
    • Explores a Meta-Embodied-Co-Design approach that breaks the dual-loop pipeline, uses LLM Coding to explore design space, and optimizes design efficiency and quality through mathematical formulations.
    • Role: Project leader and main lead for the laboratory hardware direction.
  • Oct 2025 - Jan 2026, Meta Context Engineering via Agentic Skill Evolution
    • Institution: School of Intelligence Science and Technology, Peking University
    • Proposed Meta Context Engineering (MCE), which co-evolves context skills and context artifacts to replace the heuristic generation-reflection framework in Context Engineering.
    • Outcome: ICML 2026; achieved 5.6-53.8% relative improvement over SOTA methods.
  • Jun 2025 - Sep 2025, Reinforcement Learning for Multi-Truck Multi-Drone Collaborative Delivery
    • Institution: Swarm Intelligence and Pattern Recognition Research Group, Nankai University
    • Built a MILP model with time-window constraints and an end-to-end reinforcement learning model, using graph attention networks for global information and a scoring network for task decisions.
    • Outcome: Submitted to T-ITS (SCI Q1); third author.
  • Feb 2025 - Jun 2025, Intelligent Bionic Seahorse Robot
    • Institution: Swarm Intelligence and Pattern Recognition Research Group, Nankai University
    • Led the tail grasping module and mechanical system; designed a multi-joint cable-driven underactuated grasping mechanism, completed 3D printing and hardware setup, and used CPG-based coupled control for autonomous navigation and target grasping with visual and infrared feedback.
    • Outcome: National runner-up in the International Advanced Robotics and Simulation Technology Competition; Tianjin Undergraduate Innovation and Entrepreneurship Project.
  • Feb 2025 - May 2025, Multi-Servo Home Service Robot
    • Institution: Intelligent Perception and Human-Computer Interaction Laboratory, Nankai University
    • Built a ROS-based workflow integrating voice interaction, navigation and obstacle avoidance, YOLOv11 object recognition, and robotic arm grasping.
    • Outcome: Third Prize, China Robot Competition and RoboCup China Open.

πŸŽ–Honors and Awards

  • National Scholarship
  • Honor AI Person of the Year
  • Nankai University Merit Student
  • Excellent Teaching Assistant for Probability Theory and Mathematical Statistics, Nankai University
  • Third Prize, China Robot Competition and RoboCup China Open
  • National Runner-up, International Advanced Robotics and Simulation Technology Competition
  • First Prize, North China Five-Province Robot Competition
  • Meritorious Winner, Mathematical Contest in Modeling

🌈Language Proficiency

  • Mandarin: Native
  • English: Fluent, CET-6 505