Jianxin Zhong
M.Sc. Candidate in Aeronautics & Astronautics Science and Technology | UAV Swarm Intelligence Researcher
🚀 School of Aerospace Engineering, Beijing Institute of Technology
📧 clockzinc@163.com | 📺 bilibili channel | 📍 Haidian District, Beijing
🔐 Research Transparency Notice:
"In compliance with institutional policy, all research-related repositories have been made private.
I'm now actively developing public AI tools - stay tuned for PaperPal: An AI-powered academic recommendation system launching this quarter!"
I am interested in Autonomous Unmanned Aerial Systems, with a focus on intelligent decision-making and navigation for UAVs. My specialization includes:
• Autonomous Safe Decision-Making: Developing safe and efficient decision-making frameworks for UAVs to independently execute and complete various autonomous tasks.
• Autonomous Navigation: Designing millisecond-level dynamic obstacle avoidance algorithms for intelligent and adaptive safe trajectory planning.
• Semantic-Driven Mission Orchestration: Utilizing LLM-Agent frameworks to autonomously decompose and manage complex tasks.
| Degree | Institution & Program | Duration |
|---|---|---|
| M.Sc. in Aerospace Science & Technology | Beijing Institute of Technology | 2023.9 - 2026.6 |
| B.Eng. in Flight Vehicle Design | Beijing Institute of Technology (XuTeli Honors Program) | 2019.9 - 2023.6 |
• MAS2DAC Framework: Achieved 1ms-level distributed decision-making (96.5% faster than traditional methods) via attention-based global value networks
• LLM-Agent Hierarchy: Reduced end-to-end latency >50% in dense dynamic environments
• Delayed-SAC Path Planner: Resolved real-time response bottlenecks in complex settings
🏷️ First-Author Papers
| Title | Publication Venue | Status/Award |
|---|---|---|
| "LLM-Agent Task Orchestration via Atomic Task Decomposition" | Chinese Journal of Aeronautics | EI (under review) |
| "Delayed Soft Actor-Critic based Path Planning Method for UAV in Dense Obstacles Environment" | ICCSSE 2023 | EI indexed, Best Paper Award |
👥 Co-Authored Papers
| Title | Publication Venue | Status & Position |
|---|---|---|
| "Distributed Adaptive Coalition Task Allocation based on Reachable Region Online Prediction for Multi-Agent Systems" | Defence Technology | SCI Q1 (accepted), 4th author |
| "Adaptive-critic-based Distributed Event-Triggered Augmented Differential Game for Cooperative Systems" | IEEE Trans. Automation Science & Engineering | SCI (accepted), 4th author |
| "基于强化学习冲突消解的大规模无人机集群航迹规划方法" | 兵工学报 | EI重要 (accepted), 4th author |
| Patent Title | Application No. | Type | Inventor Position |
|---|---|---|---|
| Reinforcement Learning UAV Path Planning Method with Delayed Experience Prioritization | CN 202311004197.1 | National Invention Patent | 2nd inventor |
| Monocular Vision Obstacle Localization for UAVs using Data Augmentation | CN 202410425330.9 | National Invention Patent | 4th inventor |
| Differential Flatness-based Trajectory Planning for Fixed-Wing UAVs | CN 202410547697.8 | National Invention Patent | 5th inventor |
| Online Reachable Region Prediction Method for Multi-Agent Systems | - | National Defense Patent | 4th inventor |
| Award | Scope | Competition/Event | Team Rank | Team Role | Date |
|---|---|---|---|---|---|
| First Prize | 🥇National | Future Flight Vehicle Innovation Competition (10th) | 1/5 | Team Leader | Nov 2024 |
| Outstanding Undergraduate Thesis | 🥉Provincial | Beijing Municipal Education Commission | 1/1 | Sole Author | Oct 2023 |
| First Prize | 🥇National | Aerospace Graduation Design Exchange (4th) | 1/1 | Sole Winner | May 2023 |
| Third Prize | 🥇National | Mathematical Contest in Modeling ("HUAWEI Cup" 20th) | 1/3 | Team Lead | Dec 2023 |
| Third Prize | 🥉Provincial | Beijing College Innovation & Entrepreneurship Competition (4th) | 4/10 | Key Contributor | Jun 2025 |
• Intelligent Decision DRL Algorithms (DDPG/TD3/SAC/PPO) • MARL (MADDPG) • LLM-Agent Frameworks
• Swarm Systems ROS/ROS2 Customization • C++ Algorithm Libraries • Semi-Physical Simulation
• UAV Full-Stack eVTOL Communication Networks • Cooperative Control Systems • GCS Design
• Programming Python (PyTorch/TensorFlow) • C++/C • MATLAB
🌐 Heterogeneous UAV Swarm for Urban Emergencies
• Developed search-and-monitoring architecture with adaptive formation control
• Implemented MARL decision engine for disaster response (National 1st Prize)
🤖 LLM-Agent Swarm Orchestration
• Hierarchical framework: Semantic Parsing → Task Decoupling → ReAct Reasoning → Distributed Execution
• 50%+ latency reduction validated on crazyswarm platform
📡 Hardware-in-the-Loop Simulation
• Built semi-physical verification platform with real-time scene editing
• Enabled full-stack validation from algorithms to hardware
• Academic Collaboration: Open to discussions on MARL algorithms and Autonomous swarm systems
• Technical Consultation: UAV swarm development • ROS2 integration • Simulation platforms
• Connect: