Resume-style profile
Researcher in embodied intelligence, multi-agent systems, event-based vision, and aerial robotics. Interested in bridging algorithm design, digital twin simulation, and autonomous systems in real-world deployment.
My research focuses on the intersection of embodied AI and swarm intelligence, covering the full stack from algorithm design and digital-twin simulation to air/ground robotics and autonomous systems in real-world scenarios.
- ICLR 2026 first-author paper on event-enhanced UAV 3D reconstruction dataset.
- CVPR 2026 paper on dynamic dehazing via event cameras.
- Experience across simulation, UAV systems, cyber-physical platforms, and multi-agent control.
Education
Advisor: Prof. Hui Xiong · 3D reconstruction, event cameras, low-altitude economy applications, UAV system design and development.
Average score: 85/100 · Modern control theory, intelligent autonomous systems, matrix analysis, software engineering.
Average score: 80/100 · Machine learning, Python/Java programming, algebra and geometry.
Average score: 80/100 · C programming, electronics, mathematical analysis, quantum mechanics.
Selected Publications
First author · CCF-A · Multimodal 3D reconstruction
Co-first author · Under review
Event-camera-based dynamic dehazing
Co-author
Co-author
First author
Projects
- Designed an autonomous perception and tracking framework for UAV/UGV collaboration in real wetland environments.
- Built YOLO-based target detection and classification, UAV scan-route planning, aerial target following, and SLAM-based ground robot approach control.
- Successfully demonstrated searches for rooster, rabbit, duck, dog, cat, and goose; the framework was adopted as a benchmark for participating teams.
- Studied collision-free route generation for UAV swarms in obstacle-rich 3D scenes.
- Constructed a 3D environmental map and a cost function balancing range and collision risk.
- Combined Grey Wolf Optimization with Deep Reinforcement Learning to iteratively optimize feasible multi-agent flight paths.
- Developed a hybrid platform integrating real-world robots with Gazebo-based virtual agents.
- Enabled synchronized execution across physical and simulated systems for large-scale formation experiments under constrained resources.
Experience
- Built a high-fidelity simulation environment for intelligent aircraft systems in C++.
- Independently completed fixed-wing aircraft dynamics modeling and radar detection system integration.
- Designed and validated control and decision algorithms with closed-loop simulation and robustness testing.
- Led technical solution design for a smart-airport digital twin system.
- Built a Python + Gazebo/ROS simulation platform with visual feedback and transferred trained policies to physical prototypes.
Awards
- Second Prize Scholarship, China Aerospace Science and Technology Corporation (2022)
- Outstanding Student, Beihang University (2022)
- CSC Full Scholarship for Exchange Study at Paris-Saclay University (2019)
Certificates & Hardware
- CAAC civil UAV pilot license (BVLOS pilot / captain)
- STM32, Raspberry Pi, embedded system integration
- Digital twin and sim-to-real system development
Let’s build something intelligent.
Available for research collaboration in embodied AI, event cameras, multi-agent systems, 3D reconstruction, and robotics deployment.