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Education

Northwestern Polytechnical University (NPU), Xi'an, China
BEng in Software Engineering, Sep 2022 – Jun 2026

  • Overall Comprehensive Assessment: 99.9/100 (Rank 1/257)
  • Academic Average: 89.6/100
  • English Proficiency: CET-6 616; IELTS 7.5; First Prize, National English Competition for College Students (NECCS)
  • Research Mentor: Prof. Dian Shao, Unmanned Systems Research Institute, NPU
  • Research Focus: AI algorithms for UAVs, Embodied AI, cognitive intelligence, video understanding

Research Experience

Research Interests: Embodied Intelligence, UAV Vision-Language Navigation, UAV 3D Spatial Understanding, Intelligent Video Understanding

Team Member, Academic Project: Integrating Fine-grained Cognitive Modules for Zero-shot UAV VLN

Feb 2025 – Present
Open Research Project, National Key Laboratory of Unmanned Aerial Vehicle Technology
Supervisors: Prof. Dian Shao (NPU), Prof. Jieqi Shi (NJU)

Overview: Targeted Vision-and-Language Navigation (VLN) for Unmanned Aerial Vehicles, integrating multiple LLM/VLM-based cognitive modules. Designed prompting strategies to leverage mid-sized models and realised information exchange via interactions among cognitive modules. Achieved performance surpassing existing zero-shot methods on the AerialVLN benchmark.

Contributions:

  • Fine-grained dataset construction: Performed quality filtering on AerialVLN and refined referring expressions, producing 300 annotated instruction-trajectory pairs
  • Metric design: Designed evaluation metrics at both instruction and sentence levels for fine-grained UAV VLN
  • Publications: Co-authored three papers: accepted by ICAUS 2025 (EI), submitted to CVPR 2026 and Acta Aeronautica et Astronautica Sinica (EI)

Team Member, Academic Project: Fine-grained Action Recognition under Temporal Corruption

Dec 2024 – Aug 2025
Supervisor: Prof. Dian Shao (NPU)

Overview: Addressing Fine-grained Action Recognition under Temporal Corruption in skeleton sequences, proposed FineTec, a unified framework integrating context-aware sequence completion, skeleton-based spatial decomposition and physics-driven acceleration modeling. Constructed the Gym288-skeleton dataset with 38K fine-grained annotations. Achieved 89.1% and 78.1% Top-1 accuracy on Gym99-severe and Gym288-severe.

Contributions:

  • Fine-grained dataset construction: Completed annotations for 12K segments of competitive sports videos based on Gym99, forming the Gym288-skeleton dataset
  • Algorithm design: Co-designed the fine-grained action recognition architecture; implemented the skeleton sequence completion module using in-context learning and multi-mask strategies
  • Publication: Co-authored paper accepted by AAAI 2026

Team Leader, College Students' Innovative Training Program

Jun 2024 – Dec 2024
Project: Public Transport Anomaly Diagnosis and Optimisation System based on Spatio-temporal Causality

Overview: Aggregated multi-source transport and urban data; built a governance pipeline including causal representation, anomaly detection, root-cause tracing, and assistant Q&A, leveraging ST-GNN.

Contributions:

  • Designed seven categories of metrics across multi-source data
  • Developed web system using Vue.js Framework
  • Achievement: Won "Challenge Cup" 2024 "Revealing-the-List" Special Track — Second Prize

Publications

  1. Shao, D., Shi, M., Liu, L. (2026). FineTec: Fine-Grained Action Recognition under Temporal Corruption via Skeleton Decomposition and Sequence Completion. Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026).

  2. Shao, D., Liu, L., Xu, Z., Bai, J. (2026). Vision-and-Language Navigation for Unmanned Systems: Progress and Perspectives. Proceedings of the 5th International Conference on Autonomous Unmanned Systems (ICAUS 2025) (EI indexed).

  3. Shao, D., Xu, Z., Wang, P., Liu, L., Wang, Y., Shi, J., Huo, J. (2025). FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation. Submitted to CVPR 2026.

  4. Shao, D., Tang, C., Chang, M., Liu, L., Wang, Y., Li, H., Bai, J. (2025). Advances and outlook on large model–enabled intelligent unmanned aerial vehicles. Submitted to Acta Aeronautica et Astronautica Sinica.

Patents

Invention Patents

  1. Shao, D., Shi, M., Bai, J., Xu, S., Chen, H., Huang, Y., Liu, L. (2025). Fine-grained human motion generation method based on physical laws and skeleton guidance. Granted, No. ZL202510575275.6.

  2. Liu, L., Sun, B., He, L. (2025). Humanoid robot navigation method using a hybrid fuzzy neural network and adaptive PID control algorithm. Published, No. CN120385341A.

  3. Shao, D., Xu, Z., Wang, P., Liu, L., Shi, J., Wang, Y., Huo, J. (2025). Zero-finetuning vision-language navigation method for UAVs via integration of fine-grained cognitive modules. Application pending.

  4. Shao, D., Shi, M., Liu, L. (2025). Fine-grained action recognition under temporally corrupted sequences via skeleton decomposition and sequence completion. Application pending.

Software Copyrights

  1. Liu, L., Li, H. (2023). Time-window constrained multi-node path planning system. No. 12125321.

  2. Li, Y., Liu, L., Li, H. (2024). UAV-enabled low-altitude logistics planning system. No. 13950938.

  3. Liu, L., Zhang, S., Li, Z., et al. (2025). GTD-based task assignment and management system. No. 15861786.

Translated Monograph

  1. Henze, B. (2026). Whole-Body Control for Multi-Contact Balancing of Humanoid Robots: Design and Experiments (He, L., Ma, Y., Liu, L., & Shi, Y., Trans.). Beijing: National Defense Industry Press.

Honors & Awards

Competitions

International/National

  • MCM/ICM 2024 & 2025 — Honourable Mention
  • NECCS 2023 — First Prize
  • Global Campus AI Algorithm Elite Challenge 2024 (Finals) — First Prize
  • National Robot Championship & Humanoid Robot Olympiad 2024 (Finals) — First Prize
  • "Challenge Cup" 2024 "Revealing-the-List" Special Track (Finals) — Second Prize
  • International Advanced Robotics & Simulation Tech Competition 2024 (Finals) — Second Prize

Provincial

  • FLTRP • Guocai Cup (Interpreting) 2023 (Shaanxi) — Gold Prize
  • China International College Students' Innovation Competition 2024 (Shaanxi) — Gold Prize
  • National 3D Digital Innovation Design Competition 2024 (Shaanxi) — First Prize
  • National Mathematical Modelling Contest 2024 (Shaanxi) — First Prize

Scholarships

  • NPU First-class Scholarship (Top 5%), 2023 & 2024
  • "Multi-div. Vision" Scholarship (1 per school), 2024
  • "Ningbo Future Star" Scholarship (1 per school), 2025

Titles

  • Provincial Outstanding Volunteer, 2024 & 2025
  • NPU Outstanding Student, 2023 & 2024

Internship and Practical Training

QingCloud Technology — Wuhan R&D Centre
AI Development Engineer (Intern)
Jul 2024 – Aug 2024

  • Worked on AI algorithm development and deployment

COP29 (29th UN Climate Change Conference)
Student Representative of NPU
Nov 2024

  • Represented Northwestern Polytechnical University at the UN Climate Change Conference

AAAI 2026 & CVPR 2026
Reviewer
Aug 2025 – Nov 2025

  • Served as peer reviewer for top-tier AI and computer vision conferences

Northwestern Polytechnical University
Teaching Assistant
2024 – 2025

  • C Programming
  • Introduction to AI
  • Intelligent Robots

Skills

  • Programming: Python, C++, JavaScript, Vue.js, LaTeX
  • AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
  • Computer Vision: OpenCV, Computer Vision, Video Understanding
  • Robotics: UAV Control, ROS, Navigation Systems
  • Languages: English (IELTS 7.5, CET-6 616), Chinese (Native)