Yijun Huang

Yijun Huang

Ph.D. Candidate

Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong (CUHK)

Advisor: Prof. Ben M. Chen

Yijun Huang is a Ph.D. candidate in the Department of Mechanical and Automation Engineering (MAE) at The Chinese University of Hong Kong (CUHK), advised by Prof. Ben M. Chen. His research focuses on LLM agents, retrieval-augmented systems, and digital twins for cyber-physical applications in the built environment.

Research Interests

  • LLM agents & retrieval-augmented generation for cyber-physical systems
  • Digital twins for the built environment and infrastructure inspection
  • Embodied AI / UAV systems for sensing, monitoring, and decision support
  • Trustworthy AI pipelines connecting models, simulation, and field data

News

  • Jul 2026 Best Poster Presentation at Nexus Forum 2026 (Oxford) for HEAT-DT.
  • 2025–2026 Indoor & Outdoor Competition Champion (Team CWT United), IMAV 2025.
  • 2025 Best Student Paper Award, IEEE ICCA 2025 (DefectGPT).

Selected Publications

  1. Y. Huang, Y. Li, J. Zhang, X. Chen, A. Lam, M.J. Skibniewski, B.M. Chen. “Asset-Centric and Propagation-Aware Retrieval-Augmented Generation for Building Defect Diagnosis and Asset Maintenance Decision Support,” Automation in Construction (under review), 2026.
  2. Y. Huang, Y. Li, X. Chen, B.M. Chen. “Harnessing LLM-based multi-agent framework for scenario-aware building energy and environmental modelling,” Engineering Applications of Artificial Intelligence (under review), 2026.
  3. Y. Huang, J. Zhang, X. Chen, A. Lam, B.M. Chen. “DefectGPT: An Automatic Retrieval-Augmented Framework for Digital Twin-Based Defect Information Management and Analytics,” IEEE ICCA 2025 — Best Student Paper Award.
  4. B. Zhao, J. Zhang, Y. Huang, X. Chen, B.M. Chen. “From instance segmentation to physical quantification: High-resolution UAV-based dataset for facade defect assessment,” Automation in Construction, 2026.
  5. Q.G. Duan, B. Zhao, M. Han, Y. Huang, B.M. Chen. “FHGS: Feature-Homogenized Gaussian Splatting,” NeurIPS 2025.
  6. Y. Huang, J. Zhang, X. Chen, A.H.F. Lam, B.M. Chen. “From Simulation to Prediction: Enhancing Digital Twins with Advanced Generative AI Technologies,” IEEE ICCA 2024.

Full list in the CV (PDF)

Teaching

  • MAEG 4060 Virtual Reality Systems and Applications (TA), CUHK, 2023–2026
  • ENGG 1910 Demystifying Artificial Intelligence (TA), CUHK, 2023–2026
  • MAEG 5720 Computer Vision in Practice (TA), CUHK, 2023–2024

Notes & Writing

Occasional technical notes and reading logs.

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