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HuangBugWei/README.md

Hi, here is Tsung-Wei Huang

  • I am a full-time Research Assistant at the Computer-Aided Engineering Division at National Taiwan University (NTU).
  • I am actively seeking a Ph.D. position for Fall 2026 with a passion for applying advanced AI to solve real-world challenges.
  • I'm always open to academic discussions and cooperation. Don't hesitate to reach out!

My research lies at the intersection of Computer Vision (CV) and Natural Language Processing (NLP), with a strong focus on their application in the Architecture, Engineering, and Construction (AEC) industry. I am passionate about building intelligent systems that can understand, reason, and interact with our physical world.

My specific research interests and contributions include:

  • Foundational & Multimodal Models: Exploring the capabilities of large-scale models (e.g., SAM, Grounding DINO) and developing privacy-centric, locally-deployed LLMs for specialized domains.
  • Retrieval-Augmented Generation: Building robust, hierarchical RAG systems for domain-specific knowledge retrieval, achieving over 1.5x accuracy improvement in construction code verification.
  • Domain Adaptation & Synthetic Data: Bridging the sim-to-real gap by leveraging synthetic data from BIM and digital twins, achieving a 3x improvement in Average Precision (AP) for on-site segmentation tasks.

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  1. DA-MaskRCNN DA-MaskRCNN Public

    domain adaptation on mask rcnn using detectron2 framework

    Python 3

  2. LabelUs LabelUs Public

    my customized label tool for my research

    Python