most citedLarge Language Models for Computer-Aided Design: A Survey

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

LBTCap: A Lightweight Bilateral Transformer for Real-Time Remote Sensing Image Change Captioning

Licheng Zhang, Siew-Kei Lam, Naveed Akhtar

Remote sensing image change captioning (RSICC) generates natural-language descriptions of semantic changes between paired remote sensing images (RSIs), supporting applications such…

cs.CV2026

Beyond Pixel Diffs: Benchmarking Image Change Captioning for Web UI Visual Regression Testing

Licheng Zhang, Bach Le, Pengtao Zhao +1

Visual regression testing (VRT) is a standard quality assurance step in modern software release pipelines. On every change, it re-renders user interface (UI) screenshots, compares…

cs.CV2025

Automated Facility Enumeration for Building Compliance Checking using Door Detection and Large Language Models

Licheng Zhang, Bach Le, Naveed Akhtar +1

Building compliance checking (BCC) is a critical process for ensuring that constructed facilities meet regulatory standards. A core component of BCC is the accurate enumeration of…

cs.CV2025

DoorDet: Semi-Automated Multi-Class Door Detection Dataset via Object Detection and Large Language Models

Licheng Zhang, Bach Le, Naveed Akhtar +1

Accurate detection and classification of diverse door types in floor plans drawings is critical for multiple applications, such as building compliance checking, and indoor scene un…

cs.LG2025★ 1 cited

Large Language Models for Computer-Aided Design: A Survey

Licheng Zhang, Bach Le, Naveed Akhtar +2

Large Language Models (LLMs) have seen rapid advancements in recent years, with models like ChatGPT and DeepSeek, showcasing their remarkable capabilities across diverse domains. W…