In-situ Melt Pool Monitoring of Laser Aided Additive Manufacturing using Infrared Thermal Imaging. - Lequn Chen 002; Xiling Yao; Nicholas Poh Huat Ng; Seung Ki Moon (IEEM, 2022)

Additive Manufacturing for Automotive Industry: Status, Challenges and Future Perspectives. - Lequn Chen 002; Nicholas Poh Huat Ng; Jihwan Jung; Seung Ki Moon (IEEM, 2023)

Adaptive Voxelization and Material-dependent Process Parameter Assignment for Multi-material Additive Manufacturing. - Yuxuan Xie; Lequn Chen 002; Xiling Yao; Wenhe Feng; Seung Ki Moon (IEEM, 2023)

In-situ crack and keyhole pore detection in laser directed energy deposition through acoustic signal and deep learning. - Lequn Chen 002; Xiling Yao; Chaolin Tan; Weiyang He; Jinlong Su; Fei Weng; Youxiang Chew; Nicholas Poh Huat Ng; Seung Ki Moon (CoRR, 2023)

Multisensor fusion-based digital twin in additive manufacturing for in-situ quality monitoring and defect correction. - Lequn Chen 002; Xiling Yao; Kui Liu; Chaolin Tan; Seung Ki Moon (CoRR, 2023)

Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition. - Lequn Chen 002; Guijun Bi; Xiling Yao; Chaolin Tan; Jinlong Su; Nicholas Poh Huat Ng; Youxiang Chew; Kui Liu; Seung Ki Moon (Robotics Comput. Integr. Manuf., 2023)

In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review. - Lequn Chen 002; Guijun Bi; Xiling Yao; Jinlong Su; Chaolin Tan; Wenhe Feng; Michalis Benakis; Youxiang Chew; Seung Ki Moon (CoRR, 2024)

Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing. - Jiarui Xie; Mutahar Safdar; Lequn Chen 002; Seung Ki Moon; Yaoyao Fiona Zhao (CoRR, 2024)

Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing. - Muhammad Tayyab Khan; Wenhe Feng; Lequn Chen 002; Ye Han Ng; Nicholas Yew Jin Tan; Seung Ki Moon (CoRR, 2024)

Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs. - Muhammad Tayyab Khan; Lequn Chen 002; Ye Han Ng; Wenhe Feng; Nicholas Yew Jin Tan; Seung Ki Moon (CoRR, 2024)

Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction. - Muhammad Tayyab Khan; Lequn Chen 002; Ye Han Ng; Wenhe Feng; Nicholas Yew Jin Tan; Seung Ki Moon (CoRR, 2024)

Leveraging Vision-Language Models for Manufacturing Feature Recognition in Computer-Aided Designs. - Muhammad Tayyab Khan; Lequn Chen 002; Ye Han Ng; Wenhe Feng; Nicholas Yew Jin Tan; Seung Ki Moon (J. Comput. Inf. Sci. Eng., 2025)

Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer. - Muhammad Tayyab Khan; Zane Yong; Lequn Chen 002; Jun Ming Tan; Wenhe Feng; Seung Ki Moon (CoRR, 2025)

Large Language Model-Powered Decision Support for a Metal Additive Manufacturing Knowledge Graph. - Muhammad Tayyab Khan; Lequn Chen 002; Wenhe Feng; Seung Ki Moon (CoRR, 2025)

From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge. - Muhammad Tayyab Khan; Lequn Chen 002; Zane Yong; Jun Ming Tan; Wenhe Feng; Seung Ki Moon (CoRR, 2025)