7 papers
Do LLM Embedding Spaces Recover Expert Structure?
Yixuan Zhu, Zhenke Duan, Fanghen Li
Pretrained text embeddings are increasingly used as representational maps, yet high category separability does not imply that their geometry recovers expert-defined structure. We s…
BaySC: Uncovering Tissue Architecture in Spatial Multi-Omics via Probabilistic Spatial Clustering
Xin Li, Xiaofei Dong, Zhenke Duan +5
Spatial domain identification requires jointly modeling molecular signatures and physical coordinates, yet current tools frequently over-smooth biological boundaries, require user-…
THETA: A Textual Hybrid Embedding-based Topic Analysis Framework and AI Scientist Agent for Scalable Computational Social Science
Zhenke Duan, Xin Li
The explosion of big social data has created a scalability trap for traditional qualitative research, as manual coding remains labor-intensive and conventional topic models often s…
Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets
Jiqun Pan, Zhenke Duan, Jiani Tu +2
Industrial question-answering (QA) systems require higher safety and reliability than general-purpose dialogue models, as errors in high-risk scenarios such as equipment fault diag…
YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation
Weichao Pan, Bohan Xu, Xu Wang +4
Fire detection in dynamic environments faces continuous challenges, including the interference of illumination changes, many false detections or missed detections, and it is diffic…
MENGLAN: Multiscale Enhanced Nonparametric Gas Analyzer with Lightweight Architecture and Networks
Zhenke Duan, Jiqun Pan, Jiani Tu
Accurate detection of ethylene concentrations in mixed gases is crucial in chemical production for safety and health purposes. Traditional methods are hindered by high cost and com…