8 papers
Better Retrieval, Limited Clustering Gains: A Controlled Study of Multilingual Company Entity Resolution
Yijiashun Qi, Yuxuan Li, Hanzhe Guo
Company name retrieval and final entity clustering can respond differently to encoder adaptation. We study this dependency through a controlled pipeline: train multilingual E5 enco…
Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline
Yijiashun Qi, Yijiazhen Qi, Tanmay Wagh
Identifying the full landscape of small and medium-sized enterprises (SMEs) in specialized industry sectors is critical for supply-chain resilience, yet existing business databases…
Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks
Yijiashun Qi, Hanzhe Guo, Yijiazhen Qi
Small and Medium Enterprises (SMEs) constitute 99.9% of U.S. businesses and generate 44% of economic activity, yet systematically identifying high-potential SMEs remains an open ch…
Modality-Aware Infrared and Visible Image Fusion with Target-Aware Supervision
Tianyao Sun, Dawei Xiang, Tianqi Ding +3
Infrared and visible image fusion (IVIF) is a fundamental task in multi-modal perception that aims to integrate complementary structural and textural cues from different spectral d…
Predicting Asphalt Pavement Friction Using Texture-Based Image Indicator
Bingjie Lu, Zhengyang Lu, Yijiashun Qi +3
Pavement skid resistance is of vital importance for road safety. The objective of this study is to propose and validate a texture-based image indicator to predict pavement friction…
AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation
Tianqi Ding, Dawei Xiang, Tianyao Sun +2
This paper presents a comprehensive review of AI-driven prognostics for State of Health (SoH) prediction in lithium-ion batteries. We compare the effectiveness of various AI algori…
NeRF-Based defect detection
Tianqi, Ding, Dawei Xiang +6
The rapid growth of industrial automation has highlighted the need for precise and efficient defect detection in large-scale machinery. Traditional inspection techniques, involving…
Benchmarking Large Language Models for Image Classification of Marine Mammals
Yijiashun Qi, Shuzhang Cai, Zunduo Zhao +3
As Artificial Intelligence (AI) has developed rapidly over the past few decades, the new generation of AI, Large Language Models (LLMs) trained on massive datasets, has achieved gr…