Boyan Xu
Scholar

Boyan Xu

Google Scholar ID: AMUlDdEAAAAJ
Guangdong University of Technology
Text-to-SQLLarge Language ModelSentiment AnalysisMachine Learning
Citations & Impact
All-time
Citations
345
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • 2025: Paper 'GenLink' accepted by EMNLP 2025 Main Conference
  • 2025: Three supervised papers accepted by NAACL 2025
  • 2025: Project 'Chat2DB' accepted to ICDE 2025 Demo Track
  • 2024: Two supervised papers accepted by COLING 2025
  • 2024: Supervised paper 'S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis' accepted by ACL 2024 Main Conference
  • Published multiple papers at NAACL 2025 and COLING 2025 on zero-shot NER, multi-turn Text-to-SQL, aspect sentiment quad prediction, and event causality identification
  • Proposed IRRA framework, achieving state-of-the-art performance in zero-shot cross-domain Named Entity Recognition
  • Proposed Track-SQL framework, improving execution accuracy by 7.1% on SparC and 9.55% on CoSQL
  • Proposed S²IT framework, progressively integrating syntactic knowledge into LLMs to enhance aspect sentiment quad prediction
Background
  • Researcher at Guangdong University of Technology, affiliated with the Data Mining & Information Retrieval Laboratory
  • Conducting research under the supervision of Prof. Ruichu Cai
  • Research focuses on Text-to-SQL, Large Language Models (LLMs), and Sentiment Analysis
  • Aims to bridge the gap between natural language processing and database management to enhance human-computer interaction
  • Open to collaboration with motivated students and industry partners on Text-to-SQL agents, causal LLMs, and Aspect-Based Sentiment Analysis (ABSA)