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)