- mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs (ISWC 2025)
- Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph (SIGIR 2025)
- μDS: Multi-Objective Data Snippet Extraction for Dataset Search (SIGIR 2025)
- DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search (ISWC 2024)
- Enhancing Dataset Search with Compact Data Snippets (SIGIR 2024)
- ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries (SIGIR 2024)
- An Empirical Investigation of Implicit and Explicit Knowledge-Enhanced Methods for Ad Hoc Dataset Retrieval (EMNLP-Findings 2023)
- Dense Re-Ranking with Weak Supervision for RDF Dataset Search (ISWC 2023, Best Research Paper Nominee)
- ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval (SIGIR 2022)
- Recipient of the Young Talent Support Project Doctoral Special Program of China Association for Science and Technology (First session, 3,226 recipients nationwide)
- National Scholarship (For Ph.D. students), 2024
- Outstanding Graduate Student Role Model of Nanjing University, 2024
- Outstanding Graduate of Shandong Province, 2021
- Silver Medal of The ACM-ICPC Asia Regional Contest, Shanghai Site, 2019
- Silver Medal of The ACM-ICPC Asia Regional Contest, Xuzhou Site, 2018
- National Scholarship (For undergraduate students), 2018
Research Experience
No specific work experience mentioned, but involved in multiple research projects.
Education
- Ph.D., Nanjing University, 2023-present, Advisor: Prof. Gong Cheng
- M.Sc., Nanjing University, 2021-2023, admitted without entrance examination
- B.Eng., Harbin Institute of Technology at Weihai, 2021
Background
Research interests include data search, information retrieval, and retrieval augmented generation (RAG). Currently, a second-year Ph.D. candidate in the Websoft Research Group at the School of Computer Science and Technology, Nanjing University.