His research has been published at academic conferences and in journals including WWW, SIGIR, and TKDE, and has received or been nominated for seven best paper awards from ISWC, ESWC, and COLING.
- ISWC 2023 Best Research Paper Nominee
- ISWC 2021 Best Resource Paper Nominee
- ESWC 2020 Best Research Paper Award
- ESWC 2020 Best Resource Paper Nominee
- COLING 2018 Area Chair Favorites
- ISWC 2014 Best Research Paper Nominee
- ISWC 2011 Best Research Paper Nominee
Research Experience
His current research is focused on dataset retrieval: search engines for open datasets, featuring dataset fusion, retrieval, ranking, summarization, recommendation, etc.; graph search algorithms: search algorithms for large graph data, e.g., efficient approximation algorithms for Group Steiner Tree problems; LLM inference: optimization of LLM inference for specific tasks and solving complex problems in critical domains; knowledge-based RAG: retrieval of multi-source heterogeneous knowledge, e.g., knowledge graphs and tables, for enhancing the generation of LLMs.
Background
Professor at the School of Computer Science, Nanjing University. His research interests include big data retrieval, knowledge graph, and LLM inference with applications to search engines, decision support systems, question answering systems, etc.
Miscellany
Email: gcheng (AT) nju.edu.cn
Office: Room 309, Building of Computer Science Technology, Nanjing University Xianlin Campus, 163 Xianlin Avenue, Nanjing 210023, China