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[{Image src='gcheng.jpeg' height='200px'}]
[{Image src='gcheng.jpg' height='200px'}]
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*__Office__: Room 309, Building of Computer Science Technology, Nanjing University Xianlin Campus, 163 Xianlin Avenue, 210023 Nanjing, China
*__Office__: Room 309, Building of Computer Science Technology, Nanjing University Xianlin Campus, 163 Xianlin Avenue, Nanjing 210023, China
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*__Twitter__: [gong_cheng|https://twitter.com/gong_cheng]
*__Twitter__: [Gong Cheng|https://twitter.com/gong_cheng]
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Gong Cheng is a professor at the Department of Computer Science and Technology, Nanjing University. His research interests include __big data search__, __knowledge graph__, and __neuro-symbolic reasoning__ with applications to data search engines, knowledge computing platforms, question answering systems, etc. His research has been published at conferences and in journals including WWW and TKDE, and has received or been nominated for seven best paper awards from ISWC, ESWC, and COLING. He served as PC co-chairs of ISWC 2024 and CCKS 2023.
Gong Cheng is a 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. His research has been published at academic conferences and in journals including WWW, SIGIR, and TKDE, and has received or been nominated for eight best paper awards from ISWC, ESWC, and COLING. He served as PC co-chairs of ISWC 2024 and CCKS 2023.
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* __data search engines__: more effective data search engines, featuring data fusion, retrieval, ranking, summarization, recommendation, etc.; [[ SIGIR 2024 | SIGIR 2024 | [ISWC 2023|https://doi.org/10.1007/978-3-031-47240-4_2] | [TKDE 2023|https://doi.org/10.1109/TKDE.2021.3095309] ]
* __knowledge graph search__: search algorithms for large knowledge graphs, e.g., efficient approximation algorithms for Steiner Tree problems; [[ WWW2024 | [WWW 2023|https://doi.org/10.1145/3543507.3583257] | [WWW 2021|https://doi.org/10.1145/3442381.3449900] | [WWW 2020|https://doi.org/10.1145/3366423.3380110] ]
* __large language model and reasoning__: fusion of neural large language models with symbolic reasoning over knowledge bases for solving complex problems. [[ [AAAI 2023|https://doi.org/10.1609/aaai.v37i11.26543] | [ACL 2022|https://doi.org/10.18653/v1/2022.acl-long.494] | [AAAI 2021|https://doi.org/10.1609/aaai.v35i15.17570]]
* __data retrieval and RAG__: multi-source data retrieval, including dataset retrieval, data selection, knowledge graph RAG, etc.;\\[[ [SIGIR 2026|https://doi.org/10.1145/3805712.3808588] | [EMNLP 2025|https://doi.org/10.18653/v1/2025.emnlp-main.353] | [SIGIR 2025|https://doi.org/10.1145/3726302.3730120] ]
* __graph algorithm design and analysis__: search algorithms for large-scale graph data, e.g., Group Steiner Tree algorithms;\\[[ VLDB 2026 | [WWW 2026|https://doi.org/10.1145/3774904.3792210] | [WWW 2024|https://doi.org/10.1145/3589334.3645325] ]
* __multimodal knowledge reasoning__: multimodal data governance, knowledge extraction and fusion, trustworthy reasoning and decision support.\\[[ ICML 2026 | ACL 2026 | ICLR 2026 ]
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*[My DBLP page|https://dblp.org/pid/69/1215-1.html]
*[My Google Scholar profile|https://scholar.google.com/citations?user=_ncKAiwAAAAJ]
*[DBLP|https://dblp.org/pid/69/1215-1.html]
*[Google Scholar|https://scholar.google.com/citations?user=_ncKAiwAAAAJ]
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*ESWC 2026 Best Resource Paper Nominee
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*CIKM 2021 Best Reviewer Award
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*Poster, Demo & Lightning Talk co-chair of ISWC 2025
*Publicity co-chair of CCF BigData 2025
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*ISWC 2022-2024
*ESWC 2023
*ACL 2023
*CIKM 2020-2023
*ISWC 2022-2026
*CIKM 2020-2026
*ESWC 2023, 2025-2026
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!PC member of
*WWW 2017-2024
*ACL/ARR 2023, 2025-2026
*AAAI 2026-2027
*KDD 2026
!PC member or reviewer of
*WWW 2017-2026
*SIGIR 2023-2026
*WSDM 2025-2026
*ECIR 2026
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*SIGIR 2023-2024
*AAAI 2021-2024
*IJCAI 2022
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*COLING 2022-2024
*DASFAA 2023-2024
*IEEE BigData 2024
*ADMA 2023-2024
*COLING 2022-2025
*AAAI 2021-2025
*IJCAI 2022, 2025-2026
*NeurIPS 2025
*ICLR 2025-2026